experiment: build with a single image with all the deps

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

.dockerignore

@@ -1,5 +1,16 @@
 .idea
+.github
+.vscode
 models
 examples/chatbot-ui/models
 examples/rwkv/models
 examples/**/models
+Dockerfile*
+__pycache__
+
+# SonarQube
+.scannerwork
+
+# backend virtual environments
+**/venv
+backend/python/**/source

.editorconfig

@@ -0,0 +1,31 @@
+
+root = true
+
+[*]
+indent_style = space
+indent_size = 2
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
+
+[*.go]
+indent_style = tab
+
+[Makefile]
+indent_style = tab
+
+[*.proto]
+indent_size = 2
+
+[*.py]
+indent_size = 4
+
+[*.js]
+indent_size = 2
+
+[*.yaml]
+indent_size = 2
+
+[*.md]
+trim_trailing_whitespace = false

.env

@@ -1,33 +1,33 @@
 ## Set number of threads.
 ## Note: prefer the number of physical cores. Overbooking the CPU degrades performance notably.
-# THREADS=14
+# LOCALAI_THREADS=14
 
 ## Specify a different bind address (defaults to ":8080")
-# ADDRESS=127.0.0.1:8080
+# LOCALAI_ADDRESS=127.0.0.1:8080
 
 ## Default models context size
-# CONTEXT_SIZE=512
+# LOCALAI_CONTEXT_SIZE=512
 #
 ## Define galleries.
 ## models will to install will be visible in `/models/available`
-# GALLERIES=[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}]
+# LOCALAI_GALLERIES=[{"name":"localai", "url":"github:mudler/LocalAI/gallery/index.yaml@master"}]
 
 ## CORS settings
-# CORS=true
-# CORS_ALLOW_ORIGINS=*
+# LOCALAI_CORS=true
+# LOCALAI_CORS_ALLOW_ORIGINS=*
 
 ## Default path for models
 #
-MODELS_PATH=/models
+# LOCALAI_MODELS_PATH=/models
 
 ## Enable debug mode
-# DEBUG=true
+# LOCALAI_LOG_LEVEL=debug
 
 ## Disables COMPEL (Diffusers)
 # COMPEL=0
 
 ## Enable/Disable single backend (useful if only one GPU is available)
-# SINGLE_ACTIVE_BACKEND=true
+# LOCALAI_SINGLE_ACTIVE_BACKEND=true
 
 ## Specify a build type. Available: cublas, openblas, clblas.
 ## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit.
@@ -46,13 +46,13 @@ MODELS_PATH=/models
 # GO_TAGS=stablediffusion
 
 ## Path where to store generated images
-# IMAGE_PATH=/tmp
+# LOCALAI_IMAGE_PATH=/tmp/generated/images
 
 ## Specify a default upload limit in MB (whisper)
-# UPLOAD_LIMIT
+# LOCALAI_UPLOAD_LIMIT=15
 
 ## List of external GRPC backends (note on the container image this variable is already set to use extra backends available in extra/)
-# EXTERNAL_GRPC_BACKENDS=my-backend:127.0.0.1:9000,my-backend2:/usr/bin/backend.py
+# LOCALAI_EXTERNAL_GRPC_BACKENDS=my-backend:127.0.0.1:9000,my-backend2:/usr/bin/backend.py
 
 ### Advanced settings ###
 ### Those are not really used by LocalAI, but from components in the stack ###
@@ -71,19 +71,24 @@ MODELS_PATH=/models
 ### Define the number of parallel LLAMA.cpp workers (Defaults to 1)
 # LLAMACPP_PARALLEL=1
 
+### Define a list of GRPC Servers for llama-cpp workers to distribute the load
+# https://github.com/ggerganov/llama.cpp/pull/6829
+# https://github.com/ggerganov/llama.cpp/blob/master/examples/rpc/README.md
+# LLAMACPP_GRPC_SERVERS=""
+
 ### Enable to run parallel requests
-# PARALLEL_REQUESTS=true
+# LOCALAI_PARALLEL_REQUESTS=true
 
 ### Watchdog settings
 ###
 # Enables watchdog to kill backends that are inactive for too much time
-# WATCHDOG_IDLE=true
-#
-# Enables watchdog to kill backends that are busy for too much time
-# WATCHDOG_BUSY=true
+# LOCALAI_WATCHDOG_IDLE=true
 #
 # Time in duration format (e.g. 1h30m) after which a backend is considered idle
-# WATCHDOG_IDLE_TIMEOUT=5m
+# LOCALAI_WATCHDOG_IDLE_TIMEOUT=5m
+#
+# Enables watchdog to kill backends that are busy for too much time
+# LOCALAI_WATCHDOG_BUSY=true
 #
 # Time in duration format (e.g. 1h30m) after which a backend is considered busy
-# WATCHDOG_BUSY_TIMEOUT=5m
+# LOCALAI_WATCHDOG_BUSY_TIMEOUT=5m

.github/bump_docs.sh

@@ -2,6 +2,6 @@
 set -xe
 REPO=$1
 
-LATEST_TAG=$(curl -s "https://api.github.com/repos/$REPO/releases/latest" | jq -r '.name')
+LATEST_TAG=$(curl -s "https://api.github.com/repos/$REPO/releases/latest" | jq -r '.tag_name')
 
 cat <<< $(jq ".version = \"$LATEST_TAG\"" docs/data/version.json) > docs/data/version.json

.github/checksum_checker.sh

@@ -0,0 +1,126 @@
+#!/bin/bash
+# This scripts needs yq and huggingface_hub to be installed
+# to install hugingface_hub run pip install huggingface_hub
+
+# Path to the input YAML file
+input_yaml=$1
+
+# Function to download file and check checksum using Python
+function check_and_update_checksum() {
+    model_name="$1"
+    file_name="$2"
+    uri="$3"
+    old_checksum="$4"
+    idx="$5"
+
+    # Download the file and calculate new checksum using Python
+    new_checksum=$(python3 -c "
+import hashlib
+from huggingface_hub import hf_hub_download, get_paths_info
+import requests
+import sys
+import os
+
+uri = '$uri'
+file_name = uri.split('/')[-1]
+
+# Function to parse the URI and determine download method
+# Function to parse the URI and determine download method
+def parse_uri(uri):
+    if uri.startswith('huggingface://'):
+        repo_id = uri.split('://')[1]
+        return 'huggingface', repo_id.rsplit('/', 1)[0]
+    elif 'huggingface.co' in uri:
+        parts = uri.split('/resolve/')
+        if len(parts) > 1:
+            repo_path = parts[0].split('https://huggingface.co/')[-1]
+            return 'huggingface', repo_path
+    return 'direct', uri
+
+def calculate_sha256(file_path):
+    sha256_hash = hashlib.sha256()
+    with open(file_path, 'rb') as f:
+        for byte_block in iter(lambda: f.read(4096), b''):
+            sha256_hash.update(byte_block)
+    return sha256_hash.hexdigest()
+
+download_type, repo_id_or_url = parse_uri(uri)
+
+new_checksum =  None
+
+# Decide download method based on URI type
+if download_type == 'huggingface':
+    # Use HF API to pull sha
+    for file in get_paths_info(repo_id_or_url, [file_name], repo_type='model'):
+        try:
+            new_checksum = file.lfs.sha256
+            break
+        except Exception as e:
+            print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
+            sys.exit(2)
+    if new_checksum is None:
+        try:
+            file_path = hf_hub_download(repo_id=repo_id_or_url, filename=file_name)
+        except Exception as e:
+            print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
+            sys.exit(2)
+else:
+    response = requests.get(repo_id_or_url)
+    if response.status_code == 200:
+        with open(file_name, 'wb') as f:
+            f.write(response.content)
+        file_path = file_name
+    elif response.status_code == 404:
+        print(f'File not found: {response.status_code}', file=sys.stderr)
+        sys.exit(2)
+    else:
+        print(f'Error downloading file: {response.status_code}', file=sys.stderr)
+        sys.exit(1)
+
+if new_checksum is None:
+    new_checksum = calculate_sha256(file_path)
+    print(new_checksum)
+    os.remove(file_path)
+else:
+    print(new_checksum)
+
+")
+
+    if [[ "$new_checksum" == "" ]]; then
+        echo "Error calculating checksum for $file_name. Skipping..."
+        return
+    fi
+
+    echo "Checksum for $file_name: $new_checksum"
+
+    # Compare and update the YAML file if checksums do not match
+    result=$?
+    if [[ $result -eq 2 ]]; then
+        echo "File not found, deleting entry for $file_name..."
+        # yq eval -i "del(.[$idx].files[] | select(.filename == \"$file_name\"))" "$input_yaml"
+    elif [[ "$old_checksum" != "$new_checksum" ]]; then
+        echo "Checksum mismatch for $file_name. Updating..."
+        yq eval -i "del(.[$idx].files[] | select(.filename == \"$file_name\").sha256)" "$input_yaml"
+        yq eval -i "(.[$idx].files[] | select(.filename == \"$file_name\")).sha256 = \"$new_checksum\"" "$input_yaml"
+    elif [[ $result -ne 0 ]]; then
+        echo "Error downloading file $file_name. Skipping..."
+    else
+        echo "Checksum match for $file_name. No update needed."
+    fi
+}
+
+# Read the YAML and process each file
+len=$(yq eval '. | length' "$input_yaml")
+for ((i=0; i<$len; i++))
+do
+    name=$(yq eval ".[$i].name" "$input_yaml")
+    files_len=$(yq eval ".[$i].files | length" "$input_yaml")
+    for ((j=0; j<$files_len; j++))
+    do
+        filename=$(yq eval ".[$i].files[$j].filename" "$input_yaml")
+        uri=$(yq eval ".[$i].files[$j].uri" "$input_yaml")
+        checksum=$(yq eval ".[$i].files[$j].sha256" "$input_yaml")
+        echo "Checking model $name, file $filename. URI = $uri, Checksum = $checksum"
+        check_and_update_checksum "$name" "$filename" "$uri" "$checksum" "$i"
+    done
+done

.github/ci/modelslist.go

@@ -0,0 +1,297 @@
+package main
+
+import (
+	"fmt"
+	"html/template"
+	"io/ioutil"
+	"os"
+
+	"gopkg.in/yaml.v3"
+)
+
+var modelPageTemplate string = `
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>LocalAI models</title>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/flowbite/2.3.0/flowbite.min.css" rel="stylesheet" />
+    <script src="https://cdn.jsdelivr.net/npm/vanilla-lazyload@19.1.3/dist/lazyload.min.js"></script>
+
+    <link
+    rel="stylesheet"
+    href="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.8.0/build/styles/default.min.css"
+  />
+    <script
+    defer
+    src="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.8.0/build/highlight.min.js"
+  ></script>
+    <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"
+  ></script>
+  <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"
+  ></script>
+  <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/dompurify@3.0.6/dist/purify.min.js"
+  ></script>
+
+  <link href="/static/general.css" rel="stylesheet" />
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&family=Roboto:wght@400;500&display=swap" rel="stylesheet">
+    <link
+    href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700,900&display=swap"
+    rel="stylesheet" />
+  <link
+    rel="stylesheet"
+    href="https://cdn.jsdelivr.net/npm/tw-elements/css/tw-elements.min.css" />
+  <script src="https://cdn.tailwindcss.com/3.3.0"></script>
+  <script>
+    tailwind.config = {
+      darkMode: "class",
+      theme: {
+        fontFamily: {
+          sans: ["Roboto", "sans-serif"],
+          body: ["Roboto", "sans-serif"],
+          mono: ["ui-monospace", "monospace"],
+        },
+      },
+      corePlugins: {
+        preflight: false,
+      },
+    };
+  </script>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.1.1/css/all.min.css">
+    <script src="https://unpkg.com/htmx.org@1.9.12" integrity="sha384-ujb1lZYygJmzgSwoxRggbCHcjc0rB2XoQrxeTUQyRjrOnlCoYta87iKBWq3EsdM2" crossorigin="anonymous"></script>
+</head>
+
+<body class="bg-gray-900 text-gray-200">
+<div class="flex flex-col min-h-screen">
+
+<nav class="bg-gray-800 shadow-lg">
+    <div class="container mx-auto px-4 py-4">
+        <div class="flex items-center justify-between">
+            <div class="flex items-center">
+                <a href="/" class="text-white text-xl font-bold"><img src="https://github.com/mudler/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
+                <a href="/" class="text-white text-xl font-bold">LocalAI</a>
+            </div>
+            <!-- Menu button for small screens -->
+            <div class="lg:hidden">
+                <button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
+                    <i class="fas fa-bars fa-lg"></i>
+                </button>
+            </div>
+            <!-- Navigation links -->
+            <div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
+                <a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
+            </div>
+        </div>
+        <!-- Collapsible menu for small screens -->
+        <div class="hidden lg:hidden" id="mobile-menu">
+            <div class="pt-4 pb-3 border-t border-gray-700">
+
+                <a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
+
+            </div>
+        </div>
+    </div>
+</nav>
+
+<style>
+  .is-hidden {
+	display: none;
+	  }
+</style>
+
+<div class="container mx-auto px-4 flex-grow">
+
+<div class="models mt-12">
+	<h2 class="text-center text-3xl font-semibold text-gray-100">
+	LocalAI model gallery list </h2><br>
+
+	<h2 class="text-center text-3xl font-semibold text-gray-100">
+
+	 🖼️ Available {{.AvailableModels}} models</i> <a href="https://localai.io/models/" target="_blank" >
+			<i class="fas fa-circle-info pr-2"></i>
+		</a></h2>
+
+	<h3>
+	Refer to the Model gallery <a href="https://localai.io/models/" target="_blank" ><i class="fas fa-circle-info pr-2"></i></a> for more information on how to use the models with LocalAI.<br>
+
+	You can install models with the CLI command <code>local-ai models install <model-name></code>. or by using the WebUI.
+	</h3>
+
+	<input class="form-control appearance-none block w-full mt-5 px-3 py-2 text-base font-normal text-gray-300 pb-2 mb-5 bg-gray-800 bg-clip-padding border border-solid border-gray-600 rounded transition ease-in-out m-0 focus:text-gray-300 focus:bg-gray-900 focus:border-blue-500 focus:outline-none" type="search"
+	id="searchbox" placeholder="Live search keyword..">
+	  <div class="dark grid grid-cols-1 grid-rows-1 md:grid-cols-3 block rounded-lg shadow-secondary-1 dark:bg-surface-dark">
+		{{ range $_, $model := .Models }}
+		<div class="box me-4 mb-2 block rounded-lg bg-white shadow-secondary-1  dark:bg-gray-800 dark:bg-surface-dark dark:text-white text-surface pb-2">
+		<div>
+		    {{ $icon := "https://upload.wikimedia.org/wikipedia/commons/6/65/No-Image-Placeholder.svg" }}
+			{{ if $model.Icon }}
+	  		{{ $icon = $model.Icon }}
+	  		{{ end }}
+			<div class="flex justify-center items-center">
+				<img data-src="{{ $icon }}" alt="{{$model.Name}}" class="rounded-t-lg max-h-48 max-w-96 object-cover mt-3 lazy">
+			</div>
+	  		<div class="p-6 text-surface dark:text-white">
+				<h5 class="mb-2 text-xl font-medium leading-tight">{{$model.Name}}</h5>
+
+
+				<p class="mb-4 text-base truncate">{{ $model.Description }}</p>
+
+			</div>
+			<div class="px-6 pt-4 pb-2">
+
+      <!-- Modal toggle -->
+      <button data-modal-target="{{ $model.Name}}-modal" data-modal-toggle="{{ $model.Name }}-modal" class="block text-white bg-blue-700 hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm px-5 py-2.5 text-center dark:bg-blue-600 dark:hover:bg-blue-700 dark:focus:ring-blue-800" type="button">
+        More info
+      </button>
+
+    <!-- Main modal -->
+    <div id="{{ $model.Name}}-modal" tabindex="-1" aria-hidden="true" class="hidden overflow-y-auto overflow-x-hidden fixed top-0 right-0 left-0 z-50 justify-center items-center w-full md:inset-0 h-[calc(100%-1rem)] max-h-full">
+        <div class="relative p-4 w-full max-w-2xl max-h-full">
+            <!-- Modal content -->
+            <div class="relative bg-white rounded-lg shadow dark:bg-gray-700">
+                <!-- Modal header -->
+                <div class="flex items-center justify-between p-4 md:p-5 border-b rounded-t dark:border-gray-600">
+                    <h3 class="text-xl font-semibold text-gray-900 dark:text-white">
+                        {{ $model.Name}}
+                    </h3>
+                    <button type="button" class="text-gray-400 bg-transparent hover:bg-gray-200 hover:text-gray-900 rounded-lg text-sm w-8 h-8 ms-auto inline-flex justify-center items-center dark:hover:bg-gray-600 dark:hover:text-white" data-modal-hide="{{$model.Name}}-modal">
+                        <svg class="w-3 h-3" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 14 14">
+                            <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m1 1 6 6m0 0 6 6M7 7l6-6M7 7l-6 6"/>
+                        </svg>
+                        <span class="sr-only">Close modal</span>
+                    </button>
+                </div>
+                <!-- Modal body -->
+                <div class="p-4 md:p-5 space-y-4">
+                    <div class="flex justify-center items-center">
+                    <img data-src="{{ $icon }}" alt="{{$model.Name}}" class="lazy rounded-t-lg max-h-48 max-w-96 object-cover mt-3">
+                  </div>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    {{ $model.Description }}
+
+                    </p>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    To install the model with the CLI, run: <br>
+                    <code> local-ai models install {{$model.Name}} </code> <br>
+
+                    <hr>
+                    See also <a href="https://localai.io/models/" target="_blank" >
+                    Installation <i class="fas fa-circle-info pr-2"></i>
+                    </a> to see how to install models with the REST API.
+                    </p>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    <ul>
+                    {{ range $_, $u := $model.URLs }}
+                    <li><a href="{{ $u }}" target=_blank><i class="fa-solid fa-link"></i> {{ $u }}</a></li>
+                    {{ end }}
+                    </ul>
+                    </p>
+                </div>
+                <!-- Modal footer -->
+                <div class="flex items-center p-4 md:p-5 border-t border-gray-200 rounded-b dark:border-gray-600">
+                    <button data-modal-hide="{{ $model.Name}}-modal" type="button" class="py-2.5 px-5 ms-3 text-sm font-medium text-gray-900 focus:outline-none bg-white rounded-lg border border-gray-200 hover:bg-gray-100 hover:text-blue-700 focus:z-10 focus:ring-4 focus:ring-gray-100 dark:focus:ring-gray-700 dark:bg-gray-800 dark:text-gray-400 dark:border-gray-600 dark:hover:text-white dark:hover:bg-gray-700">Close</button>
+                </div>
+            </div>
+        </div>
+    </div>
+
+
+			</div>
+		</div>
+		</div>
+		{{ end }}
+
+		</div>
+  </div>
+</div>
+
+<script>
+var lazyLoadInstance = new LazyLoad({
+  // Your custom settings go here
+});
+
+let cards = document.querySelectorAll('.box')
+
+function liveSearch() {
+    let search_query = document.getElementById("searchbox").value;
+
+    //Use innerText if all contents are visible
+    //Use textContent for including hidden elements
+    for (var i = 0; i < cards.length; i++) {
+        if(cards[i].textContent.toLowerCase()
+                .includes(search_query.toLowerCase())) {
+            cards[i].classList.remove("is-hidden");
+        } else {
+            cards[i].classList.add("is-hidden");
+        }
+    }
+}
+
+//A little delay
+let typingTimer;
+let typeInterval = 500;
+let searchInput = document.getElementById('searchbox');
+
+searchInput.addEventListener('keyup', () => {
+    clearTimeout(typingTimer);
+    typingTimer = setTimeout(liveSearch, typeInterval);
+});
+</script>
+
+</div>
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/flowbite/2.3.0/flowbite.min.js"></script>
+</body>
+</html>
+`
+
+type GalleryModel struct {
+	Name        string   `json:"name" yaml:"name"`
+	URLs        []string `json:"urls" yaml:"urls"`
+	Icon        string   `json:"icon" yaml:"icon"`
+	Description string   `json:"description" yaml:"description"`
+}
+
+func main() {
+	// read the YAML file which contains the models
+
+	f, err := ioutil.ReadFile(os.Args[1])
+	if err != nil {
+		fmt.Println("Error reading file:", err)
+		return
+	}
+
+	models := []*GalleryModel{}
+	err = yaml.Unmarshal(f, &models)
+	if err != nil {
+		// write to stderr
+		os.Stderr.WriteString("Error unmarshaling YAML: " + err.Error() + "\n")
+		return
+	}
+
+	// render the template
+	data := struct {
+		Models          []*GalleryModel
+		AvailableModels int
+	}{
+		Models:          models,
+		AvailableModels: len(models),
+	}
+	tmpl := template.Must(template.New("modelPage").Parse(modelPageTemplate))
+
+	err = tmpl.Execute(os.Stdout, data)
+	if err != nil {
+		fmt.Println("Error executing template:", err)
+		return
+	}
+}

.github/dependabot.yml

@@ -0,0 +1,25 @@
+# https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
+version: 2
+updates:
+  - package-ecosystem: "gomod"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "github-actions"
+    # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.)
+    directory: "/"
+    schedule:
+      # Check for updates to GitHub Actions every weekday
+      interval: "weekly"
+  - package-ecosystem: "pip"
+    # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.)
+    directory: "/"
+    schedule:
+      # Check for updates to GitHub Actions every weekday
+      interval: "weekly"
+  - package-ecosystem: "docker"
+    # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.)
+    directory: "/"
+    schedule:
+      # Check for updates to GitHub Actions every weekday
+      interval: "weekly"

.github/labeler.yml

@@ -0,0 +1,24 @@
+enhancements:
+ - head-branch: ['^feature', 'feature']
+
+kind/documentation:
+- any:
+  - changed-files:
+    - any-glob-to-any-file: 'docs/*'
+  - changed-files:
+    - any-glob-to-any-file: '*.md'
+
+area/ai-model:
+- any:
+  - changed-files:
+    - any-glob-to-any-file: 'gallery/*'
+
+examples:
+- any:
+  - changed-files:
+    - any-glob-to-any-file: 'examples/*'
+
+ci:
+- any:
+  - changed-files:
+    - any-glob-to-any-file: '.github/*'

.github/release.yml

@@ -12,13 +12,23 @@ changelog:
     - title: "Bug fixes :bug:"
       labels:
         - bug
+        - regression
     - title: Exciting New Features 🎉
       labels:
         - Semver-Minor
         - enhancement
+        - ux
+        - roadmap
+    - title: 🧠 Models
+      labels:
+        - area/ai-model
+    - title: 📖 Documentation and examples
+      labels:
+        - kind/documentation
+        - examples
     - title: 👒 Dependencies
       labels:
         - dependencies
     - title: Other Changes
       labels:
-        - "*"
+        - "*"

.github/workflows/bump_deps.yaml

@@ -49,7 +49,7 @@ jobs:
         run: |
           bash .github/bump_deps.sh ${{ matrix.repository }} ${{ matrix.branch }} ${{ matrix.variable }}
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v5
+        uses: peter-evans/create-pull-request@v6
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.github/workflows/bump_docs.yaml

@@ -17,7 +17,7 @@ jobs:
         run: |
           bash .github/bump_docs.sh ${{ matrix.repository }}
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v5
+        uses: peter-evans/create-pull-request@v6
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.github/workflows/checksum_checker.yaml

@@ -0,0 +1,47 @@
+name: Check if checksums are up-to-date
+on:
+  schedule:
+    - cron: 0 20 * * *
+  workflow_dispatch:
+jobs:
+  checksum_check:
+    runs-on: arc-runner-set
+    steps:
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
+      - uses: actions/checkout@v4
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y pip wget
+          sudo pip install --upgrade pip 
+          pip install huggingface_hub
+      - name: 'Setup yq'
+        uses: dcarbone/install-yq-action@v1.1.1
+        with:
+          version: 'v4.43.1'
+          download-compressed: true
+          force: true
+
+      - name: Checksum checker 🔧
+        run: |
+          export HF_HOME=/hf_cache
+          sudo mkdir /hf_cache
+          sudo chmod 777 /hf_cache
+          bash .github/checksum_checker.sh gallery/index.yaml
+      - name: Create Pull Request
+        uses: peter-evans/create-pull-request@v6
+        with:
+          token: ${{ secrets.UPDATE_BOT_TOKEN }}
+          push-to-fork: ci-forks/LocalAI
+          commit-message: ':arrow_up: Checksum updates in gallery/index.yaml'
+          title: 'models(gallery): :arrow_up: update checksum'
+          branch: "update/checksum"
+          body: Updating checksums in gallery/index.yaml
+          signoff: true

.github/workflows/dependabot_auto.yml

@@ -0,0 +1,43 @@
+name: Dependabot auto-merge
+on:
+- pull_request_target
+
+permissions:
+  contents: write
+  pull-requests: write
+  packages: read
+
+jobs:
+  dependabot:
+    runs-on: ubuntu-latest
+    if: ${{ github.actor == 'dependabot[bot]' }}
+    steps:
+      - name: Dependabot metadata
+        id: metadata
+        uses: dependabot/fetch-metadata@v2.1.0
+        with:
+          github-token: "${{ secrets.GITHUB_TOKEN }}"
+          skip-commit-verification: true
+
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Approve a PR if not already approved
+        run: |
+          gh pr checkout "$PR_URL"
+            if [ "$(gh pr status --json reviewDecision -q .currentBranch.reviewDecision)" != "APPROVED" ];
+          then
+            gh pr review --approve "$PR_URL"
+          else
+            echo "PR already approved.";
+          fi
+        env:
+          PR_URL: ${{github.event.pull_request.html_url}}
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
+
+      - name: Enable auto-merge for Dependabot PRs
+        if: ${{ contains(github.event.pull_request.title, 'bump')}}
+        run: gh pr merge --auto --squash "$PR_URL"
+        env:
+          PR_URL: ${{github.event.pull_request.html_url}}
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

.github/workflows/generate_grpc_cache.yaml

@@ -0,0 +1,94 @@
+name: 'generate and publish GRPC docker caches'
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - master
+
+concurrency:
+  group: grpc-cache-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate_caches:
+    strategy:
+      matrix:
+        include:
+          - grpc-base-image: ubuntu:22.04
+            runs-on: 'ubuntu-latest'
+            platforms: 'linux/amd64,linux/arm64'
+    runs-on: ${{matrix.runs-on}}
+    steps:
+      - name: Release space from worker
+        if: matrix.runs-on == 'ubuntu-latest'
+        run: |
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          df -h
+          echo
+          sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
+          sudo apt-get remove --auto-remove android-sdk-platform-tools || true
+          sudo apt-get purge --auto-remove android-sdk-platform-tools || true
+          sudo rm -rf /usr/local/lib/android
+          sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
+          sudo rm -rf /usr/share/dotnet
+          sudo apt-get remove -y '^mono-.*' || true
+          sudo apt-get remove -y '^ghc-.*' || true
+          sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
+          sudo apt-get remove -y 'php.*' || true
+          sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
+          sudo apt-get remove -y '^google-.*' || true
+          sudo apt-get remove -y azure-cli || true
+          sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
+          sudo apt-get remove -y '^gfortran-.*' || true
+          sudo apt-get remove -y microsoft-edge-stable || true
+          sudo apt-get remove -y firefox || true
+          sudo apt-get remove -y powershell || true
+          sudo apt-get remove -y r-base-core || true
+          sudo apt-get autoremove -y
+          sudo apt-get clean
+          echo
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          sudo rm -rfv build || true
+          sudo rm -rf /usr/share/dotnet || true
+          sudo rm -rf /opt/ghc || true
+          sudo rm -rf "/usr/local/share/boost" || true
+          sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
+          df -h
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@master
+        with:
+          platforms: all
+
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@master
+
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Cache GRPC
+        uses: docker/build-push-action@v5
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          build-args: |
+            GRPC_BASE_IMAGE=${{ matrix.grpc-base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.64.0
+          context: .
+          file: ./Dockerfile
+          cache-to: type=gha,ignore-error=true
+          cache-from: type=gha
+          target: grpc
+          platforms: ${{ matrix.platforms }}
+          push: false

.github/workflows/generate_intel_image.yaml

@@ -0,0 +1,59 @@
+name: 'generate and publish intel docker caches'
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - master
+
+concurrency:
+  group: intel-cache-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate_caches:
+    strategy:
+      matrix:
+        include:
+          - base-image: intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04
+            runs-on: 'ubuntu-latest'
+            platforms: 'linux/amd64'
+    runs-on: ${{matrix.runs-on}}
+    steps:
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@master
+        with:
+          platforms: all
+      - name: Login to DockerHub
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_PASSWORD }}
+
+      - name: Login to quay
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v3
+        with:
+          registry: quay.io
+          username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+          password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@master
+
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Cache Intel images
+        uses: docker/build-push-action@v5
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          build-args: |
+            BASE_IMAGE=${{ matrix.base-image }}
+          context: .
+          file: ./Dockerfile
+          tags: quay.io/go-skynet/intel-oneapi-base:latest
+          push: true
+          target: intel
+          platforms: ${{ matrix.platforms }}

.github/workflows/image-pr.yml

@@ -22,6 +22,8 @@ jobs:
       platforms: ${{ matrix.platforms }}
       runs-on: ${{ matrix.runs-on }}
       base-image: ${{ matrix.base-image }}
+      grpc-base-image: ${{ matrix.grpc-base-image }}
+      makeflags: ${{ matrix.makeflags }}
     secrets:
       dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
       dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
@@ -30,7 +32,7 @@ jobs:
     strategy:
       # Pushing with all jobs in parallel
       # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
+      max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
       matrix:
         include:
           - build-type: ''
@@ -41,9 +43,10 @@ jobs:
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -51,6 +54,27 @@ jobs:
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas'
+            ffmpeg: 'false'
+            image-type: 'extras'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f16'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: 'sycl-f16-ffmpeg'
+            ffmpeg: 'true'
+            image-type: 'extras'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
   core-image-build:
     uses: ./.github/workflows/image_build.yml
     with:
@@ -64,6 +88,8 @@ jobs:
       platforms: ${{ matrix.platforms }}
       runs-on: ${{ matrix.runs-on }}
       base-image: ${{ matrix.base-image }}
+      grpc-base-image: ${{ matrix.grpc-base-image }}
+      makeflags: ${{ matrix.makeflags }}
     secrets:
       dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
       dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
@@ -80,17 +106,20 @@ jobs:
             image-type: 'core'
             runs-on: 'ubuntu-latest'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'sycl_f16'
             platforms: 'linux/amd64'
             tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
             tag-suffix: 'sycl-f16-ffmpeg-core'
             ffmpeg: 'true'
             image-type: 'core'
             runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-ffmpeg-core'
@@ -98,3 +127,13 @@ jobs:
             image-type: 'core'
             runs-on: 'ubuntu-latest'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
+          - build-type: 'vulkan'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-vulkan-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"

.github/workflows/image.yml

@@ -13,7 +13,7 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  extras-image-build:
+  self-hosted-jobs:
     uses: ./.github/workflows/image_build.yml
     with:
       tag-latest: ${{ matrix.tag-latest }}
@@ -26,6 +26,11 @@ jobs:
       platforms: ${{ matrix.platforms }}
       runs-on: ${{ matrix.runs-on }}
       base-image: ${{ matrix.base-image }}
+      grpc-base-image: ${{ matrix.grpc-base-image }}
+      aio: ${{ matrix.aio }}
+      makeflags: ${{ matrix.makeflags }}
+      latest-image: ${{ matrix.latest-image }}
+      latest-image-aio: ${{ matrix.latest-image-aio }}
     secrets:
       dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
       dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
@@ -34,9 +39,10 @@ jobs:
     strategy:
       # Pushing with all jobs in parallel
       # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
+      max-parallel: ${{ github.event_name != 'pull_request' && 6 || 10 }}
       matrix:
         include:
+          # Extra images
           - build-type: ''
             #platforms: 'linux/amd64,linux/arm64'
             platforms: 'linux/amd64'
@@ -46,17 +52,19 @@ jobs:
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: ''
             platforms: 'linux/amd64'
-            tag-latest: 'false'
+            tag-latest: 'auto'
             tag-suffix: '-ffmpeg'
             ffmpeg: 'true'
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda11'
@@ -64,9 +72,10 @@ jobs:
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12'
@@ -74,26 +83,35 @@ jobs:
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
             platforms: 'linux/amd64'
-            tag-latest: 'false'
+            tag-latest: 'auto'
             tag-suffix: '-cublas-cuda11-ffmpeg'
             ffmpeg: 'true'
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            aio: "-aio-gpu-nvidia-cuda-11"
+            latest-image: 'latest-gpu-nvidia-cuda-11'
+            latest-image-aio: 'latest-aio-gpu-nvidia-cuda-11'
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
-            tag-latest: 'false'
+            tag-latest: 'auto'
             tag-suffix: '-cublas-cuda12-ffmpeg'
             ffmpeg: 'true'
             image-type: 'extras'
             runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            aio: "-aio-gpu-nvidia-cuda-12"
+            latest-image: 'latest-gpu-nvidia-cuda-12'
+            latest-image-aio: 'latest-aio-gpu-nvidia-cuda-12'
+            makeflags: "--jobs=3 --output-sync=target"
           - build-type: ''
             #platforms: 'linux/amd64,linux/arm64'
             platforms: 'linux/amd64'
@@ -103,6 +121,118 @@ jobs:
             image-type: 'extras'
             base-image: "ubuntu:22.04"
             runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-hipblas-ffmpeg'
+            ffmpeg: 'true'
+            image-type: 'extras'
+            aio: "-aio-gpu-hipblas"
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            latest-image: 'latest-gpu-hipblas'
+            latest-image-aio: 'latest-aio-gpu-hipblas'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas'
+            ffmpeg: 'false'
+            image-type: 'extras'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f16'
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f16-ffmpeg'
+            ffmpeg: 'true'
+            image-type: 'extras'
+            runs-on: 'arc-runner-set'
+            aio: "-aio-gpu-intel-f16"
+            latest-image: 'latest-gpu-intel-f16'
+            latest-image-aio: 'latest-aio-gpu-intel-f16'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f32'
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f32-ffmpeg'
+            ffmpeg: 'true'
+            image-type: 'extras'
+            runs-on: 'arc-runner-set'
+            aio: "-aio-gpu-intel-f32"
+            latest-image: 'latest-gpu-intel-f32'
+            latest-image-aio: 'latest-aio-gpu-intel-f32'
+            makeflags: "--jobs=3 --output-sync=target"
+          # Core images
+          - build-type: 'sycl_f16'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f16-core'
+            ffmpeg: 'false'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f32'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f32-core'
+            ffmpeg: 'false'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f16'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f16-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'sycl_f32'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
+            grpc-base-image: "ubuntu:22.04"
+            tag-suffix: '-sycl-f32-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas-core'
+            ffmpeg: 'false'
+            image-type: 'core'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+
   core-image-build:
     uses: ./.github/workflows/image_build.yml
     with:
@@ -115,92 +245,84 @@ jobs:
       cuda-minor-version: ${{ matrix.cuda-minor-version }}
       platforms: ${{ matrix.platforms }}
       runs-on: ${{ matrix.runs-on }}
+      aio: ${{ matrix.aio }}
       base-image: ${{ matrix.base-image }}
+      grpc-base-image: ${{ matrix.grpc-base-image }}
+      makeflags: ${{ matrix.makeflags }}
+      latest-image: ${{ matrix.latest-image }}
+      latest-image-aio: ${{ matrix.latest-image-aio }}
     secrets:
       dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
       dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
       quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
       quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
     strategy:
+      max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
       matrix:
         include:
           - build-type: ''
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
             tag-suffix: '-ffmpeg-core'
             ffmpeg: 'true'
             image-type: 'core'
             base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
-          - build-type: 'sycl_f16'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04"
-            tag-suffix: '-sycl-f16-core'
-            ffmpeg: 'false'
-            image-type: 'core'
-            runs-on: 'arc-runner-set'
-          - build-type: 'sycl_f32'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04"
-            tag-suffix: '-sycl-f32-core'
-            ffmpeg: 'false'
-            image-type: 'core'
-            runs-on: 'arc-runner-set'
-          - build-type: 'sycl_f16'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04"
-            tag-suffix: '-sycl-f16-ffmpeg-core'
-            ffmpeg: 'true'
-            image-type: 'core'
-            runs-on: 'arc-runner-set'
-          - build-type: 'sycl_f32'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04"
-            tag-suffix: '-sycl-f32-ffmpeg-core'
-            ffmpeg: 'true'
-            image-type: 'core'
             runs-on: 'arc-runner-set'
+            aio: "-aio-cpu"
+            latest-image: 'latest-cpu'
+            latest-image-aio: 'latest-aio-cpu'
+            makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda11-core'
             ffmpeg: ''
             image-type: 'core'
             base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-core'
             ffmpeg: ''
             image-type: 'core'
             base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda11-ffmpeg-core'
             ffmpeg: 'true'
             image-type: 'core'
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-ffmpeg-core'
             ffmpeg: 'true'
             image-type: 'core'
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
             base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
+          - build-type: 'vulkan'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-vulkan-ffmpeg-core'
+            latest-image: 'latest-vulkan-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"

.github/workflows/image_build.yml

@@ -6,6 +6,10 @@ on:
     inputs:
       base-image:
         description: 'Base image'
+        required: true
+        type: string
+      grpc-base-image:
+        description: 'GRPC Base image, must be a compatible image with base-image'
         required: false
         default: ''
         type: string
@@ -15,11 +19,11 @@ on:
         type: string
       cuda-major-version:
         description: 'CUDA major version'
-        default: "11"
+        default: "12"
         type: string
       cuda-minor-version:
         description: 'CUDA minor version'
-        default: "7"
+        default: "5"
         type: string
       platforms:
         description: 'Platforms'
@@ -29,6 +33,14 @@ on:
         description: 'Tag latest'
         default: ''
         type: string
+      latest-image:
+          description: 'Tag latest'
+          default: ''
+          type: string
+      latest-image-aio:
+          description: 'Tag latest'
+          default: ''
+          type: string
       tag-suffix:
         description: 'Tag suffix'
         default: ''
@@ -46,6 +58,16 @@ on:
         required: true
         default: ''
         type: string
+      makeflags:
+        description: 'Make Flags'
+        required: false
+        default: '--jobs=4 --output-sync=target'
+        type: string
+      aio:
+        description: 'AIO Image Name'
+        required: false
+        default: ''
+        type: string
     secrets:
       dockerUsername:
         required: true
@@ -69,6 +91,7 @@ jobs:
           && sudo apt-get install -y git
       - name: Checkout
         uses: actions/checkout@v4
+
       - name: Release space from worker
         if: inputs.runs-on == 'ubuntu-latest'
         run: |
@@ -110,8 +133,10 @@ jobs:
           sudo rm -rf "/usr/local/share/boost" || true
           sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
           df -h
+
       - name: Docker meta
         id: meta
+        if: github.event_name != 'pull_request'
         uses: docker/metadata-action@v5
         with:
           images: |
@@ -124,6 +149,46 @@ jobs:
           flavor: |
             latest=${{ inputs.tag-latest }}
             suffix=${{ inputs.tag-suffix }}
+      - name: Docker meta for PR
+        id: meta_pull_request
+        if: github.event_name == 'pull_request'
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            ttl.sh/localai-ci-pr-${{ github.event.number }}
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=${{ inputs.tag-latest }}
+            suffix=${{ inputs.tag-suffix }}
+      - name: Docker meta AIO (quay.io)
+        if: inputs.aio != ''
+        id: meta_aio
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            quay.io/go-skynet/local-ai
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+          flavor: |
+            latest=${{ inputs.tag-latest }}
+            suffix=${{ inputs.aio }}
+
+      - name: Docker meta AIO (dockerhub)
+        if: inputs.aio != ''
+        id: meta_aio_dockerhub
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            localai/localai
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+          flavor: |
+            suffix=${{ inputs.aio }}
 
       - name: Set up QEMU
         uses: docker/setup-qemu-action@master
@@ -151,8 +216,13 @@ jobs:
 
       - name: Build and push
         uses: docker/build-push-action@v5
+        if: github.event_name != 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          # This is why some build args like GRPC_VERSION and MAKEFLAGS are hardcoded
           build-args: |
             BUILD_TYPE=${{ inputs.build-type }}
             CUDA_MAJOR_VERSION=${{ inputs.cuda-major-version }}
@@ -160,12 +230,106 @@ jobs:
             FFMPEG=${{ inputs.ffmpeg }}
             IMAGE_TYPE=${{ inputs.image-type }}
             BASE_IMAGE=${{ inputs.base-image }}
+            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.64.0
+            MAKEFLAGS=${{ inputs.makeflags }}
           context: .
           file: ./Dockerfile
+          cache-from: type=gha
           platforms: ${{ inputs.platforms }}
           push: ${{ github.event_name != 'pull_request' }}
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
+### Start testing image
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        if: github.event_name == 'pull_request'
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          # This is why some build args like GRPC_VERSION and MAKEFLAGS are hardcoded
+          build-args: |
+            BUILD_TYPE=${{ inputs.build-type }}
+            CUDA_MAJOR_VERSION=${{ inputs.cuda-major-version }}
+            CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
+            FFMPEG=${{ inputs.ffmpeg }}
+            IMAGE_TYPE=${{ inputs.image-type }}
+            BASE_IMAGE=${{ inputs.base-image }}
+            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.64.0
+            MAKEFLAGS=${{ inputs.makeflags }}
+          context: .
+          file: ./Dockerfile
+          cache-from: type=gha
+          platforms: ${{ inputs.platforms }}
+          push: true
+          tags: ${{ steps.meta_pull_request.outputs.tags }}
+          labels: ${{ steps.meta_pull_request.outputs.labels }}
+      - name: Testing image
+        if: github.event_name == 'pull_request'
+        run: |
+          echo "Image is available at ttl.sh/localai-ci-pr-${{ github.event.number }}:${{ steps.meta_pull_request.outputs.version }}" >> $GITHUB_STEP_SUMMARY
+## End testing image
+      - name: Build and push AIO image
+        if: inputs.aio != ''
+        uses: docker/build-push-action@v5
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          build-args: |
+            BASE_IMAGE=quay.io/go-skynet/local-ai:${{ steps.meta.outputs.version }}
+            MAKEFLAGS=${{ inputs.makeflags }}
+          context: .
+          file: ./Dockerfile.aio
+          platforms: ${{ inputs.platforms }}
+          push: ${{ github.event_name != 'pull_request' }}
+          tags: ${{ steps.meta_aio.outputs.tags }}
+          labels: ${{ steps.meta_aio.outputs.labels }}
+
+      - name: Build and push AIO image (dockerhub)
+        if: inputs.aio != ''
+        uses: docker/build-push-action@v5
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          build-args: |
+            BASE_IMAGE=localai/localai:${{ steps.meta.outputs.version }}
+            MAKEFLAGS=${{ inputs.makeflags }}
+          context: .
+          file: ./Dockerfile.aio
+          platforms: ${{ inputs.platforms }}
+          push: ${{ github.event_name != 'pull_request' }}
+          tags: ${{ steps.meta_aio_dockerhub.outputs.tags }}
+          labels: ${{ steps.meta_aio_dockerhub.outputs.labels }}
+
+      - name: Latest tag
+        # run this on branches, when it is a tag and there is a latest-image defined
+        if: github.event_name != 'pull_request' && inputs.latest-image != ''  && github.ref_type == 'tag'
+        run: |
+          docker pull localai/localai:${{ steps.meta.outputs.version }}
+          docker tag localai/localai:${{ steps.meta.outputs.version }} localai/localai:${{ inputs.latest-image }}
+          docker push localai/localai:${{ inputs.latest-image }}
+          docker pull quay.io/go-skynet/local-ai:${{ steps.meta.outputs.version }}
+          docker tag quay.io/go-skynet/local-ai:${{ steps.meta.outputs.version }} quay.io/go-skynet/local-ai:${{ inputs.latest-image }}
+          docker push quay.io/go-skynet/local-ai:${{ inputs.latest-image }}
+      - name: Latest AIO tag
+        # run this on branches, when it is a tag and there is a latest-image defined
+        if: github.event_name != 'pull_request' && inputs.latest-image-aio != ''  && github.ref_type == 'tag'
+        run: |
+          docker pull localai/localai:${{ steps.meta_aio_dockerhub.outputs.version }}
+          docker tag localai/localai:${{ steps.meta_aio_dockerhub.outputs.version }} localai/localai:${{ inputs.latest-image-aio }}
+          docker push localai/localai:${{ inputs.latest-image-aio }}
+          docker pull quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }}
+          docker tag quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }} quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
+          docker push quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
+
       - name: job summary
         run: |
           echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY
+
+      - name: job summary(AIO)
+        if: inputs.aio != ''
+        run: |
+          echo "Built image: ${{ steps.meta_aio.outputs.labels }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/labeler.yml

@@ -0,0 +1,12 @@
+name: "Pull Request Labeler"
+on:
+- pull_request_target
+
+jobs:
+  labeler:
+    permissions:
+      contents: read
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/labeler@v5

.github/workflows/localaibot_automerge.yml

@@ -0,0 +1,35 @@
+name: LocalAI-bot auto-merge
+on:
+- pull_request_target
+
+permissions:
+  contents: write
+  pull-requests: write
+  packages: read
+
+jobs:
+  dependabot:
+    runs-on: ubuntu-latest
+    if: ${{ github.actor == 'localai-bot' }}
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Approve a PR if not already approved
+        run: |
+          gh pr checkout "$PR_URL"
+            if [ "$(gh pr status --json reviewDecision -q .currentBranch.reviewDecision)" != "APPROVED" ];
+          then
+            gh pr review --approve "$PR_URL"
+          else
+            echo "PR already approved.";
+          fi
+        env:
+          PR_URL: ${{github.event.pull_request.html_url}}
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
+
+      - name: Enable auto-merge for LocalAIBot PRs
+        run: gh pr merge --auto --squash "$PR_URL"
+        env:
+          PR_URL: ${{github.event.pull_request.html_url}}
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

.github/workflows/release.yaml

@@ -1,6 +1,11 @@
 name: Build and Release
 
-on: push
+on:
+- push
+- pull_request
+
+env:
+  GRPC_VERSION: v1.64.0
 
 permissions:
   contents: write
@@ -10,123 +15,298 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  build-linux:
-    strategy:
-      matrix:
-        include:
-          - build: 'avx2'
-            defines: ''
-          - build: 'avx'
-            defines: '-DLLAMA_AVX2=OFF'
-          - build: 'avx512'
-            defines: '-DLLAMA_AVX512=ON'
-          - build: 'cuda12'
-            defines: ''
-          - build: 'cuda11'
-            defines: ''
+
+  build-linux-arm:
     runs-on: ubuntu-latest
     steps:
       - name: Clone
         uses: actions/checkout@v4
         with:
           submodules: true
-      - uses: actions/setup-go@v4
+      - uses: actions/setup-go@v5
         with:
-          go-version: '>=1.21.0'
+          go-version: '1.21.x'
+          cache: false
+
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
+          sudo apt-get install build-essential ffmpeg protobuf-compiler ccache
+          sudo apt-get install -qy binutils-aarch64-linux-gnu gcc-aarch64-linux-gnu g++-aarch64-linux-gnu
       - name: Install CUDA Dependencies
-        if: ${{ matrix.build == 'cuda12' || matrix.build == 'cuda11' }}
         run: |
-          if [ "${{ matrix.build }}" == "cuda12" ]; then
-            export CUDA_VERSION=12-3
-          else
-            export CUDA_VERSION=11-7
-          fi
-          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/cross-linux-aarch64/cuda-keyring_1.1-1_all.deb
           sudo dpkg -i cuda-keyring_1.1-1_all.deb
           sudo apt-get update
-          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
+          sudo apt-get install -y cuda-cross-aarch64 cuda-nvcc-cross-aarch64-${CUDA_VERSION} libcublas-cross-aarch64-${CUDA_VERSION}
+        env:
+          CUDA_VERSION: 12-5
       - name: Cache grpc
         id: cache-grpc
-        uses: actions/cache@v3
+        uses: actions/cache@v4
         with:
           path: grpc
-          key: ${{ runner.os }}-grpc
+          key: ${{ runner.os }}-arm-grpc-${{ env.GRPC_VERSION }}
       - name: Build grpc
         if: steps.cache-grpc.outputs.cache-hit != 'true'
         run: |
-          git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+
+          git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
           cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
             -DgRPC_BUILD_TESTS=OFF \
-            ../.. && sudo make -j12
+            ../.. && sudo make --jobs 5 --output-sync=target
       - name: Install gRPC
         run: |
-          cd grpc && cd cmake/build && sudo make -j12 install
+          GNU_HOST=aarch64-linux-gnu
+          C_COMPILER_ARM_LINUX=$GNU_HOST-gcc
+          CXX_COMPILER_ARM_LINUX=$GNU_HOST-g++
+
+          CROSS_TOOLCHAIN=/usr/$GNU_HOST
+          CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
+          CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
+
+          # https://cmake.org/cmake/help/v3.13/manual/cmake-toolchains.7.html#cross-compiling-for-linux
+          echo "set(CMAKE_SYSTEM_NAME Linux)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_SYSTEM_PROCESSOR arm)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_STAGING_PREFIX $CROSS_STAGING_PREFIX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_SYSROOT ${CROSS_TOOLCHAIN}/sysroot)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_C_COMPILER /usr/bin/$C_COMPILER_ARM_LINUX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_CXX_COMPILER /usr/bin/$CXX_COMPILER_ARM_LINUX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_PACKAGE ONLY)" >> $CMAKE_CROSS_TOOLCHAIN
+          GRPC_DIR=$PWD/grpc
+          cd grpc && cd cmake/build && sudo make --jobs 5 --output-sync=target install && \
+          GRPC_CROSS_BUILD_DIR=$GRPC_DIR/cmake/cross_build && \
+          mkdir -p $GRPC_CROSS_BUILD_DIR && \
+          cd $GRPC_CROSS_BUILD_DIR && \
+          cmake -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DCMAKE_INSTALL_PREFIX=$CROSS_TOOLCHAIN/grpc_install \
+            ../.. && \
+          sudo make -j`nproc` install
       - name: Build
         id: build
-        env:
-          CMAKE_ARGS: "${{ matrix.defines }}"
-          BUILD_ID: "${{ matrix.build }}"
         run: |
-          if [ "${{ matrix.build }}" == "cuda12" ] || [ "${{ matrix.build }}" == "cuda11" ]; then
-            export BUILD_TYPE=cublas
-            export PATH=/usr/local/cuda/bin:$PATH
-            make dist
-          else
-            STATIC=true make dist
-          fi
-      - uses: actions/upload-artifact@v3
+          GNU_HOST=aarch64-linux-gnu
+          C_COMPILER_ARM_LINUX=$GNU_HOST-gcc
+          CXX_COMPILER_ARM_LINUX=$GNU_HOST-g++
+
+          CROSS_TOOLCHAIN=/usr/$GNU_HOST
+          CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
+          CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+          export PATH=$PATH:$GOPATH/bin
+          export PATH=/usr/local/cuda/bin:$PATH
+          sudo rm -rf /usr/aarch64-linux-gnu/lib/libstdc++.so.6
+          sudo cp -rf /usr/aarch64-linux-gnu/lib/libstdc++.so* /usr/aarch64-linux-gnu/lib/libstdc++.so.6
+          sudo cp /usr/aarch64-linux-gnu/lib/ld-linux-aarch64.so.1 ld.so
+          GO_TAGS=p2p \
+          BACKEND_LIBS="./grpc/cmake/cross_build/third_party/re2/libre2.a ./grpc/cmake/cross_build/libgrpc.a ./grpc/cmake/cross_build/libgrpc++.a ./grpc/cmake/cross_build/third_party/protobuf/libprotobuf.a /usr/aarch64-linux-gnu/lib/libc.so.6 /usr/aarch64-linux-gnu/lib/libstdc++.so.6 /usr/aarch64-linux-gnu/lib/libgomp.so.1 /usr/aarch64-linux-gnu/lib/libm.so.6 /usr/aarch64-linux-gnu/lib/libgcc_s.so.1 /usr/aarch64-linux-gnu/lib/libdl.so.2 /usr/aarch64-linux-gnu/lib/libpthread.so.0 ./ld.so" \
+          GOOS=linux \
+          GOARCH=arm64 \
+          CMAKE_ARGS="-DProtobuf_INCLUDE_DIRS=$CROSS_STAGING_PREFIX/include -DProtobuf_DIR=$CROSS_STAGING_PREFIX/lib/cmake/protobuf -DgRPC_DIR=$CROSS_STAGING_PREFIX/lib/cmake/grpc -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++" make dist-cross-linux-arm64
+      - uses: actions/upload-artifact@v4
         with:
-          name: ${{ matrix.build }}
+          name: LocalAI-linux-arm64
           path: release/
       - name: Release
-        uses: softprops/action-gh-release@v1
+        uses: softprops/action-gh-release@v2
         if: startsWith(github.ref, 'refs/tags/')
         with:
           files: |
             release/*
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
+  build-linux:
+    runs-on: arc-runner-set
+    steps:
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          submodules: true
+      - uses: actions/setup-go@v5
+        with:
+          go-version: '1.21.x'
+          cache: false
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache cmake
+      - name: Intel Dependencies
+        run: |
+          wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
+          echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
+          sudo apt update
+          sudo apt install -y intel-basekit
+      - name: Install CUDA Dependencies
+        run: |
+          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+          sudo dpkg -i cuda-keyring_1.1-1_all.deb
+          sudo apt-get update
+          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
+        env:
+          CUDA_VERSION: 12-3
+      - name: "Install Hipblas"
+        env:
+          ROCM_VERSION: "6.1"
+          AMDGPU_VERSION: "6.1"
+        run: |
+            set -ex
 
-  build-macOS:
-    strategy:
-      matrix:
-        include:
-          - build: 'avx2'
-            defines: ''
-          - build: 'avx'
-            defines: '-DLLAMA_AVX2=OFF'
-          - build: 'avx512'
-            defines: '-DLLAMA_AVX512=ON'
-    runs-on: macOS-latest
+            sudo apt-get update
+            sudo DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates curl libnuma-dev gnupg
+
+            curl -sL https://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add -
+
+            printf "deb [arch=amd64] https://repo.radeon.com/rocm/apt/$ROCM_VERSION/ jammy main" | sudo tee /etc/apt/sources.list.d/rocm.list
+
+            printf "deb [arch=amd64] https://repo.radeon.com/amdgpu/$AMDGPU_VERSION/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
+            printf 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
+            sudo apt-get update
+
+            sudo DEBIAN_FRONTEND=noninteractive apt-get install -y \
+                hipblas-dev rocm-dev \
+                rocblas-dev
+
+            sudo apt-get clean
+            sudo rm -rf /var/lib/apt/lists/*
+            sudo ldconfig
+      - name: Cache grpc
+        id: cache-grpc
+        uses: actions/cache@v4
+        with:
+          path: grpc
+          key: ${{ runner.os }}-grpc-${{ env.GRPC_VERSION }}
+      - name: Build grpc
+        if: steps.cache-grpc.outputs.cache-hit != 'true'
+        run: |
+          git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+          cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
+            -DgRPC_BUILD_TESTS=OFF \
+            ../.. && sudo make --jobs 5 --output-sync=target
+      - name: Install gRPC
+        run: |
+          cd grpc && cd cmake/build && sudo make --jobs 5 --output-sync=target install
+      # BACKEND_LIBS needed for gpu-workload: /opt/intel/oneapi/*/lib/libiomp5.so /opt/intel/oneapi/*/lib/libmkl_core.so /opt/intel/oneapi/*/lib/libmkl_core.so.2 /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so.2 /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so.4 /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so.2 /opt/intel/oneapi/*/lib/libsycl.so /opt/intel/oneapi/*/lib/libsycl.so.7 /opt/intel/oneapi/*/lib/libsycl.so.7.1.0 /opt/rocm-*/lib/libamdhip64.so /opt/rocm-*/lib/libamdhip64.so.5 /opt/rocm-*/lib/libamdhip64.so.6 /opt/rocm-*/lib/libamdhip64.so.6.1.60100 /opt/rocm-*/lib/libhipblas.so /opt/rocm-*/lib/libhipblas.so.2 /opt/rocm-*/lib/libhipblas.so.2.1.60100 /opt/rocm-*/lib/librocblas.so /opt/rocm-*/lib/librocblas.so.4 /opt/rocm-*/lib/librocblas.so.4.1.60100 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/librt.so.1 /usr/local/cuda-*/targets/x86_64-linux/lib/libcublas.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcublasLt.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcudart.so /usr/local/cuda-*/targets/x86_64-linux/lib/stubs/libcuda.so
+      - name: Build
+        id: build
+        run: |
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+          export PATH=$PATH:$GOPATH/bin
+          export PATH=/usr/local/cuda/bin:$PATH
+          export PATH=/opt/rocm/bin:$PATH
+          source /opt/intel/oneapi/setvars.sh
+          sudo cp /lib64/ld-linux-x86-64.so.2 ld.so
+          GO_TAGS=p2p \
+          BACKEND_LIBS="./ld.so /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/libgomp.so.1" \
+          make -j4 dist
+      - uses: actions/upload-artifact@v4
+        with:
+          name: LocalAI-linux
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v2
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
+  build-stablediffusion:
+    runs-on: ubuntu-latest
     steps:
       - name: Clone
         uses: actions/checkout@v4
         with:
           submodules: true
-      - uses: actions/setup-go@v4
+      - uses: actions/setup-go@v5
         with:
-          go-version: '>=1.21.0'
+          go-version: '1.21.x'
+          cache: false
       - name: Dependencies
         run: |
-          brew install protobuf grpc
-      - name: Build
-        id: build
-        env:
-          CMAKE_ARGS: "${{ matrix.defines }}"
-          BUILD_ID: "${{ matrix.build }}"
+          sudo apt-get update
+          sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler ccache
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+      - name: Build stablediffusion
         run: |
-          export C_INCLUDE_PATH=/usr/local/include
-          export CPLUS_INCLUDE_PATH=/usr/local/include
-          make dist
-      - uses: actions/upload-artifact@v3
+          export PATH=$PATH:$GOPATH/bin
+          make backend-assets/grpc/stablediffusion
+          mkdir -p release && cp backend-assets/grpc/stablediffusion release
+        env:
+          GO_TAGS: stablediffusion
+      - uses: actions/upload-artifact@v4
         with:
-          name: ${{ matrix.build }}
+          name: stablediffusion
           path: release/
       - name: Release
-        uses: softprops/action-gh-release@v1
+        uses: softprops/action-gh-release@v2
         if: startsWith(github.ref, 'refs/tags/')
         with:
           files: |
             release/*
+
+  build-macOS-arm64:
+    runs-on: macos-14
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          submodules: true
+      - uses: actions/setup-go@v5
+        with:
+          go-version: '1.21.x'
+          cache: false
+      - name: Dependencies
+        run: |
+          brew install protobuf grpc
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+      - name: Build
+        id: build
+        run: |
+          export C_INCLUDE_PATH=/usr/local/include
+          export CPLUS_INCLUDE_PATH=/usr/local/include
+          export PATH=$PATH:$GOPATH/bin
+
+          BACKEND_LIBS="$(ls /opt/homebrew/opt/grpc/lib/*.dylib /opt/homebrew/opt/re2/lib/*.dylib /opt/homebrew/opt/openssl@3/lib/*.dylib /opt/homebrew/opt/protobuf/lib/*.dylib /opt/homebrew/opt/abseil/lib/*.dylib | xargs)" GO_TAGS=p2p make dist
+      - uses: actions/upload-artifact@v4
+        with:
+          name: LocalAI-MacOS-arm64
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v2
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true

.github/workflows/secscan.yaml

@@ -0,0 +1,30 @@
+name: "Security Scan"
+
+# Run workflow each time code is pushed to your repository and on a schedule.
+# The scheduled workflow runs every at 00:00 on Sunday UTC time.
+on:
+  push:
+  schedule:
+  - cron: '0 0 * * 0'
+
+jobs:
+  tests:
+    runs-on: ubuntu-latest
+    env:
+      GO111MODULE: on
+    steps:
+      - name: Checkout Source
+        uses: actions/checkout@v4
+        if: ${{ github.actor != 'dependabot[bot]' }}
+      - name: Run Gosec Security Scanner
+        if: ${{ github.actor != 'dependabot[bot]' }}
+        uses: securego/gosec@master
+        with:
+          # we let the report trigger content trigger a failure using the GitHub Security features.
+          args: '-no-fail -fmt sarif -out results.sarif ./...'
+      - name: Upload SARIF file
+        if: ${{ github.actor != 'dependabot[bot]' }}
+        uses: github/codeql-action/upload-sarif@v3
+        with:
+          # Path to SARIF file relative to the root of the repository
+          sarif_file: results.sarif

.github/workflows/test-extra.yml

@@ -25,23 +25,16 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
           
-          sudo rm -rfv /usr/bin/conda || true
-
       - name: Test transformers
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/transformers
-           make -C backend/python/transformers test
+           make --jobs=5 --output-sync=target -C backend/python/transformers
+           make --jobs=5 --output-sync=target -C backend/python/transformers test
 
   tests-sentencetransformers:
     runs-on: ubuntu-latest
@@ -54,23 +47,39 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
           
-          sudo rm -rfv /usr/bin/conda || true
-
       - name: Test sentencetransformers
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/sentencetransformers
-           make -C backend/python/sentencetransformers test
+           make --jobs=5 --output-sync=target -C backend/python/sentencetransformers
+           make --jobs=5 --output-sync=target -C backend/python/sentencetransformers test
+
+
+  tests-rerankers:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with: 
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
+
+      - name: Test rerankers
+        run: |
+           make --jobs=5 --output-sync=target -C backend/python/rerankers
+           make --jobs=5 --output-sync=target -C backend/python/rerankers test
 
   tests-diffusers:
     runs-on: ubuntu-latest
@@ -82,25 +91,60 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-          
-          sudo rm -rfv /usr/bin/conda || true
-
+          sudo apt-get install -y build-essential ffmpeg
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user grpcio-tools==1.64.0
       - name: Test diffusers
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/diffusers
-           make -C backend/python/diffusers test
+          make --jobs=5 --output-sync=target -C backend/python/diffusers
+          make --jobs=5 --output-sync=target -C backend/python/diffusers test
 
+  tests-parler-tts:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with: 
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
+
+      - name: Test parler-tts
+        run: |
+           make --jobs=5 --output-sync=target -C backend/python/parler-tts
+           make --jobs=5 --output-sync=target -C backend/python/parler-tts test
+  
+  tests-openvoice:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with: 
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
+
+      - name: Test openvoice
+        run: |
+           make --jobs=5 --output-sync=target -C backend/python/openvoice
+           make --jobs=5 --output-sync=target -C backend/python/openvoice test
 
   tests-transformers-musicgen:
     runs-on: ubuntu-latest
@@ -113,54 +157,40 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-          
-          sudo rm -rfv /usr/bin/conda || true
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
 
       - name: Test transformers-musicgen
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/transformers-musicgen
-           make -C backend/python/transformers-musicgen test
+           make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen
+           make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen test
 
 
 
-  tests-petals:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Clone
-        uses: actions/checkout@v4
-        with: 
-          submodules: true
-      - name: Dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-          
-          sudo rm -rfv /usr/bin/conda || true
+  # tests-petals:
+  #   runs-on: ubuntu-latest
+  #   steps:
+  #     - name: Clone
+  #       uses: actions/checkout@v4
+  #       with: 
+  #         submodules: true
+  #     - name: Dependencies
+  #       run: |
+  #         sudo apt-get update
+  #         sudo apt-get install build-essential ffmpeg
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
+  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+  #         sudo apt-get install -y libopencv-dev
+  #         pip install --user grpcio-tools==1.64.0
 
-      - name: Test petals
-        run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/petals
-           make -C backend/python/petals test
+  #     - name: Test petals
+  #       run: |
+  #          make --jobs=5 --output-sync=target -C backend/python/petals
+  #          make --jobs=5 --output-sync=target -C backend/python/petals test
 
            
 
@@ -215,23 +245,16 @@ jobs:
   #       run: |
   #         sudo apt-get update
   #         sudo apt-get install build-essential ffmpeg
-  #         curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-  #            sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-  #             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-  #            sudo apt-get update && \
-  #            sudo apt-get install -y conda
-  #         sudo apt-get install -y ca-certificates cmake curl patch
-  #         sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-          
-  #         sudo rm -rfv /usr/bin/conda || true
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
+  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+  #         sudo apt-get install -y libopencv-dev
+  #         pip install --user grpcio-tools==1.64.0
 
   #     - name: Test bark
   #       run: |
-  #          export PATH=$PATH:/opt/conda/bin
-  #          make -C backend/python/bark
-  #          make -C backend/python/bark test
+  #          make --jobs=5 --output-sync=target -C backend/python/bark
+  #          make --jobs=5 --output-sync=target -C backend/python/bark test
 
            
   # Below tests needs GPU. Commented out for now
@@ -247,21 +270,15 @@ jobs:
   #       run: |
   #         sudo apt-get update
   #         sudo apt-get install build-essential ffmpeg
-  #         curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-  #            sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-  #             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-  #            sudo apt-get update && \
-  #            sudo apt-get install -y conda
-  #         sudo apt-get install -y ca-certificates cmake curl patch
-  #         sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-  #         sudo rm -rfv /usr/bin/conda || true
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
+  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+  #         sudo apt-get install -y libopencv-dev
+  #         pip install --user grpcio-tools==1.64.0
   #     - name: Test vllm
   #       run: |
-  #          export PATH=$PATH:/opt/conda/bin
-  #          make -C backend/python/vllm
-  #          make -C backend/python/vllm test
+  #          make --jobs=5 --output-sync=target -C backend/python/vllm
+  #          make --jobs=5 --output-sync=target -C backend/python/vllm test
   tests-vallex:
     runs-on: ubuntu-latest
     steps:
@@ -273,21 +290,15 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2    
-          sudo rm -rfv /usr/bin/conda || true
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
       - name: Test vall-e-x
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/vall-e-x
-           make -C backend/python/vall-e-x test
+           make --jobs=5 --output-sync=target -C backend/python/vall-e-x
+           make --jobs=5 --output-sync=target -C backend/python/vall-e-x test
 
   tests-coqui:
     runs-on: ubuntu-latest
@@ -300,18 +311,11 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch espeak espeak-ng          
-          sudo rm -rfv /usr/bin/conda || true
-
+          sudo apt-get install -y ca-certificates cmake curl patch espeak espeak-ng python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user grpcio-tools==1.64.0
       - name: Test coqui
         run: |
-           export PATH=$PATH:/opt/conda/bin
-           make -C backend/python/coqui
-           make -C backend/python/coqui test
+          make --jobs=5 --output-sync=target -C backend/python/coqui
+          make --jobs=5 --output-sync=target -C backend/python/coqui test

.github/workflows/test.yml

@@ -9,6 +9,9 @@ on:
     tags:
       - '*'
 
+env:
+  GRPC_VERSION: v1.64.0
+
 concurrency:
   group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
   cancel-in-progress: true
@@ -54,29 +57,48 @@ jobs:
           df -h
       - name: Clone
         uses: actions/checkout@v4
-        with: 
+        with:
           submodules: true
       - name: Setup Go ${{ matrix.go-version }}
-        uses: actions/setup-go@v4
+        uses: actions/setup-go@v5
         with:
           go-version: ${{ matrix.go-version }}
+          cache: false
       # You can test your matrix by printing the current Go version
       - name: Display Go version
         run: go version
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
+          sudo apt-get install build-essential curl ffmpeg
           curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
              sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
+             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
              sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
              sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
              sudo apt-get update && \
              sudo apt-get install -y conda
-          sudo apt-get install -y ca-certificates cmake curl patch
-          sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
-          
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake patch python3-pip unzip
+          sudo apt-get install -y libopencv-dev
+
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+
+          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+          sudo dpkg -i cuda-keyring_1.1-1_all.deb
+          sudo apt-get update
+          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
+          export CUDACXX=/usr/local/cuda/bin/nvcc
+
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+
+          # The python3-grpc-tools package in 22.04 is too old
+          pip install --user grpcio-tools
+
           sudo rm -rfv /usr/bin/conda || true
           PATH=$PATH:/opt/conda/bin make -C backend/python/sentencetransformers
 
@@ -85,49 +107,124 @@ jobs:
           GO_TAGS="tts" make -C sources/go-piper piper.o && \
           sudo cp -rfv sources/go-piper/piper-phonemize/pi/lib/. /usr/lib/ && \
           # Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
-          GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
+          PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
+        env:
+          CUDA_VERSION: 12-3
       - name: Cache grpc
         id: cache-grpc
-        uses: actions/cache@v3
+        uses: actions/cache@v4
         with:
           path: grpc
-          key: ${{ runner.os }}-grpc
+          key: ${{ runner.os }}-grpc-${{ env.GRPC_VERSION }}
       - name: Build grpc
         if: steps.cache-grpc.outputs.cache-hit != 'true'
         run: |
-          git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+          git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --jobs 5 --shallow-submodules https://github.com/grpc/grpc && \
           cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
             -DgRPC_BUILD_TESTS=OFF \
-            ../.. && sudo make -j12
+            ../.. && sudo make --jobs 5
       - name: Install gRPC
         run: |
-          cd grpc && cd cmake/build && sudo make -j12 install
+          cd grpc && cd cmake/build && sudo make --jobs 5 install
       - name: Test
         run: |
-          GO_TAGS="stablediffusion tts" make test
+          PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" make --jobs 5 --output-sync=target test
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
+
+  tests-aio-container:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Release space from worker
+        run: |
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          df -h
+          echo
+          sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
+          sudo apt-get remove --auto-remove android-sdk-platform-tools || true
+          sudo apt-get purge --auto-remove android-sdk-platform-tools || true
+          sudo rm -rf /usr/local/lib/android
+          sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
+          sudo rm -rf /usr/share/dotnet
+          sudo apt-get remove -y '^mono-.*' || true
+          sudo apt-get remove -y '^ghc-.*' || true
+          sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
+          sudo apt-get remove -y 'php.*' || true
+          sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
+          sudo apt-get remove -y '^google-.*' || true
+          sudo apt-get remove -y azure-cli || true
+          sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
+          sudo apt-get remove -y '^gfortran-.*' || true
+          sudo apt-get autoremove -y
+          sudo apt-get clean
+          echo
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          sudo rm -rfv build || true
+          df -h
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          submodules: true
+      - name: Build images
+        run: |
+          docker build --build-arg FFMPEG=true --build-arg IMAGE_TYPE=extras --build-arg EXTRA_BACKENDS=rerankers --build-arg MAKEFLAGS="--jobs=5 --output-sync=target" -t local-ai:tests -f Dockerfile .
+          BASE_IMAGE=local-ai:tests DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio
+      - name: Test
+        run: |
+          LOCALAI_MODELS_DIR=$PWD/models LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio \
+            make run-e2e-aio
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
 
   tests-apple:
-    runs-on: macOS-latest
+    runs-on: macOS-14
     strategy:
       matrix:
         go-version: ['1.21.x']
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with: 
+        with:
           submodules: true
       - name: Setup Go ${{ matrix.go-version }}
-        uses: actions/setup-go@v4
+        uses: actions/setup-go@v5
         with:
           go-version: ${{ matrix.go-version }}
+          cache: false
       # You can test your matrix by printing the current Go version
       - name: Display Go version
         run: go version
       - name: Dependencies
         run: |
-          brew install protobuf grpc
+          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc
+          pip install --user grpcio-tools==1.64.0
       - name: Test
         run: |
           export C_INCLUDE_PATH=/usr/local/include
           export CPLUS_INCLUDE_PATH=/usr/local/include
-          CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" make test
+          # Used to run the newer GNUMake version from brew that supports --output-sync
+          export PATH="/opt/homebrew/opt/make/libexec/gnubin:$PATH"
+          BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make --jobs 4 --output-sync=target test
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true

.github/workflows/update_swagger.yaml

@@ -0,0 +1,31 @@
+name: Update swagger
+on:
+  schedule:
+    - cron: 0 20 * * *
+  workflow_dispatch:
+jobs:
+  swagger:
+    strategy:
+      fail-fast: false
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-go@v5
+        with:
+          go-version: 'stable'
+      - run: |
+          go install github.com/swaggo/swag/cmd/swag@latest
+      - name: Bump swagger 🔧
+        run: |
+          make swagger
+      - name: Create Pull Request
+        uses: peter-evans/create-pull-request@v6
+        with:
+          token: ${{ secrets.UPDATE_BOT_TOKEN }}
+          push-to-fork: ci-forks/LocalAI
+          commit-message: 'feat(swagger): update swagger'
+          title: 'feat(swagger): update swagger'
+          branch: "update/swagger"
+          body:  Update swagger
+          signoff: true
+

.github/workflows/yaml-check.yml

@@ -0,0 +1,18 @@
+name: 'Yamllint GitHub Actions'
+on:
+  - pull_request
+jobs:
+  yamllint:
+    name: 'Yamllint'
+    runs-on: ubuntu-latest
+    steps:
+      - name: 'Checkout'
+        uses: actions/checkout@master
+      - name: 'Yamllint'
+        uses: karancode/yamllint-github-action@master
+        with:
+          yamllint_file_or_dir: 'gallery'
+          yamllint_strict: false
+          yamllint_comment: true
+        env:
+          GITHUB_ACCESS_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -6,6 +6,9 @@ get-sources
 prepare-sources
 /backend/cpp/llama/grpc-server
 /backend/cpp/llama/llama.cpp
+/backend/cpp/llama-*
+
+*.log
 
 go-ggml-transformers
 go-gpt2
@@ -21,6 +24,7 @@ local-ai
 !charts/*
 # prevent above rules from omitting the api/localai folder
 !api/localai
+!core/**/localai
 
 # Ignore models
 models/*
@@ -34,6 +38,19 @@ release/
 .idea
 
 # Generated during build
-backend-assets/
+backend-assets/*
+!backend-assets/.keep
 prepare
 /ggml-metal.metal
+docs/static/gallery.html
+
+# Protobuf generated files
+*.pb.go
+*pb2.py
+*pb2_grpc.py
+
+# SonarQube
+.scannerwork
+
+# backend virtual environments
+**/venv

.vscode/extensions.json

@@ -0,0 +1,5 @@
+{
+    "recommendations": [
+        "golang.go"
+    ]
+}

.yamllint

@@ -0,0 +1,4 @@
+extends: default
+
+rules:
+    line-length: disable

CONTRIBUTING.md

@@ -1,4 +1,4 @@
-# Contributing to localAI
+# Contributing to LocalAI
 
 Thank you for your interest in contributing to LocalAI! We appreciate your time and effort in helping to improve our project. Before you get started, please take a moment to review these guidelines.
 
@@ -29,8 +29,9 @@ Thank you for your interest in contributing to LocalAI! We appreciate your time
 
 1. Clone the repository: `git clone https://github.com/go-skynet/LocalAI.git`
 2. Navigate to the project directory: `cd LocalAI`
-3. Install the required dependencies: `make prepare`
-4. Run LocalAI: `make run`
+3. Install the required dependencies ( see https://localai.io/basics/build/#build-localai-locally )
+4. Build LocalAI: `make build`
+5. Run LocalAI: `./local-ai`
 
 ## Contributing
 
@@ -59,14 +60,29 @@ If you find a bug, have a feature request, or encounter any issues, please check
 
 `make test` cannot handle all the model now. Please be sure to add a test case for the new features or the part was changed.
 
+### Running AIO tests
+
+All-In-One images has a set of tests that automatically verifies that most of the endpoints works correctly, a flow can be :
+
+```bash
+# Build the LocalAI docker image
+make DOCKER_IMAGE=local-ai docker
+
+# Build the corresponding AIO image
+BASE_IMAGE=local-ai DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio
+
+# Run the AIO e2e tests
+LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio make run-e2e-aio
+```
+
 ## Documentation
 
-- We are welcome the contribution of the documents, please open new PR in the official document repo [localai-website](https://github.com/go-skynet/localai-website)
-
+We are welcome the contribution of the documents, please open new PR or create a new issue. The documentation is available under `docs/` https://github.com/mudler/LocalAI/tree/master/docs
+ 
 ## Community and Communication
 
 - You can reach out via the Github issue tracker.
 - Open a new discussion at [Discussion](https://github.com/go-skynet/LocalAI/discussions)
 - Join the Discord channel [Discord](https://discord.gg/uJAeKSAGDy)
 
----
+---

Dockerfile

@@ -1,29 +1,46 @@
-ARG GO_VERSION=1.21
 ARG IMAGE_TYPE=extras
 ARG BASE_IMAGE=ubuntu:22.04
+ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
+ARG INTEL_BASE_IMAGE=${BASE_IMAGE}
 
-# extras or core
-FROM ${BASE_IMAGE} as requirements-core
+# The requirements-core target is common to all images.  It should not be placed in requirements-core unless every single build will use it.
+FROM ${BASE_IMAGE} AS requirements-core
+# TODO(mudler): install all accellerators here
+# and use make dist instead of build.
+# TODO(mudler): modify make dist to build also go-piper and stablediffusion
+# This way the same binary can work for everything(!)
+# TODO(mudler): also make sure that we bundle all the required libs in the backend-assets/lib
+# For the GPU-accell we are going to generate a tar file instead that will be extracted by the bash installer, and the libs will also be installed in the final docker image, so no need to pull ALL the dependencies
 
-ARG GO_VERSION=1.21.7
-ARG BUILD_TYPE
-ARG CUDA_MAJOR_VERSION=11
-ARG CUDA_MINOR_VERSION=7
+USER root
+
+ARG GO_VERSION=1.22.4
 ARG TARGETARCH
 ARG TARGETVARIANT
 
-ENV BUILD_TYPE=${BUILD_TYPE}
 ENV DEBIAN_FRONTEND=noninteractive
-ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh"
+ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
 
-ARG GO_TAGS="stablediffusion tinydream tts"
 
 RUN apt-get update && \
-    apt-get install -y ca-certificates curl patch pip cmake git && apt-get clean
+    apt-get install -y --no-install-recommends \
+        build-essential \
+        ccache \
+        ca-certificates \
+        cmake \
+        curl \
+        git \
+        unzip && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
 
 # Install Go
-RUN curl -L -s https://go.dev/dl/go$GO_VERSION.linux-$TARGETARCH.tar.gz | tar -v -C /usr/local -xz
-ENV PATH $PATH:/usr/local/go/bin
+RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz
+ENV PATH $PATH:/root/go/bin:/usr/local/go/bin
+
+# Install grpc compilers
+RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2 && \
+    go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
 
 COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
 RUN update-ca-certificates
@@ -32,23 +49,21 @@ RUN update-ca-certificates
 RUN echo "Target Architecture: $TARGETARCH"
 RUN echo "Target Variant: $TARGETVARIANT"
 
-# CuBLAS requirements
-RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
-    apt-get install -y software-properties-common && \
-    curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
-    dpkg -i cuda-keyring_1.1-1_all.deb && \
-    rm -f cuda-keyring_1.1-1_all.deb && \
-    apt-get update && \
-    apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}  && apt-get clean \
-    ; fi
-
+# Cuda
 ENV PATH /usr/local/cuda/bin:${PATH}
 
-# OpenBLAS requirements and stable diffusion
-RUN apt-get install -y \
-    libopenblas-dev \
-    libopencv-dev \ 
-    && apt-get clean
+# HipBLAS requirements
+ENV PATH /opt/rocm/bin:${PATH}
+
+# OpenBLAS requirements and stable diffusion, tts (espeak)
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        libopenblas-dev \
+        espeak-ng \
+        espeak \
+        libopencv-dev && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
 
 # Set up OpenCV
 RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
@@ -58,32 +73,260 @@ WORKDIR /build
 RUN test -n "$TARGETARCH" \
     || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
 
-# Extras requirements
-FROM requirements-core as requirements-extras
+###################################
+###################################
 
-RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-    install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-    gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
-    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
-    apt-get update && \
-    apt-get install -y conda && apt-get clean
+# The requirements-extras target is for any builds with IMAGE_TYPE=extras. It should not be placed in this target unless every IMAGE_TYPE=extras build will use it
+FROM requirements-core AS requirements-extras
 
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh
 ENV PATH="/root/.cargo/bin:${PATH}"
-RUN pip install --upgrade pip
+
 RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
-RUN apt-get install -y espeak-ng espeak && apt-get clean
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        python3-pip \
+        python-is-python3 \
+        python3-dev \
+        python3-venv && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/* && \
+    pip install --upgrade pip
+
+# Install grpcio-tools (the version in 22.04 is too old)
+RUN pip install --user grpcio-tools
 
 ###################################
 ###################################
 
-FROM requirements-${IMAGE_TYPE} as builder
+# Base image for the build-type. 
+FROM requirements-${IMAGE_TYPE} AS run-requirements-drivers
 
-ARG GO_TAGS="stablediffusion tts"
+ARG BUILD_TYPE
+ARG CUDA_MAJOR_VERSION=12
+ARG CUDA_MINOR_VERSION=5
+
+ENV BUILD_TYPE=${BUILD_TYPE}
+
+# Vulkan requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "vulkan" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+                        software-properties-common pciutils wget gpg-agent && \
+        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
+        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
+        apt-get update && \
+            apt-get install -y \
+            vulkan-sdk && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+# CuBLAS requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+                        software-properties-common pciutils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+        fi
+        dpkg -i cuda-keyring_1.1-1_all.deb && \
+            rm -f cuda-keyring_1.1-1_all.deb && \
+            apt-get update && \
+            apt-get install -y --no-install-recommends \
+                cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils && \
+        curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
+        dpkg -i cuda-keyring_1.1-1_all.deb && \
+        rm -f cuda-keyring_1.1-1_all.deb && \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* \
+    ; fi
+
+# If we are building with clblas support, we need the libraries for the builds
+RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            libclblast-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* \
+    ; fi
+
+RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            hipblas-dev \
+            rocblas-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* && \
+        # I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
+        # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
+        ldconfig \
+    ; fi
+
+# The build-requirements-drivers target is for BUILD_TYPE specific items.  If you need to install something specific to CUDA, or specific to ROCM, it goes here.
+# This target will be built on top of requirements-core or requirements-extras as retermined by the IMAGE_TYPE build-arg
+FROM requirements-${IMAGE_TYPE} AS build-requirements-drivers
+
+ARG BUILD_TYPE
+ARG CUDA_MAJOR_VERSION=12
+ARG CUDA_MINOR_VERSION=5
+
+ENV BUILD_TYPE=${BUILD_TYPE}
+
+# Vulkan requirements
+RUN <<EOT bash
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+                        software-properties-common pciutils wget gpg-agent && \
+        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
+        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
+        apt-get update && \
+            apt-get install -y \
+            vulkan-sdk && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+EOT
+
+# CuBLAS requirements
+RUN <<EOT bash
+    apt-get update && \
+    apt-get install -y  --no-install-recommends \
+                    software-properties-common pciutils
+    if [ "amd64" = "$TARGETARCH" ]; then
+        curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+        fi
+    if [ "arm64" = "$TARGETARCH" ]; then
+        curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+    fi
+    dpkg -i cuda-keyring_1.1-1_all.deb && \
+        rm -f cuda-keyring_1.1-1_all.deb && \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+        apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+EOT
+
+# clblas
+RUN apt-get update && \
+        apt-get install -y --no-install-recommends \
+            libclblast-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+
+# intel
+RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | tee /etc/apt/sources.list.d/oneAPI.list && apt update && apt install -y intel-basekit && apt-get clean && \
+rm -rf /var/lib/apt/lists/*
+
+# hipblas
+RUN wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | \
+        gpg --dearmor | tee /etc/apt/keyrings/rocm.gpg > /dev/null && apt-get update && \
+        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/6.1.2/ubuntu jammy main" \
+        | tee /etc/apt/sources.list.d/amdgpu.list && \
+        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.1.2 jammy main" |  tee --append /etc/apt/sources.list.d/rocm.list && printf 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | tee /etc/apt/preferences.d/rocm-pin-600 && \
+        apt update && \
+        apt-get install -y --no-install-recommends \
+            hipblas-dev rocm-dev \
+            rocblas-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* && \
+        # I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
+        # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
+        ldconfig
+
+###################################
+###################################
+
+# Temporary workaround for Intel's repository to work correctly
+# https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/APT-Repository-not-working-signatures-invalid/m-p/1599436/highlight/true#M36143
+# This is a temporary workaround until Intel fixes their repository
+FROM ${INTEL_BASE_IMAGE} AS intel
+RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
+gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
+RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
+
+###################################
+###################################
+
+# The grpc target does one thing, it builds and installs GRPC.  This is in it's own layer so that it can be effectively cached by CI.
+# You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
+FROM ${GRPC_BASE_IMAGE} AS grpc
+
+# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
+ARG GRPC_MAKEFLAGS="-j4 -Otarget"
+ARG GRPC_VERSION=v1.64.2
+
+ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
+
+WORKDIR /build
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        ca-certificates \
+        build-essential \
+        cmake \
+        git && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# We install GRPC to a different prefix here so that we can copy in only the build artifacts later
+# saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
+# and running make install in the target container
+RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+    mkdir -p /build/grpc/cmake/build && \
+    cd /build/grpc/cmake/build && \
+    cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
+    make && \
+    make install && \
+    rm -rf /build
+
+###################################
+###################################
+
+# The builder target compiles LocalAI. This target is not the target that will be uploaded to the registry.
+# Adjustments to the build process should likely be made here.
+FROM build-requirements-drivers AS builder
+
+ARG GO_TAGS="stablediffusion tts p2p"
 ARG GRPC_BACKENDS
-ARG BUILD_GRPC=true
+ARG MAKEFLAGS
+
 ENV GRPC_BACKENDS=${GRPC_BACKENDS}
 ENV GO_TAGS=${GO_TAGS}
+ENV MAKEFLAGS=${MAKEFLAGS}
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
 ENV NVIDIA_VISIBLE_DEVICES=all
@@ -92,49 +335,73 @@ WORKDIR /build
 
 COPY . .
 COPY .git .
+RUN echo "GO_TAGS: $GO_TAGS"
+
 RUN make prepare
 
+# We need protoc installed, and the version in 22.04 is too old.  We will create one as part installing the GRPC build below
+# but that will also being in a newer version of absl which stablediffusion cannot compile with.  This version of protoc is only
+# here so that we can generate the grpc code for the stablediffusion build
+RUN <<EOT bash
+    if [ "amd64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+    if [ "arm64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+EOT
+
 # stablediffusion does not tolerate a newer version of abseil, build it first
 RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
 
-RUN if [ "${BUILD_GRPC}" = "true" ]; then \
-    git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
-    cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
-      -DgRPC_BUILD_TESTS=OFF \
-       ../.. && make -j12 install \
-    ; fi
+# Install the pre-built GRPC
+COPY --from=grpc /opt/grpc /usr/local
 
 # Rebuild with defaults backends
-RUN make build
+WORKDIR /build
+# Need to build tts and stablediffusion separately first (?)
+RUN make dist && rm release/*.sha256 && mv release/* local-ai
 
 RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
-    mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \
-    touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \
+        mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \
+        touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \
     ; fi
 
 ###################################
 ###################################
 
-FROM requirements-${IMAGE_TYPE}
+# This is the final target. The result of this target will be the image uploaded to the registry.
+# If you cannot find a more suitable place for an addition, this layer is a suitable place for it.
+FROM run-requirements-drivers
 
 ARG FFMPEG
 ARG BUILD_TYPE
 ARG TARGETARCH
 ARG IMAGE_TYPE=extras
+ARG EXTRA_BACKENDS
+ARG MAKEFLAGS
 
 ENV BUILD_TYPE=${BUILD_TYPE}
 ENV REBUILD=false
 ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+ENV MAKEFLAGS=${MAKEFLAGS}
 
-ARG CUDA_MAJOR_VERSION=11
+ARG CUDA_MAJOR_VERSION=12
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
 ENV NVIDIA_VISIBLE_DEVICES=all
-ENV PIP_CACHE_PURGE=true
 
 # Add FFmpeg
 RUN if [ "${FFMPEG}" = "true" ]; then \
-    apt-get install -y ffmpeg && apt-get clean \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            ffmpeg && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* \
     ; fi
 
 WORKDIR /build
@@ -146,58 +413,75 @@ WORKDIR /build
 COPY . .
 
 COPY --from=builder /build/sources ./sources/
-COPY --from=builder /build/grpc ./grpc/
+COPY --from=grpc /opt/grpc /usr/local
 
-RUN make prepare-sources && cd /build/grpc/cmake/build && make install && rm -rf grpc
+RUN make prepare-sources
 
 # Copy the binary
 COPY --from=builder /build/local-ai ./
 
 # Copy shared libraries for piper
+# TODO(mudler): bundle these libs in backend-assets/lib/ (like we do for llama.cpp deps)
 COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/
 
 # do not let stablediffusion rebuild (requires an older version of absl)
 COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
 
-## Duplicated from Makefile to avoid having a big layer that's hard to push
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/autogptq \
+# Change the shell to bash so we can use [[ tests below
+SHELL ["/bin/bash", "-c"]
+# We try to strike a balance between individual layer size (as that affects total push time) and total image size
+# Splitting the backends into more groups with fewer items results in a larger image, but a smaller size for the largest layer
+# Splitting the backends into fewer groups with more items results in a smaller image, but a larger size for the largest layer
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/coqui \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "parler-tts" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/parler-tts \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "diffusers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/diffusers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "transformers-musicgen" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/transformers-musicgen \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "exllama1" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/exllama \
     ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/bark \
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/vall-e-x \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/openvoice \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/petals \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "sentencetransformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/sentencetransformers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "exllama2" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/exllama2 \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "transformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/transformers \
     ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/diffusers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/vllm \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/mamba \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/sentencetransformers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/transformers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/vall-e-x \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/exllama \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    PATH=$PATH:/opt/conda/bin make -C backend/python/exllama2 \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/petals \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/transformers-musicgen \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-	PATH=$PATH:/opt/conda/bin make -C backend/python/coqui \
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vllm" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/vllm \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "autogptq" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/autogptq \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "bark" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/bark \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "rerankers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/rerankers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "mamba" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/mamba \
     ; fi
 
 # Make sure the models directory exists
@@ -205,7 +489,8 @@ RUN mkdir -p /build/models
 
 # Define the health check command
 HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
-  CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
+  CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
 
+VOLUME /build/models
 EXPOSE 8080
 ENTRYPOINT [ "/build/entrypoint.sh" ]

Dockerfile.aio

@@ -0,0 +1,8 @@
+ARG BASE_IMAGE=ubuntu:22.04
+
+FROM ${BASE_IMAGE} 
+
+RUN apt-get update && apt-get install -y pciutils && apt-get clean
+
+COPY aio/ /aio
+ENTRYPOINT [ "/aio/entrypoint.sh" ]

Makefile

@@ -4,11 +4,8 @@ GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
 # llama.cpp versions
-GOLLAMA_VERSION?=aeba71ee842819da681ea537e78846dc75949ac0
-
-GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7
-
-CPPLLAMA_VERSION?=f026f8120f97090d34a52b3dc023c82e0ede3f7d
+GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
+CPPLLAMA_VERSION?=9ef07800622e4c371605f9419864d15667c3558f
 
 # gpt4all version
 GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
@@ -16,34 +13,37 @@ GPT4ALL_VERSION?=27a8b020c36b0df8f8b82a252d261cda47cf44b8
 
 # go-rwkv version
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
-RWKV_VERSION?=633c5a3485c403cb2520693dc0991a25dace9f0f
+RWKV_VERSION?=661e7ae26d442f5cfebd2a0881b44e8c55949ec6
 
 # whisper.cpp version
-WHISPER_CPP_VERSION?=37a709f6558c6d9783199e2b8cbb136e1c41d346
+WHISPER_CPP_VERSION?=b29b3b29240aac8b71ce8e5a4360c1f1562ad66f
 
 # bert.cpp version
-BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d
+BERT_VERSION?=710044b124545415f555e4260d16b146c725a6e4
 
 # go-piper version
-PIPER_VERSION?=d6b6275ba037dabdba4a8b65dfdf6b2a73a67f07
+PIPER_VERSION?=9d0100873a7dbb0824dfea40e8cec70a1b110759
 
 # stablediffusion version
-STABLEDIFFUSION_VERSION?=d5d2be8e7e395c2d73ceef61e6fe8d240f2cd831
+STABLEDIFFUSION_VERSION?=4a3cd6aeae6f66ee57eae9a0075f8c58c3a6a38f
 
 # tinydream version
-TINYDREAM_VERSION?=772a9c0d9aaf768290e63cca3c904fe69faf677a
+TINYDREAM_VERSION?=c04fa463ace9d9a6464313aa5f9cd0f953b6c057
 
 export BUILD_TYPE?=
 export STABLE_BUILD_TYPE?=$(BUILD_TYPE)
 export CMAKE_ARGS?=
 
 CGO_LDFLAGS?=
+CGO_LDFLAGS_WHISPER?=
 CUDA_LIBPATH?=/usr/local/cuda/lib64/
 GO_TAGS?=
-BUILD_ID?=git
+BUILD_ID?=
 
 TEST_DIR=/tmp/test
 
+TEST_FLAKES?=5
+
 RANDOM := $(shell bash -c 'echo $$RANDOM')
 
 VERSION?=$(shell git describe --always --tags || echo "dev" )
@@ -54,7 +54,7 @@ override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell gi
 
 OPTIONAL_TARGETS?=
 
-OS := $(shell uname -s)
+export OS := $(shell uname -s)
 ARCH := $(shell uname -m)
 GREEN  := $(shell tput -Txterm setaf 2)
 YELLOW := $(shell tput -Txterm setaf 3)
@@ -70,7 +70,7 @@ UNAME_S := $(shell uname -s)
 endif
 
 ifeq ($(OS),Darwin)
-	CGO_LDFLAGS += -lcblas -framework Accelerate
+
 	ifeq ($(OSX_SIGNING_IDENTITY),)
 		OSX_SIGNING_IDENTITY := $(shell security find-identity -v -p codesigning | grep '"' | head -n 1 | sed -E 's/.*"(.*)"/\1/')
 	endif
@@ -80,7 +80,13 @@ ifeq ($(OS),Darwin)
 		BUILD_TYPE=metal
 	# disable metal if on Darwin and any other value is explicitly passed.
 	else ifneq ($(BUILD_TYPE),metal)
-		CMAKE_ARGS+=-DLLAMA_METAL=OFF
+		CMAKE_ARGS+=-DGGML_METAL=OFF
+		export GGML_NO_ACCELERATE=1
+	endif
+
+	ifeq ($(BUILD_TYPE),metal)
+#			-lcblas 	removed: it seems to always be listed as a duplicate flag.
+		CGO_LDFLAGS += -framework Accelerate
 	endif
 endif
 
@@ -89,28 +95,36 @@ ifeq ($(BUILD_TYPE),openblas)
 	export WHISPER_OPENBLAS=1
 endif
 
+
 ifeq ($(BUILD_TYPE),cublas)
 	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
-	export LLAMA_CUBLAS=1
-	export WHISPER_CUBLAS=1
+	export GGML_CUDA=1
+	export WHISPER_CUDA=1
+	CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft
+endif
+
+ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DGGML_VULKAN=1
 endif
 
 ifeq ($(BUILD_TYPE),hipblas)
 	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	LD_LIBRARY_PATH ?= /opt/rocm/lib:/opt/rocm/llvm/lib
 	export CXX=$(ROCM_HOME)/llvm/bin/clang++
 	export CC=$(ROCM_HOME)/llvm/bin/clang
 	# llama-ggml has no hipblas support, so override it here.
 	export STABLE_BUILD_TYPE=
 	export WHISPER_HIPBLAS=1
-	GPU_TARGETS ?= gfx900,gfx90a,gfx1030,gfx1031,gfx1100
+	GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
 	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
-	CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
-	CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link
+	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
+	CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib
 endif
 
 ifeq ($(BUILD_TYPE),metal)
 	CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
-	export LLAMA_METAL=1
+	export GGML_METAL=1
 	export WHISPER_METAL=1
 endif
 
@@ -142,17 +156,22 @@ ifeq ($(findstring tts,$(GO_TAGS)),tts)
 	OPTIONAL_GRPC+=backend-assets/grpc/piper
 endif
 
-ALL_GRPC_BACKENDS=backend-assets/grpc/langchain-huggingface
+ALL_GRPC_BACKENDS=backend-assets/grpc/huggingface
 ALL_GRPC_BACKENDS+=backend-assets/grpc/bert-embeddings
-ALL_GRPC_BACKENDS+=backend-assets/grpc/llama
-ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx2
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-fallback
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-ggml
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-grpc
+ALL_GRPC_BACKENDS+=backend-assets/util/llama-cpp-rpc-server
 ALL_GRPC_BACKENDS+=backend-assets/grpc/gpt4all
 ALL_GRPC_BACKENDS+=backend-assets/grpc/rwkv
 ALL_GRPC_BACKENDS+=backend-assets/grpc/whisper
+ALL_GRPC_BACKENDS+=backend-assets/grpc/local-store
 ALL_GRPC_BACKENDS+=$(OPTIONAL_GRPC)
 
 GRPC_BACKENDS?=$(ALL_GRPC_BACKENDS) $(OPTIONAL_GRPC)
+TEST_PATHS?=./api/... ./pkg/... ./core/...
 
 # If empty, then we build all
 ifeq ($(GRPC_BACKENDS),)
@@ -163,126 +182,115 @@ ifeq ($(BUILD_API_ONLY),true)
 	GRPC_BACKENDS=
 endif
 
-.PHONY: all test build vendor
+.PHONY: all test build vendor get-sources prepare-sources prepare
 
 all: help
 
-## GPT4ALL
-sources/gpt4all:
-	git clone --recurse-submodules $(GPT4ALL_REPO) sources/gpt4all
-	cd sources/gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
+## BERT embeddings
+sources/go-bert.cpp:
+	git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp sources/go-bert.cpp
+	cd sources/go-bert.cpp && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
+
+sources/go-bert.cpp/libgobert.a: sources/go-bert.cpp
+	$(MAKE) -C sources/go-bert.cpp libgobert.a
+
+## go-llama.cpp
+sources/go-llama.cpp:
+	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp sources/go-llama.cpp
+	cd sources/go-llama.cpp && git checkout -b build $(GOLLAMA_STABLE_VERSION) && git submodule update --init --recursive --depth 1
+
+sources/go-llama.cpp/libbinding.a: sources/go-llama.cpp
+	$(MAKE) -C sources/go-llama.cpp BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
 
 ## go-piper
 sources/go-piper:
 	git clone --recurse-submodules https://github.com/mudler/go-piper sources/go-piper
 	cd sources/go-piper && git checkout -b build $(PIPER_VERSION) && git submodule update --init --recursive --depth 1
 
-## BERT embeddings
-sources/go-bert:
-	git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp sources/go-bert
-	cd sources/go-bert && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
+sources/go-piper/libpiper_binding.a: sources/go-piper
+	$(MAKE) -C sources/go-piper libpiper_binding.a example/main piper.o
+
+## GPT4ALL
+sources/gpt4all:
+	git clone --recurse-submodules $(GPT4ALL_REPO) sources/gpt4all
+	cd sources/gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
+
+sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a: sources/gpt4all
+	$(MAKE) -C sources/gpt4all/gpt4all-bindings/golang/ libgpt4all.a
+
+## RWKV
+sources/go-rwkv.cpp:
+	git clone --recurse-submodules $(RWKV_REPO) sources/go-rwkv.cpp
+	cd sources/go-rwkv.cpp && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
+
+sources/go-rwkv.cpp/librwkv.a: sources/go-rwkv.cpp
+	cd sources/go-rwkv.cpp && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a ..
 
 ## stable diffusion
 sources/go-stable-diffusion:
 	git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion sources/go-stable-diffusion
 	cd sources/go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
 
-sources/go-stable-diffusion/libstablediffusion.a:
-	$(MAKE) -C sources/go-stable-diffusion libstablediffusion.a
+sources/go-stable-diffusion/libstablediffusion.a: sources/go-stable-diffusion
+	CPATH="$(CPATH):/usr/include/opencv4" $(MAKE) -C sources/go-stable-diffusion libstablediffusion.a
 
 ## tiny-dream
 sources/go-tiny-dream:
 	git clone --recurse-submodules https://github.com/M0Rf30/go-tiny-dream sources/go-tiny-dream
 	cd sources/go-tiny-dream && git checkout -b build $(TINYDREAM_VERSION) && git submodule update --init --recursive --depth 1
 
-sources/go-tiny-dream/libtinydream.a:
+sources/go-tiny-dream/libtinydream.a: sources/go-tiny-dream
 	$(MAKE) -C sources/go-tiny-dream libtinydream.a
 
-## RWKV
-sources/go-rwkv:
-	git clone --recurse-submodules $(RWKV_REPO) sources/go-rwkv
-	cd sources/go-rwkv && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
-
-sources/go-rwkv/librwkv.a: sources/go-rwkv
-	cd sources/go-rwkv && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a ..
-
-sources/go-bert/libgobert.a: sources/go-bert
-	$(MAKE) -C sources/go-bert libgobert.a
-
-backend-assets/gpt4all: sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a
-	mkdir -p backend-assets/gpt4all
-	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.so backend-assets/gpt4all/ || true
-	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
-	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
-
-backend-assets/espeak-ng-data: sources/go-piper
-	mkdir -p backend-assets/espeak-ng-data
-	$(MAKE) -C sources/go-piper piper.o
-	@cp -rf sources/go-piper/piper-phonemize/pi/share/espeak-ng-data/. backend-assets/espeak-ng-data
-
-sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a: sources/gpt4all
-	$(MAKE) -C sources/gpt4all/gpt4all-bindings/golang/ libgpt4all.a
-
+## whisper
 sources/whisper.cpp:
-	git clone https://github.com/ggerganov/whisper.cpp.git sources/whisper.cpp
+	git clone https://github.com/ggerganov/whisper.cpp sources/whisper.cpp
 	cd sources/whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
 
 sources/whisper.cpp/libwhisper.a: sources/whisper.cpp
-	cd sources/whisper.cpp && make libwhisper.a
+	cd sources/whisper.cpp && $(MAKE) libwhisper.a
 
-sources/go-llama:
-	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp sources/go-llama
-	cd sources/go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
-
-sources/go-llama-ggml:
-	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp sources/go-llama-ggml
-	cd sources/go-llama-ggml && git checkout -b build $(GOLLAMA_STABLE_VERSION) && git submodule update --init --recursive --depth 1
-
-sources/go-llama/libbinding.a: sources/go-llama
-	$(MAKE) -C sources/go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
-
-sources/go-llama-ggml/libbinding.a: sources/go-llama-ggml
-	$(MAKE) -C sources/go-llama-ggml BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
-
-sources/go-piper/libpiper_binding.a: sources/go-piper
-	$(MAKE) -C sources/go-piper libpiper_binding.a example/main
-
-backend/cpp/llama/llama.cpp:
-	LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/llama llama.cpp	
-
-get-sources: backend/cpp/llama/llama.cpp sources/go-llama sources/go-llama-ggml sources/gpt4all sources/go-piper sources/go-rwkv sources/whisper.cpp sources/go-bert sources/go-stable-diffusion sources/go-tiny-dream
-	touch $@
+get-sources: sources/go-llama.cpp sources/gpt4all sources/go-piper sources/go-rwkv.cpp sources/whisper.cpp sources/go-bert.cpp sources/go-stable-diffusion sources/go-tiny-dream
 
 replace:
-	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang
-	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(CURDIR)/sources/go-rwkv
+	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(CURDIR)/sources/go-rwkv.cpp
 	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(CURDIR)/sources/whisper.cpp
 	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp/bindings/go=$(CURDIR)/sources/whisper.cpp/bindings/go
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(CURDIR)/sources/go-bert
-	$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(CURDIR)/sources/go-stable-diffusion
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(CURDIR)/sources/go-bert.cpp
 	$(GOCMD) mod edit -replace github.com/M0Rf30/go-tiny-dream=$(CURDIR)/sources/go-tiny-dream
 	$(GOCMD) mod edit -replace github.com/mudler/go-piper=$(CURDIR)/sources/go-piper
+	$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(CURDIR)/sources/go-stable-diffusion
+	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(CURDIR)/sources/go-llama.cpp
+
+dropreplace:
+	$(GOCMD) mod edit -dropreplace github.com/donomii/go-rwkv.cpp
+	$(GOCMD) mod edit -dropreplace github.com/ggerganov/whisper.cpp
+	$(GOCMD) mod edit -dropreplace github.com/ggerganov/whisper.cpp/bindings/go
+	$(GOCMD) mod edit -dropreplace github.com/go-skynet/go-bert.cpp
+	$(GOCMD) mod edit -dropreplace github.com/M0Rf30/go-tiny-dream
+	$(GOCMD) mod edit -dropreplace github.com/mudler/go-piper
+	$(GOCMD) mod edit -dropreplace github.com/mudler/go-stable-diffusion
+	$(GOCMD) mod edit -dropreplace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang
+	$(GOCMD) mod edit -dropreplace github.com/go-skynet/go-llama.cpp
 
 prepare-sources: get-sources replace
 	$(GOCMD) mod download
-	touch $@
 
 ## GENERIC
 rebuild: ## Rebuilds the project
 	$(GOCMD) clean -cache
-	$(MAKE) -C sources/go-llama clean
-	$(MAKE) -C sources/go-llama-ggml clean
+	$(MAKE) -C sources/go-llama.cpp clean
 	$(MAKE) -C sources/gpt4all/gpt4all-bindings/golang/ clean
-	$(MAKE) -C sources/go-rwkv clean
+	$(MAKE) -C sources/go-rwkv.cpp clean
 	$(MAKE) -C sources/whisper.cpp clean
 	$(MAKE) -C sources/go-stable-diffusion clean
-	$(MAKE) -C sources/go-bert clean
+	$(MAKE) -C sources/go-bert.cpp clean
 	$(MAKE) -C sources/go-piper clean
 	$(MAKE) -C sources/go-tiny-dream clean
 	$(MAKE) build
 
 prepare: prepare-sources $(OPTIONAL_TARGETS)
-	touch $@
 
 clean: ## Remove build related file
 	$(GOCMD) clean -cache
@@ -290,22 +298,75 @@ clean: ## Remove build related file
 	rm -rf ./sources
 	rm -rf $(BINARY_NAME)
 	rm -rf release/
-	rm -rf backend-assets
+	rm -rf backend-assets/*
 	$(MAKE) -C backend/cpp/grpc clean
 	$(MAKE) -C backend/cpp/llama clean
+	rm -rf backend/cpp/llama-* || true
+	$(MAKE) dropreplace
+	$(MAKE) protogen-clean
+	rmdir pkg/grpc/proto || true
+
+clean-tests:
+	rm -rf test-models
+	rm -rf test-dir
+	rm -rf core/http/backend-assets
 
 ## Build:
-
-build: backend-assets grpcs prepare ## Build the project
+build: prepare backend-assets grpcs ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
 	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
 	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
+ifneq ($(BACKEND_LIBS),)
+	$(MAKE) backend-assets/lib
+	cp $(BACKEND_LIBS) backend-assets/lib/
+endif
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
 
-dist: build
+build-minimal:
+	BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp-avx2" GO_TAGS=none $(MAKE) build
+
+build-api:
+	BUILD_GRPC_FOR_BACKEND_LLAMA=true BUILD_API_ONLY=true GO_TAGS=none $(MAKE) build
+
+backend-assets/lib:
+	mkdir -p backend-assets/lib
+
+dist:
+	$(MAKE) backend-assets/grpc/llama-cpp-avx2
+ifeq ($(OS),Darwin)
+	$(info ${GREEN}I Skip CUDA/hipblas build on MacOS${RESET})
+else
+ifneq ($(ARCH),arm64)
+	$(MAKE) backend-assets/grpc/llama-cpp-cuda
+	$(MAKE) backend-assets/grpc/llama-cpp-hipblas
+	$(MAKE) backend-assets/grpc/llama-cpp-sycl_f16
+	$(MAKE) backend-assets/grpc/llama-cpp-sycl_f32
+endif
+endif
+	STATIC=true $(MAKE) build
 	mkdir -p release
+# if BUILD_ID is empty, then we don't append it to the binary name
+ifeq ($(BUILD_ID),)
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(OS)-$(ARCH)
+	shasum -a 256 release/$(BINARY_NAME)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(OS)-$(ARCH).sha256
+else
 	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH)
+	shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH).sha256
+endif
+
+dist-cross-linux-arm64: 
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" \
+	STATIC=true $(MAKE) build
+	mkdir -p release
+# if BUILD_ID is empty, then we don't append it to the binary name
+ifeq ($(BUILD_ID),)
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(OS)-arm64
+	shasum -a 256 release/$(BINARY_NAME)-$(OS)-arm64 > release/$(BINARY_NAME)-$(OS)-arm64.sha256
+else
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64
+	shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64 > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64.sha256
+endif
 
 osx-signed: build
 	codesign --deep --force --sign "$(OSX_SIGNING_IDENTITY)" --entitlements "./Entitlements.plist" "./$(BINARY_NAME)"
@@ -314,10 +375,10 @@ osx-signed: build
 run: prepare ## run local-ai
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./
 
-test-models/testmodel:
+test-models/testmodel.ggml:
 	mkdir test-models
 	mkdir test-dir
-	wget -q https://huggingface.co/TheBloke/orca_mini_3B-GGML/resolve/main/orca-mini-3b.ggmlv3.q4_0.bin -O test-models/testmodel
+	wget -q https://huggingface.co/TheBloke/orca_mini_3B-GGML/resolve/main/orca-mini-3b.ggmlv3.q4_0.bin -O test-models/testmodel.ggml
 	wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
 	wget -q https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
 	wget -q https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
@@ -326,15 +387,15 @@ test-models/testmodel:
 	cp tests/models_fixtures/* test-models
 
 prepare-test: grpcs
-	cp -rf backend-assets api
+	cp -rf backend-assets core/http
 	cp tests/models_fixtures/* test-models
 
-test: prepare test-models/testmodel grpcs
+test: prepare test-models/testmodel.ggml grpcs
 	@echo 'Running tests'
-	export GO_TAGS="tts stablediffusion"
+	export GO_TAGS="tts stablediffusion debug"
 	$(MAKE) prepare-test
 	HUGGINGFACE_GRPC=$(abspath ./)/backend/python/sentencetransformers/run.sh TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama && !llama-gguf"  --flake-attempts 5 --fail-fast -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama && !llama-gguf"  --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
 	$(MAKE) test-gpt4all
 	$(MAKE) test-llama
 	$(MAKE) test-llama-gguf
@@ -345,12 +406,16 @@ prepare-e2e:
 	mkdir -p $(TEST_DIR)
 	cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
 	test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
-	docker build --build-arg BUILD_GRPC=true --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=11 --build-arg CUDA_MINOR_VERSION=7 --build-arg FFMPEG=true -t localai-tests .
+	docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=5 --build-arg FFMPEG=true -t localai-tests .
 
 run-e2e-image:
 	ls -liah $(abspath ./tests/e2e-fixtures)
 	docker run -p 5390:8080 -e MODELS_PATH=/models -e THREADS=1 -e DEBUG=true -d --rm -v $(TEST_DIR):/models --gpus all --name e2e-tests-$(RANDOM) localai-tests
 
+run-e2e-aio:
+	@echo 'Running e2e AIO tests'
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts 5 -v -r ./tests/e2e-aio
+
 test-e2e:
 	@echo 'Running e2e tests'
 	BUILD_TYPE=$(BUILD_TYPE) \
@@ -363,23 +428,28 @@ teardown-e2e:
 
 test-gpt4all: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="gpt4all" --flake-attempts 5 -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="gpt4all" --flake-attempts 5 -v -r $(TEST_PATHS)
 
 test-llama: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts 5 -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts 5 -v -r $(TEST_PATHS)
 
 test-llama-gguf: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama-gguf" --flake-attempts 5 -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama-gguf" --flake-attempts 5 -v -r $(TEST_PATHS)
 
 test-tts: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="tts" --flake-attempts 1 -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="tts" --flake-attempts 1 -v -r $(TEST_PATHS)
 
 test-stablediffusion: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stablediffusion" --flake-attempts 1 -v -r ./api ./pkg
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stablediffusion" --flake-attempts 1 -v -r $(TEST_PATHS)
+
+test-stores: backend-assets/grpc/local-store
+	mkdir -p tests/integration/backend-assets/grpc
+	cp -f backend-assets/grpc/local-store tests/integration/backend-assets/grpc/
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stores" --flake-attempts 1 -v -r tests/integration
 
 test-container:
 	docker build --target requirements -t local-ai-test-container .
@@ -397,30 +467,160 @@ help: ## Show this help.
 		else if (/^## .*$$/) {printf "  ${CYAN}%s${RESET}\n", substr($$1,4)} \
 		}' $(MAKEFILE_LIST)
 
+.PHONY: protogen
 protogen: protogen-go protogen-python
 
+.PHONY: protogen-clean
+protogen-clean: protogen-go-clean protogen-python-clean
+
+.PHONY: protogen-go
 protogen-go:
-	protoc -Ibackend/ --go_out=pkg/grpc/proto/ --go_opt=paths=source_relative --go-grpc_out=pkg/grpc/proto/ --go-grpc_opt=paths=source_relative \
+	mkdir -p pkg/grpc/proto
+	protoc --experimental_allow_proto3_optional -Ibackend/ --go_out=pkg/grpc/proto/ --go_opt=paths=source_relative --go-grpc_out=pkg/grpc/proto/ --go-grpc_opt=paths=source_relative \
     backend/backend.proto
 
-protogen-python:
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/sentencetransformers/ --grpc_python_out=backend/python/sentencetransformers/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/transformers/ --grpc_python_out=backend/python/transformers/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/transformers-musicgen/ --grpc_python_out=backend/python/transformers-musicgen/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/autogptq/ --grpc_python_out=backend/python/autogptq/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/exllama/ --grpc_python_out=backend/python/exllama/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/bark/ --grpc_python_out=backend/python/bark/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/diffusers/ --grpc_python_out=backend/python/diffusers/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/coqui/ --grpc_python_out=backend/python/coqui/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/vall-e-x/ --grpc_python_out=backend/python/vall-e-x/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/vllm/ --grpc_python_out=backend/python/vllm/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/petals/ --grpc_python_out=backend/python/petals/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/mamba/ --grpc_python_out=backend/python/mamba/ backend/backend.proto
-	python3 -m grpc_tools.protoc -Ibackend/ --python_out=backend/python/exllama2/ --grpc_python_out=backend/python/exllama2/ backend/backend.proto
+.PHONY: protogen-go-clean
+protogen-go-clean:
+	$(RM) pkg/grpc/proto/backend.pb.go pkg/grpc/proto/backend_grpc.pb.go
+	$(RM) bin/*
+
+.PHONY: protogen-python
+protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen
+
+.PHONY: protogen-python-clean
+protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean openvoice-protogen-clean
+
+.PHONY: autogptq-protogen
+autogptq-protogen:
+	$(MAKE) -C backend/python/autogptq protogen
+
+.PHONY: autogptq-protogen-clean
+autogptq-protogen-clean:
+	$(MAKE) -C backend/python/autogptq protogen-clean
+
+.PHONY: bark-protogen
+bark-protogen:
+	$(MAKE) -C backend/python/bark protogen
+
+.PHONY: bark-protogen-clean
+bark-protogen-clean:
+	$(MAKE) -C backend/python/bark protogen-clean
+
+.PHONY: coqui-protogen
+coqui-protogen:
+	$(MAKE) -C backend/python/coqui protogen
+
+.PHONY: coqui-protogen-clean
+coqui-protogen-clean:
+	$(MAKE) -C backend/python/coqui protogen-clean
+
+.PHONY: diffusers-protogen
+diffusers-protogen:
+	$(MAKE) -C backend/python/diffusers protogen
+
+.PHONY: diffusers-protogen-clean
+diffusers-protogen-clean:
+	$(MAKE) -C backend/python/diffusers protogen-clean
+
+.PHONY: exllama-protogen
+exllama-protogen:
+	$(MAKE) -C backend/python/exllama protogen
+
+.PHONY: exllama-protogen-clean
+exllama-protogen-clean:
+	$(MAKE) -C backend/python/exllama protogen-clean
+
+.PHONY: exllama2-protogen
+exllama2-protogen:
+	$(MAKE) -C backend/python/exllama2 protogen
+
+.PHONY: exllama2-protogen-clean
+exllama2-protogen-clean:
+	$(MAKE) -C backend/python/exllama2 protogen-clean
+
+.PHONY: mamba-protogen
+mamba-protogen:
+	$(MAKE) -C backend/python/mamba protogen
+
+.PHONY: mamba-protogen-clean
+mamba-protogen-clean:
+	$(MAKE) -C backend/python/mamba protogen-clean
+
+.PHONY: petals-protogen
+petals-protogen:
+	$(MAKE) -C backend/python/petals protogen
+
+.PHONY: petals-protogen-clean
+petals-protogen-clean:
+	$(MAKE) -C backend/python/petals protogen-clean
+
+.PHONY: rerankers-protogen
+rerankers-protogen:
+	$(MAKE) -C backend/python/rerankers protogen
+
+.PHONY: rerankers-protogen-clean
+rerankers-protogen-clean:
+	$(MAKE) -C backend/python/rerankers protogen-clean
+
+.PHONY: sentencetransformers-protogen
+sentencetransformers-protogen:
+	$(MAKE) -C backend/python/sentencetransformers protogen
+
+.PHONY: sentencetransformers-protogen-clean
+sentencetransformers-protogen-clean:
+	$(MAKE) -C backend/python/sentencetransformers protogen-clean
+
+.PHONY: transformers-protogen
+transformers-protogen:
+	$(MAKE) -C backend/python/transformers protogen
+
+.PHONY: transformers-protogen-clean
+transformers-protogen-clean:
+	$(MAKE) -C backend/python/transformers protogen-clean
+
+.PHONY: parler-tts-protogen
+parler-tts-protogen:
+	$(MAKE) -C backend/python/parler-tts protogen
+
+.PHONY: parler-tts-protogen-clean
+parler-tts-protogen-clean:
+	$(MAKE) -C backend/python/parler-tts protogen-clean
+
+.PHONY: transformers-musicgen-protogen
+transformers-musicgen-protogen:
+	$(MAKE) -C backend/python/transformers-musicgen protogen
+
+.PHONY: transformers-musicgen-protogen-clean
+transformers-musicgen-protogen-clean:
+	$(MAKE) -C backend/python/transformers-musicgen protogen-clean
+
+.PHONY: vall-e-x-protogen
+vall-e-x-protogen:
+	$(MAKE) -C backend/python/vall-e-x protogen
+
+.PHONY: vall-e-x-protogen-clean
+vall-e-x-protogen-clean:
+	$(MAKE) -C backend/python/vall-e-x protogen-clean
+
+.PHONY: openvoice-protogen
+openvoice-protogen:
+	$(MAKE) -C backend/python/openvoice protogen
+
+.PHONY: openvoice-protogen-clean
+openvoice-protogen-clean:
+	$(MAKE) -C backend/python/openvoice protogen-clean
+
+.PHONY: vllm-protogen
+vllm-protogen:
+	$(MAKE) -C backend/python/vllm protogen
+
+.PHONY: vllm-protogen-clean
+vllm-protogen-clean:
+	$(MAKE) -C backend/python/vllm protogen-clean
 
 ## GRPC
 # Note: it is duplicated in the Dockerfile
-prepare-extra-conda-environments:
+prepare-extra-conda-environments: protogen-python
 	$(MAKE) -C backend/python/autogptq
 	$(MAKE) -C backend/python/bark
 	$(MAKE) -C backend/python/coqui
@@ -428,14 +628,17 @@ prepare-extra-conda-environments:
 	$(MAKE) -C backend/python/vllm
 	$(MAKE) -C backend/python/mamba
 	$(MAKE) -C backend/python/sentencetransformers
+	$(MAKE) -C backend/python/rerankers
 	$(MAKE) -C backend/python/transformers
 	$(MAKE) -C backend/python/transformers-musicgen
+	$(MAKE) -C backend/python/parler-tts
 	$(MAKE) -C backend/python/vall-e-x
+	$(MAKE) -C backend/python/openvoice
 	$(MAKE) -C backend/python/exllama
 	$(MAKE) -C backend/python/petals
 	$(MAKE) -C backend/python/exllama2
 
-prepare-test-extra:
+prepare-test-extra: protogen-python
 	$(MAKE) -C backend/python/transformers
 	$(MAKE) -C backend/python/diffusers
 
@@ -449,91 +652,158 @@ ifeq ($(BUILD_API_ONLY),true)
 	touch backend-assets/keep
 endif
 
-backend-assets/grpc:
+backend-assets/espeak-ng-data: sources/go-piper sources/go-piper/libpiper_binding.a
+	mkdir -p backend-assets/espeak-ng-data
+	@cp -rf sources/go-piper/piper-phonemize/pi/share/espeak-ng-data/. backend-assets/espeak-ng-data
+
+backend-assets/gpt4all: sources/gpt4all sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a
+	mkdir -p backend-assets/gpt4all
+	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.so backend-assets/gpt4all/ || true
+	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
+	@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
+
+backend-assets/grpc: protogen-go replace
 	mkdir -p backend-assets/grpc
 
-backend-assets/grpc/llama: backend-assets/grpc sources/go-llama/libbinding.a
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(CURDIR)/sources/go-llama
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama LIBRARY_PATH=$(CURDIR)/sources/go-llama \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama ./backend/go/llm/llama/
-# TODO: every binary should have its own folder instead, so can have different  implementations
-ifeq ($(BUILD_TYPE),metal)
-	cp backend/cpp/llama/llama.cpp/ggml-metal.metal backend-assets/grpc/
-endif
+backend-assets/grpc/bert-embeddings: sources/go-bert.cpp sources/go-bert.cpp/libgobert.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-bert.cpp LIBRARY_PATH=$(CURDIR)/sources/go-bert.cpp \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bert-embeddings ./backend/go/llm/bert/
 
-## BACKEND CPP LLAMA START
-# Sets the variables in case it has to build the gRPC locally.
-INSTALLED_PACKAGES=$(CURDIR)/backend/cpp/grpc/installed_packages
-INSTALLED_LIB_CMAKE=$(INSTALLED_PACKAGES)/lib/cmake
-ADDED_CMAKE_ARGS=-Dabsl_DIR=${INSTALLED_LIB_CMAKE}/absl \
-                 -DProtobuf_DIR=${INSTALLED_LIB_CMAKE}/protobuf \
-                 -Dutf8_range_DIR=${INSTALLED_LIB_CMAKE}/utf8_range \
-                 -DgRPC_DIR=${INSTALLED_LIB_CMAKE}/grpc \
-                 -DCMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES=${INSTALLED_PACKAGES}/include
-
-backend/cpp/llama/grpc-server:
-ifdef BUILD_GRPC_FOR_BACKEND_LLAMA
-	$(MAKE) -C backend/cpp/grpc build
-	export _PROTOBUF_PROTOC=${INSTALLED_PACKAGES}/bin/proto && \
-	export _GRPC_CPP_PLUGIN_EXECUTABLE=${INSTALLED_PACKAGES}/bin/grpc_cpp_plugin && \
-	export PATH="${INSTALLED_PACKAGES}/bin:${PATH}" && \
-	CMAKE_ARGS="${CMAKE_ARGS} ${ADDED_CMAKE_ARGS}" LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/llama grpc-server
-else
-	echo "BUILD_GRPC_FOR_BACKEND_LLAMA is not defined."
-	LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/llama grpc-server			
-endif
-## BACKEND CPP LLAMA END
-
-##
-backend-assets/grpc/llama-cpp: backend-assets/grpc backend/cpp/llama/grpc-server
-	cp -rfv backend/cpp/llama/grpc-server backend-assets/grpc/llama-cpp
-# TODO: every binary should have its own folder instead, so can have different metal implementations
-ifeq ($(BUILD_TYPE),metal)
-	cp backend/cpp/llama/llama.cpp/build/bin/ggml-metal.metal backend-assets/grpc/
-endif
-
-backend-assets/grpc/llama-ggml: backend-assets/grpc sources/go-llama-ggml/libbinding.a
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(CURDIR)/sources/go-llama-ggml
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama-ggml LIBRARY_PATH=$(CURDIR)/sources/go-llama-ggml \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama-ggml ./backend/go/llm/llama-ggml/
-
-backend-assets/grpc/gpt4all: backend-assets/grpc backend-assets/gpt4all sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a
+backend-assets/grpc/gpt4all: sources/gpt4all sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a backend-assets/gpt4all backend-assets/grpc
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang/ LIBRARY_PATH=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang/ \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gpt4all ./backend/go/llm/gpt4all/
 
-backend-assets/grpc/rwkv: backend-assets/grpc sources/go-rwkv/librwkv.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-rwkv LIBRARY_PATH=$(CURDIR)/sources/go-rwkv \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/rwkv ./backend/go/llm/rwkv
+backend-assets/grpc/huggingface: backend-assets/grpc
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/huggingface ./backend/go/llm/langchain/
 
-backend-assets/grpc/bert-embeddings: backend-assets/grpc sources/go-bert/libgobert.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-bert LIBRARY_PATH=$(CURDIR)/sources/go-bert \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bert-embeddings ./backend/go/llm/bert/
+backend/cpp/llama/llama.cpp:
+	LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/llama llama.cpp
 
-backend-assets/grpc/langchain-huggingface: backend-assets/grpc
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/langchain-huggingface ./backend/go/llm/langchain/
+INSTALLED_PACKAGES=$(CURDIR)/backend/cpp/grpc/installed_packages
+INSTALLED_LIB_CMAKE=$(INSTALLED_PACKAGES)/lib/cmake
+ADDED_CMAKE_ARGS=-Dabsl_DIR=${INSTALLED_LIB_CMAKE}/absl \
+				 -DProtobuf_DIR=${INSTALLED_LIB_CMAKE}/protobuf \
+				 -Dutf8_range_DIR=${INSTALLED_LIB_CMAKE}/utf8_range \
+				 -DgRPC_DIR=${INSTALLED_LIB_CMAKE}/grpc \
+				 -DCMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES=${INSTALLED_PACKAGES}/include
+build-llama-cpp-grpc-server:
+# Conditionally build grpc for the llama backend to use if needed
+ifdef BUILD_GRPC_FOR_BACKEND_LLAMA
+	$(MAKE) -C backend/cpp/grpc build
+	_PROTOBUF_PROTOC=${INSTALLED_PACKAGES}/bin/proto \
+	_GRPC_CPP_PLUGIN_EXECUTABLE=${INSTALLED_PACKAGES}/bin/grpc_cpp_plugin \
+	PATH="${INSTALLED_PACKAGES}/bin:${PATH}" \
+	CMAKE_ARGS="${CMAKE_ARGS} ${ADDED_CMAKE_ARGS}" \
+	LLAMA_VERSION=$(CPPLLAMA_VERSION) \
+	$(MAKE) -C backend/cpp/${VARIANT} grpc-server
+else
+	echo "BUILD_GRPC_FOR_BACKEND_LLAMA is not defined."
+	LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/${VARIANT} grpc-server
+endif
 
-backend-assets/grpc/stablediffusion: backend-assets/grpc
-	if [ ! -f backend-assets/grpc/stablediffusion ]; then \
-		$(MAKE) sources/go-stable-diffusion/libstablediffusion.a; \
-		CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-stable-diffusion/ LIBRARY_PATH=$(CURDIR)/sources/go-stable-diffusion/ \
-		$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion ./backend/go/image/stablediffusion; \
-	fi
+# This target is for manually building a variant with-auto detected flags
+backend-assets/grpc/llama-cpp: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-cpp
+	$(MAKE) -C backend/cpp/llama-cpp purge
+	$(info ${GREEN}I llama-cpp build info:avx2${RESET})
+	$(MAKE) VARIANT="llama-cpp" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-cpp/grpc-server backend-assets/grpc/llama-cpp
 
-backend-assets/grpc/tinydream: backend-assets/grpc sources/go-tiny-dream/libtinydream.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(CURDIR)/go-tiny-dream \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/tinydream ./backend/go/image/tinydream
+backend-assets/grpc/llama-cpp-avx2: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-avx2
+	$(MAKE) -C backend/cpp/llama-avx2 purge
+	$(info ${GREEN}I llama-cpp build info:avx2${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-avx2/grpc-server backend-assets/grpc/llama-cpp-avx2
 
-backend-assets/grpc/piper: backend-assets/grpc backend-assets/espeak-ng-data sources/go-piper/libpiper_binding.a
+backend-assets/grpc/llama-cpp-avx: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-avx
+	$(MAKE) -C backend/cpp/llama-avx purge
+	$(info ${GREEN}I llama-cpp build info:avx${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-avx/grpc-server backend-assets/grpc/llama-cpp-avx
+
+backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-fallback
+	$(MAKE) -C backend/cpp/llama-fallback purge
+	$(info ${GREEN}I llama-cpp build info:fallback${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-fallback/grpc-server backend-assets/grpc/llama-cpp-fallback
+# TODO: every binary should have its own folder instead, so can have different metal implementations
+ifeq ($(BUILD_TYPE),metal)
+	cp backend/cpp/llama-fallback/llama.cpp/build/bin/default.metallib backend-assets/grpc/
+endif
+
+backend-assets/grpc/llama-cpp-cuda: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-cuda
+	$(MAKE) -C backend/cpp/llama-cuda purge
+	$(info ${GREEN}I llama-cpp build info:cuda${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-cuda/grpc-server backend-assets/grpc/llama-cpp-cuda
+
+backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-hipblas
+	$(MAKE) -C backend/cpp/llama-hipblas purge
+	$(info ${GREEN}I llama-cpp build info:hipblas${RESET})
+	BUILD_TYPE="hipblas" $(MAKE) VARIANT="llama-hipblas" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-hipblas/grpc-server backend-assets/grpc/llama-cpp-hipblas
+
+backend-assets/grpc/llama-cpp-sycl_f16: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-sycl_f16
+	$(MAKE) -C backend/cpp/llama-sycl_f16 purge
+	$(info ${GREEN}I llama-cpp build info:sycl_f16${RESET})
+	BUILD_TYPE="sycl_f16" $(MAKE) VARIANT="llama-sycl_f16" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-sycl_f16/grpc-server backend-assets/grpc/llama-cpp-sycl_f16
+
+backend-assets/grpc/llama-cpp-sycl_f32: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-sycl_f32
+	$(MAKE) -C backend/cpp/llama-sycl_f32 purge
+	$(info ${GREEN}I llama-cpp build info:sycl_f32${RESET})
+	BUILD_TYPE="sycl_f32" $(MAKE) VARIANT="llama-sycl_f32" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-sycl_f32/grpc-server backend-assets/grpc/llama-cpp-sycl_f32
+
+backend-assets/grpc/llama-cpp-grpc: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-grpc
+	$(MAKE) -C backend/cpp/llama-grpc purge
+	$(info ${GREEN}I llama-cpp build info:grpc${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-grpc/grpc-server backend-assets/grpc/llama-cpp-grpc
+
+backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc
+	mkdir -p backend-assets/util/
+	cp -rf backend/cpp/llama-grpc/llama.cpp/build/bin/rpc-server backend-assets/util/llama-cpp-rpc-server
+
+backend-assets/grpc/llama-ggml: sources/go-llama.cpp sources/go-llama.cpp/libbinding.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama.cpp LIBRARY_PATH=$(CURDIR)/sources/go-llama.cpp \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama-ggml ./backend/go/llm/llama-ggml/
+
+backend-assets/grpc/piper: sources/go-piper sources/go-piper/libpiper_binding.a backend-assets/grpc backend-assets/espeak-ng-data
 	CGO_CXXFLAGS="$(PIPER_CGO_CXXFLAGS)" CGO_LDFLAGS="$(PIPER_CGO_LDFLAGS)" LIBRARY_PATH=$(CURDIR)/sources/go-piper \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./backend/go/tts/
 
-backend-assets/grpc/whisper: backend-assets/grpc sources/whisper.cpp/libwhisper.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/whisper.cpp LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
+backend-assets/grpc/rwkv: sources/go-rwkv.cpp sources/go-rwkv.cpp/librwkv.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-rwkv.cpp LIBRARY_PATH=$(CURDIR)/sources/go-rwkv.cpp \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/rwkv ./backend/go/llm/rwkv
+
+backend-assets/grpc/stablediffusion: sources/go-stable-diffusion sources/go-stable-diffusion/libstablediffusion.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" CPATH="$(CPATH):$(CURDIR)/sources/go-stable-diffusion/:/usr/include/opencv4" LIBRARY_PATH=$(CURDIR)/sources/go-stable-diffusion/ \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion ./backend/go/image/stablediffusion
+
+backend-assets/grpc/tinydream: sources/go-tiny-dream sources/go-tiny-dream/libtinydream.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(CURDIR)/go-tiny-dream \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/tinydream ./backend/go/image/tinydream
+
+backend-assets/grpc/whisper: sources/whisper.cpp sources/whisper.cpp/libwhisper.a backend-assets/grpc
+	CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_WHISPER)" C_INCLUDE_PATH=$(CURDIR)/sources/whisper.cpp LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./backend/go/transcribe/
 
+backend-assets/grpc/local-store: backend-assets/grpc
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/local-store ./backend/go/stores/
+
 grpcs: prepare $(GRPC_BACKENDS)
 
 DOCKER_IMAGE?=local-ai
+DOCKER_AIO_IMAGE?=local-ai-aio
 IMAGE_TYPE?=core
 BASE_IMAGE?=ubuntu:22.04
 
@@ -541,13 +811,71 @@ docker:
 	docker build \
 		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
-		--build-arg GO_TAGS=$(GO_TAGS) \
+		--build-arg GO_TAGS="$(GO_TAGS)" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
 		-t $(DOCKER_IMAGE) .
 
+docker-cuda11:
+	docker build \
+		--build-arg CUDA_MAJOR_VERSION=11 \
+		--build-arg CUDA_MINOR_VERSION=8 \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
+		--build-arg GO_TAGS="$(GO_TAGS)" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
+		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		-t $(DOCKER_IMAGE)-cuda11 .
+
+docker-aio:
+	@echo "Building AIO image with base $(BASE_IMAGE) as $(DOCKER_AIO_IMAGE)"
+	docker build \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
+		-t $(DOCKER_AIO_IMAGE) -f Dockerfile.aio .
+
+docker-aio-all:
+	$(MAKE) docker-aio DOCKER_AIO_SIZE=cpu
+	$(MAKE) docker-aio DOCKER_AIO_SIZE=cpu
+
 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.0.1-devel-ubuntu22.04 \
+		--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04 \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="none" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=sycl_f32 -t $(DOCKER_IMAGE) .
+
+docker-image-intel-xpu:
+	docker build \
+		--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04 \
+		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
+		--build-arg GO_TAGS="none" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
+		--build-arg BUILD_TYPE=sycl_f32 -t $(DOCKER_IMAGE) .
+
+.PHONY: swagger
+swagger:
+	swag init -g core/http/app.go --output swagger
+
+.PHONY: gen-assets
+gen-assets:
+	$(GOCMD) run core/dependencies_manager/manager.go embedded/webui_static.yaml core/http/static/assets
+
+## Documentation
+docs/layouts/_default: 
+	mkdir -p docs/layouts/_default
+
+docs/static/gallery.html: docs/layouts/_default
+	$(GOCMD) run ./.github/ci/modelslist.go ./gallery/index.yaml > docs/static/gallery.html
+
+docs/public: docs/layouts/_default docs/static/gallery.html
+	cd docs && hugo --minify
+
+docs-clean:
+	rm -rf docs/public
+	rm -rf docs/static/gallery.html
+
+.PHONY: docs
+docs: docs/static/gallery.html
+	cd docs && hugo serve

README.md

@@ -20,14 +20,14 @@
 </a>
 </p>
 
-[<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker">](https://hub.docker.com/r/localai/localai)
-[<img src="https://img.shields.io/badge/quay.io-images-important.svg?">](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest)
-
-> :bulb: Get help - [❓FAQ](https://localai.io/faq/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
->
-> [💻 Quickstart](https://localai.io/basics/getting_started/) [📣 News](https://localai.io/basics/news/) [ 🛫 Examples ](https://github.com/go-skynet/LocalAI/tree/master/examples/) [ 🖼️ Models ](https://localai.io/models/) [ 🚀 Roadmap ](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
-
-[![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)
+<p align="center">
+<a href="https://hub.docker.com/r/localai/localai" target="blank">
+<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker" alt="LocalAI Docker hub"/>
+</a>
+<a href="https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest" target="blank">
+<img src="https://img.shields.io/badge/quay.io-images-important.svg?" alt="LocalAI Quay.io"/>
+</a>
+</p>
 
 <p align="center">
 <a href="https://twitter.com/LocalAI_API" target="blank">
@@ -36,48 +36,74 @@
 <a href="https://discord.gg/uJAeKSAGDy" target="blank">
 <img src="https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted" alt="Join LocalAI Discord Community"/>
 </a>
+</p>
 
-**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU.
+> :bulb: Get help - [❓FAQ](https://localai.io/faq/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
+>
+> [💻 Quickstart](https://localai.io/basics/getting_started/) [📣 News](https://localai.io/basics/news/) [ 🛫 Examples ](https://github.com/go-skynet/LocalAI/tree/master/examples/) [ 🖼️ Models ](https://localai.io/models/) [ 🚀 Roadmap ](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
+
+[![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)
+
+**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
+
+![screen](https://github.com/mudler/LocalAI/assets/2420543/20b5ccd2-8393-44f0-aaf6-87a23806381e)
+
+Run the installer script:
+
+```bash
+curl https://localai.io/install.sh | sh
+```
+
+Or run with docker:
+```bash
+docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
+# Alternative images:
+# - if you have an Nvidia GPU:
+# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-12
+# - without preconfigured models
+# docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
+# - without preconfigured models for Nvidia GPUs
+# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12 
+```
+
+[💻 Getting started](https://localai.io/basics/getting_started/index.html)
 
 ## 🔥🔥 Hot topics / Roadmap
 
 [Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
 
-- Intel GPU support (sycl): https://github.com/mudler/LocalAI/issues/1653
-- Deprecation of old backends: https://github.com/mudler/LocalAI/issues/1651
-- Mamba support: https://github.com/mudler/LocalAI/pull/1589
-- Start and share models with config file: https://github.com/mudler/LocalAI/pull/1522
-- 🐸 Coqui: https://github.com/mudler/LocalAI/pull/1489
-- Inline templates: https://github.com/mudler/LocalAI/pull/1452
-- Mixtral: https://github.com/mudler/LocalAI/pull/1449
-- Img2vid https://github.com/mudler/LocalAI/pull/1442
-- Musicgen https://github.com/mudler/LocalAI/pull/1387
+- 🆕 You can browse now the model gallery without LocalAI! Check out https://models.localai.io
+- 🔥🔥 Decentralized llama.cpp:  https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs  https://localai.io/features/distribute/
+- 🔥🔥 Openvoice: https://github.com/mudler/LocalAI/pull/2334
+- 🆕 Function calls without grammars and mixed mode: https://github.com/mudler/LocalAI/pull/2328
+- 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
+- Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
+- Reranker API: https://github.com/mudler/LocalAI/pull/2121
 
 Hot topics (looking for contributors):
+
+- WebUI improvements: https://github.com/mudler/LocalAI/issues/2156
 - Backends v2: https://github.com/mudler/LocalAI/issues/1126
 - Improving UX v2: https://github.com/mudler/LocalAI/issues/1373
+- Assistant API: https://github.com/mudler/LocalAI/issues/1273
+- Moderation endpoint: https://github.com/mudler/LocalAI/issues/999
+- Vulkan: https://github.com/mudler/LocalAI/issues/1647
 
 If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22
 
-## 💻 [Getting started](https://localai.io/basics/getting_started/index.html)
-
-For a detailed step-by-step introduction, refer to the [Getting Started](https://localai.io/basics/getting_started/index.html) guide. For those in a hurry, here's a straightforward one-liner to launch a LocalAI instance with [phi-2](https://huggingface.co/microsoft/phi-2) using `docker`:
-
-```
-docker run -ti -p 8080:8080 localai/localai:v2.7.0-ffmpeg-core phi-2
-```
-
 ## 🚀 [Features](https://localai.io/features/)
 
 - 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `gpt4all.cpp`, ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
 - 🗣 [Text to Audio](https://localai.io/features/text-to-audio/)
 - 🔈 [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
 - 🎨 [Image generation with stable diffusion](https://localai.io/features/image-generation)
-- 🔥 [OpenAI functions](https://localai.io/features/openai-functions/) 🆕
+- 🔥 [OpenAI-alike tools API](https://localai.io/features/openai-functions/) 
 - 🧠 [Embeddings generation for vector databases](https://localai.io/features/embeddings/)
 - ✍️ [Constrained grammars](https://localai.io/features/constrained_grammars/)
 - 🖼️ [Download Models directly from Huggingface ](https://localai.io/models/)
-- 🆕 [Vision API](https://localai.io/features/gpt-vision/)
+- 🥽 [Vision API](https://localai.io/features/gpt-vision/)
+- 📈 [Reranker API](https://localai.io/features/reranker/)
+- 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
 
 ## 💻 Usage
 
@@ -91,27 +117,27 @@ Build and deploy custom containers:
 WebUIs:
 - https://github.com/Jirubizu/localai-admin
 - https://github.com/go-skynet/LocalAI-frontend
+- QA-Pilot(An interactive chat project that leverages LocalAI LLMs for rapid understanding and navigation of GitHub code repository) https://github.com/reid41/QA-Pilot
 
 Model galleries
 - https://github.com/go-skynet/model-gallery
-  
-Auto Docker / Model setup
-- https://io.midori-ai.xyz/howtos/easy-localai-installer/
-- https://io.midori-ai.xyz/howtos/easy-model-installer/
 
 Other:
 - Helm chart https://github.com/go-skynet/helm-charts
 - VSCode extension https://github.com/badgooooor/localai-vscode-plugin
+- Terminal utility https://github.com/djcopley/ShellOracle
 - Local Smart assistant https://github.com/mudler/LocalAGI
-- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation
+- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation / https://github.com/valentinfrlch/ha-gpt4vision
 - Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
 - Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
+- Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
 - Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
 - Examples: https://github.com/mudler/LocalAI/tree/master/examples/
+  
 
 ### 🔗 Resources
 
-- 🆕 New! [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
+- [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
 - [How to build locally](https://localai.io/basics/build/index.html)
 - [How to install in Kubernetes](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes)
 - [Projects integrating LocalAI](https://localai.io/docs/integrations/)
@@ -119,6 +145,9 @@ Other:
 
 ## :book: 🎥 [Media, Blogs, Social](https://localai.io/basics/news/#media-blogs-social)
 
+- 🆕 [Run LocalAI on Jetson Nano Devkit](https://mudler.pm/posts/local-ai-jetson-nano-devkit/)
+- [Run LocalAI on AWS EKS with Pulumi](https://www.pulumi.com/blog/low-code-llm-apps-with-local-ai-flowise-and-pulumi/)
+- [Run LocalAI on AWS](https://staleks.hashnode.dev/installing-localai-on-aws-ec2-instance)
 - [Create a slackbot for teams and OSS projects that answer to documentation](https://mudler.pm/posts/smart-slackbot-for-teams/)
 - [LocalAI meets k8sgpt](https://www.youtube.com/watch?v=PKrDNuJ_dfE)
 - [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/)
@@ -144,17 +173,16 @@ If you utilize this repository, data in a downstream project, please consider ci
 
 Support the project by becoming [a backer or sponsor](https://github.com/sponsors/mudler). Your logo will show up here with a link to your website.
 
-A huge thank you to our generous sponsors who support this project:
+A huge thank you to our generous sponsors who support this project covering CI expenses, and our [Sponsor list](https://github.com/sponsors/mudler):
 
-| ![Spectro Cloud logo_600x600px_transparent bg](https://github.com/go-skynet/LocalAI/assets/2420543/68a6f3cb-8a65-4a4d-99b5-6417a8905512) |
-|:-----------------------------------------------:|
-|  [Spectro Cloud](https://www.spectrocloud.com/)  |
-|  Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs!  |
-
-And a huge shout-out to individuals sponsoring the project by donating hardware or backing the project.
-
-- [Sponsor list](https://github.com/sponsors/mudler)
-- JDAM00 (donating HW for the CI)
+<p align="center">
+  <a href="https://www.spectrocloud.com/" target="blank">
+    <img height="200" src="https://github.com/go-skynet/LocalAI/assets/2420543/68a6f3cb-8a65-4a4d-99b5-6417a8905512">
+  </a>
+  <a href="https://www.premai.io/" target="blank">
+    <img height="200" src="https://github.com/mudler/LocalAI/assets/2420543/42e4ca83-661e-4f79-8e46-ae43689683d6"> <br>
+  </a>
+</p>
 
 ## 🌟 Star history
 
@@ -164,7 +192,7 @@ And a huge shout-out to individuals sponsoring the project by donating hardware
 
 LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
 
-MIT - Author Ettore Di Giacinto
+MIT - Author Ettore Di Giacinto <mudler@localai.io>
 
 ## 🙇 Acknowledgements
 

SECURITY.md

@@ -0,0 +1,42 @@
+# Security Policy
+
+## Introduction
+
+At LocalAI, we take the security of our software seriously. We understand the importance of protecting our community from vulnerabilities and are committed to ensuring the safety and security of our users.
+
+## Supported Versions
+
+We provide support and updates for certain versions of our software. The following table outlines which versions are currently supported with security updates:
+
+| Version | Supported          |
+| ------- | ------------------ |
+| > 2.0   | :white_check_mark: |
+| < 2.0   | :x:                |
+
+Please ensure that you are using a supported version to receive the latest security updates.
+
+## Reporting a Vulnerability
+
+We encourage the responsible disclosure of any security vulnerabilities. If you believe you've found a security issue in our software, we kindly ask you to follow the steps below to report it to us:
+
+1. **Email Us:** Send an email to [security@localai.io](mailto:security@localai.io) with a detailed report. Please do not disclose the vulnerability publicly or to any third parties before it has been addressed by us.
+
+2. **Expect a Response:** We aim to acknowledge receipt of vulnerability reports within 48 hours. Our security team will review your report and work closely with you to understand the impact and ensure a thorough investigation.
+
+3. **Collaboration:** If the vulnerability is accepted, we will work with you and our community to address the issue promptly. We'll keep you informed throughout the resolution process and may request additional information or collaboration.
+
+4. **Disclosure:** Once the vulnerability has been resolved, we encourage a coordinated disclosure. We believe in transparency and will work with you to ensure that our community is informed in a responsible manner.
+
+## Use of Third-Party Platforms
+
+As a Free and Open Source Software (FOSS) organization, we do not offer monetary bounties. However, researchers who wish to report vulnerabilities can also do so via [Huntr](https://huntr.dev/bounties), a platform that recognizes contributions to open source security.
+
+## Contact
+
+For any security-related inquiries beyond vulnerability reporting, please contact us at [security@localai.io](mailto:security@localai.io).
+
+## Acknowledgments
+
+We appreciate the efforts of those who contribute to the security of our project. Your responsible disclosure is invaluable to the safety and integrity of LocalAI.
+
+Thank you for helping us keep LocalAI secure.

aio/cpu/README.md

@@ -0,0 +1,5 @@
+## AIO CPU size
+
+Use this image with CPU-only.
+
+Please keep using only C++ backends so the base image is as small as possible (without CUDA, cuDNN, python, etc).

aio/cpu/embeddings.yaml

@@ -0,0 +1,12 @@
+name: text-embedding-ada-002
+backend: bert-embeddings
+parameters:
+  model: huggingface://mudler/all-MiniLM-L6-v2/ggml-model-q4_0.bin
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
+      "input": "Your text string goes here",
+      "model": "text-embedding-ada-002"
+    }'

aio/cpu/image-gen.yaml

@@ -0,0 +1,62 @@
+name: stablediffusion
+backend: stablediffusion
+parameters:
+  model: stablediffusion_assets
+
+license: "BSD-3"
+urls:
+- https://github.com/EdVince/Stable-Diffusion-NCNN
+- https://github.com/EdVince/Stable-Diffusion-NCNN/blob/main/LICENSE
+
+description: |
+     Stable Diffusion in NCNN with c++, supported txt2img and img2img
+
+download_files:
+- filename: "stablediffusion_assets/AutoencoderKL-256-256-fp16-opt.param"
+  sha256: "18ca4b66685e21406bcf64c484b3b680b4949900415536d599cc876579c85c82"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/AutoencoderKL-256-256-fp16-opt.param"
+- filename: "stablediffusion_assets/AutoencoderKL-512-512-fp16-opt.param"
+  sha256: "cf45f63aacf3dbbab0f59ed92a6f2c14d9a1801314631cd3abe91e3c85639a20"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/AutoencoderKL-512-512-fp16-opt.param"
+- filename: "stablediffusion_assets/AutoencoderKL-base-fp16.param"
+  sha256: "0254a056dce61b0c27dc9ec1b78b53bcf55315c540f55f051eb841aa992701ba"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/AutoencoderKL-base-fp16.param"
+- filename: "stablediffusion_assets/AutoencoderKL-encoder-512-512-fp16.bin"
+  sha256: "ddcb79a9951b9f91e05e087739ed69da2c1c4ae30ba4168cce350b49d617c9fa"
+  uri: "https://github.com/EdVince/Stable-Diffusion-NCNN/releases/download/naifu/AutoencoderKL-encoder-512-512-fp16.bin"
+- filename: "stablediffusion_assets/AutoencoderKL-fp16.bin"
+  sha256: "f02e71f80e70252734724bbfaed5c4ddd3a8ed7e61bb2175ff5f53099f0e35dd"
+  uri: "https://github.com/EdVince/Stable-Diffusion-NCNN/releases/download/naifu/AutoencoderKL-fp16.bin"
+- filename: "stablediffusion_assets/FrozenCLIPEmbedder-fp16.bin"
+  sha256: "1c9a12f4e1dd1b295a388045f7f28a2352a4d70c3dc96a542189a3dd7051fdd6"
+  uri: "https://github.com/EdVince/Stable-Diffusion-NCNN/releases/download/naifu/FrozenCLIPEmbedder-fp16.bin"
+- filename: "stablediffusion_assets/FrozenCLIPEmbedder-fp16.param"
+  sha256: "471afbe678dd1fd3fe764ef9c6eccaccb0a7d7e601f27b462aa926b20eb368c9"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/FrozenCLIPEmbedder-fp16.param"
+- filename: "stablediffusion_assets/log_sigmas.bin"
+  sha256: "a2089f8aa4c61f9c200feaec541ab3f5c94233b28deb6d5e8bcd974fa79b68ac"
+  uri: "https://github.com/EdVince/Stable-Diffusion-NCNN/raw/main/x86/linux/assets/log_sigmas.bin"
+- filename: "stablediffusion_assets/UNetModel-256-256-MHA-fp16-opt.param"
+  sha256: "a58c380229f09491776df837b7aa7adffc0a87821dc4708b34535da2e36e3da1"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/UNetModel-256-256-MHA-fp16-opt.param"
+- filename: "stablediffusion_assets/UNetModel-512-512-MHA-fp16-opt.param"
+  sha256: "f12034067062827bd7f43d1d21888d1f03905401acf6c6eea22be23c259636fa"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/UNetModel-512-512-MHA-fp16-opt.param"
+- filename: "stablediffusion_assets/UNetModel-base-MHA-fp16.param"
+  sha256: "696f6975de49f4325b53ce32aff81861a6d6c07cd9ce3f0aae2cc405350af38d"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/UNetModel-base-MHA-fp16.param"
+- filename: "stablediffusion_assets/UNetModel-MHA-fp16.bin"
+  sha256: "d618918d011bfc1f644c0f2a33bf84931bd53b28a98492b0a8ed6f3a818852c3"
+  uri: "https://github.com/EdVince/Stable-Diffusion-NCNN/releases/download/naifu/UNetModel-MHA-fp16.bin"
+- filename: "stablediffusion_assets/vocab.txt"
+  sha256: "e30e57b6f1e47616982ef898d8922be24e535b4fa3d0110477b3a6f02ebbae7d"
+  uri: "https://raw.githubusercontent.com/EdVince/Stable-Diffusion-NCNN/main/x86/linux/assets/vocab.txt"
+
+usage: |
+        curl http://localhost:8080/v1/images/generations \
+          -H "Content-Type: application/json" \
+          -d '{
+            "prompt": "<positive prompt>|<negative prompt>",
+            "step": 25,
+            "size": "512x512"
+          }'

aio/cpu/rerank.yaml

@@ -0,0 +1,27 @@
+name: jina-reranker-v1-base-en
+backend: rerankers
+parameters:
+  model: cross-encoder
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/v1/rerank \
+      -H "Content-Type: application/json" \
+      -d '{
+      "model": "jina-reranker-v1-base-en",
+      "query": "Organic skincare products for sensitive skin",
+      "documents": [
+        "Eco-friendly kitchenware for modern homes",
+        "Biodegradable cleaning supplies for eco-conscious consumers",
+        "Organic cotton baby clothes for sensitive skin",
+        "Natural organic skincare range for sensitive skin",
+        "Tech gadgets for smart homes: 2024 edition",
+        "Sustainable gardening tools and compost solutions",
+        "Sensitive skin-friendly facial cleansers and toners",
+        "Organic food wraps and storage solutions",
+        "All-natural pet food for dogs with allergies",
+        "Yoga mats made from recycled materials"
+      ],
+      "top_n": 3
+    }'

aio/cpu/speech-to-text.yaml

@@ -0,0 +1,18 @@
+name: whisper-1
+backend: whisper
+parameters:
+  model: ggml-whisper-base.bin
+
+usage: |
+    ## example audio file
+    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
+
+    ## Send the example audio file to the transcriptions endpoint
+    curl http://localhost:8080/v1/audio/transcriptions \
+         -H "Content-Type: multipart/form-data" \
+         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
+
+download_files:
+- filename: "ggml-whisper-base.bin"
+  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
+  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/cpu/text-to-speech.yaml

@@ -0,0 +1,15 @@
+name: tts-1
+download_files:
+  - filename: voice-en-us-amy-low.tar.gz
+    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
+
+parameters:
+  model: en-us-amy-low.onnx
+
+usage: |
+    To test if this model works as expected, you can use the following curl command:
+
+    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
+      "model":"voice-en-us-amy-low",
+      "input": "Hi, this is a test."
+    }'

aio/cpu/text-to-text.yaml

@@ -0,0 +1,101 @@
+name: gpt-4
+mmap: true
+parameters:
+  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
+context_size: 8192
+
+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+
+template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
+    {{- if .FunctionCall }}
+    <tool_call>
+    {{- else if eq .RoleName "tool" }}
+    <tool_response>
+    {{- end }}
+    {{- if .Content}}
+    {{.Content }}
+    {{- end }}
+    {{- if .FunctionCall}}
+    {{toJson .FunctionCall}}
+    {{- end }}
+    {{- if .FunctionCall }}
+    </tool_call>
+    {{- else if eq .RoleName "tool" }}
+    </tool_response>
+    {{- end }}<|im_end|>
+  completion: |
+    {{.Input}}
+  function: |-
+    <|im_start|>system
+    You are a function calling AI model.
+    Here are the available tools:
+    <tools>
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    </tools>
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
+    <tool_call>
+    {"arguments": <args-dict>, "name": <function-name>}
+    </tool_call><|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant

aio/cpu/vision.yaml

@@ -0,0 +1,31 @@
+backend: llama-cpp
+context_size: 4096
+f16: true
+mmap: true
+name: gpt-4-vision-preview
+
+roles:
+  user: "USER:"
+  assistant: "ASSISTANT:"
+  system: "SYSTEM:"
+
+mmproj: bakllava-mmproj.gguf
+parameters:
+  model: bakllava.gguf
+
+template:
+  chat: |
+    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input}}
+    ASSISTANT:
+
+download_files:
+- filename: bakllava.gguf
+  uri: huggingface://mys/ggml_bakllava-1/ggml-model-q4_k.gguf
+- filename: bakllava-mmproj.gguf
+  uri: huggingface://mys/ggml_bakllava-1/mmproj-model-f16.gguf
+
+usage: |
+    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
+        "model": "gpt-4-vision-preview",
+        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

aio/entrypoint.sh

@@ -0,0 +1,138 @@
+#!/bin/bash
+
+echo "===> LocalAI All-in-One (AIO) container starting..."
+
+GPU_ACCELERATION=false
+GPU_VENDOR=""
+
+function check_intel() {
+    if lspci | grep -E 'VGA|3D' | grep -iq intel; then
+        echo "Intel GPU detected"
+        if [ -d /opt/intel ]; then
+            GPU_ACCELERATION=true
+            GPU_VENDOR=intel
+        else
+            echo "Intel GPU detected, but Intel GPU drivers are not installed. GPU acceleration will not be available."
+        fi
+    fi
+}
+
+function check_nvidia_wsl() {
+    if lspci | grep -E 'VGA|3D' | grep -iq "Microsoft Corporation Device 008e"; then
+        # We make the assumption this WSL2 cars is NVIDIA, then check for nvidia-smi
+        # Make sure the container was run with `--gpus all` as the only required parameter
+        echo "NVIDIA GPU detected via WSL2"
+        # nvidia-smi should be installed in the container
+        if nvidia-smi; then
+            GPU_ACCELERATION=true
+            GPU_VENDOR=nvidia
+        else
+            echo "NVIDIA GPU detected via WSL2, but nvidia-smi is not installed. GPU acceleration will not be available."
+        fi
+    fi
+}
+
+function check_amd() {
+    if lspci | grep -E 'VGA|3D' | grep -iq amd; then
+        echo "AMD GPU detected"
+        # Check if ROCm is installed
+        if [ -d /opt/rocm ]; then
+            GPU_ACCELERATION=true
+            GPU_VENDOR=amd
+        else
+            echo "AMD GPU detected, but ROCm is not installed. GPU acceleration will not be available."
+        fi
+    fi
+}
+
+function check_nvidia() {
+    if lspci | grep -E 'VGA|3D' | grep -iq nvidia; then
+        echo "NVIDIA GPU detected"
+        # nvidia-smi should be installed in the container
+        if nvidia-smi; then
+            GPU_ACCELERATION=true
+            GPU_VENDOR=nvidia
+        else
+            echo "NVIDIA GPU detected, but nvidia-smi is not installed. GPU acceleration will not be available."
+        fi
+    fi
+}
+
+function check_metal() {
+    if system_profiler SPDisplaysDataType | grep -iq 'Metal'; then
+        echo "Apple Metal supported GPU detected"
+        GPU_ACCELERATION=true
+        GPU_VENDOR=apple
+    fi
+}
+
+function detect_gpu() {
+    case "$(uname -s)" in
+        Linux)
+            check_nvidia
+            check_amd
+            check_intel
+            check_nvidia_wsl
+            ;;
+        Darwin)
+            check_metal
+            ;;
+    esac
+}
+
+function detect_gpu_size() {
+    # Attempting to find GPU memory size for NVIDIA GPUs
+    if [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "nvidia" ]; then
+        echo "NVIDIA GPU detected. Attempting to find memory size..."
+        # Using head -n 1 to get the total memory of the 1st NVIDIA GPU detected.
+        # If handling multiple GPUs is required in the future, this is the place to do it
+        nvidia_sm=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -n 1)
+        if [ ! -z "$nvidia_sm" ]; then
+            echo "Total GPU Memory: $nvidia_sm MiB"
+            # if bigger than 8GB, use 16GB
+            #if [ "$nvidia_sm" -gt 8192 ]; then
+            #    GPU_SIZE=gpu-16g
+            #else
+            GPU_SIZE=gpu-8g
+            #fi
+        else
+            echo "Unable to determine NVIDIA GPU memory size. Falling back to CPU."
+            GPU_SIZE=gpu-8g
+        fi
+    elif [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "intel" ]; then
+        GPU_SIZE=intel
+    # Default to a generic GPU size until we implement GPU size detection for non NVIDIA GPUs
+    elif [ "$GPU_ACCELERATION" = true ]; then
+        echo "Non-NVIDIA GPU detected. Specific GPU memory size detection is not implemented."
+        GPU_SIZE=gpu-8g
+
+    # default to cpu if GPU_SIZE is not set
+    else
+        echo "GPU acceleration is not enabled or supported. Defaulting to CPU."
+        GPU_SIZE=cpu
+    fi
+}
+
+function check_vars() {
+    if [ -z "$MODELS" ]; then
+        echo "MODELS environment variable is not set. Please set it to a comma-separated list of model YAML files to load."
+        exit 1
+    fi
+
+    if [ -z "$PROFILE" ]; then
+        echo "PROFILE environment variable is not set. Please set it to one of the following: cpu, gpu-8g, gpu-16g, apple"
+        exit 1
+    fi
+}
+
+detect_gpu
+detect_gpu_size
+
+PROFILE="${PROFILE:-$GPU_SIZE}" # default to cpu
+export MODELS="${MODELS:-/aio/${PROFILE}/embeddings.yaml,/aio/${PROFILE}/rerank.yaml,/aio/${PROFILE}/text-to-speech.yaml,/aio/${PROFILE}/image-gen.yaml,/aio/${PROFILE}/text-to-text.yaml,/aio/${PROFILE}/speech-to-text.yaml,/aio/${PROFILE}/vision.yaml}"
+
+check_vars
+
+echo "===> Starting LocalAI[$PROFILE] with the following models: $MODELS"
+
+exec /build/entrypoint.sh "$@"

aio/gpu-8g/embeddings.yaml

@@ -0,0 +1,12 @@
+name: text-embedding-ada-002
+backend: sentencetransformers
+parameters:
+  model: all-MiniLM-L6-v2
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
+      "input": "Your text string goes here",
+      "model": "text-embedding-ada-002"
+    }'

aio/gpu-8g/image-gen.yaml

@@ -0,0 +1,25 @@
+name: stablediffusion
+parameters:
+  model: DreamShaper_8_pruned.safetensors
+backend: diffusers
+step: 25
+f16: true
+
+diffusers:
+  pipeline_type: StableDiffusionPipeline
+  cuda: true
+  enable_parameters: "negative_prompt,num_inference_steps"
+  scheduler_type: "k_dpmpp_2m"
+
+download_files:
+- filename: DreamShaper_8_pruned.safetensors
+  uri: huggingface://Lykon/DreamShaper/DreamShaper_8_pruned.safetensors
+
+usage: |
+        curl http://localhost:8080/v1/images/generations \
+          -H "Content-Type: application/json" \
+          -d '{
+            "prompt": "<positive prompt>|<negative prompt>",
+            "step": 25,
+            "size": "512x512"
+          }'

aio/gpu-8g/rerank.yaml

@@ -0,0 +1,27 @@
+name: jina-reranker-v1-base-en
+backend: rerankers
+parameters:
+  model: cross-encoder
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/v1/rerank \
+      -H "Content-Type: application/json" \
+      -d '{
+      "model": "jina-reranker-v1-base-en",
+      "query": "Organic skincare products for sensitive skin",
+      "documents": [
+        "Eco-friendly kitchenware for modern homes",
+        "Biodegradable cleaning supplies for eco-conscious consumers",
+        "Organic cotton baby clothes for sensitive skin",
+        "Natural organic skincare range for sensitive skin",
+        "Tech gadgets for smart homes: 2024 edition",
+        "Sustainable gardening tools and compost solutions",
+        "Sensitive skin-friendly facial cleansers and toners",
+        "Organic food wraps and storage solutions",
+        "All-natural pet food for dogs with allergies",
+        "Yoga mats made from recycled materials"
+      ],
+      "top_n": 3
+    }'

aio/gpu-8g/speech-to-text.yaml

@@ -0,0 +1,18 @@
+name: whisper-1
+backend: whisper
+parameters:
+  model: ggml-whisper-base.bin
+
+usage: |
+    ## example audio file
+    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
+
+    ## Send the example audio file to the transcriptions endpoint
+    curl http://localhost:8080/v1/audio/transcriptions \
+         -H "Content-Type: multipart/form-data" \
+         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
+
+download_files:
+- filename: "ggml-whisper-base.bin"
+  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
+  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/gpu-8g/text-to-speech.yaml

@@ -0,0 +1,15 @@
+name: tts-1
+download_files:
+  - filename: voice-en-us-amy-low.tar.gz
+    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
+
+parameters:
+  model: en-us-amy-low.onnx
+
+usage: |
+    To test if this model works as expected, you can use the following curl command:
+
+    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
+      "model":"tts-1",
+      "input": "Hi, this is a test."
+    }'

aio/gpu-8g/text-to-text.yaml

@@ -0,0 +1,101 @@
+name: gpt-4
+mmap: true
+parameters:
+  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
+context_size: 8192
+
+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+
+template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
+    {{- if .FunctionCall }}
+    <tool_call>
+    {{- else if eq .RoleName "tool" }}
+    <tool_response>
+    {{- end }}
+    {{- if .Content}}
+    {{.Content }}
+    {{- end }}
+    {{- if .FunctionCall}}
+    {{toJson .FunctionCall}}
+    {{- end }}
+    {{- if .FunctionCall }}
+    </tool_call>
+    {{- else if eq .RoleName "tool" }}
+    </tool_response>
+    {{- end }}<|im_end|>
+  completion: |
+    {{.Input}}
+  function: |-
+    <|im_start|>system
+    You are a function calling AI model.
+    Here are the available tools:
+    <tools>
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    </tools>
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
+    <tool_call>
+    {"arguments": <args-dict>, "name": <function-name>}
+    </tool_call><|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant

aio/gpu-8g/vision.yaml

@@ -0,0 +1,35 @@
+backend: llama-cpp
+context_size: 4096
+f16: true
+mmap: true
+name: gpt-4-vision-preview
+
+roles:
+  user: "USER:"
+  assistant: "ASSISTANT:"
+  system: "SYSTEM:"
+
+mmproj: llava-v1.6-7b-mmproj-f16.gguf
+parameters:
+  model: llava-v1.6-mistral-7b.Q5_K_M.gguf
+  temperature: 0.2
+  top_k: 40
+  top_p: 0.95
+  seed: -1
+
+template:
+  chat: |
+    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input}}
+    ASSISTANT:
+
+download_files:
+- filename: llava-v1.6-mistral-7b.Q5_K_M.gguf
+  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/llava-v1.6-mistral-7b.Q5_K_M.gguf
+- filename: llava-v1.6-7b-mmproj-f16.gguf
+  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/mmproj-model-f16.gguf
+
+usage: |
+    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
+        "model": "gpt-4-vision-preview",
+        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

aio/intel/embeddings.yaml

@@ -0,0 +1,12 @@
+name: text-embedding-ada-002
+backend: sentencetransformers
+parameters:
+  model: all-MiniLM-L6-v2
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
+      "input": "Your text string goes here",
+      "model": "text-embedding-ada-002"
+    }'

aio/intel/image-gen.yaml

@@ -0,0 +1,20 @@
+name: stablediffusion
+parameters:
+  model: runwayml/stable-diffusion-v1-5
+backend: diffusers
+step: 25
+f16: true
+diffusers:
+  pipeline_type: StableDiffusionPipeline
+  cuda: true
+  enable_parameters: "negative_prompt,num_inference_steps"
+  scheduler_type: "k_dpmpp_2m"
+
+usage: |
+        curl http://localhost:8080/v1/images/generations \
+          -H "Content-Type: application/json" \
+          -d '{
+            "prompt": "<positive prompt>|<negative prompt>",
+            "step": 25,
+            "size": "512x512"
+          }'

aio/intel/rerank.yaml

@@ -0,0 +1,27 @@
+name: jina-reranker-v1-base-en
+backend: rerankers
+parameters:
+  model: cross-encoder
+
+usage: |
+    You can test this model with curl like this:
+
+    curl http://localhost:8080/v1/rerank \
+      -H "Content-Type: application/json" \
+      -d '{
+      "model": "jina-reranker-v1-base-en",
+      "query": "Organic skincare products for sensitive skin",
+      "documents": [
+        "Eco-friendly kitchenware for modern homes",
+        "Biodegradable cleaning supplies for eco-conscious consumers",
+        "Organic cotton baby clothes for sensitive skin",
+        "Natural organic skincare range for sensitive skin",
+        "Tech gadgets for smart homes: 2024 edition",
+        "Sustainable gardening tools and compost solutions",
+        "Sensitive skin-friendly facial cleansers and toners",
+        "Organic food wraps and storage solutions",
+        "All-natural pet food for dogs with allergies",
+        "Yoga mats made from recycled materials"
+      ],
+      "top_n": 3
+    }'

aio/intel/speech-to-text.yaml

@@ -0,0 +1,18 @@
+name: whisper-1
+backend: whisper
+parameters:
+  model: ggml-whisper-base.bin
+
+usage: |
+    ## example audio file
+    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
+
+    ## Send the example audio file to the transcriptions endpoint
+    curl http://localhost:8080/v1/audio/transcriptions \
+         -H "Content-Type: multipart/form-data" \
+         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
+
+download_files:
+- filename: "ggml-whisper-base.bin"
+  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
+  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/intel/text-to-speech.yaml

@@ -0,0 +1,15 @@
+name: tts-1
+download_files:
+  - filename: voice-en-us-amy-low.tar.gz
+    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
+
+parameters:
+  model: en-us-amy-low.onnx
+
+usage: |
+    To test if this model works as expected, you can use the following curl command:
+
+    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
+      "model":"tts-1",
+      "input": "Hi, this is a test."
+    }'

aio/intel/text-to-text.yaml

@@ -0,0 +1,103 @@
+name: gpt-4
+mmap: false
+context_size: 8192
+
+f16: false
+parameters:
+  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
+
+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+
+template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
+    {{- if .FunctionCall }}
+    <tool_call>
+    {{- else if eq .RoleName "tool" }}
+    <tool_response>
+    {{- end }}
+    {{- if .Content}}
+    {{.Content }}
+    {{- end }}
+    {{- if .FunctionCall}}
+    {{toJson .FunctionCall}}
+    {{- end }}
+    {{- if .FunctionCall }}
+    </tool_call>
+    {{- else if eq .RoleName "tool" }}
+    </tool_response>
+    {{- end }}<|im_end|>
+  completion: |
+    {{.Input}}
+  function: |-
+    <|im_start|>system
+    You are a function calling AI model.
+    Here are the available tools:
+    <tools>
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    </tools>
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
+    <tool_call>
+    {"arguments": <args-dict>, "name": <function-name>}
+    </tool_call><|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant

aio/intel/vision.yaml

@@ -0,0 +1,35 @@
+backend: llama-cpp
+context_size: 4096
+mmap: false
+f16: false
+name: gpt-4-vision-preview
+
+roles:
+  user: "USER:"
+  assistant: "ASSISTANT:"
+  system: "SYSTEM:"
+
+mmproj: llava-v1.6-7b-mmproj-f16.gguf
+parameters:
+  model: llava-v1.6-mistral-7b.Q5_K_M.gguf
+  temperature: 0.2
+  top_k: 40
+  top_p: 0.95
+  seed: -1
+
+template:
+  chat: |
+    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input}}
+    ASSISTANT:
+
+download_files:
+- filename: llava-v1.6-mistral-7b.Q5_K_M.gguf
+  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/llava-v1.6-mistral-7b.Q5_K_M.gguf
+- filename: llava-v1.6-7b-mmproj-f16.gguf
+  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/mmproj-model-f16.gguf
+
+usage: |
+    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
+        "model": "gpt-4-vision-preview",
+        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

api/api.go

@@ -1,288 +0,0 @@
-package api
-
-import (
-	"encoding/json"
-	"errors"
-	"fmt"
-	"os"
-	"strings"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/localai"
-	"github.com/go-skynet/LocalAI/api/openai"
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/api/schema"
-	"github.com/go-skynet/LocalAI/internal"
-	"github.com/go-skynet/LocalAI/metrics"
-	"github.com/go-skynet/LocalAI/pkg/assets"
-	"github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/go-skynet/LocalAI/pkg/startup"
-
-	"github.com/gofiber/fiber/v2"
-	"github.com/gofiber/fiber/v2/middleware/cors"
-	"github.com/gofiber/fiber/v2/middleware/logger"
-	"github.com/gofiber/fiber/v2/middleware/recover"
-	"github.com/rs/zerolog"
-	"github.com/rs/zerolog/log"
-)
-
-func Startup(opts ...options.AppOption) (*options.Option, *config.ConfigLoader, error) {
-	options := options.NewOptions(opts...)
-
-	zerolog.SetGlobalLevel(zerolog.InfoLevel)
-	if options.Debug {
-		zerolog.SetGlobalLevel(zerolog.DebugLevel)
-	}
-
-	log.Info().Msgf("Starting LocalAI using %d threads, with models path: %s", options.Threads, options.Loader.ModelPath)
-	log.Info().Msgf("LocalAI version: %s", internal.PrintableVersion())
-
-	startup.PreloadModelsConfigurations(options.ModelLibraryURL, options.Loader.ModelPath, options.ModelsURL...)
-
-	cl := config.NewConfigLoader()
-	if err := cl.LoadConfigs(options.Loader.ModelPath); err != nil {
-		log.Error().Msgf("error loading config files: %s", err.Error())
-	}
-
-	if options.ConfigFile != "" {
-		if err := cl.LoadConfigFile(options.ConfigFile); err != nil {
-			log.Error().Msgf("error loading config file: %s", err.Error())
-		}
-	}
-
-	if err := cl.Preload(options.Loader.ModelPath); err != nil {
-		log.Error().Msgf("error downloading models: %s", err.Error())
-	}
-
-	if options.PreloadJSONModels != "" {
-		if err := localai.ApplyGalleryFromString(options.Loader.ModelPath, options.PreloadJSONModels, cl, options.Galleries); err != nil {
-			return nil, nil, err
-		}
-	}
-
-	if options.PreloadModelsFromPath != "" {
-		if err := localai.ApplyGalleryFromFile(options.Loader.ModelPath, options.PreloadModelsFromPath, cl, options.Galleries); err != nil {
-			return nil, nil, err
-		}
-	}
-
-	if options.Debug {
-		for _, v := range cl.ListConfigs() {
-			cfg, _ := cl.GetConfig(v)
-			log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
-		}
-	}
-
-	if options.AssetsDestination != "" {
-		// Extract files from the embedded FS
-		err := assets.ExtractFiles(options.BackendAssets, options.AssetsDestination)
-		log.Debug().Msgf("Extracting backend assets files to %s", options.AssetsDestination)
-		if err != nil {
-			log.Warn().Msgf("Failed extracting backend assets files: %s (might be required for some backends to work properly, like gpt4all)", err)
-		}
-	}
-
-	// turn off any process that was started by GRPC if the context is canceled
-	go func() {
-		<-options.Context.Done()
-		log.Debug().Msgf("Context canceled, shutting down")
-		options.Loader.StopAllGRPC()
-	}()
-
-	if options.WatchDog {
-		wd := model.NewWatchDog(
-			options.Loader,
-			options.WatchDogBusyTimeout,
-			options.WatchDogIdleTimeout,
-			options.WatchDogBusy,
-			options.WatchDogIdle)
-		options.Loader.SetWatchDog(wd)
-		go wd.Run()
-		go func() {
-			<-options.Context.Done()
-			log.Debug().Msgf("Context canceled, shutting down")
-			wd.Shutdown()
-		}()
-	}
-
-	return options, cl, nil
-}
-
-func App(opts ...options.AppOption) (*fiber.App, error) {
-
-	options, cl, err := Startup(opts...)
-	if err != nil {
-		return nil, fmt.Errorf("failed basic startup tasks with error %s", err.Error())
-	}
-
-	// Return errors as JSON responses
-	app := fiber.New(fiber.Config{
-		BodyLimit:             options.UploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
-		DisableStartupMessage: options.DisableMessage,
-		// Override default error handler
-		ErrorHandler: func(ctx *fiber.Ctx, err error) error {
-			// Status code defaults to 500
-			code := fiber.StatusInternalServerError
-
-			// Retrieve the custom status code if it's a *fiber.Error
-			var e *fiber.Error
-			if errors.As(err, &e) {
-				code = e.Code
-			}
-
-			// Send custom error page
-			return ctx.Status(code).JSON(
-				schema.ErrorResponse{
-					Error: &schema.APIError{Message: err.Error(), Code: code},
-				},
-			)
-		},
-	})
-
-	if options.Debug {
-		app.Use(logger.New(logger.Config{
-			Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
-		}))
-	}
-
-	// Default middleware config
-	app.Use(recover.New())
-	if options.Metrics != nil {
-		app.Use(metrics.APIMiddleware(options.Metrics))
-	}
-
-	// Auth middleware checking if API key is valid. If no API key is set, no auth is required.
-	auth := func(c *fiber.Ctx) error {
-		if len(options.ApiKeys) == 0 {
-			return c.Next()
-		}
-
-		// Check for api_keys.json file
-		fileContent, err := os.ReadFile("api_keys.json")
-		if err == nil {
-			// Parse JSON content from the file
-			var fileKeys []string
-			err := json.Unmarshal(fileContent, &fileKeys)
-			if err != nil {
-				return c.Status(fiber.StatusInternalServerError).JSON(fiber.Map{"message": "Error parsing api_keys.json"})
-			}
-
-			// Add file keys to options.ApiKeys
-			options.ApiKeys = append(options.ApiKeys, fileKeys...)
-		}
-
-		if len(options.ApiKeys) == 0 {
-			return c.Next()
-		}
-
-		authHeader := c.Get("Authorization")
-		if authHeader == "" {
-			return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Authorization header missing"})
-		}
-		authHeaderParts := strings.Split(authHeader, " ")
-		if len(authHeaderParts) != 2 || authHeaderParts[0] != "Bearer" {
-			return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid Authorization header format"})
-		}
-
-		apiKey := authHeaderParts[1]
-		for _, key := range options.ApiKeys {
-			if apiKey == key {
-				return c.Next()
-			}
-		}
-
-		return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid API key"})
-
-	}
-
-	if options.CORS {
-		var c func(ctx *fiber.Ctx) error
-		if options.CORSAllowOrigins == "" {
-			c = cors.New()
-		} else {
-			c = cors.New(cors.Config{AllowOrigins: options.CORSAllowOrigins})
-		}
-
-		app.Use(c)
-	}
-
-	// LocalAI API endpoints
-	galleryService := localai.NewGalleryService(options.Loader.ModelPath)
-	galleryService.Start(options.Context, cl)
-
-	app.Get("/version", auth, func(c *fiber.Ctx) error {
-		return c.JSON(struct {
-			Version string `json:"version"`
-		}{Version: internal.PrintableVersion()})
-	})
-
-	// Make sure directories exists
-	os.MkdirAll(options.ImageDir, 0755)
-	os.MkdirAll(options.AudioDir, 0755)
-	os.MkdirAll(options.Loader.ModelPath, 0755)
-
-	modelGalleryService := localai.CreateModelGalleryService(options.Galleries, options.Loader.ModelPath, galleryService)
-	app.Post("/models/apply", auth, modelGalleryService.ApplyModelGalleryEndpoint())
-	app.Get("/models/available", auth, modelGalleryService.ListModelFromGalleryEndpoint())
-	app.Get("/models/galleries", auth, modelGalleryService.ListModelGalleriesEndpoint())
-	app.Post("/models/galleries", auth, modelGalleryService.AddModelGalleryEndpoint())
-	app.Delete("/models/galleries", auth, modelGalleryService.RemoveModelGalleryEndpoint())
-	app.Get("/models/jobs/:uuid", auth, modelGalleryService.GetOpStatusEndpoint())
-	app.Get("/models/jobs", auth, modelGalleryService.GetAllStatusEndpoint())
-
-	// openAI compatible API endpoint
-
-	// chat
-	app.Post("/v1/chat/completions", auth, openai.ChatEndpoint(cl, options))
-	app.Post("/chat/completions", auth, openai.ChatEndpoint(cl, options))
-
-	// edit
-	app.Post("/v1/edits", auth, openai.EditEndpoint(cl, options))
-	app.Post("/edits", auth, openai.EditEndpoint(cl, options))
-
-	// completion
-	app.Post("/v1/completions", auth, openai.CompletionEndpoint(cl, options))
-	app.Post("/completions", auth, openai.CompletionEndpoint(cl, options))
-	app.Post("/v1/engines/:model/completions", auth, openai.CompletionEndpoint(cl, options))
-
-	// embeddings
-	app.Post("/v1/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
-	app.Post("/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
-	app.Post("/v1/engines/:model/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
-
-	// audio
-	app.Post("/v1/audio/transcriptions", auth, openai.TranscriptEndpoint(cl, options))
-	app.Post("/tts", auth, localai.TTSEndpoint(cl, options))
-
-	// images
-	app.Post("/v1/images/generations", auth, openai.ImageEndpoint(cl, options))
-
-	if options.ImageDir != "" {
-		app.Static("/generated-images", options.ImageDir)
-	}
-
-	if options.AudioDir != "" {
-		app.Static("/generated-audio", options.AudioDir)
-	}
-
-	ok := func(c *fiber.Ctx) error {
-		return c.SendStatus(200)
-	}
-
-	// Kubernetes health checks
-	app.Get("/healthz", ok)
-	app.Get("/readyz", ok)
-
-	// Experimental Backend Statistics Module
-	backendMonitor := localai.NewBackendMonitor(cl, options) // Split out for now
-	app.Get("/backend/monitor", localai.BackendMonitorEndpoint(backendMonitor))
-	app.Post("/backend/shutdown", localai.BackendShutdownEndpoint(backendMonitor))
-
-	// models
-	app.Get("/v1/models", auth, openai.ListModelsEndpoint(options.Loader, cl))
-	app.Get("/models", auth, openai.ListModelsEndpoint(options.Loader, cl))
-
-	app.Get("/metrics", metrics.MetricsHandler())
-
-	return app, nil
-}

api/backend/image.go

@@ -1,61 +0,0 @@
-package backend
-
-import (
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-)
-
-func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, src, dst string, loader *model.ModelLoader, c config.Config, o *options.Option) (func() error, error) {
-
-	opts := modelOpts(c, o, []model.Option{
-		model.WithBackendString(c.Backend),
-		model.WithAssetDir(o.AssetsDestination),
-		model.WithThreads(uint32(c.Threads)),
-		model.WithContext(o.Context),
-		model.WithModel(c.Model),
-		model.WithLoadGRPCLoadModelOpts(&proto.ModelOptions{
-			CUDA:          c.CUDA || c.Diffusers.CUDA,
-			SchedulerType: c.Diffusers.SchedulerType,
-			PipelineType:  c.Diffusers.PipelineType,
-			CFGScale:      c.Diffusers.CFGScale,
-			LoraAdapter:   c.LoraAdapter,
-			LoraScale:     c.LoraScale,
-			LoraBase:      c.LoraBase,
-			IMG2IMG:       c.Diffusers.IMG2IMG,
-			CLIPModel:     c.Diffusers.ClipModel,
-			CLIPSubfolder: c.Diffusers.ClipSubFolder,
-			CLIPSkip:      int32(c.Diffusers.ClipSkip),
-			ControlNet:    c.Diffusers.ControlNet,
-		}),
-	})
-
-	inferenceModel, err := loader.BackendLoader(
-		opts...,
-	)
-	if err != nil {
-		return nil, err
-	}
-
-	fn := func() error {
-		_, err := inferenceModel.GenerateImage(
-			o.Context,
-			&proto.GenerateImageRequest{
-				Height:           int32(height),
-				Width:            int32(width),
-				Mode:             int32(mode),
-				Step:             int32(step),
-				Seed:             int32(seed),
-				CLIPSkip:         int32(c.Diffusers.ClipSkip),
-				PositivePrompt:   positive_prompt,
-				NegativePrompt:   negative_prompt,
-				Dst:              dst,
-				Src:              src,
-				EnableParameters: c.Diffusers.EnableParameters,
-			})
-		return err
-	}
-
-	return fn, nil
-}

api/backend/options.go

@@ -1,129 +0,0 @@
-package backend
-
-import (
-	"os"
-	"path/filepath"
-
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/options"
-)
-
-func modelOpts(c config.Config, o *options.Option, opts []model.Option) []model.Option {
-	if o.SingleBackend {
-		opts = append(opts, model.WithSingleActiveBackend())
-	}
-
-	if o.ParallelBackendRequests {
-		opts = append(opts, model.EnableParallelRequests)
-	}
-
-	if c.GRPC.Attempts != 0 {
-		opts = append(opts, model.WithGRPCAttempts(c.GRPC.Attempts))
-	}
-
-	if c.GRPC.AttemptsSleepTime != 0 {
-		opts = append(opts, model.WithGRPCAttemptsDelay(c.GRPC.AttemptsSleepTime))
-	}
-
-	for k, v := range o.ExternalGRPCBackends {
-		opts = append(opts, model.WithExternalBackend(k, v))
-	}
-
-	return opts
-}
-
-func gRPCModelOpts(c config.Config) *pb.ModelOptions {
-	b := 512
-	if c.Batch != 0 {
-		b = c.Batch
-	}
-
-	return &pb.ModelOptions{
-		ContextSize:    int32(c.ContextSize),
-		Seed:           int32(c.Seed),
-		NBatch:         int32(b),
-		NoMulMatQ:      c.NoMulMatQ,
-		CUDA:           c.CUDA, // diffusers, transformers
-		DraftModel:     c.DraftModel,
-		AudioPath:      c.VallE.AudioPath,
-		Quantization:   c.Quantization,
-		MMProj:         c.MMProj,
-		YarnExtFactor:  c.YarnExtFactor,
-		YarnAttnFactor: c.YarnAttnFactor,
-		YarnBetaFast:   c.YarnBetaFast,
-		YarnBetaSlow:   c.YarnBetaSlow,
-		LoraAdapter:    c.LoraAdapter,
-		LoraBase:       c.LoraBase,
-		LoraScale:      c.LoraScale,
-		NGQA:           c.NGQA,
-		RMSNormEps:     c.RMSNormEps,
-		F16Memory:      c.F16,
-		MLock:          c.MMlock,
-		RopeFreqBase:   c.RopeFreqBase,
-		RopeScaling:    c.RopeScaling,
-		Type:           c.ModelType,
-		RopeFreqScale:  c.RopeFreqScale,
-		NUMA:           c.NUMA,
-		Embeddings:     c.Embeddings,
-		LowVRAM:        c.LowVRAM,
-		NGPULayers:     int32(c.NGPULayers),
-		MMap:           c.MMap,
-		MainGPU:        c.MainGPU,
-		Threads:        int32(c.Threads),
-		TensorSplit:    c.TensorSplit,
-		// AutoGPTQ
-		ModelBaseName:    c.AutoGPTQ.ModelBaseName,
-		Device:           c.AutoGPTQ.Device,
-		UseTriton:        c.AutoGPTQ.Triton,
-		UseFastTokenizer: c.AutoGPTQ.UseFastTokenizer,
-		// RWKV
-		Tokenizer: c.Tokenizer,
-	}
-}
-
-func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions {
-	promptCachePath := ""
-	if c.PromptCachePath != "" {
-		p := filepath.Join(modelPath, c.PromptCachePath)
-		os.MkdirAll(filepath.Dir(p), 0755)
-		promptCachePath = p
-	}
-	return &pb.PredictOptions{
-		Temperature:         float32(c.Temperature),
-		TopP:                float32(c.TopP),
-		NDraft:              c.NDraft,
-		TopK:                int32(c.TopK),
-		Tokens:              int32(c.Maxtokens),
-		Threads:             int32(c.Threads),
-		PromptCacheAll:      c.PromptCacheAll,
-		PromptCacheRO:       c.PromptCacheRO,
-		PromptCachePath:     promptCachePath,
-		F16KV:               c.F16,
-		DebugMode:           c.Debug,
-		Grammar:             c.Grammar,
-		NegativePromptScale: c.NegativePromptScale,
-		RopeFreqBase:        c.RopeFreqBase,
-		RopeFreqScale:       c.RopeFreqScale,
-		NegativePrompt:      c.NegativePrompt,
-		Mirostat:            int32(c.LLMConfig.Mirostat),
-		MirostatETA:         float32(c.LLMConfig.MirostatETA),
-		MirostatTAU:         float32(c.LLMConfig.MirostatTAU),
-		Debug:               c.Debug,
-		StopPrompts:         c.StopWords,
-		Repeat:              int32(c.RepeatPenalty),
-		NKeep:               int32(c.Keep),
-		Batch:               int32(c.Batch),
-		IgnoreEOS:           c.IgnoreEOS,
-		Seed:                int32(c.Seed),
-		FrequencyPenalty:    float32(c.FrequencyPenalty),
-		MLock:               c.MMlock,
-		MMap:                c.MMap,
-		MainGPU:             c.MainGPU,
-		TensorSplit:         c.TensorSplit,
-		TailFreeSamplingZ:   float32(c.TFZ),
-		TypicalP:            float32(c.TypicalP),
-	}
-}

api/backend/transcript.go

@@ -1,39 +0,0 @@
-package backend
-
-import (
-	"context"
-	"fmt"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/schema"
-
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-)
-
-func ModelTranscription(audio, language string, loader *model.ModelLoader, c config.Config, o *options.Option) (*schema.Result, error) {
-
-	opts := modelOpts(c, o, []model.Option{
-		model.WithBackendString(model.WhisperBackend),
-		model.WithModel(c.Model),
-		model.WithContext(o.Context),
-		model.WithThreads(uint32(c.Threads)),
-		model.WithAssetDir(o.AssetsDestination),
-	})
-
-	whisperModel, err := o.Loader.BackendLoader(opts...)
-	if err != nil {
-		return nil, err
-	}
-
-	if whisperModel == nil {
-		return nil, fmt.Errorf("could not load whisper model")
-	}
-
-	return whisperModel.AudioTranscription(context.Background(), &proto.TranscriptRequest{
-		Dst:      audio,
-		Language: language,
-		Threads:  uint32(c.Threads),
-	})
-}

api/backend/tts.go

@@ -1,84 +0,0 @@
-package backend
-
-import (
-	"context"
-	"fmt"
-	"os"
-	"path/filepath"
-
-	api_config "github.com/go-skynet/LocalAI/api/config"
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/go-skynet/LocalAI/pkg/utils"
-)
-
-func generateUniqueFileName(dir, baseName, ext string) string {
-	counter := 1
-	fileName := baseName + ext
-
-	for {
-		filePath := filepath.Join(dir, fileName)
-		_, err := os.Stat(filePath)
-		if os.IsNotExist(err) {
-			return fileName
-		}
-
-		counter++
-		fileName = fmt.Sprintf("%s_%d%s", baseName, counter, ext)
-	}
-}
-
-func ModelTTS(backend, text, modelFile string, loader *model.ModelLoader, o *options.Option, c config.Config) (string, *proto.Result, error) {
-	bb := backend
-	if bb == "" {
-		bb = model.PiperBackend
-	}
-
-	grpcOpts := gRPCModelOpts(c)
-
-	opts := modelOpts(api_config.Config{}, o, []model.Option{
-		model.WithBackendString(bb),
-		model.WithModel(modelFile),
-		model.WithContext(o.Context),
-		model.WithAssetDir(o.AssetsDestination),
-		model.WithLoadGRPCLoadModelOpts(grpcOpts),
-	})
-	piperModel, err := o.Loader.BackendLoader(opts...)
-	if err != nil {
-		return "", nil, err
-	}
-
-	if piperModel == nil {
-		return "", nil, fmt.Errorf("could not load piper model")
-	}
-
-	if err := os.MkdirAll(o.AudioDir, 0755); err != nil {
-		return "", nil, fmt.Errorf("failed creating audio directory: %s", err)
-	}
-
-	fileName := generateUniqueFileName(o.AudioDir, "piper", ".wav")
-	filePath := filepath.Join(o.AudioDir, fileName)
-
-	// If the model file is not empty, we pass it joined with the model path
-	modelPath := ""
-	if modelFile != "" {
-		if bb != model.TransformersMusicGen {
-			modelPath = filepath.Join(o.Loader.ModelPath, modelFile)
-			if err := utils.VerifyPath(modelPath, o.Loader.ModelPath); err != nil {
-				return "", nil, err
-			}
-		} else {
-			modelPath = modelFile
-		}
-	}
-
-	res, err := piperModel.TTS(context.Background(), &proto.TTSRequest{
-		Text:  text,
-		Model: modelPath,
-		Dst:   filePath,
-	})
-
-	return filePath, res, err
-}

api/config/config.go

@@ -1,428 +0,0 @@
-package api_config
-
-import (
-	"errors"
-	"fmt"
-	"io/fs"
-	"os"
-	"path/filepath"
-	"strings"
-	"sync"
-
-	"github.com/go-skynet/LocalAI/pkg/downloader"
-	"github.com/go-skynet/LocalAI/pkg/utils"
-	"github.com/rs/zerolog/log"
-	"gopkg.in/yaml.v3"
-)
-
-type Config struct {
-	PredictionOptions `yaml:"parameters"`
-	Name              string `yaml:"name"`
-
-	F16            bool              `yaml:"f16"`
-	Threads        int               `yaml:"threads"`
-	Debug          bool              `yaml:"debug"`
-	Roles          map[string]string `yaml:"roles"`
-	Embeddings     bool              `yaml:"embeddings"`
-	Backend        string            `yaml:"backend"`
-	TemplateConfig TemplateConfig    `yaml:"template"`
-
-	PromptStrings, InputStrings                []string `yaml:"-"`
-	InputToken                                 [][]int  `yaml:"-"`
-	functionCallString, functionCallNameString string   `yaml:"-"`
-
-	FunctionsConfig Functions `yaml:"function"`
-
-	FeatureFlag FeatureFlag `yaml:"feature_flags"` // Feature Flag registry. We move fast, and features may break on a per model/backend basis. Registry for (usually temporary) flags that indicate aborting something early.
-	// LLM configs (GPT4ALL, Llama.cpp, ...)
-	LLMConfig `yaml:",inline"`
-
-	// AutoGPTQ specifics
-	AutoGPTQ AutoGPTQ `yaml:"autogptq"`
-
-	// Diffusers
-	Diffusers Diffusers `yaml:"diffusers"`
-	Step      int       `yaml:"step"`
-
-	// GRPC Options
-	GRPC GRPC `yaml:"grpc"`
-
-	// Vall-e-x
-	VallE VallE `yaml:"vall-e"`
-
-	// CUDA
-	// Explicitly enable CUDA or not (some backends might need it)
-	CUDA bool `yaml:"cuda"`
-
-	DownloadFiles []File `yaml:"download_files"`
-
-	Description string `yaml:"description"`
-	Usage       string `yaml:"usage"`
-}
-
-type File struct {
-	Filename string `yaml:"filename" json:"filename"`
-	SHA256   string `yaml:"sha256" json:"sha256"`
-	URI      string `yaml:"uri" json:"uri"`
-}
-
-type VallE struct {
-	AudioPath string `yaml:"audio_path"`
-}
-
-type FeatureFlag map[string]*bool
-
-func (ff FeatureFlag) Enabled(s string) bool {
-	v, exist := ff[s]
-	return exist && v != nil && *v
-}
-
-type GRPC struct {
-	Attempts          int `yaml:"attempts"`
-	AttemptsSleepTime int `yaml:"attempts_sleep_time"`
-}
-
-type Diffusers struct {
-	CUDA             bool    `yaml:"cuda"`
-	PipelineType     string  `yaml:"pipeline_type"`
-	SchedulerType    string  `yaml:"scheduler_type"`
-	EnableParameters string  `yaml:"enable_parameters"` // A list of comma separated parameters to specify
-	CFGScale         float32 `yaml:"cfg_scale"`         // Classifier-Free Guidance Scale
-	IMG2IMG          bool    `yaml:"img2img"`           // Image to Image Diffuser
-	ClipSkip         int     `yaml:"clip_skip"`         // Skip every N frames
-	ClipModel        string  `yaml:"clip_model"`        // Clip model to use
-	ClipSubFolder    string  `yaml:"clip_subfolder"`    // Subfolder to use for clip model
-	ControlNet       string  `yaml:"control_net"`
-}
-
-type LLMConfig struct {
-	SystemPrompt    string   `yaml:"system_prompt"`
-	TensorSplit     string   `yaml:"tensor_split"`
-	MainGPU         string   `yaml:"main_gpu"`
-	RMSNormEps      float32  `yaml:"rms_norm_eps"`
-	NGQA            int32    `yaml:"ngqa"`
-	PromptCachePath string   `yaml:"prompt_cache_path"`
-	PromptCacheAll  bool     `yaml:"prompt_cache_all"`
-	PromptCacheRO   bool     `yaml:"prompt_cache_ro"`
-	MirostatETA     float64  `yaml:"mirostat_eta"`
-	MirostatTAU     float64  `yaml:"mirostat_tau"`
-	Mirostat        int      `yaml:"mirostat"`
-	NGPULayers      int      `yaml:"gpu_layers"`
-	MMap            bool     `yaml:"mmap"`
-	MMlock          bool     `yaml:"mmlock"`
-	LowVRAM         bool     `yaml:"low_vram"`
-	Grammar         string   `yaml:"grammar"`
-	StopWords       []string `yaml:"stopwords"`
-	Cutstrings      []string `yaml:"cutstrings"`
-	TrimSpace       []string `yaml:"trimspace"`
-	TrimSuffix      []string `yaml:"trimsuffix"`
-
-	ContextSize  int     `yaml:"context_size"`
-	NUMA         bool    `yaml:"numa"`
-	LoraAdapter  string  `yaml:"lora_adapter"`
-	LoraBase     string  `yaml:"lora_base"`
-	LoraScale    float32 `yaml:"lora_scale"`
-	NoMulMatQ    bool    `yaml:"no_mulmatq"`
-	DraftModel   string  `yaml:"draft_model"`
-	NDraft       int32   `yaml:"n_draft"`
-	Quantization string  `yaml:"quantization"`
-	MMProj       string  `yaml:"mmproj"`
-
-	RopeScaling string `yaml:"rope_scaling"`
-	ModelType   string `yaml:"type"`
-
-	YarnExtFactor  float32 `yaml:"yarn_ext_factor"`
-	YarnAttnFactor float32 `yaml:"yarn_attn_factor"`
-	YarnBetaFast   float32 `yaml:"yarn_beta_fast"`
-	YarnBetaSlow   float32 `yaml:"yarn_beta_slow"`
-}
-
-type AutoGPTQ struct {
-	ModelBaseName    string `yaml:"model_base_name"`
-	Device           string `yaml:"device"`
-	Triton           bool   `yaml:"triton"`
-	UseFastTokenizer bool   `yaml:"use_fast_tokenizer"`
-}
-
-type Functions struct {
-	DisableNoAction         bool   `yaml:"disable_no_action"`
-	NoActionFunctionName    string `yaml:"no_action_function_name"`
-	NoActionDescriptionName string `yaml:"no_action_description_name"`
-}
-
-type TemplateConfig struct {
-	Chat        string `yaml:"chat"`
-	ChatMessage string `yaml:"chat_message"`
-	Completion  string `yaml:"completion"`
-	Edit        string `yaml:"edit"`
-	Functions   string `yaml:"function"`
-}
-
-type ConfigLoader struct {
-	configs map[string]Config
-	sync.Mutex
-}
-
-func (c *Config) SetFunctionCallString(s string) {
-	c.functionCallString = s
-}
-
-func (c *Config) SetFunctionCallNameString(s string) {
-	c.functionCallNameString = s
-}
-
-func (c *Config) ShouldUseFunctions() bool {
-	return ((c.functionCallString != "none" || c.functionCallString == "") || c.ShouldCallSpecificFunction())
-}
-
-func (c *Config) ShouldCallSpecificFunction() bool {
-	return len(c.functionCallNameString) > 0
-}
-
-func (c *Config) FunctionToCall() string {
-	return c.functionCallNameString
-}
-
-// Load a config file for a model
-func Load(modelName, modelPath string, cm *ConfigLoader, debug bool, threads, ctx int, f16 bool) (*Config, error) {
-	// Load a config file if present after the model name
-	modelConfig := filepath.Join(modelPath, modelName+".yaml")
-
-	var cfg *Config
-
-	defaults := func() {
-		cfg = DefaultConfig(modelName)
-		cfg.ContextSize = ctx
-		cfg.Threads = threads
-		cfg.F16 = f16
-		cfg.Debug = debug
-	}
-
-	cfgExisting, exists := cm.GetConfig(modelName)
-	if !exists {
-		if _, err := os.Stat(modelConfig); err == nil {
-			if err := cm.LoadConfig(modelConfig); err != nil {
-				return nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
-			}
-			cfgExisting, exists = cm.GetConfig(modelName)
-			if exists {
-				cfg = &cfgExisting
-			} else {
-				defaults()
-			}
-		} else {
-			defaults()
-		}
-	} else {
-		cfg = &cfgExisting
-	}
-
-	// Set the parameters for the language model prediction
-	//updateConfig(cfg, input)
-
-	// Don't allow 0 as setting
-	if cfg.Threads == 0 {
-		if threads != 0 {
-			cfg.Threads = threads
-		} else {
-			cfg.Threads = 4
-		}
-	}
-
-	// Enforce debug flag if passed from CLI
-	if debug {
-		cfg.Debug = true
-	}
-
-	return cfg, nil
-}
-
-func defaultPredictOptions(modelFile string) PredictionOptions {
-	return PredictionOptions{
-		TopP:        0.7,
-		TopK:        80,
-		Maxtokens:   512,
-		Temperature: 0.9,
-		Model:       modelFile,
-	}
-}
-
-func DefaultConfig(modelFile string) *Config {
-	return &Config{
-		PredictionOptions: defaultPredictOptions(modelFile),
-	}
-}
-
-func NewConfigLoader() *ConfigLoader {
-	return &ConfigLoader{
-		configs: make(map[string]Config),
-	}
-}
-func ReadConfigFile(file string) ([]*Config, error) {
-	c := &[]*Config{}
-	f, err := os.ReadFile(file)
-	if err != nil {
-		return nil, fmt.Errorf("cannot read config file: %w", err)
-	}
-	if err := yaml.Unmarshal(f, c); err != nil {
-		return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
-	}
-
-	return *c, nil
-}
-
-func ReadConfig(file string) (*Config, error) {
-	c := &Config{}
-	f, err := os.ReadFile(file)
-	if err != nil {
-		return nil, fmt.Errorf("cannot read config file: %w", err)
-	}
-	if err := yaml.Unmarshal(f, c); err != nil {
-		return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
-	}
-
-	return c, nil
-}
-
-func (cm *ConfigLoader) LoadConfigFile(file string) error {
-	cm.Lock()
-	defer cm.Unlock()
-	c, err := ReadConfigFile(file)
-	if err != nil {
-		return fmt.Errorf("cannot load config file: %w", err)
-	}
-
-	for _, cc := range c {
-		cm.configs[cc.Name] = *cc
-	}
-	return nil
-}
-
-func (cm *ConfigLoader) LoadConfig(file string) error {
-	cm.Lock()
-	defer cm.Unlock()
-	c, err := ReadConfig(file)
-	if err != nil {
-		return fmt.Errorf("cannot read config file: %w", err)
-	}
-
-	cm.configs[c.Name] = *c
-	return nil
-}
-
-func (cm *ConfigLoader) GetConfig(m string) (Config, bool) {
-	cm.Lock()
-	defer cm.Unlock()
-	v, exists := cm.configs[m]
-	return v, exists
-}
-
-func (cm *ConfigLoader) GetAllConfigs() []Config {
-	cm.Lock()
-	defer cm.Unlock()
-	var res []Config
-	for _, v := range cm.configs {
-		res = append(res, v)
-	}
-	return res
-}
-
-func (cm *ConfigLoader) ListConfigs() []string {
-	cm.Lock()
-	defer cm.Unlock()
-	var res []string
-	for k := range cm.configs {
-		res = append(res, k)
-	}
-	return res
-}
-
-// Preload prepare models if they are not local but url or huggingface repositories
-func (cm *ConfigLoader) Preload(modelPath string) error {
-	cm.Lock()
-	defer cm.Unlock()
-
-	status := func(fileName, current, total string, percent float64) {
-		utils.DisplayDownloadFunction(fileName, current, total, percent)
-	}
-
-	log.Info().Msgf("Preloading models from %s", modelPath)
-
-	for i, config := range cm.configs {
-
-		// Download files and verify their SHA
-		for _, file := range config.DownloadFiles {
-			log.Debug().Msgf("Checking %q exists and matches SHA", file.Filename)
-
-			if err := utils.VerifyPath(file.Filename, modelPath); err != nil {
-				return err
-			}
-			// Create file path
-			filePath := filepath.Join(modelPath, file.Filename)
-
-			if err := downloader.DownloadFile(file.URI, filePath, file.SHA256, status); err != nil {
-				return err
-			}
-		}
-
-		modelURL := config.PredictionOptions.Model
-		modelURL = downloader.ConvertURL(modelURL)
-
-		if downloader.LooksLikeURL(modelURL) {
-			// md5 of model name
-			md5Name := utils.MD5(modelURL)
-
-			// check if file exists
-			if _, err := os.Stat(filepath.Join(modelPath, md5Name)); errors.Is(err, os.ErrNotExist) {
-				err := downloader.DownloadFile(modelURL, filepath.Join(modelPath, md5Name), "", status)
-				if err != nil {
-					return err
-				}
-			}
-
-			cc := cm.configs[i]
-			c := &cc
-			c.PredictionOptions.Model = md5Name
-			cm.configs[i] = *c
-		}
-		if cm.configs[i].Name != "" {
-			log.Info().Msgf("Model name: %s", cm.configs[i].Name)
-		}
-		if cm.configs[i].Description != "" {
-			log.Info().Msgf("Model description: %s", cm.configs[i].Description)
-		}
-		if cm.configs[i].Usage != "" {
-			log.Info().Msgf("Model usage: \n%s", cm.configs[i].Usage)
-		}
-	}
-	return nil
-}
-
-func (cm *ConfigLoader) LoadConfigs(path string) error {
-	cm.Lock()
-	defer cm.Unlock()
-	entries, err := os.ReadDir(path)
-	if err != nil {
-		return err
-	}
-	files := make([]fs.FileInfo, 0, len(entries))
-	for _, entry := range entries {
-		info, err := entry.Info()
-		if err != nil {
-			return err
-		}
-		files = append(files, info)
-	}
-	for _, file := range files {
-		// Skip templates, YAML and .keep files
-		if !strings.Contains(file.Name(), ".yaml") && !strings.Contains(file.Name(), ".yml") {
-			continue
-		}
-		c, err := ReadConfig(filepath.Join(path, file.Name()))
-		if err == nil {
-			cm.configs[c.Name] = *c
-		}
-	}
-
-	return nil
-}

api/config/config_test.go

@@ -1,56 +0,0 @@
-package api_config_test
-
-import (
-	"os"
-
-	. "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/pkg/model"
-	. "github.com/onsi/ginkgo/v2"
-	. "github.com/onsi/gomega"
-)
-
-var _ = Describe("Test cases for config related functions", func() {
-
-	var (
-		configFile string
-	)
-
-	Context("Test Read configuration functions", func() {
-		configFile = os.Getenv("CONFIG_FILE")
-		It("Test ReadConfigFile", func() {
-			config, err := ReadConfigFile(configFile)
-			Expect(err).To(BeNil())
-			Expect(config).ToNot(BeNil())
-			// two configs in config.yaml
-			Expect(config[0].Name).To(Equal("list1"))
-			Expect(config[1].Name).To(Equal("list2"))
-		})
-
-		It("Test LoadConfigs", func() {
-			cm := NewConfigLoader()
-			opts := options.NewOptions()
-			modelLoader := model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			options.WithModelLoader(modelLoader)(opts)
-
-			err := cm.LoadConfigs(opts.Loader.ModelPath)
-			Expect(err).To(BeNil())
-			Expect(cm.ListConfigs()).ToNot(BeNil())
-
-			// config should includes gpt4all models's api.config
-			Expect(cm.ListConfigs()).To(ContainElements("gpt4all"))
-
-			// config should includes gpt2 models's api.config
-			Expect(cm.ListConfigs()).To(ContainElements("gpt4all-2"))
-
-			// config should includes text-embedding-ada-002 models's api.config
-			Expect(cm.ListConfigs()).To(ContainElements("text-embedding-ada-002"))
-
-			// config should includes rwkv_test models's api.config
-			Expect(cm.ListConfigs()).To(ContainElements("rwkv_test"))
-
-			// config should includes whisper-1 models's api.config
-			Expect(cm.ListConfigs()).To(ContainElements("whisper-1"))
-		})
-	})
-})

api/localai/backend_monitor.go

@@ -1,162 +0,0 @@
-package localai
-
-import (
-	"context"
-	"fmt"
-	"strings"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/pkg/grpc/proto"
-
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/gofiber/fiber/v2"
-	"github.com/rs/zerolog/log"
-
-	gopsutil "github.com/shirou/gopsutil/v3/process"
-)
-
-type BackendMonitorRequest struct {
-	Model string `json:"model" yaml:"model"`
-}
-
-type BackendMonitorResponse struct {
-	MemoryInfo    *gopsutil.MemoryInfoStat
-	MemoryPercent float32
-	CPUPercent    float64
-}
-
-type BackendMonitor struct {
-	configLoader *config.ConfigLoader
-	options      *options.Option // Taking options in case we need to inspect ExternalGRPCBackends, though that's out of scope for now, hence the name.
-}
-
-func NewBackendMonitor(configLoader *config.ConfigLoader, options *options.Option) BackendMonitor {
-	return BackendMonitor{
-		configLoader: configLoader,
-		options:      options,
-	}
-}
-
-func (bm *BackendMonitor) SampleLocalBackendProcess(model string) (*BackendMonitorResponse, error) {
-	config, exists := bm.configLoader.GetConfig(model)
-	var backend string
-	if exists {
-		backend = config.Model
-	} else {
-		// Last ditch effort: use it raw, see if a backend happens to match.
-		backend = model
-	}
-
-	if !strings.HasSuffix(backend, ".bin") {
-		backend = fmt.Sprintf("%s.bin", backend)
-	}
-
-	pid, err := bm.options.Loader.GetGRPCPID(backend)
-
-	if err != nil {
-		log.Error().Msgf("model %s : failed to find pid %+v", model, err)
-		return nil, err
-	}
-
-	// Name is slightly frightening but this does _not_ create a new process, rather it looks up an existing process by PID.
-	backendProcess, err := gopsutil.NewProcess(int32(pid))
-
-	if err != nil {
-		log.Error().Msgf("model %s [PID %d] : error getting process info %+v", model, pid, err)
-		return nil, err
-	}
-
-	memInfo, err := backendProcess.MemoryInfo()
-
-	if err != nil {
-		log.Error().Msgf("model %s [PID %d] : error getting memory info %+v", model, pid, err)
-		return nil, err
-	}
-
-	memPercent, err := backendProcess.MemoryPercent()
-	if err != nil {
-		log.Error().Msgf("model %s [PID %d] : error getting memory percent %+v", model, pid, err)
-		return nil, err
-	}
-
-	cpuPercent, err := backendProcess.CPUPercent()
-	if err != nil {
-		log.Error().Msgf("model %s [PID %d] : error getting cpu percent %+v", model, pid, err)
-		return nil, err
-	}
-
-	return &BackendMonitorResponse{
-		MemoryInfo:    memInfo,
-		MemoryPercent: memPercent,
-		CPUPercent:    cpuPercent,
-	}, nil
-}
-
-func (bm BackendMonitor) getModelLoaderIDFromCtx(c *fiber.Ctx) (string, error) {
-	input := new(BackendMonitorRequest)
-	// Get input data from the request body
-	if err := c.BodyParser(input); err != nil {
-		return "", err
-	}
-
-	config, exists := bm.configLoader.GetConfig(input.Model)
-	var backendId string
-	if exists {
-		backendId = config.Model
-	} else {
-		// Last ditch effort: use it raw, see if a backend happens to match.
-		backendId = input.Model
-	}
-
-	if !strings.HasSuffix(backendId, ".bin") {
-		backendId = fmt.Sprintf("%s.bin", backendId)
-	}
-
-	return backendId, nil
-}
-
-func BackendMonitorEndpoint(bm BackendMonitor) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-
-		backendId, err := bm.getModelLoaderIDFromCtx(c)
-		if err != nil {
-			return err
-		}
-
-		model := bm.options.Loader.CheckIsLoaded(backendId)
-		if model == "" {
-			return fmt.Errorf("backend %s is not currently loaded", backendId)
-		}
-
-		status, rpcErr := model.GRPC(false, nil).Status(context.TODO())
-		if rpcErr != nil {
-			log.Warn().Msgf("backend %s experienced an error retrieving status info: %s", backendId, rpcErr.Error())
-			val, slbErr := bm.SampleLocalBackendProcess(backendId)
-			if slbErr != nil {
-				return fmt.Errorf("backend %s experienced an error retrieving status info via rpc: %s, then failed local node process sample: %s", backendId, rpcErr.Error(), slbErr.Error())
-			}
-			return c.JSON(proto.StatusResponse{
-				State: proto.StatusResponse_ERROR,
-				Memory: &proto.MemoryUsageData{
-					Total: val.MemoryInfo.VMS,
-					Breakdown: map[string]uint64{
-						"gopsutil-RSS": val.MemoryInfo.RSS,
-					},
-				},
-			})
-		}
-
-		return c.JSON(status)
-	}
-}
-
-func BackendShutdownEndpoint(bm BackendMonitor) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		backendId, err := bm.getModelLoaderIDFromCtx(c)
-		if err != nil {
-			return err
-		}
-
-		return bm.options.Loader.ShutdownModel(backendId)
-	}
-}

api/localai/gallery.go

@@ -1,326 +0,0 @@
-package localai
-
-import (
-	"context"
-	"fmt"
-	"os"
-	"slices"
-	"strings"
-	"sync"
-
-	json "github.com/json-iterator/go"
-	"gopkg.in/yaml.v3"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/pkg/gallery"
-	"github.com/go-skynet/LocalAI/pkg/utils"
-
-	"github.com/gofiber/fiber/v2"
-	"github.com/google/uuid"
-	"github.com/rs/zerolog/log"
-)
-
-type galleryOp struct {
-	req         gallery.GalleryModel
-	id          string
-	galleries   []gallery.Gallery
-	galleryName string
-}
-
-type galleryOpStatus struct {
-	FileName           string  `json:"file_name"`
-	Error              error   `json:"error"`
-	Processed          bool    `json:"processed"`
-	Message            string  `json:"message"`
-	Progress           float64 `json:"progress"`
-	TotalFileSize      string  `json:"file_size"`
-	DownloadedFileSize string  `json:"downloaded_size"`
-}
-
-type galleryApplier struct {
-	modelPath string
-	sync.Mutex
-	C        chan galleryOp
-	statuses map[string]*galleryOpStatus
-}
-
-func NewGalleryService(modelPath string) *galleryApplier {
-	return &galleryApplier{
-		modelPath: modelPath,
-		C:         make(chan galleryOp),
-		statuses:  make(map[string]*galleryOpStatus),
-	}
-}
-
-func prepareModel(modelPath string, req gallery.GalleryModel, cm *config.ConfigLoader, downloadStatus func(string, string, string, float64)) error {
-
-	config, err := gallery.GetGalleryConfigFromURL(req.URL)
-	if err != nil {
-		return err
-	}
-
-	config.Files = append(config.Files, req.AdditionalFiles...)
-
-	return gallery.InstallModel(modelPath, req.Name, &config, req.Overrides, downloadStatus)
-}
-
-func (g *galleryApplier) updateStatus(s string, op *galleryOpStatus) {
-	g.Lock()
-	defer g.Unlock()
-	g.statuses[s] = op
-}
-
-func (g *galleryApplier) getStatus(s string) *galleryOpStatus {
-	g.Lock()
-	defer g.Unlock()
-
-	return g.statuses[s]
-}
-
-func (g *galleryApplier) getAllStatus() map[string]*galleryOpStatus {
-	g.Lock()
-	defer g.Unlock()
-
-	return g.statuses
-}
-
-func (g *galleryApplier) Start(c context.Context, cm *config.ConfigLoader) {
-	go func() {
-		for {
-			select {
-			case <-c.Done():
-				return
-			case op := <-g.C:
-				utils.ResetDownloadTimers()
-
-				g.updateStatus(op.id, &galleryOpStatus{Message: "processing", Progress: 0})
-
-				// updates the status with an error
-				updateError := func(e error) {
-					g.updateStatus(op.id, &galleryOpStatus{Error: e, Processed: true, Message: "error: " + e.Error()})
-				}
-
-				// displayDownload displays the download progress
-				progressCallback := func(fileName string, current string, total string, percentage float64) {
-					g.updateStatus(op.id, &galleryOpStatus{Message: "processing", FileName: fileName, Progress: percentage, TotalFileSize: total, DownloadedFileSize: current})
-					utils.DisplayDownloadFunction(fileName, current, total, percentage)
-				}
-
-				var err error
-				// if the request contains a gallery name, we apply the gallery from the gallery list
-				if op.galleryName != "" {
-					if strings.Contains(op.galleryName, "@") {
-						err = gallery.InstallModelFromGallery(op.galleries, op.galleryName, g.modelPath, op.req, progressCallback)
-					} else {
-						err = gallery.InstallModelFromGalleryByName(op.galleries, op.galleryName, g.modelPath, op.req, progressCallback)
-					}
-				} else {
-					err = prepareModel(g.modelPath, op.req, cm, progressCallback)
-				}
-
-				if err != nil {
-					updateError(err)
-					continue
-				}
-
-				// Reload models
-				err = cm.LoadConfigs(g.modelPath)
-				if err != nil {
-					updateError(err)
-					continue
-				}
-
-				err = cm.Preload(g.modelPath)
-				if err != nil {
-					updateError(err)
-					continue
-				}
-
-				g.updateStatus(op.id, &galleryOpStatus{Processed: true, Message: "completed", Progress: 100})
-			}
-		}
-	}()
-}
-
-type galleryModel struct {
-	gallery.GalleryModel `yaml:",inline"` // https://github.com/go-yaml/yaml/issues/63
-	ID                   string           `json:"id"`
-}
-
-func processRequests(modelPath, s string, cm *config.ConfigLoader, galleries []gallery.Gallery, requests []galleryModel) error {
-	var err error
-	for _, r := range requests {
-		utils.ResetDownloadTimers()
-		if r.ID == "" {
-			err = prepareModel(modelPath, r.GalleryModel, cm, utils.DisplayDownloadFunction)
-		} else {
-			if strings.Contains(r.ID, "@") {
-				err = gallery.InstallModelFromGallery(
-					galleries, r.ID, modelPath, r.GalleryModel, utils.DisplayDownloadFunction)
-			} else {
-				err = gallery.InstallModelFromGalleryByName(
-					galleries, r.ID, modelPath, r.GalleryModel, utils.DisplayDownloadFunction)
-			}
-		}
-	}
-	return err
-}
-
-func ApplyGalleryFromFile(modelPath, s string, cm *config.ConfigLoader, galleries []gallery.Gallery) error {
-	dat, err := os.ReadFile(s)
-	if err != nil {
-		return err
-	}
-	var requests []galleryModel
-
-	if err := yaml.Unmarshal(dat, &requests); err != nil {
-		return err
-	}
-
-	return processRequests(modelPath, s, cm, galleries, requests)
-}
-
-func ApplyGalleryFromString(modelPath, s string, cm *config.ConfigLoader, galleries []gallery.Gallery) error {
-	var requests []galleryModel
-	err := json.Unmarshal([]byte(s), &requests)
-	if err != nil {
-		return err
-	}
-
-	return processRequests(modelPath, s, cm, galleries, requests)
-}
-
-/// Endpoint Service
-
-type ModelGalleryService struct {
-	galleries      []gallery.Gallery
-	modelPath      string
-	galleryApplier *galleryApplier
-}
-
-type GalleryModel struct {
-	ID string `json:"id"`
-	gallery.GalleryModel
-}
-
-func CreateModelGalleryService(galleries []gallery.Gallery, modelPath string, galleryApplier *galleryApplier) ModelGalleryService {
-	return ModelGalleryService{
-		galleries:      galleries,
-		modelPath:      modelPath,
-		galleryApplier: galleryApplier,
-	}
-}
-
-func (mgs *ModelGalleryService) GetOpStatusEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		status := mgs.galleryApplier.getStatus(c.Params("uuid"))
-		if status == nil {
-			return fmt.Errorf("could not find any status for ID")
-		}
-		return c.JSON(status)
-	}
-}
-
-func (mgs *ModelGalleryService) GetAllStatusEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		return c.JSON(mgs.galleryApplier.getAllStatus())
-	}
-}
-
-func (mgs *ModelGalleryService) ApplyModelGalleryEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		input := new(GalleryModel)
-		// Get input data from the request body
-		if err := c.BodyParser(input); err != nil {
-			return err
-		}
-
-		uuid, err := uuid.NewUUID()
-		if err != nil {
-			return err
-		}
-		mgs.galleryApplier.C <- galleryOp{
-			req:         input.GalleryModel,
-			id:          uuid.String(),
-			galleryName: input.ID,
-			galleries:   mgs.galleries,
-		}
-		return c.JSON(struct {
-			ID        string `json:"uuid"`
-			StatusURL string `json:"status"`
-		}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
-	}
-}
-
-func (mgs *ModelGalleryService) ListModelFromGalleryEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		log.Debug().Msgf("Listing models from galleries: %+v", mgs.galleries)
-
-		models, err := gallery.AvailableGalleryModels(mgs.galleries, mgs.modelPath)
-		if err != nil {
-			return err
-		}
-		log.Debug().Msgf("Models found from galleries: %+v", models)
-		for _, m := range models {
-			log.Debug().Msgf("Model found from galleries: %+v", m)
-		}
-		dat, err := json.Marshal(models)
-		if err != nil {
-			return err
-		}
-		return c.Send(dat)
-	}
-}
-
-// NOTE: This is different (and much simpler!) than above! This JUST lists the model galleries that have been loaded, not their contents!
-func (mgs *ModelGalleryService) ListModelGalleriesEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		log.Debug().Msgf("Listing model galleries %+v", mgs.galleries)
-		dat, err := json.Marshal(mgs.galleries)
-		if err != nil {
-			return err
-		}
-		return c.Send(dat)
-	}
-}
-
-func (mgs *ModelGalleryService) AddModelGalleryEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		input := new(gallery.Gallery)
-		// Get input data from the request body
-		if err := c.BodyParser(input); err != nil {
-			return err
-		}
-		if slices.ContainsFunc(mgs.galleries, func(gallery gallery.Gallery) bool {
-			return gallery.Name == input.Name
-		}) {
-			return fmt.Errorf("%s already exists", input.Name)
-		}
-		dat, err := json.Marshal(mgs.galleries)
-		if err != nil {
-			return err
-		}
-		log.Debug().Msgf("Adding %+v to gallery list", *input)
-		mgs.galleries = append(mgs.galleries, *input)
-		return c.Send(dat)
-	}
-}
-
-func (mgs *ModelGalleryService) RemoveModelGalleryEndpoint() func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		input := new(gallery.Gallery)
-		// Get input data from the request body
-		if err := c.BodyParser(input); err != nil {
-			return err
-		}
-		if !slices.ContainsFunc(mgs.galleries, func(gallery gallery.Gallery) bool {
-			return gallery.Name == input.Name
-		}) {
-			return fmt.Errorf("%s is not currently registered", input.Name)
-		}
-		mgs.galleries = slices.DeleteFunc(mgs.galleries, func(gallery gallery.Gallery) bool {
-			return gallery.Name == input.Name
-		})
-		return c.Send(nil)
-	}
-}

api/localai/localai.go

@@ -1,53 +0,0 @@
-package localai
-
-import (
-	"github.com/go-skynet/LocalAI/api/backend"
-	config "github.com/go-skynet/LocalAI/api/config"
-	fiberContext "github.com/go-skynet/LocalAI/api/ctx"
-	"github.com/rs/zerolog/log"
-
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/gofiber/fiber/v2"
-)
-
-type TTSRequest struct {
-	Model   string `json:"model" yaml:"model"`
-	Input   string `json:"input" yaml:"input"`
-	Backend string `json:"backend" yaml:"backend"`
-}
-
-func TTSEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-
-		input := new(TTSRequest)
-
-		// Get input data from the request body
-		if err := c.BodyParser(input); err != nil {
-			return err
-		}
-
-		modelFile, err := fiberContext.ModelFromContext(c, o.Loader, input.Model, false)
-		if err != nil {
-			modelFile = input.Model
-			log.Warn().Msgf("Model not found in context: %s", input.Model)
-		}
-		cfg, err := config.Load(modelFile, o.Loader.ModelPath, cm, false, 0, 0, false)
-		if err != nil {
-			modelFile = input.Model
-			log.Warn().Msgf("Model not found in context: %s", input.Model)
-		} else {
-			modelFile = cfg.Model
-		}
-		log.Debug().Msgf("Request for model: %s", modelFile)
-
-		if input.Backend != "" {
-			cfg.Backend = input.Input
-		}
-
-		filePath, _, err := backend.ModelTTS(cfg.Backend, input.Input, modelFile, o.Loader, o, *cfg)
-		if err != nil {
-			return err
-		}
-		return c.Download(filePath)
-	}
-}

api/openai/chat.go

@@ -1,399 +0,0 @@
-package openai
-
-import (
-	"bufio"
-	"bytes"
-	"encoding/json"
-	"fmt"
-	"strings"
-	"time"
-
-	"github.com/go-skynet/LocalAI/api/backend"
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/options"
-	"github.com/go-skynet/LocalAI/api/schema"
-	"github.com/go-skynet/LocalAI/pkg/grammar"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/go-skynet/LocalAI/pkg/utils"
-	"github.com/gofiber/fiber/v2"
-	"github.com/google/uuid"
-	"github.com/rs/zerolog/log"
-	"github.com/valyala/fasthttp"
-)
-
-func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
-	emptyMessage := ""
-	id := uuid.New().String()
-	created := int(time.Now().Unix())
-
-	process := func(s string, req *schema.OpenAIRequest, config *config.Config, loader *model.ModelLoader, responses chan schema.OpenAIResponse) {
-		initialMessage := schema.OpenAIResponse{
-			ID:      id,
-			Created: created,
-			Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: []schema.Choice{{Delta: &schema.Message{Role: "assistant", Content: &emptyMessage}}},
-			Object:  "chat.completion.chunk",
-		}
-		responses <- initialMessage
-
-		ComputeChoices(req, s, config, o, loader, func(s string, c *[]schema.Choice) {}, func(s string, usage backend.TokenUsage) bool {
-			resp := schema.OpenAIResponse{
-				ID:      id,
-				Created: created,
-				Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
-				Choices: []schema.Choice{{Delta: &schema.Message{Content: &s}, Index: 0}},
-				Object:  "chat.completion.chunk",
-				Usage: schema.OpenAIUsage{
-					PromptTokens:     usage.Prompt,
-					CompletionTokens: usage.Completion,
-					TotalTokens:      usage.Prompt + usage.Completion,
-				},
-			}
-
-			responses <- resp
-			return true
-		})
-		close(responses)
-	}
-	return func(c *fiber.Ctx) error {
-		processFunctions := false
-		funcs := grammar.Functions{}
-		modelFile, input, err := readRequest(c, o, true)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-
-		config, input, err := mergeRequestWithConfig(modelFile, input, cm, o.Loader, o.Debug, o.Threads, o.ContextSize, o.F16)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-		log.Debug().Msgf("Configuration read: %+v", config)
-
-		// Allow the user to set custom actions via config file
-		// to be "embedded" in each model
-		noActionName := "answer"
-		noActionDescription := "use this action to answer without performing any action"
-
-		if config.FunctionsConfig.NoActionFunctionName != "" {
-			noActionName = config.FunctionsConfig.NoActionFunctionName
-		}
-		if config.FunctionsConfig.NoActionDescriptionName != "" {
-			noActionDescription = config.FunctionsConfig.NoActionDescriptionName
-		}
-
-		if input.ResponseFormat.Type == "json_object" {
-			input.Grammar = grammar.JSONBNF
-		}
-
-		// process functions if we have any defined or if we have a function call string
-		if len(input.Functions) > 0 && config.ShouldUseFunctions() {
-			log.Debug().Msgf("Response needs to process functions")
-
-			processFunctions = true
-
-			noActionGrammar := grammar.Function{
-				Name:        noActionName,
-				Description: noActionDescription,
-				Parameters: map[string]interface{}{
-					"properties": map[string]interface{}{
-						"message": map[string]interface{}{
-							"type":        "string",
-							"description": "The message to reply the user with",
-						}},
-				},
-			}
-
-			// Append the no action function
-			funcs = append(funcs, input.Functions...)
-			if !config.FunctionsConfig.DisableNoAction {
-				funcs = append(funcs, noActionGrammar)
-			}
-
-			// Force picking one of the functions by the request
-			if config.FunctionToCall() != "" {
-				funcs = funcs.Select(config.FunctionToCall())
-			}
-
-			// Update input grammar
-			jsStruct := funcs.ToJSONStructure()
-			config.Grammar = jsStruct.Grammar("")
-		} else if input.JSONFunctionGrammarObject != nil {
-			config.Grammar = input.JSONFunctionGrammarObject.Grammar("")
-		}
-
-		// functions are not supported in stream mode (yet?)
-		toStream := input.Stream && !processFunctions
-
-		log.Debug().Msgf("Parameters: %+v", config)
-
-		var predInput string
-
-		suppressConfigSystemPrompt := false
-		mess := []string{}
-		for messageIndex, i := range input.Messages {
-			var content string
-			role := i.Role
-
-			// if function call, we might want to customize the role so we can display better that the "assistant called a json action"
-			// if an "assistant_function_call" role is defined, we use it, otherwise we use the role that is passed by in the request
-			if i.FunctionCall != nil && i.Role == "assistant" {
-				roleFn := "assistant_function_call"
-				r := config.Roles[roleFn]
-				if r != "" {
-					role = roleFn
-				}
-			}
-			r := config.Roles[role]
-			contentExists := i.Content != nil && i.StringContent != ""
-			// First attempt to populate content via a chat message specific template
-			if config.TemplateConfig.ChatMessage != "" {
-				chatMessageData := model.ChatMessageTemplateData{
-					SystemPrompt: config.SystemPrompt,
-					Role:         r,
-					RoleName:     role,
-					Content:      i.StringContent,
-					MessageIndex: messageIndex,
-				}
-				templatedChatMessage, err := o.Loader.EvaluateTemplateForChatMessage(config.TemplateConfig.ChatMessage, chatMessageData)
-				if err != nil {
-					log.Error().Msgf("error processing message %+v using template \"%s\": %v. Skipping!", chatMessageData, config.TemplateConfig.ChatMessage, err)
-				} else {
-					if templatedChatMessage == "" {
-						log.Warn().Msgf("template \"%s\" produced blank output for %+v. Skipping!", config.TemplateConfig.ChatMessage, chatMessageData)
-						continue // TODO: This continue is here intentionally to skip over the line `mess = append(mess, content)` below, and to prevent the sprintf
-					}
-					log.Debug().Msgf("templated message for chat: %s", templatedChatMessage)
-					content = templatedChatMessage
-				}
-			}
-			// If this model doesn't have such a template, or if that template fails to return a value, template at the message level.
-			if content == "" {
-				if r != "" {
-					if contentExists {
-						content = fmt.Sprint(r, i.StringContent)
-					}
-					if i.FunctionCall != nil {
-						j, err := json.Marshal(i.FunctionCall)
-						if err == nil {
-							if contentExists {
-								content += "\n" + fmt.Sprint(r, " ", string(j))
-							} else {
-								content = fmt.Sprint(r, " ", string(j))
-							}
-						}
-					}
-				} else {
-					if contentExists {
-						content = fmt.Sprint(i.StringContent)
-					}
-					if i.FunctionCall != nil {
-						j, err := json.Marshal(i.FunctionCall)
-						if err == nil {
-							if contentExists {
-								content += "\n" + string(j)
-							} else {
-								content = string(j)
-							}
-						}
-					}
-				}
-				// Special Handling: System. We care if it was printed at all, not the r branch, so check seperately
-				if contentExists && role == "system" {
-					suppressConfigSystemPrompt = true
-				}
-			}
-
-			mess = append(mess, content)
-		}
-
-		predInput = strings.Join(mess, "\n")
-		log.Debug().Msgf("Prompt (before templating): %s", predInput)
-
-		if toStream {
-			log.Debug().Msgf("Stream request received")
-			c.Context().SetContentType("text/event-stream")
-			//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
-			//	c.Set("Content-Type", "text/event-stream")
-			c.Set("Cache-Control", "no-cache")
-			c.Set("Connection", "keep-alive")
-			c.Set("Transfer-Encoding", "chunked")
-		}
-
-		templateFile := ""
-
-		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		if o.Loader.ExistsInModelPath(fmt.Sprintf("%s.tmpl", config.Model)) {
-			templateFile = config.Model
-		}
-
-		if config.TemplateConfig.Chat != "" && !processFunctions {
-			templateFile = config.TemplateConfig.Chat
-		}
-
-		if config.TemplateConfig.Functions != "" && processFunctions {
-			templateFile = config.TemplateConfig.Functions
-		}
-
-		if templateFile != "" {
-			templatedInput, err := o.Loader.EvaluateTemplateForPrompt(model.ChatPromptTemplate, templateFile, model.PromptTemplateData{
-				SystemPrompt:         config.SystemPrompt,
-				SuppressSystemPrompt: suppressConfigSystemPrompt,
-				Input:                predInput,
-				Functions:            funcs,
-			})
-			if err == nil {
-				predInput = templatedInput
-				log.Debug().Msgf("Template found, input modified to: %s", predInput)
-			} else {
-				log.Debug().Msgf("Template failed loading: %s", err.Error())
-			}
-		}
-
-		log.Debug().Msgf("Prompt (after templating): %s", predInput)
-		if processFunctions {
-			log.Debug().Msgf("Grammar: %+v", config.Grammar)
-		}
-
-		if toStream {
-			responses := make(chan schema.OpenAIResponse)
-
-			go process(predInput, input, config, o.Loader, responses)
-
-			c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
-
-				usage := &schema.OpenAIUsage{}
-
-				for ev := range responses {
-					usage = &ev.Usage // Copy a pointer to the latest usage chunk so that the stop message can reference it
-					var buf bytes.Buffer
-					enc := json.NewEncoder(&buf)
-					enc.Encode(ev)
-					log.Debug().Msgf("Sending chunk: %s", buf.String())
-					_, err := fmt.Fprintf(w, "data: %v\n", buf.String())
-					if err != nil {
-						log.Debug().Msgf("Sending chunk failed: %v", err)
-						input.Cancel()
-						break
-					}
-					w.Flush()
-				}
-
-				resp := &schema.OpenAIResponse{
-					ID:      id,
-					Created: created,
-					Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-					Choices: []schema.Choice{
-						{
-							FinishReason: "stop",
-							Index:        0,
-							Delta:        &schema.Message{Content: &emptyMessage},
-						}},
-					Object: "chat.completion.chunk",
-					Usage:  *usage,
-				}
-				respData, _ := json.Marshal(resp)
-
-				w.WriteString(fmt.Sprintf("data: %s\n\n", respData))
-				w.WriteString("data: [DONE]\n\n")
-				w.Flush()
-			}))
-			return nil
-		}
-
-		result, tokenUsage, err := ComputeChoices(input, predInput, config, o, o.Loader, func(s string, c *[]schema.Choice) {
-			if processFunctions {
-				// As we have to change the result before processing, we can't stream the answer (yet?)
-				ss := map[string]interface{}{}
-				// This prevent newlines to break JSON parsing for clients
-				s = utils.EscapeNewLines(s)
-				json.Unmarshal([]byte(s), &ss)
-				log.Debug().Msgf("Function return: %s %+v", s, ss)
-
-				// The grammar defines the function name as "function", while OpenAI returns "name"
-				func_name := ss["function"]
-				// Similarly, while here arguments is a map[string]interface{}, OpenAI actually want a stringified object
-				args := ss["arguments"] // arguments needs to be a string, but we return an object from the grammar result (TODO: fix)
-				d, _ := json.Marshal(args)
-
-				ss["arguments"] = string(d)
-				ss["name"] = func_name
-
-				// if do nothing, reply with a message
-				if func_name == noActionName {
-					log.Debug().Msgf("nothing to do, computing a reply")
-
-					// If there is a message that the LLM already sends as part of the JSON reply, use it
-					arguments := map[string]interface{}{}
-					json.Unmarshal([]byte(d), &arguments)
-					m, exists := arguments["message"]
-					if exists {
-						switch message := m.(type) {
-						case string:
-							if message != "" {
-								log.Debug().Msgf("Reply received from LLM: %s", message)
-								message = backend.Finetune(*config, predInput, message)
-								log.Debug().Msgf("Reply received from LLM(finetuned): %s", message)
-
-								*c = append(*c, schema.Choice{Message: &schema.Message{Role: "assistant", Content: &message}})
-								return
-							}
-						}
-					}
-
-					log.Debug().Msgf("No action received from LLM, without a message, computing a reply")
-					// Otherwise ask the LLM to understand the JSON output and the context, and return a message
-					// Note: This costs (in term of CPU) another computation
-					config.Grammar = ""
-					images := []string{}
-					for _, m := range input.Messages {
-						images = append(images, m.StringImages...)
-					}
-					predFunc, err := backend.ModelInference(input.Context, predInput, images, o.Loader, *config, o, nil)
-					if err != nil {
-						log.Error().Msgf("inference error: %s", err.Error())
-						return
-					}
-
-					prediction, err := predFunc()
-					if err != nil {
-						log.Error().Msgf("inference error: %s", err.Error())
-						return
-					}
-
-					fineTunedResponse := backend.Finetune(*config, predInput, prediction.Response)
-					*c = append(*c, schema.Choice{Message: &schema.Message{Role: "assistant", Content: &fineTunedResponse}})
-				} else {
-					// otherwise reply with the function call
-					*c = append(*c, schema.Choice{
-						FinishReason: "function_call",
-						Message:      &schema.Message{Role: "assistant", FunctionCall: ss},
-					})
-				}
-
-				return
-			}
-			*c = append(*c, schema.Choice{FinishReason: "stop", Index: 0, Message: &schema.Message{Role: "assistant", Content: &s}})
-		}, nil)
-		if err != nil {
-			return err
-		}
-
-		resp := &schema.OpenAIResponse{
-			ID:      id,
-			Created: created,
-			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: result,
-			Object:  "chat.completion",
-			Usage: schema.OpenAIUsage{
-				PromptTokens:     tokenUsage.Prompt,
-				CompletionTokens: tokenUsage.Completion,
-				TotalTokens:      tokenUsage.Prompt + tokenUsage.Completion,
-			},
-		}
-		respData, _ := json.Marshal(resp)
-		log.Debug().Msgf("Response: %s", respData)
-
-		// Return the prediction in the response body
-		return c.JSON(resp)
-	}
-}

api/openai/list.go

@@ -1,69 +0,0 @@
-package openai
-
-import (
-	"regexp"
-
-	config "github.com/go-skynet/LocalAI/api/config"
-	"github.com/go-skynet/LocalAI/api/schema"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/gofiber/fiber/v2"
-)
-
-func ListModelsEndpoint(loader *model.ModelLoader, cm *config.ConfigLoader) func(ctx *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		models, err := loader.ListModels()
-		if err != nil {
-			return err
-		}
-		var mm map[string]interface{} = map[string]interface{}{}
-
-		dataModels := []schema.OpenAIModel{}
-
-		var filterFn func(name string) bool
-		filter := c.Query("filter")
-
-		// If filter is not specified, do not filter the list by model name
-		if filter == "" {
-			filterFn = func(_ string) bool { return true }
-		} else {
-			// If filter _IS_ specified, we compile it to a regex which is used to create the filterFn
-			rxp, err := regexp.Compile(filter)
-			if err != nil {
-				return err
-			}
-			filterFn = func(name string) bool {
-				return rxp.MatchString(name)
-			}
-		}
-
-		// By default, exclude any loose files that are already referenced by a configuration file.
-		excludeConfigured := c.QueryBool("excludeConfigured", true)
-
-		// Start with the known configurations
-		for _, c := range cm.GetAllConfigs() {
-			if excludeConfigured {
-				mm[c.Model] = nil
-			}
-
-			if filterFn(c.Name) {
-				dataModels = append(dataModels, schema.OpenAIModel{ID: c.Name, Object: "model"})
-			}
-		}
-
-		// Then iterate through the loose files:
-		for _, m := range models {
-			// And only adds them if they shouldn't be skipped.
-			if _, exists := mm[m]; !exists && filterFn(m) {
-				dataModels = append(dataModels, schema.OpenAIModel{ID: m, Object: "model"})
-			}
-		}
-
-		return c.JSON(struct {
-			Object string               `json:"object"`
-			Data   []schema.OpenAIModel `json:"data"`
-		}{
-			Object: "list",
-			Data:   dataModels,
-		})
-	}
-}

api/options/options.go

@@ -1,262 +0,0 @@
-package options
-
-import (
-	"context"
-	"embed"
-	"encoding/json"
-	"time"
-
-	"github.com/go-skynet/LocalAI/metrics"
-	"github.com/go-skynet/LocalAI/pkg/gallery"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/rs/zerolog/log"
-)
-
-type Option struct {
-	Context                             context.Context
-	ConfigFile                          string
-	Loader                              *model.ModelLoader
-	UploadLimitMB, Threads, ContextSize int
-	F16                                 bool
-	Debug, DisableMessage               bool
-	ImageDir                            string
-	AudioDir                            string
-	CORS                                bool
-	PreloadJSONModels                   string
-	PreloadModelsFromPath               string
-	CORSAllowOrigins                    string
-	ApiKeys                             []string
-	Metrics                             *metrics.Metrics
-
-	ModelLibraryURL string
-
-	Galleries []gallery.Gallery
-
-	BackendAssets     embed.FS
-	AssetsDestination string
-
-	ExternalGRPCBackends map[string]string
-
-	AutoloadGalleries bool
-
-	SingleBackend           bool
-	ParallelBackendRequests bool
-
-	WatchDogIdle bool
-	WatchDogBusy bool
-	WatchDog     bool
-
-	ModelsURL []string
-
-	WatchDogBusyTimeout, WatchDogIdleTimeout time.Duration
-}
-
-type AppOption func(*Option)
-
-func NewOptions(o ...AppOption) *Option {
-	opt := &Option{
-		Context:        context.Background(),
-		UploadLimitMB:  15,
-		Threads:        1,
-		ContextSize:    512,
-		Debug:          true,
-		DisableMessage: true,
-	}
-	for _, oo := range o {
-		oo(opt)
-	}
-	return opt
-}
-
-func WithModelsURL(urls ...string) AppOption {
-	return func(o *Option) {
-		o.ModelsURL = urls
-	}
-}
-
-func WithCors(b bool) AppOption {
-	return func(o *Option) {
-		o.CORS = b
-	}
-}
-
-func WithModelLibraryURL(url string) AppOption {
-	return func(o *Option) {
-		o.ModelLibraryURL = url
-	}
-}
-
-var EnableWatchDog = func(o *Option) {
-	o.WatchDog = true
-}
-
-var EnableWatchDogIdleCheck = func(o *Option) {
-	o.WatchDog = true
-	o.WatchDogIdle = true
-}
-
-var EnableWatchDogBusyCheck = func(o *Option) {
-	o.WatchDog = true
-	o.WatchDogBusy = true
-}
-
-func SetWatchDogBusyTimeout(t time.Duration) AppOption {
-	return func(o *Option) {
-		o.WatchDogBusyTimeout = t
-	}
-}
-
-func SetWatchDogIdleTimeout(t time.Duration) AppOption {
-	return func(o *Option) {
-		o.WatchDogIdleTimeout = t
-	}
-}
-
-var EnableSingleBackend = func(o *Option) {
-	o.SingleBackend = true
-}
-
-var EnableParallelBackendRequests = func(o *Option) {
-	o.ParallelBackendRequests = true
-}
-
-var EnableGalleriesAutoload = func(o *Option) {
-	o.AutoloadGalleries = true
-}
-
-func WithExternalBackend(name string, uri string) AppOption {
-	return func(o *Option) {
-		if o.ExternalGRPCBackends == nil {
-			o.ExternalGRPCBackends = make(map[string]string)
-		}
-		o.ExternalGRPCBackends[name] = uri
-	}
-}
-
-func WithCorsAllowOrigins(b string) AppOption {
-	return func(o *Option) {
-		o.CORSAllowOrigins = b
-	}
-}
-
-func WithBackendAssetsOutput(out string) AppOption {
-	return func(o *Option) {
-		o.AssetsDestination = out
-	}
-}
-
-func WithBackendAssets(f embed.FS) AppOption {
-	return func(o *Option) {
-		o.BackendAssets = f
-	}
-}
-
-func WithStringGalleries(galls string) AppOption {
-	return func(o *Option) {
-		if galls == "" {
-			log.Debug().Msgf("no galleries to load")
-			o.Galleries = []gallery.Gallery{}
-			return
-		}
-		var galleries []gallery.Gallery
-		if err := json.Unmarshal([]byte(galls), &galleries); err != nil {
-			log.Error().Msgf("failed loading galleries: %s", err.Error())
-		}
-		o.Galleries = append(o.Galleries, galleries...)
-	}
-}
-
-func WithGalleries(galleries []gallery.Gallery) AppOption {
-	return func(o *Option) {
-		o.Galleries = append(o.Galleries, galleries...)
-	}
-}
-
-func WithContext(ctx context.Context) AppOption {
-	return func(o *Option) {
-		o.Context = ctx
-	}
-}
-
-func WithYAMLConfigPreload(configFile string) AppOption {
-	return func(o *Option) {
-		o.PreloadModelsFromPath = configFile
-	}
-}
-
-func WithJSONStringPreload(configFile string) AppOption {
-	return func(o *Option) {
-		o.PreloadJSONModels = configFile
-	}
-}
-func WithConfigFile(configFile string) AppOption {
-	return func(o *Option) {
-		o.ConfigFile = configFile
-	}
-}
-
-func WithModelLoader(loader *model.ModelLoader) AppOption {
-	return func(o *Option) {
-		o.Loader = loader
-	}
-}
-
-func WithUploadLimitMB(limit int) AppOption {
-	return func(o *Option) {
-		o.UploadLimitMB = limit
-	}
-}
-
-func WithThreads(threads int) AppOption {
-	return func(o *Option) {
-		o.Threads = threads
-	}
-}
-
-func WithContextSize(ctxSize int) AppOption {
-	return func(o *Option) {
-		o.ContextSize = ctxSize
-	}
-}
-
-func WithF16(f16 bool) AppOption {
-	return func(o *Option) {
-		o.F16 = f16
-	}
-}
-
-func WithDebug(debug bool) AppOption {
-	return func(o *Option) {
-		o.Debug = debug
-	}
-}
-
-func WithDisableMessage(disableMessage bool) AppOption {
-	return func(o *Option) {
-		o.DisableMessage = disableMessage
-	}
-}
-
-func WithAudioDir(audioDir string) AppOption {
-	return func(o *Option) {
-		o.AudioDir = audioDir
-	}
-}
-
-func WithImageDir(imageDir string) AppOption {
-	return func(o *Option) {
-		o.ImageDir = imageDir
-	}
-}
-
-func WithApiKeys(apiKeys []string) AppOption {
-	return func(o *Option) {
-		o.ApiKeys = apiKeys
-	}
-}
-
-func WithMetrics(meter *metrics.Metrics) AppOption {
-	return func(o *Option) {
-		o.Metrics = meter
-	}
-}

backend/backend.proto

@@ -18,6 +18,72 @@ service Backend {
   rpc TTS(TTSRequest) returns (Result) {}
   rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
   rpc Status(HealthMessage) returns (StatusResponse) {}
+
+  rpc StoresSet(StoresSetOptions) returns (Result) {}
+  rpc StoresDelete(StoresDeleteOptions) returns (Result) {}
+  rpc StoresGet(StoresGetOptions) returns (StoresGetResult) {}
+  rpc StoresFind(StoresFindOptions) returns (StoresFindResult) {}
+
+  rpc Rerank(RerankRequest) returns (RerankResult) {}
+}
+
+message RerankRequest {
+  string query = 1;
+  repeated string documents = 2;
+  int32 top_n = 3;
+}
+
+message RerankResult {
+  Usage usage = 1;
+  repeated DocumentResult results = 2;
+}
+
+message Usage {
+  int32 total_tokens = 1;
+  int32 prompt_tokens = 2;
+}
+
+message DocumentResult {
+  int32 index = 1;
+  string text = 2;
+  float relevance_score = 3;
+}
+
+message StoresKey {
+  repeated float Floats = 1;
+}
+
+message StoresValue {
+  bytes Bytes = 1;
+}
+
+message StoresSetOptions {
+  repeated StoresKey Keys = 1;
+  repeated StoresValue Values = 2;
+}
+
+message StoresDeleteOptions {
+  repeated StoresKey Keys = 1;
+}
+
+message StoresGetOptions {
+  repeated StoresKey Keys = 1;
+}
+
+message StoresGetResult {
+  repeated StoresKey Keys = 1;
+  repeated StoresValue Values = 2;
+}
+
+message StoresFindOptions {
+  StoresKey Key = 1;
+  int32 TopK = 2;
+}
+
+message StoresFindResult {
+  repeated StoresKey Keys = 1;
+  repeated StoresValue Values = 2;
+  repeated float Similarities = 3;
 }
 
 message HealthMessage {}
@@ -65,11 +131,15 @@ message PredictOptions {
   string NegativePrompt = 40;
   int32 NDraft = 41;
   repeated string Images = 42;
+  bool UseTokenizerTemplate = 43;
+  repeated Message Messages = 44;
 }
 
 // The response message containing the result
 message Reply {
   bytes message = 1;
+  int32 tokens = 2;
+  int32 prompt_tokens = 3;
 }
 
 message ModelOptions {
@@ -121,11 +191,17 @@ message ModelOptions {
 
   bool NoMulMatQ = 37;
   string DraftModel = 39;
-  
+
   string AudioPath = 38;
 
   // vllm
   string Quantization = 40;
+  float  GPUMemoryUtilization = 50;
+  bool   TrustRemoteCode = 51;
+  bool   EnforceEager = 52;
+  int32  SwapSpace = 53;
+  int32  MaxModelLen = 54;
+  int32  TensorParallelSize = 55;
 
   string MMProj = 41;
 
@@ -136,6 +212,9 @@ message ModelOptions {
   float YarnBetaSlow = 47;
 
   string Type = 49;
+
+  bool FlashAttention = 56;
+  bool NoKVOffload = 57;
 }
 
 message Result {
@@ -151,6 +230,7 @@ message TranscriptRequest {
   string dst = 2;
   string language = 3;
   uint32 threads = 4;
+  bool translate = 5;
 }
 
 message TranscriptResult {
@@ -186,6 +266,8 @@ message TTSRequest {
   string text = 1;
   string model = 2;
   string dst = 3;
+  string voice = 4;
+  optional string language = 5;
 }
 
 message TokenizationResponse {
@@ -207,4 +289,9 @@ message StatusResponse {
   }
   State state = 1;
   MemoryUsageData memory = 2;
+}
+
+message Message {
+  string role = 1;
+  string content = 2;
 }

backend/backend_grpc.pb.go

@@ -1,457 +0,0 @@
-// Code generated by protoc-gen-go-grpc. DO NOT EDIT.
-// versions:
-// - protoc-gen-go-grpc v1.2.0
-// - protoc             v4.23.4
-// source: backend/backend.proto
-
-package proto
-
-import (
-	context "context"
-	grpc "google.golang.org/grpc"
-	codes "google.golang.org/grpc/codes"
-	status "google.golang.org/grpc/status"
-)
-
-// This is a compile-time assertion to ensure that this generated file
-// is compatible with the grpc package it is being compiled against.
-// Requires gRPC-Go v1.32.0 or later.
-const _ = grpc.SupportPackageIsVersion7
-
-// BackendClient is the client API for Backend service.
-//
-// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://pkg.go.dev/google.golang.org/grpc/?tab=doc#ClientConn.NewStream.
-type BackendClient interface {
-	Health(ctx context.Context, in *HealthMessage, opts ...grpc.CallOption) (*Reply, error)
-	Predict(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*Reply, error)
-	LoadModel(ctx context.Context, in *ModelOptions, opts ...grpc.CallOption) (*Result, error)
-	PredictStream(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (Backend_PredictStreamClient, error)
-	Embedding(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*EmbeddingResult, error)
-	GenerateImage(ctx context.Context, in *GenerateImageRequest, opts ...grpc.CallOption) (*Result, error)
-	AudioTranscription(ctx context.Context, in *TranscriptRequest, opts ...grpc.CallOption) (*TranscriptResult, error)
-	TTS(ctx context.Context, in *TTSRequest, opts ...grpc.CallOption) (*Result, error)
-	TokenizeString(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*TokenizationResponse, error)
-	Status(ctx context.Context, in *HealthMessage, opts ...grpc.CallOption) (*StatusResponse, error)
-}
-
-type backendClient struct {
-	cc grpc.ClientConnInterface
-}
-
-func NewBackendClient(cc grpc.ClientConnInterface) BackendClient {
-	return &backendClient{cc}
-}
-
-func (c *backendClient) Health(ctx context.Context, in *HealthMessage, opts ...grpc.CallOption) (*Reply, error) {
-	out := new(Reply)
-	err := c.cc.Invoke(ctx, "/backend.Backend/Health", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) Predict(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*Reply, error) {
-	out := new(Reply)
-	err := c.cc.Invoke(ctx, "/backend.Backend/Predict", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) LoadModel(ctx context.Context, in *ModelOptions, opts ...grpc.CallOption) (*Result, error) {
-	out := new(Result)
-	err := c.cc.Invoke(ctx, "/backend.Backend/LoadModel", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) PredictStream(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (Backend_PredictStreamClient, error) {
-	stream, err := c.cc.NewStream(ctx, &Backend_ServiceDesc.Streams[0], "/backend.Backend/PredictStream", opts...)
-	if err != nil {
-		return nil, err
-	}
-	x := &backendPredictStreamClient{stream}
-	if err := x.ClientStream.SendMsg(in); err != nil {
-		return nil, err
-	}
-	if err := x.ClientStream.CloseSend(); err != nil {
-		return nil, err
-	}
-	return x, nil
-}
-
-type Backend_PredictStreamClient interface {
-	Recv() (*Reply, error)
-	grpc.ClientStream
-}
-
-type backendPredictStreamClient struct {
-	grpc.ClientStream
-}
-
-func (x *backendPredictStreamClient) Recv() (*Reply, error) {
-	m := new(Reply)
-	if err := x.ClientStream.RecvMsg(m); err != nil {
-		return nil, err
-	}
-	return m, nil
-}
-
-func (c *backendClient) Embedding(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*EmbeddingResult, error) {
-	out := new(EmbeddingResult)
-	err := c.cc.Invoke(ctx, "/backend.Backend/Embedding", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) GenerateImage(ctx context.Context, in *GenerateImageRequest, opts ...grpc.CallOption) (*Result, error) {
-	out := new(Result)
-	err := c.cc.Invoke(ctx, "/backend.Backend/GenerateImage", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) AudioTranscription(ctx context.Context, in *TranscriptRequest, opts ...grpc.CallOption) (*TranscriptResult, error) {
-	out := new(TranscriptResult)
-	err := c.cc.Invoke(ctx, "/backend.Backend/AudioTranscription", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) TTS(ctx context.Context, in *TTSRequest, opts ...grpc.CallOption) (*Result, error) {
-	out := new(Result)
-	err := c.cc.Invoke(ctx, "/backend.Backend/TTS", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) TokenizeString(ctx context.Context, in *PredictOptions, opts ...grpc.CallOption) (*TokenizationResponse, error) {
-	out := new(TokenizationResponse)
-	err := c.cc.Invoke(ctx, "/backend.Backend/TokenizeString", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-func (c *backendClient) Status(ctx context.Context, in *HealthMessage, opts ...grpc.CallOption) (*StatusResponse, error) {
-	out := new(StatusResponse)
-	err := c.cc.Invoke(ctx, "/backend.Backend/Status", in, out, opts...)
-	if err != nil {
-		return nil, err
-	}
-	return out, nil
-}
-
-// BackendServer is the server API for Backend service.
-// All implementations must embed UnimplementedBackendServer
-// for forward compatibility
-type BackendServer interface {
-	Health(context.Context, *HealthMessage) (*Reply, error)
-	Predict(context.Context, *PredictOptions) (*Reply, error)
-	LoadModel(context.Context, *ModelOptions) (*Result, error)
-	PredictStream(*PredictOptions, Backend_PredictStreamServer) error
-	Embedding(context.Context, *PredictOptions) (*EmbeddingResult, error)
-	GenerateImage(context.Context, *GenerateImageRequest) (*Result, error)
-	AudioTranscription(context.Context, *TranscriptRequest) (*TranscriptResult, error)
-	TTS(context.Context, *TTSRequest) (*Result, error)
-	TokenizeString(context.Context, *PredictOptions) (*TokenizationResponse, error)
-	Status(context.Context, *HealthMessage) (*StatusResponse, error)
-	mustEmbedUnimplementedBackendServer()
-}
-
-// UnimplementedBackendServer must be embedded to have forward compatible implementations.
-type UnimplementedBackendServer struct {
-}
-
-func (UnimplementedBackendServer) Health(context.Context, *HealthMessage) (*Reply, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method Health not implemented")
-}
-func (UnimplementedBackendServer) Predict(context.Context, *PredictOptions) (*Reply, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method Predict not implemented")
-}
-func (UnimplementedBackendServer) LoadModel(context.Context, *ModelOptions) (*Result, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method LoadModel not implemented")
-}
-func (UnimplementedBackendServer) PredictStream(*PredictOptions, Backend_PredictStreamServer) error {
-	return status.Errorf(codes.Unimplemented, "method PredictStream not implemented")
-}
-func (UnimplementedBackendServer) Embedding(context.Context, *PredictOptions) (*EmbeddingResult, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method Embedding not implemented")
-}
-func (UnimplementedBackendServer) GenerateImage(context.Context, *GenerateImageRequest) (*Result, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method GenerateImage not implemented")
-}
-func (UnimplementedBackendServer) AudioTranscription(context.Context, *TranscriptRequest) (*TranscriptResult, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method AudioTranscription not implemented")
-}
-func (UnimplementedBackendServer) TTS(context.Context, *TTSRequest) (*Result, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method TTS not implemented")
-}
-func (UnimplementedBackendServer) TokenizeString(context.Context, *PredictOptions) (*TokenizationResponse, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method TokenizeString not implemented")
-}
-func (UnimplementedBackendServer) Status(context.Context, *HealthMessage) (*StatusResponse, error) {
-	return nil, status.Errorf(codes.Unimplemented, "method Status not implemented")
-}
-func (UnimplementedBackendServer) mustEmbedUnimplementedBackendServer() {}
-
-// UnsafeBackendServer may be embedded to opt out of forward compatibility for this service.
-// Use of this interface is not recommended, as added methods to BackendServer will
-// result in compilation errors.
-type UnsafeBackendServer interface {
-	mustEmbedUnimplementedBackendServer()
-}
-
-func RegisterBackendServer(s grpc.ServiceRegistrar, srv BackendServer) {
-	s.RegisterService(&Backend_ServiceDesc, srv)
-}
-
-func _Backend_Health_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(HealthMessage)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).Health(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/Health",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).Health(ctx, req.(*HealthMessage))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_Predict_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(PredictOptions)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).Predict(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/Predict",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).Predict(ctx, req.(*PredictOptions))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_LoadModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(ModelOptions)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).LoadModel(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/LoadModel",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).LoadModel(ctx, req.(*ModelOptions))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_PredictStream_Handler(srv interface{}, stream grpc.ServerStream) error {
-	m := new(PredictOptions)
-	if err := stream.RecvMsg(m); err != nil {
-		return err
-	}
-	return srv.(BackendServer).PredictStream(m, &backendPredictStreamServer{stream})
-}
-
-type Backend_PredictStreamServer interface {
-	Send(*Reply) error
-	grpc.ServerStream
-}
-
-type backendPredictStreamServer struct {
-	grpc.ServerStream
-}
-
-func (x *backendPredictStreamServer) Send(m *Reply) error {
-	return x.ServerStream.SendMsg(m)
-}
-
-func _Backend_Embedding_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(PredictOptions)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).Embedding(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/Embedding",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).Embedding(ctx, req.(*PredictOptions))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_GenerateImage_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(GenerateImageRequest)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).GenerateImage(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/GenerateImage",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).GenerateImage(ctx, req.(*GenerateImageRequest))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_AudioTranscription_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(TranscriptRequest)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).AudioTranscription(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/AudioTranscription",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).AudioTranscription(ctx, req.(*TranscriptRequest))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_TTS_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(TTSRequest)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).TTS(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/TTS",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).TTS(ctx, req.(*TTSRequest))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_TokenizeString_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(PredictOptions)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).TokenizeString(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/TokenizeString",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).TokenizeString(ctx, req.(*PredictOptions))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-func _Backend_Status_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
-	in := new(HealthMessage)
-	if err := dec(in); err != nil {
-		return nil, err
-	}
-	if interceptor == nil {
-		return srv.(BackendServer).Status(ctx, in)
-	}
-	info := &grpc.UnaryServerInfo{
-		Server:     srv,
-		FullMethod: "/backend.Backend/Status",
-	}
-	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
-		return srv.(BackendServer).Status(ctx, req.(*HealthMessage))
-	}
-	return interceptor(ctx, in, info, handler)
-}
-
-// Backend_ServiceDesc is the grpc.ServiceDesc for Backend service.
-// It's only intended for direct use with grpc.RegisterService,
-// and not to be introspected or modified (even as a copy)
-var Backend_ServiceDesc = grpc.ServiceDesc{
-	ServiceName: "backend.Backend",
-	HandlerType: (*BackendServer)(nil),
-	Methods: []grpc.MethodDesc{
-		{
-			MethodName: "Health",
-			Handler:    _Backend_Health_Handler,
-		},
-		{
-			MethodName: "Predict",
-			Handler:    _Backend_Predict_Handler,
-		},
-		{
-			MethodName: "LoadModel",
-			Handler:    _Backend_LoadModel_Handler,
-		},
-		{
-			MethodName: "Embedding",
-			Handler:    _Backend_Embedding_Handler,
-		},
-		{
-			MethodName: "GenerateImage",
-			Handler:    _Backend_GenerateImage_Handler,
-		},
-		{
-			MethodName: "AudioTranscription",
-			Handler:    _Backend_AudioTranscription_Handler,
-		},
-		{
-			MethodName: "TTS",
-			Handler:    _Backend_TTS_Handler,
-		},
-		{
-			MethodName: "TokenizeString",
-			Handler:    _Backend_TokenizeString_Handler,
-		},
-		{
-			MethodName: "Status",
-			Handler:    _Backend_Status_Handler,
-		},
-	},
-	Streams: []grpc.StreamDesc{
-		{
-			StreamName:    "PredictStream",
-			Handler:       _Backend_PredictStream_Handler,
-			ServerStreams: true,
-		},
-	},
-	Metadata: "backend/backend.proto",
-}

backend/cpp/grpc/Makefile

@@ -5,7 +5,6 @@ SYSTEM ?= $(HOST_SYSTEM)
 TAG_LIB_GRPC?=v1.59.0
 GIT_REPO_LIB_GRPC?=https://github.com/grpc/grpc.git
 GIT_CLONE_DEPTH?=1
-NUM_BUILD_THREADS?=$(shell nproc --ignore=1)
 
 INSTALLED_PACKAGES=installed_packages
 GRPC_REPO=grpc_repo
@@ -48,11 +47,11 @@ $(INSTALLED_PACKAGES): grpc_build
 
 $(GRPC_REPO):
 	git clone --depth $(GIT_CLONE_DEPTH) -b $(TAG_LIB_GRPC) $(GIT_REPO_LIB_GRPC) $(GRPC_REPO)/grpc
-	cd $(GRPC_REPO)/grpc && git submodule update --init --recursive --depth $(GIT_CLONE_DEPTH)
+	cd $(GRPC_REPO)/grpc && git submodule update --jobs 2 --init --recursive --depth $(GIT_CLONE_DEPTH)
 
 $(GRPC_BUILD): $(GRPC_REPO)
 	mkdir -p $(GRPC_BUILD)
-	cd $(GRPC_BUILD) && cmake $(CMAKE_ARGS) ../$(GRPC_REPO)/grpc && cmake --build . -- -j ${NUM_BUILD_THREADS} && cmake --build . --target install -- -j ${NUM_BUILD_THREADS}
+	cd $(GRPC_BUILD) && cmake $(CMAKE_ARGS) ../$(GRPC_REPO)/grpc && cmake --build . && cmake --build . --target install
 
 build: $(INSTALLED_PACKAGES)
 

backend/cpp/llama/CMakeLists.txt

@@ -2,16 +2,20 @@
 ## XXX: In some versions of CMake clip wasn't being built before llama.
 ## This is an hack for now, but it should be fixed in the future.
 set(TARGET myclip)
-add_library(${TARGET} clip.cpp clip.h)
+add_library(${TARGET} clip.cpp clip.h llava.cpp llava.h)
 install(TARGETS ${TARGET} LIBRARY)
-target_link_libraries(${TARGET} PRIVATE common ggml ${CMAKE_THREAD_LIBS_INIT})
+target_include_directories(myclip PUBLIC .)
+target_include_directories(myclip PUBLIC ../..)
+target_include_directories(myclip PUBLIC ../../common)
+target_link_libraries(${TARGET} PRIVATE common ggml llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if (NOT MSVC)
     target_compile_options(${TARGET} PRIVATE -Wno-cast-qual) # stb_image.h
 endif()
+# END CLIP hack
+
 
 set(TARGET grpc-server)
-# END CLIP hack
 set(CMAKE_CXX_STANDARD 17)
 cmake_minimum_required(VERSION 3.15)
 set(TARGET grpc-server)

backend/cpp/llama/Makefile

@@ -4,28 +4,44 @@ LLAMA_VERSION?=
 CMAKE_ARGS?=
 BUILD_TYPE?=
 ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
+TARGET?=--target grpc-server
 
-# If build type is cublas, then we set -DLLAMA_CUBLAS=ON to CMAKE_ARGS automatically
+# Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
+CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
+
+# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
 ifeq ($(BUILD_TYPE),cublas)
-	CMAKE_ARGS+=-DLLAMA_CUBLAS=ON
-# If build type is openblas then we set -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
+	CMAKE_ARGS+=-DGGML_CUDA=ON
+# If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
 # to CMAKE_ARGS automatically
 else ifeq ($(BUILD_TYPE),openblas)
-	CMAKE_ARGS+=-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
-# If build type is clblast (openCL) we set -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
-else ifeq ($(BUILD_TYPE),clblast)
-	CMAKE_ARGS+=-DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+# If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
+else ifeq ($(BUILD_TYPE),clblas)
+	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 # If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ 
 else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON
+	CMAKE_ARGS+=-DGGML_HIPBLAS=ON
+# If it's OSX, DO NOT embed the metal library - -DGGML_METAL_EMBED_LIBRARY=ON requires further investigation
+# But if it's OSX without metal, disable it here
+else ifeq ($(OS),Darwin)
+	ifneq ($(BUILD_TYPE),metal)
+		CMAKE_ARGS+=-DGGML_METAL=OFF
+	else
+		CMAKE_ARGS+=-DGGML_METAL=ON
+# Until this is tested properly, we disable embedded metal file
+# as we already embed it as part of the LocalAI assets
+		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=OFF
+		TARGET+=--target ggml-metal
+	endif
 endif
 
 ifeq ($(BUILD_TYPE),sycl_f16)
-	CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
+	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
 endif
 
 ifeq ($(BUILD_TYPE),sycl_f32)
-	CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
 endif
 
 llama.cpp:
@@ -35,34 +51,29 @@ llama.cpp:
 	fi
 	cd llama.cpp && git checkout -b build $(LLAMA_VERSION) && git submodule update --init --recursive --depth 1
 
-llama.cpp/examples/grpc-server:
+llama.cpp/examples/grpc-server: llama.cpp
 	mkdir -p llama.cpp/examples/grpc-server
-	cp -r $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
-	cp -r $(abspath ./)/grpc-server.cpp llama.cpp/examples/grpc-server/
-	cp -rfv $(abspath ./)/json.hpp llama.cpp/examples/grpc-server/
-	cp -rfv $(abspath ./)/utils.hpp llama.cpp/examples/grpc-server/
-	echo "add_subdirectory(grpc-server)" >> llama.cpp/examples/CMakeLists.txt
-## XXX: In some versions of CMake clip wasn't being built before llama.
-## This is an hack for now, but it should be fixed in the future.
-	cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
-	cp -rfv llama.cpp/examples/llava/clip.cpp llama.cpp/examples/grpc-server/clip.cpp
+	bash prepare.sh
 
 rebuild:
-	cp -rfv $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
-	cp -rfv $(abspath ./)/grpc-server.cpp llama.cpp/examples/grpc-server/
-	cp -rfv $(abspath ./)/json.hpp llama.cpp/examples/grpc-server/
+	bash prepare.sh
 	rm -rf grpc-server
 	$(MAKE) grpc-server
 
-clean:
-	rm -rf llama.cpp
+purge:
+	rm -rf llama.cpp/build
+	rm -rf llama.cpp/examples/grpc-server
 	rm -rf grpc-server
 
+clean: purge
+	rm -rf llama.cpp
+
 grpc-server: llama.cpp llama.cpp/examples/grpc-server
+	@echo "Building grpc-server with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
 ifneq (,$(findstring sycl,$(BUILD_TYPE)))
 	bash -c "source $(ONEAPI_VARS); \
-	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release"	
+	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release $(TARGET)"
 else
-	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release
+	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release $(TARGET)
 endif
 	cp llama.cpp/build/bin/grpc-server .

backend/cpp/llama/grpc-server.cpp

@@ -11,7 +11,8 @@
 #include <memory>
 #include <string>
 #include <getopt.h>
-#include "../llava/clip.h"
+#include "clip.h"
+#include "llava.h"
 #include "stb_image.h"
 #include "common.h"
 #include "json.hpp"
@@ -32,6 +33,7 @@
 #include <grpcpp/grpcpp.h>
 #include <grpcpp/health_check_service_interface.h>
 #include <atomic>
+#include <signal.h>
 
 using grpc::Server;
 using grpc::ServerBuilder;
@@ -51,12 +53,16 @@ struct server_params
     std::string hostname = "127.0.0.1";
     std::vector<std::string> api_keys;
     std::string public_path = "examples/server/public";
+    std::string chat_template = "";
     int32_t port = 8080;
     int32_t read_timeout = 600;
     int32_t write_timeout = 600;
+    bool slots_endpoint = true;
+    bool metrics_endpoint = false;
 };
 
 bool server_verbose = false;
+bool server_log_json = true;
 
 static size_t common_part(const std::vector<llama_token> &a, const std::vector<llama_token> &b)
 {
@@ -172,6 +178,7 @@ struct llama_client_slot
     int32_t n_decoded   = 0;
     int32_t n_remaining = -1;
     int32_t i_batch     = -1;
+    int32_t n_predict   = -1;
 
     int32_t num_prompt_tokens           = 0;
     int32_t num_prompt_tokens_processed = 0;
@@ -311,12 +318,76 @@ struct llama_client_slot
     }
 
     void print_timings() const {
-        LOG_TEE("\n");
-        LOG_TEE("%s: prompt eval time = %10.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)\n",
-            __func__, t_prompt_processing, num_prompt_tokens_processed, t_prompt_processing / num_prompt_tokens_processed, 1e3 / t_prompt_processing * num_prompt_tokens_processed);
-        LOG_TEE("%s:        eval time = %10.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)\n",
-            __func__, t_token_generation, n_decoded,t_token_generation / n_decoded, 1e3 / t_token_generation * n_decoded);
-        LOG_TEE("%s:       total time = %10.2f ms\n", __func__, t_prompt_processing + t_token_generation);
+       char buffer[512];
+        double t_token = t_prompt_processing / num_prompt_tokens_processed;
+        double n_tokens_second = 1e3 / t_prompt_processing * num_prompt_tokens_processed;
+        sprintf(buffer, "prompt eval time     = %10.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)",
+                t_prompt_processing, num_prompt_tokens_processed,
+                t_token, n_tokens_second);
+        LOG_INFO(buffer, {
+            {"slot_id",                     id},
+            {"task_id",                     task_id},
+            {"t_prompt_processing",         t_prompt_processing},
+            {"num_prompt_tokens_processed", num_prompt_tokens_processed},
+            {"t_token",                     t_token},
+            {"n_tokens_second",             n_tokens_second},
+        });
+
+        t_token = t_token_generation / n_decoded;
+        n_tokens_second = 1e3 / t_token_generation * n_decoded;
+        sprintf(buffer, "generation eval time = %10.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)",
+                t_token_generation, n_decoded,
+                t_token, n_tokens_second);
+        LOG_INFO(buffer, {
+            {"slot_id",            id},
+            {"task_id",            task_id},
+            {"t_token_generation", t_token_generation},
+            {"n_decoded",          n_decoded},
+            {"t_token",            t_token},
+            {"n_tokens_second",    n_tokens_second},
+        });
+
+        sprintf(buffer, "          total time = %10.2f ms", t_prompt_processing + t_token_generation);
+        LOG_INFO(buffer, {
+            {"slot_id",             id},
+            {"task_id",             task_id},
+            {"t_prompt_processing", t_prompt_processing},
+            {"t_token_generation",  t_token_generation},
+            {"t_total",             t_prompt_processing + t_token_generation},
+        });
+    }
+};
+
+struct llama_metrics {
+    uint64_t n_prompt_tokens_processed_total = 0;
+    uint64_t n_tokens_predicted_total        = 0;
+
+    uint64_t n_prompt_tokens_processed = 0;
+    uint64_t t_prompt_processing       = 0;
+
+    uint64_t n_tokens_predicted       = 0;
+    uint64_t t_tokens_generation      = 0;
+
+
+    void on_prompt_eval(const llama_client_slot &slot) {
+        n_prompt_tokens_processed_total += slot.num_prompt_tokens_processed;
+
+        n_prompt_tokens_processed += slot.num_prompt_tokens_processed;
+        t_prompt_processing       += slot.t_prompt_processing;
+    }
+
+    void on_prediction(const llama_client_slot &slot) {
+        n_tokens_predicted_total += slot.n_decoded;
+
+        n_tokens_predicted  += slot.n_decoded;
+        t_tokens_generation += slot.t_token_generation;
+    }
+
+    void reset_bucket() {
+        n_prompt_tokens_processed = 0;
+        t_prompt_processing       = 0;
+        n_tokens_predicted        = 0;
+        t_tokens_generation       = 0;
     }
 };
 
@@ -349,10 +420,13 @@ struct llama_server_context
 
     // slots / clients
     std::vector<llama_client_slot> slots;
+    json default_generation_settings_for_props;
 
     llama_server_queue queue_tasks;
     llama_server_response queue_results;
 
+    llama_metrics metrics;
+
     ~llama_server_context()
     {
         if (ctx)
@@ -372,7 +446,7 @@ struct llama_server_context
         params = params_;
         if (!params.mmproj.empty()) {
             multimodal = true;
-            LOG_TEE("Multi Modal Mode Enabled");
+            LOG_INFO("Multi Modal Mode Enabled", {});
             clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
             if(clp_ctx == nullptr) {
                 LOG_ERROR("unable to load clip model", {{"model", params.mmproj}});
@@ -409,21 +483,35 @@ struct llama_server_context
         return true;
     }
 
+    void validate_model_chat_template(server_params & sparams) {
+        llama_chat_message chat[] = {{"user", "test"}};
+        std::vector<char> buf(1);
+        int res = llama_chat_apply_template(model, nullptr, chat, 1, true, buf.data(), buf.size());
+        if (res < 0) {
+            LOG_ERROR("The chat template comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {});
+            sparams.chat_template = "<|im_start|>"; // llama_chat_apply_template only checks if <|im_start|> exist in the template
+        }
+    }
+
     void initialize() {
         // create slots
         all_slots_are_idle = true;
 
         const int32_t n_ctx_slot = n_ctx / params.n_parallel;
 
-        LOG_TEE("Available slots:\n");
+        LOG_INFO("initializing slots", {{"n_slots", params.n_parallel}});
         for (int i = 0; i < params.n_parallel; i++)
         {
             llama_client_slot slot;
 
             slot.id = i;
             slot.n_ctx = n_ctx_slot;
+            slot.n_predict = params.n_predict;
 
-            LOG_TEE(" -> Slot %i - max context: %i\n", slot.id, n_ctx_slot);
+            LOG_INFO("new slot", {
+                {"slot_id",    slot.id},
+                {"n_ctx_slot", slot.n_ctx}
+            });
 
             const int ga_n = params.grp_attn_n;
             const int ga_w = params.grp_attn_w;
@@ -433,7 +521,12 @@ struct llama_server_context
                 GGML_ASSERT(ga_w % ga_n == 0            && "ga_w must be a multiple of ga_n");     // NOLINT
                 //GGML_ASSERT(n_ctx_train % ga_w == 0     && "n_ctx_train must be a multiple of ga_w");    // NOLINT
                 //GGML_ASSERT(n_ctx >= n_ctx_train * ga_n && "n_ctx must be at least n_ctx_train * ga_n"); // NOLINT
-                LOG_TEE(" -> Slot %i - self-extend: ga_n = %d, ga_w = %d\n", slot.id, ga_n, ga_w);
+
+                LOG_INFO("slot self-extend", {
+                    {"slot_id",   slot.id},
+                    {"ga_n",      ga_n},
+                    {"ga_w",      ga_w}
+                });
             }
 
             slot.ga_i = 0;
@@ -445,11 +538,10 @@ struct llama_server_context
             slots.push_back(slot);
         }
 
-        batch = llama_batch_init(n_ctx, 0, params.n_parallel);
+        default_generation_settings_for_props = get_formated_generation(slots.front());
+        default_generation_settings_for_props["seed"] = -1;
 
-        // empty system prompt
-        system_prompt = "";
-        system_tokens.clear();
+        batch = llama_batch_init(n_ctx, 0, params.n_parallel);
     }
 
     std::vector<llama_token> tokenize(const json & json_prompt, bool add_bos) const
@@ -526,28 +618,40 @@ struct llama_server_context
     bool launch_slot_with_data(llama_client_slot* &slot, json data) {
         slot_params default_params;
         llama_sampling_params default_sparams;
+ 
+        slot->params.stream             = json_value(data, "stream",            false);
+        slot->params.cache_prompt       = json_value(data, "cache_prompt",      false);
+        slot->params.n_predict          = json_value(data, "n_predict",         default_params.n_predict);
+        slot->sparams.top_k             = json_value(data, "top_k",             default_sparams.top_k);
+        slot->sparams.top_p             = json_value(data, "top_p",             default_sparams.top_p);
+        slot->sparams.min_p             = json_value(data, "min_p",             default_sparams.min_p);
+        slot->sparams.tfs_z             = json_value(data, "tfs_z",             default_sparams.tfs_z);
+        slot->sparams.typical_p         = json_value(data, "typical_p",         default_sparams.typical_p);
+        slot->sparams.temp              = json_value(data, "temperature",       default_sparams.temp);
+        slot->sparams.dynatemp_range    = json_value(data, "dynatemp_range",    default_sparams.dynatemp_range);
+        slot->sparams.dynatemp_exponent = json_value(data, "dynatemp_exponent", default_sparams.dynatemp_exponent);
+        slot->sparams.penalty_last_n    = json_value(data, "repeat_last_n",     default_sparams.penalty_last_n);
+        slot->sparams.penalty_repeat    = json_value(data, "repeat_penalty",    default_sparams.penalty_repeat);
+        slot->sparams.penalty_freq      = json_value(data, "frequency_penalty", default_sparams.penalty_freq);
+        slot->sparams.penalty_present   = json_value(data, "presence_penalty",  default_sparams.penalty_present);
+        slot->sparams.mirostat          = json_value(data, "mirostat",          default_sparams.mirostat);
+        slot->sparams.mirostat_tau      = json_value(data, "mirostat_tau",      default_sparams.mirostat_tau);
+        slot->sparams.mirostat_eta      = json_value(data, "mirostat_eta",      default_sparams.mirostat_eta);
+        slot->sparams.penalize_nl       = json_value(data, "penalize_nl",       default_sparams.penalize_nl);
+        slot->params.n_keep             = json_value(data, "n_keep",            slot->params.n_keep);
+        slot->params.seed               = json_value(data, "seed",              default_params.seed);
+        slot->sparams.grammar           = json_value(data, "grammar",           default_sparams.grammar);
+        slot->sparams.n_probs           = json_value(data, "n_probs",           default_sparams.n_probs);
+        slot->sparams.min_keep          = json_value(data, "min_keep",          default_sparams.min_keep);
 
-        slot->params.stream           = json_value(data, "stream",            false);
-        slot->params.cache_prompt     = json_value(data, "cache_prompt",      false);
-        slot->params.n_predict        = json_value(data, "n_predict",         default_params.n_predict);
-        slot->sparams.top_k           = json_value(data, "top_k",             default_sparams.top_k);
-        slot->sparams.top_p           = json_value(data, "top_p",             default_sparams.top_p);
-        slot->sparams.min_p           = json_value(data, "min_p",             default_sparams.min_p);
-        slot->sparams.tfs_z           = json_value(data, "tfs_z",             default_sparams.tfs_z);
-        slot->sparams.typical_p       = json_value(data, "typical_p",         default_sparams.typical_p);
-        slot->sparams.temp            = json_value(data, "temperature",       default_sparams.temp);
-        slot->sparams.penalty_last_n  = json_value(data, "repeat_last_n",     default_sparams.penalty_last_n);
-        slot->sparams.penalty_repeat  = json_value(data, "repeat_penalty",    default_sparams.penalty_repeat);
-        slot->sparams.penalty_freq    = json_value(data, "frequency_penalty", default_sparams.penalty_freq);
-        slot->sparams.penalty_present = json_value(data, "presence_penalty",  default_sparams.penalty_present);
-        slot->sparams.mirostat        = json_value(data, "mirostat",          default_sparams.mirostat);
-        slot->sparams.mirostat_tau    = json_value(data, "mirostat_tau",      default_sparams.mirostat_tau);
-        slot->sparams.mirostat_eta    = json_value(data, "mirostat_eta",      default_sparams.mirostat_eta);
-        slot->sparams.penalize_nl     = json_value(data, "penalize_nl",       default_sparams.penalize_nl);
-        slot->params.n_keep           = json_value(data, "n_keep",            slot->params.n_keep);
-        slot->params.seed             = json_value(data, "seed",              default_params.seed);
-        slot->sparams.grammar         = json_value(data, "grammar",           default_sparams.grammar);
-        slot->sparams.n_probs         = json_value(data, "n_probs",           default_sparams.n_probs);
+        if (slot->n_predict > 0 && slot->params.n_predict > slot->n_predict) {
+            // Might be better to reject the request with a 400 ?
+            LOG_WARNING("Max tokens to predict exceeds server configuration", {
+                {"params.n_predict", slot->params.n_predict},
+                {"slot.n_predict", slot->n_predict},
+            });
+            slot->params.n_predict = slot->n_predict;
+        }
 
         // infill
         if (data.count("input_prefix") != 0)
@@ -626,18 +730,36 @@ struct llama_server_context
             const int n_vocab = llama_n_vocab(model);
             for (const auto &el : *logit_bias)
             {
-                if (el.is_array() && el.size() == 2 && el[0].is_number_integer())
+                if (el.is_array() && el.size() == 2)
                 {
-                    llama_token tok = el[0].get<llama_token>();
-                    if (tok >= 0 && tok < n_vocab)
+                    float bias;
+                    if (el[1].is_number())
                     {
-                        if (el[1].is_number())
+                        bias = el[1].get<float>();
+                    }
+                    else if (el[1].is_boolean() && !el[1].get<bool>())
+                    {
+                        bias = -INFINITY;
+                    }
+                    else
+                    {
+                        continue;
+                    }
+
+                    if (el[0].is_number_integer())
+                    {
+                        llama_token tok = el[0].get<llama_token>();
+                        if (tok >= 0 && tok < n_vocab)
                         {
-                            slot->sparams.logit_bias[tok] = el[1].get<float>();
+                            slot->sparams.logit_bias[tok] = bias;
                         }
-                        else if (el[1].is_boolean() && !el[1].get<bool>())
+                    }
+                    else if (el[0].is_string())
+                    {
+                        auto toks = llama_tokenize(model, el[0].get<std::string>(), false);
+                        for (auto tok : toks)
                         {
-                            slot->sparams.logit_bias[tok] = -INFINITY;
+                            slot->sparams.logit_bias[tok] = bias;
                         }
                     }
                 }
@@ -658,6 +780,24 @@ struct llama_server_context
             }
         }
 
+        const auto &samplers_sequence = data.find("samplers");
+        if (samplers_sequence != data.end() && samplers_sequence->is_array())
+        {
+            std::vector<std::string> sampler_names;
+            for (const auto &sampler_name : *samplers_sequence)
+            {
+                if (sampler_name.is_string())
+                {
+                    sampler_names.emplace_back(sampler_name);
+                }
+            }
+            slot->sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, false);
+        }
+        else
+        {
+            slot->sparams.samplers_sequence = default_sparams.samplers_sequence;
+        }
+
         if (multimodal)
         {
             const auto &images_data = data.find("image_data");
@@ -672,10 +812,16 @@ struct llama_server_context
                     img_sl.img_data = clip_image_u8_init();
                     if (!clip_image_load_from_bytes(image_buffer.data(), image_buffer.size(), img_sl.img_data))
                     {
-                        LOG_TEE("slot %i - failed to load image [id: %i]\n", slot->id, img_sl.id);
+                        LOG_ERROR("failed to load image", {
+                            {"slot_id",   slot->id},
+                            {"img_sl_id", img_sl.id}
+                        });
                         return false;
                     }
-                    LOG_TEE("slot %i - loaded image\n", slot->id);
+                    LOG_VERBOSE("image loaded", {
+                        {"slot_id",   slot->id},
+                        {"img_sl_id", img_sl.id}
+                    });
                     img_sl.request_encode_image = true;
                     slot->images.push_back(img_sl);
                 }
@@ -735,7 +881,12 @@ struct llama_server_context
 
         all_slots_are_idle = false;
 
-        LOG_TEE("slot %i is processing [task id: %i]\n", slot->id, slot->task_id);
+        LOG_INFO("slot is processing task", {
+            {"slot_id", slot->id},
+            {"task_id", slot->task_id},
+        });
+
+        LOG_TEE("sampling: \n%s\n", llama_sampling_print(slot->sparams).c_str());
 
         return true;
     }
@@ -747,27 +898,44 @@ struct llama_server_context
     }
 
     void update_system_prompt() {
-        system_tokens = ::llama_tokenize(ctx, system_prompt, add_bos_token);
-
-        llama_batch_clear(batch);
-
         kv_cache_clear();
+        system_tokens.clear();
 
-        for (int i = 0; i < (int) system_tokens.size(); ++i)
-        {
-            llama_batch_add(batch, system_tokens[i], i, { 0 }, false);
-        }
+        if (!system_prompt.empty()) {
+            system_tokens = ::llama_tokenize(ctx, system_prompt, add_bos_token);
 
-        if (llama_decode(ctx, batch) != 0)
-        {
-            LOG_TEE("%s: llama_decode() failed\n", __func__);
-            return;
-        }
+            llama_batch_clear(batch);
 
-        // assign the system KV cache to all parallel sequences
-        for (int32_t i = 1; i < params.n_parallel; ++i)
-        {
-            llama_kv_cache_seq_cp(ctx, 0, i, 0, system_tokens.size());
+            for (int i = 0; i < (int)system_tokens.size(); ++i)
+            {
+                llama_batch_add(batch, system_tokens[i], i, { 0 }, false);
+            }
+
+            for (int32_t i = 0; i < (int32_t) batch.n_tokens; i += params.n_batch)
+            {
+                const int32_t n_tokens = std::min(params.n_batch, (int32_t) (batch.n_tokens - i));
+                llama_batch batch_view = {
+                    n_tokens,
+                    batch.token    + i,
+                    nullptr,
+                    batch.pos      + i,
+                    batch.n_seq_id + i,
+                    batch.seq_id   + i,
+                    batch.logits   + i,
+                    0, 0, 0, // unused
+                };
+                if (llama_decode(ctx, batch_view) != 0)
+                {
+                    LOG_TEE("%s: llama_decode() failed\n", __func__);
+                    return;
+                }
+            }
+
+            // assign the system KV cache to all parallel sequences
+            for (int32_t i = 1; i < params.n_parallel; ++i)
+            {
+                llama_kv_cache_seq_cp(ctx, 0, i, 0, system_tokens.size());
+            }
         }
 
         LOG_TEE("system prompt updated\n");
@@ -789,10 +957,8 @@ struct llama_server_context
         name_user      = sys_props.value("anti_prompt", "");
         name_assistant = sys_props.value("assistant_name", "");
 
-        if (slots.size() > 0)
-        {
-            notify_system_prompt_changed();
-        }
+
+        notify_system_prompt_changed();
     }
 
     static size_t find_stopping_strings(const std::string &text, const size_t last_token_size,
@@ -920,7 +1086,7 @@ struct llama_server_context
             slot.has_next_token = false;
         }
 
-        if (!slot.cache_tokens.empty() && result.tok == llama_token_eos(model))
+        if (result.tok == llama_token_eos(model))
         {
             slot.stopped_eos = true;
             slot.has_next_token = false;
@@ -950,28 +1116,12 @@ struct llama_server_context
             {
                 continue;
             }
-            clip_image_f32 * img_res = clip_image_f32_init();
-            if (!clip_image_preprocess(clp_ctx, img.img_data, img_res, /*pad2square =*/ true))
-            {
+
+            if (!llava_image_embed_make_with_clip_img(clp_ctx, params.n_threads, img.img_data, &img.image_embedding, &img.image_tokens)) {
                 LOG_TEE("Error processing the given image");
-                clip_free(clp_ctx);
                 return false;
             }
-            img.image_tokens = clip_n_patches(clp_ctx);
-            img.image_embedding = (float *)malloc(clip_embd_nbytes(clp_ctx));
-            if (!img.image_embedding)
-            {
-                LOG_TEE("Unable to allocate memory for image embeddings\n");
-                clip_free(clp_ctx);
-                return false;
-            }
-            LOG_TEE("slot %i - encoding image [id: %i]\n", slot.id, img.id);
-            if (!clip_image_encode(clp_ctx, params.n_threads, img_res, img.image_embedding))
-            {
-                LOG_TEE("Unable to encode image\n");
-                return false;
-            }
-            clip_image_f32_free(img_res);
+
             img.request_encode_image = false;
         }
 
@@ -990,21 +1140,25 @@ struct llama_server_context
         queue_results.send(res);
     }
 
-    json get_model_props()
-    {
-        return get_formated_generation(slots[0]);
-    }
-
     json get_formated_generation(llama_client_slot &slot)
     {
         const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(model));
         const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() &&
                                 eos_bias->second < 0.0f && std::isinf(eos_bias->second);
+        std::vector<std::string> samplers_sequence;
+        for (const auto &sampler_type : slot.sparams.samplers_sequence)
+        {
+            samplers_sequence.emplace_back(llama_sampling_type_to_str(sampler_type));
+        }
+
         return json {
             {"n_ctx",             slot.n_ctx},
+            {"n_predict",         slot.n_predict},
             {"model",             params.model_alias},
             {"seed",              slot.params.seed},
             {"temperature",       slot.sparams.temp},
+            {"dynatemp_range",    slot.sparams.dynatemp_range},
+            {"dynatemp_exponent", slot.sparams.dynatemp_exponent},
             {"top_k",             slot.sparams.top_k},
             {"top_p",             slot.sparams.top_p},
             {"min_p",             slot.sparams.min_p},
@@ -1027,7 +1181,9 @@ struct llama_server_context
             {"stream",            slot.params.stream},
             {"logit_bias",        slot.sparams.logit_bias},
             {"n_probs",           slot.sparams.n_probs},
+            {"min_keep",          slot.sparams.min_keep},
             {"grammar",           slot.sparams.grammar},
+            {"samplers",          samplers_sequence}
         };
     }
 
@@ -1166,13 +1322,30 @@ struct llama_server_context
         task.multitask_id = multitask_id;
 
         // when a completion task's prompt array is not a singleton, we split it into multiple requests
-        if (task.data.count("prompt") && task.data.at("prompt").size() > 1)
-        {
-            split_multiprompt_task(task_id, task);
-        }
-
         // otherwise, it's a single-prompt task, we actually queue it
-        queue_tasks.post(task);
+        // if there's numbers in the prompt array it will be treated as an array of tokens
+        if (task.data.count("prompt") != 0 && task.data.at("prompt").size() > 1) {
+            bool numbers = false;
+            for (const auto& e : task.data.at("prompt")) {
+                if (e.is_number()) {
+                    numbers = true;
+                    break;
+                }
+            }
+
+            // NOTE: split_multiprompt_task() does not handle a mix of strings and numbers,
+            // it will completely stall the server. I don't know where the bug for this is.
+            //
+            // if there are numbers, it needs to be treated like a single prompt,
+            // queue_tasks handles a mix of strings and numbers just fine.
+            if (numbers) {
+                queue_tasks.post(task);
+            } else {
+                split_multiprompt_task(task_id, task);
+            }
+        } else {
+            queue_tasks.post(task);
+        }
     }
 
     // for multiple images processing
@@ -1254,7 +1427,10 @@ struct llama_server_context
     void split_multiprompt_task(int multitask_id, task_server& multiprompt_task)
     {
         int prompt_count = multiprompt_task.data.at("prompt").size();
-        assert(prompt_count > 1);
+        if (prompt_count <= 1) {
+            send_error(multiprompt_task, "error while handling multiple prompts");
+            return;
+        }
 
         // generate all the ID for subtask
         std::vector<int> subtask_ids(prompt_count);
@@ -1286,7 +1462,7 @@ struct llama_server_context
                 if (slot == nullptr)
                 {
                     // if no slot is available, we defer this task for processing later
-                    LOG_VERBOSE("no slot is available", {});
+                    LOG_VERBOSE("no slot is available", {{"task_id", task.id}});
                     queue_tasks.defer(task);
                     break;
                 }
@@ -1360,7 +1536,7 @@ struct llama_server_context
     bool update_slots() {
         if (system_need_update)
         {
-            LOG_TEE("updating system prompt\n");
+            LOG_INFO("updating system prompt", {});
             update_system_prompt();
         }
 
@@ -1370,12 +1546,13 @@ struct llama_server_context
         {
             if (system_prompt.empty() && clean_kv_cache)
             {
-                LOG_TEE("all slots are idle and system prompt is empty, clear the KV cache\n");
+                LOG_INFO("all slots are idle and system prompt is empty, clear the KV cache", {});
                 kv_cache_clear();
             }
             return true;
         }
 
+        LOG_VERBOSE("posting NEXT_RESPONSE", {});
         task_server task;
         task.type = TASK_TYPE_NEXT_RESPONSE;
         task.target_id = -1;
@@ -1406,6 +1583,7 @@ struct llama_server_context
         }
 
         // decode any currently ongoing sequences
+        LOG_VERBOSE("decoding ongoing sequences", {});
         for (auto & slot : slots)
         {
             // release the slot
@@ -1415,7 +1593,15 @@ struct llama_server_context
                 slot.command = NONE;
                 slot.t_last_used = ggml_time_us();
 
-                LOG_TEE("slot %d released (%d tokens in cache)\n", slot.id, (int) slot.cache_tokens.size());
+                LOG_INFO("slot released", {
+                    {"slot_id",         slot.id},
+                    {"task_id",         slot.task_id},
+                    {"n_ctx",           n_ctx},
+                    {"n_past",          slot.n_past},
+                    {"n_system_tokens", system_tokens.size()},
+                    {"n_cache_tokens",  slot.cache_tokens.size()},
+                    {"truncated",       slot.truncated}
+                });
                 queue_tasks.notify_slot_changed();
 
                 continue;
@@ -1542,6 +1728,14 @@ struct llama_server_context
                         }
 
                         slot.n_past = common_part(slot.cache_tokens, prompt_tokens);
+
+                        // the last token of the cache is not in the KV cache until the next call to llama_decode
+                        // (it was sampled, pushed into the "cache_tokens", but not yet put in the context)
+                        if (slot.n_past > 0 && slot.n_past == (int32_t) slot.cache_tokens.size())
+                        {
+                            slot.n_past -= 1;
+                        }
+
                         slot.num_prompt_tokens_processed = slot.num_prompt_tokens - slot.n_past;
 
                         if (slot.ga_n != 1)
@@ -1563,19 +1757,23 @@ struct llama_server_context
                             slot.ga_i = ga_i;
                         }
 
-                        LOG_TEE("slot %d : in cache: %i tokens | to process: %i tokens\n", slot.id, slot.n_past, slot.num_prompt_tokens_processed);
+                        LOG_INFO("slot progression", {
+                            { "slot_id", slot.id },
+                            { "task_id", slot.task_id },
+                            { "n_past",  slot.n_past },
+                            { "num_prompt_tokens_processed", slot.num_prompt_tokens_processed }
+                        });
                     }
 
-                    LOG_TEE("slot %d : kv cache rm - [%d, end)\n", slot.id, (int) system_tokens.size() + slot.n_past);
-
-                    llama_kv_cache_seq_rm(ctx, slot.id, system_tokens.size() + slot.n_past, -1);
-
                     slot.cache_tokens = prompt_tokens;
 
                     if (slot.n_past == slot.num_prompt_tokens && slot.n_past > 0)
                     {
                         // we have to evaluate at least 1 token to generate logits.
-                        LOG_TEE("slot %d : we have to evaluate at least 1 token to generate logits\n", slot.id);
+                        LOG_INFO("we have to evaluate at least 1 token to generate logits", {
+                            { "slot_id", slot.id },
+                            { "task_id", slot.task_id }
+                        });
                         slot.n_past--;
                         if (slot.ga_i > 0)
                         {
@@ -1583,6 +1781,14 @@ struct llama_server_context
                         }
                     }
 
+                    int p0 = (int) system_tokens.size() + slot.n_past;
+                    LOG_INFO("kv cache rm [p0, end)", {
+                        { "slot_id", slot.id },
+                        { "task_id", slot.task_id },
+                        { "p0",      p0 }
+                    });
+                    llama_kv_cache_seq_rm(ctx, slot.id, p0, -1);
+
                     LOG_VERBOSE("prompt ingested", {
                                                     {"n_past",  slot.n_past},
                                                     {"cached",  tokens_to_str(ctx, slot.cache_tokens.cbegin(), slot.cache_tokens.cbegin() + slot.n_past)},
@@ -1616,7 +1822,13 @@ struct llama_server_context
 
                     if (has_images && !ingest_images(slot, n_batch))
                     {
-                        LOG_TEE("failed processing images\n");
+                        LOG_ERROR("failed processing images", {
+                            "slot_id", slot.id,
+                            "task_id", slot.task_id,
+                        });
+                        // FIXME @phymbert: to be properly tested
+                        //  early returning without changing the slot state will block the slot for ever
+                        // no one at the moment is checking the return value
                         return false;
                     }
 
@@ -1658,9 +1870,9 @@ struct llama_server_context
                         LOG_TEE("div:   [%6d, %6d] / %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd, slot.ga_i + ib * bd + slot.ga_w, slot.ga_n, (slot.ga_i + ib * bd) / slot.ga_n, (slot.ga_i + ib * bd + slot.ga_w) / slot.ga_n);
                         LOG_TEE("shift: [%6d, %6d] + %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd + slot.ga_w, slot.n_past_se + ib * bd, dd, slot.ga_i + ib * bd + slot.ga_w + dd, slot.n_past_se + ib * bd + dd);
 
-                        llama_kv_cache_seq_shift(ctx, slot.id, slot.ga_i, slot.n_past_se, ib * bd);
+                        llama_kv_cache_seq_add(ctx, slot.id, slot.ga_i, slot.n_past_se, ib * bd);
                         llama_kv_cache_seq_div(ctx, slot.id, slot.ga_i + ib * bd, slot.ga_i + ib * bd + slot.ga_w,slot.ga_n);
-                        llama_kv_cache_seq_shift(ctx, slot.id, slot.ga_i + ib * bd + slot.ga_w,slot.n_past_se + ib * bd, dd);
+                        llama_kv_cache_seq_add(ctx, slot.id, slot.ga_i + ib * bd + slot.ga_w,slot.n_past_se + ib * bd, dd);
 
                         slot.n_past_se -= bd;
 
@@ -1716,7 +1928,7 @@ struct llama_server_context
                     send_embedding(slot);
                     slot.release();
                     slot.i_batch = -1;
-                    return true;
+                    continue;
                 }
 
                 completion_token_output result;
@@ -1729,6 +1941,7 @@ struct llama_server_context
                 {
                     slot.t_start_genereration = ggml_time_us();
                     slot.t_prompt_processing = (slot.t_start_genereration - slot.t_start_process_prompt) / 1e3;
+                    metrics.on_prompt_eval(slot);
                 }
 
                 llama_token_data_array cur_p = { slot.ctx_sampling->cur.data(), slot.ctx_sampling->cur.size(), false };
@@ -1751,11 +1964,14 @@ struct llama_server_context
                     slot.release();
                     slot.print_timings();
                     send_final_response(slot);
+                    metrics.on_prediction(slot);
                 }
 
                 slot.i_batch = -1;
             }
         }
+
+        LOG_VERBOSE("slots updated", {});
         return true;
     }
 
@@ -1784,18 +2000,6 @@ static json format_partial_response(
     return res;
 }
 
-static json format_tokenizer_response(const std::vector<llama_token> &tokens)
-{
-    return json{
-        {"tokens", tokens}};
-}
-
-static json format_detokenized_response(std::string content)
-{
-    return json{
-        {"content", content}};
-}
-
 struct token_translator
 {
     llama_context * ctx;
@@ -1819,6 +2023,9 @@ static void append_to_generated_text_from_generated_token_probs(llama_server_con
     }
 }
 
+std::function<void(int)> shutdown_handler;
+inline void signal_handler(int signal) { shutdown_handler(signal); }
+
 /////////////////////////////////
 ////////////////////////////////
 //////// LOCALAI code starts below here
@@ -2012,6 +2219,12 @@ static void params_parse(const backend::ModelOptions* request,
     } else {
         params.n_parallel = 1;
     }
+
+    const char *llama_grpc_servers = std::getenv("LLAMACPP_GRPC_SERVERS");
+    if (llama_grpc_servers != NULL) {
+        params.rpc_servers = std::string(llama_grpc_servers);
+    }
+    
     // TODO: Add yarn
 
     if (!request->tensorsplit().empty()) {
@@ -2049,11 +2262,14 @@ static void params_parse(const backend::ModelOptions* request,
     }
     params.use_mlock = request->mlock();
     params.use_mmap = request->mmap();
+    params.flash_attn = request->flashattention();
+    params.no_kv_offload = request->nokvoffload();
+
     params.embedding = request->embeddings();
 
-    if (request->ropescaling() == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_NONE; }
-    else if (request->ropescaling() == "yarn")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_YARN; }
-    else { params.rope_scaling_type = LLAMA_ROPE_SCALING_LINEAR; }
+    if (request->ropescaling() == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_NONE; }
+    else if (request->ropescaling() == "yarn")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_YARN; }
+    else { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_LINEAR; }
     if ( request->yarnextfactor() != 0.0f ) {
         params.yarn_ext_factor = request->yarnextfactor();
     }
@@ -2089,7 +2305,8 @@ public:
     gpt_params params;
     params_parse(request, params);
 
-    llama_backend_init(params.numa);
+    llama_backend_init();
+    llama_numa_init(params.numa);
 
     // load the model
     if (!llama.load_model(params))
@@ -2126,6 +2343,10 @@ public:
                 std::string completion_text = result.result_json.value("content", "");
 
                 reply.set_message(completion_text);
+                int32_t tokens_predicted = result.result_json.value("tokens_predicted", 0);
+                reply.set_tokens(tokens_predicted);
+                int32_t tokens_evaluated = result.result_json.value("tokens_evaluated", 0);
+                reply.set_prompt_tokens(tokens_evaluated);
 
                 // Send the reply
                 writer->Write(reply);
@@ -2151,6 +2372,10 @@ public:
         task_result result = llama.queue_results.recv(task_id);
         if (!result.error && result.stop) {
             completion_text = result.result_json.value("content", "");
+            int32_t tokens_predicted = result.result_json.value("tokens_predicted", 0);
+            int32_t tokens_evaluated = result.result_json.value("tokens_evaluated", 0);
+            reply->set_prompt_tokens(tokens_evaluated);
+            reply->set_tokens(tokens_predicted);
             reply->set_message(completion_text);
         }
         else

backend/cpp/llama/prepare.sh

@@ -0,0 +1,20 @@
+#!/bin/bash
+
+cp -r CMakeLists.txt llama.cpp/examples/grpc-server/
+cp -r grpc-server.cpp llama.cpp/examples/grpc-server/
+cp -rfv json.hpp llama.cpp/examples/grpc-server/
+cp -rfv utils.hpp llama.cpp/examples/grpc-server/
+    
+if grep -q "grpc-server" llama.cpp/examples/CMakeLists.txt; then
+    echo "grpc-server already added"
+else
+    echo "add_subdirectory(grpc-server)" >> llama.cpp/examples/CMakeLists.txt
+fi
+
+## XXX: In some versions of CMake clip wasn't being built before llama.
+## This is an hack for now, but it should be fixed in the future.
+cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
+cp -rfv llama.cpp/examples/llava/llava.cpp llama.cpp/examples/grpc-server/llava.cpp
+echo '#include "llama.h"' > llama.cpp/examples/grpc-server/llava.h
+cat llama.cpp/examples/llava/llava.h >> llama.cpp/examples/grpc-server/llava.h
+cp -rfv llama.cpp/examples/llava/clip.cpp llama.cpp/examples/grpc-server/clip.cpp

backend/go/image/stablediffusion/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/image/stablediffusion/stablediffusion.go

@@ -3,9 +3,9 @@ package main
 // This is a wrapper to statisfy the GRPC service interface
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/stablediffusion"
 )
 
 type Image struct {

backend/go/image/tinydream/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/image/tinydream/tinydream.go

@@ -3,9 +3,9 @@ package main
 // This is a wrapper to statisfy the GRPC service interface
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/tinydream"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/tinydream"
 )
 
 type Image struct {

backend/go/llm/bert/bert.go

@@ -5,8 +5,8 @@ package main
 import (
 	bert "github.com/go-skynet/go-bert.cpp"
 
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )
 
 type Embeddings struct {

backend/go/llm/bert/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/gpt4all/gpt4all.go

@@ -5,8 +5,8 @@ package main
 import (
 	"fmt"
 
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
 )
 

backend/go/llm/gpt4all/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/langchain/langchain.go

@@ -4,10 +4,11 @@ package main
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
 	"fmt"
+	"os"
 
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/langchain"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/langchain"
 )
 
 type LLM struct {
@@ -18,9 +19,14 @@ type LLM struct {
 }
 
 func (llm *LLM) Load(opts *pb.ModelOptions) error {
-	llm.langchain, _ = langchain.NewHuggingFace(opts.Model)
+	var err error
+	hfToken := os.Getenv("HUGGINGFACEHUB_API_TOKEN")
+	if hfToken == "" {
+		return fmt.Errorf("no huggingface token provided")
+	}
+	llm.langchain, err = langchain.NewHuggingFace(opts.Model, hfToken)
 	llm.model = opts.Model
-	return nil
+	return err
 }
 
 func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {

backend/go/llm/langchain/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/llama-ggml/llama.go

@@ -5,9 +5,9 @@ package main
 import (
 	"fmt"
 
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
 	"github.com/go-skynet/go-llama.cpp"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )
 
 type LLM struct {

backend/go/llm/llama-ggml/main.go

@@ -3,7 +3,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/llama/llama.go

@@ -6,9 +6,9 @@ import (
 	"fmt"
 	"path/filepath"
 
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
 	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
 	"github.com/go-skynet/go-llama.cpp"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
 )
 
 type LLM struct {

backend/go/llm/llama/main.go

@@ -7,7 +7,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/rwkv/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/llm/rwkv/rwkv.go

@@ -7,8 +7,8 @@ import (
 	"path/filepath"
 
 	"github.com/donomii/go-rwkv.cpp"
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )
 
 const tokenizerSuffix = ".tokenizer.json"
@@ -31,7 +31,7 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
 	model := rwkv.LoadFiles(opts.ModelFile, tokenizerPath, uint32(opts.GetThreads()))
 
 	if model == nil {
-		return fmt.Errorf("could not load model")
+		return fmt.Errorf("rwkv could not load model")
 	}
 	llm.rwkv = model
 	return nil

backend/go/stores/debug.go

@@ -0,0 +1,14 @@
+//go:build debug
+// +build debug
+
+package main
+
+import (
+	"github.com/rs/zerolog/log"
+)
+
+func assert(cond bool, msg string) {
+	if !cond {
+		log.Fatal().Stack().Msg(msg)
+	}
+}

backend/go/stores/main.go

@@ -0,0 +1,26 @@
+package main
+
+// Note: this is started internally by LocalAI and a server is allocated for each store
+
+import (
+	"flag"
+	"os"
+
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
+	"github.com/rs/zerolog"
+	"github.com/rs/zerolog/log"
+)
+
+var (
+	addr = flag.String("addr", "localhost:50051", "the address to connect to")
+)
+
+func main() {
+	log.Logger = log.Output(zerolog.ConsoleWriter{Out: os.Stderr})
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, NewStore()); err != nil {
+		panic(err)
+	}
+}

backend/go/stores/production.go

@@ -0,0 +1,7 @@
+//go:build !debug
+// +build !debug
+
+package main
+
+func assert(cond bool, msg string) {
+}

backend/go/stores/store.go

@@ -0,0 +1,507 @@
+package main
+
+// This is a wrapper to statisfy the GRPC service interface
+// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
+import (
+	"container/heap"
+	"fmt"
+	"math"
+	"slices"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+
+	"github.com/rs/zerolog/log"
+)
+
+type Store struct {
+	base.SingleThread
+
+	// The sorted keys
+	keys [][]float32
+	// The sorted values
+	values [][]byte
+
+	// If for every K it holds that ||k||^2 = 1, then we can use the normalized distance functions
+	// TODO: Should we normalize incoming keys if they are not instead?
+	keysAreNormalized bool
+	// The first key decides the length of the keys
+	keyLen int
+}
+
+// TODO: Only used for sorting using Go's builtin implementation. The interfaces are columnar because
+// that's theoretically best for memory layout and cache locality, but this isn't optimized yet.
+type Pair struct {
+	Key   []float32
+	Value []byte
+}
+
+func NewStore() *Store {
+	return &Store{
+		keys:              make([][]float32, 0),
+		values:            make([][]byte, 0),
+		keysAreNormalized: true,
+		keyLen:            -1,
+	}
+}
+
+func compareSlices(k1, k2 []float32) int {
+	assert(len(k1) == len(k2), fmt.Sprintf("compareSlices: len(k1) = %d, len(k2) = %d", len(k1), len(k2)))
+
+	return slices.Compare(k1, k2)
+}
+
+func hasKey(unsortedSlice [][]float32, target []float32) bool {
+	return slices.ContainsFunc(unsortedSlice, func(k []float32) bool {
+		return compareSlices(k, target) == 0
+	})
+}
+
+func findInSortedSlice(sortedSlice [][]float32, target []float32) (int, bool) {
+	return slices.BinarySearchFunc(sortedSlice, target, func(k, t []float32) int {
+		return compareSlices(k, t)
+	})
+}
+
+func isSortedPairs(kvs []Pair) bool {
+	for i := 1; i < len(kvs); i++ {
+		if compareSlices(kvs[i-1].Key, kvs[i].Key) > 0 {
+			return false
+		}
+	}
+
+	return true
+}
+
+func isSortedKeys(keys [][]float32) bool {
+	for i := 1; i < len(keys); i++ {
+		if compareSlices(keys[i-1], keys[i]) > 0 {
+			return false
+		}
+	}
+
+	return true
+}
+
+func sortIntoKeySlicese(keys []*pb.StoresKey) [][]float32 {
+	ks := make([][]float32, len(keys))
+
+	for i, k := range keys {
+		ks[i] = k.Floats
+	}
+
+	slices.SortFunc(ks, compareSlices)
+
+	assert(len(ks) == len(keys), fmt.Sprintf("len(ks) = %d, len(keys) = %d", len(ks), len(keys)))
+	assert(isSortedKeys(ks), "keys are not sorted")
+
+	return ks
+}
+
+func (s *Store) Load(opts *pb.ModelOptions) error {
+	return nil
+}
+
+// Sort the incoming kvs and merge them with the existing sorted kvs
+func (s *Store) StoresSet(opts *pb.StoresSetOptions) error {
+	if len(opts.Keys) == 0 {
+		return fmt.Errorf("no keys to add")
+	}
+
+	if len(opts.Keys) != len(opts.Values) {
+		return fmt.Errorf("len(keys) = %d, len(values) = %d", len(opts.Keys), len(opts.Values))
+	}
+
+	if s.keyLen == -1 {
+		s.keyLen = len(opts.Keys[0].Floats)
+	} else {
+		if len(opts.Keys[0].Floats) != s.keyLen {
+			return fmt.Errorf("Try to add key with length %d when existing length is %d", len(opts.Keys[0].Floats), s.keyLen)
+		}
+	}
+
+	kvs := make([]Pair, len(opts.Keys))
+
+	for i, k := range opts.Keys {
+		if s.keysAreNormalized && !isNormalized(k.Floats) {
+			s.keysAreNormalized = false
+			var sample []float32
+			if len(s.keys) > 5 {
+				sample = k.Floats[:5]
+			} else {
+				sample = k.Floats
+			}
+			log.Debug().Msgf("Key is not normalized: %v", sample)
+		}
+
+		kvs[i] = Pair{
+			Key:   k.Floats,
+			Value: opts.Values[i].Bytes,
+		}
+	}
+
+	slices.SortFunc(kvs, func(a, b Pair) int {
+		return compareSlices(a.Key, b.Key)
+	})
+
+	assert(len(kvs) == len(opts.Keys), fmt.Sprintf("len(kvs) = %d, len(opts.Keys) = %d", len(kvs), len(opts.Keys)))
+	assert(isSortedPairs(kvs), "keys are not sorted")
+
+	l := len(kvs) + len(s.keys)
+	merge_ks := make([][]float32, 0, l)
+	merge_vs := make([][]byte, 0, l)
+
+	i, j := 0, 0
+	for {
+		if i+j >= l {
+			break
+		}
+
+		if i >= len(kvs) {
+			merge_ks = append(merge_ks, s.keys[j])
+			merge_vs = append(merge_vs, s.values[j])
+			j++
+			continue
+		}
+
+		if j >= len(s.keys) {
+			merge_ks = append(merge_ks, kvs[i].Key)
+			merge_vs = append(merge_vs, kvs[i].Value)
+			i++
+			continue
+		}
+
+		c := compareSlices(kvs[i].Key, s.keys[j])
+		if c < 0 {
+			merge_ks = append(merge_ks, kvs[i].Key)
+			merge_vs = append(merge_vs, kvs[i].Value)
+			i++
+		} else if c > 0 {
+			merge_ks = append(merge_ks, s.keys[j])
+			merge_vs = append(merge_vs, s.values[j])
+			j++
+		} else {
+			merge_ks = append(merge_ks, kvs[i].Key)
+			merge_vs = append(merge_vs, kvs[i].Value)
+			i++
+			j++
+		}
+	}
+
+	assert(len(merge_ks) == l, fmt.Sprintf("len(merge_ks) = %d, l = %d", len(merge_ks), l))
+	assert(isSortedKeys(merge_ks), "merge keys are not sorted")
+
+	s.keys = merge_ks
+	s.values = merge_vs
+
+	return nil
+}
+
+func (s *Store) StoresDelete(opts *pb.StoresDeleteOptions) error {
+	if len(opts.Keys) == 0 {
+		return fmt.Errorf("no keys to delete")
+	}
+
+	if len(opts.Keys) == 0 {
+		return fmt.Errorf("no keys to add")
+	}
+
+	if s.keyLen == -1 {
+		s.keyLen = len(opts.Keys[0].Floats)
+	} else {
+		if len(opts.Keys[0].Floats) != s.keyLen {
+			return fmt.Errorf("Trying to delete key with length %d when existing length is %d", len(opts.Keys[0].Floats), s.keyLen)
+		}
+	}
+
+	ks := sortIntoKeySlicese(opts.Keys)
+
+	l := len(s.keys) - len(ks)
+	merge_ks := make([][]float32, 0, l)
+	merge_vs := make([][]byte, 0, l)
+
+	tail_ks := s.keys
+	tail_vs := s.values
+	for _, k := range ks {
+		j, found := findInSortedSlice(tail_ks, k)
+
+		if found {
+			merge_ks = append(merge_ks, tail_ks[:j]...)
+			merge_vs = append(merge_vs, tail_vs[:j]...)
+			tail_ks = tail_ks[j+1:]
+			tail_vs = tail_vs[j+1:]
+		} else {
+			assert(!hasKey(s.keys, k), fmt.Sprintf("Key exists, but was not found: t=%d, %v", len(tail_ks), k))
+		}
+
+		log.Debug().Msgf("Delete: found = %v, t = %d, j = %d, len(merge_ks) = %d, len(merge_vs) = %d", found, len(tail_ks), j, len(merge_ks), len(merge_vs))
+	}
+
+	merge_ks = append(merge_ks, tail_ks...)
+	merge_vs = append(merge_vs, tail_vs...)
+
+	assert(len(merge_ks) <= len(s.keys), fmt.Sprintf("len(merge_ks) = %d, len(s.keys) = %d", len(merge_ks), len(s.keys)))
+
+	s.keys = merge_ks
+	s.values = merge_vs
+
+	assert(len(s.keys) >= l, fmt.Sprintf("len(s.keys) = %d, l = %d", len(s.keys), l))
+	assert(isSortedKeys(s.keys), "keys are not sorted")
+	assert(func() bool {
+		for _, k := range ks {
+			if _, found := findInSortedSlice(s.keys, k); found {
+				return false
+			}
+		}
+		return true
+	}(), "Keys to delete still present")
+
+	if len(s.keys) != l {
+		log.Debug().Msgf("Delete: Some keys not found: len(s.keys) = %d, l = %d", len(s.keys), l)
+	}
+
+	return nil
+}
+
+func (s *Store) StoresGet(opts *pb.StoresGetOptions) (pb.StoresGetResult, error) {
+	pbKeys := make([]*pb.StoresKey, 0, len(opts.Keys))
+	pbValues := make([]*pb.StoresValue, 0, len(opts.Keys))
+	ks := sortIntoKeySlicese(opts.Keys)
+
+	if len(s.keys) == 0 {
+		log.Debug().Msgf("Get: No keys in store")
+	}
+
+	if s.keyLen == -1 {
+		s.keyLen = len(opts.Keys[0].Floats)
+	} else {
+		if len(opts.Keys[0].Floats) != s.keyLen {
+			return pb.StoresGetResult{}, fmt.Errorf("Try to get a key with length %d when existing length is %d", len(opts.Keys[0].Floats), s.keyLen)
+		}
+	}
+
+	tail_k := s.keys
+	tail_v := s.values
+	for i, k := range ks {
+		j, found := findInSortedSlice(tail_k, k)
+
+		if found {
+			pbKeys = append(pbKeys, &pb.StoresKey{
+				Floats: k,
+			})
+			pbValues = append(pbValues, &pb.StoresValue{
+				Bytes: tail_v[j],
+			})
+
+			tail_k = tail_k[j+1:]
+			tail_v = tail_v[j+1:]
+		} else {
+			assert(!hasKey(s.keys, k), fmt.Sprintf("Key exists, but was not found: i=%d, %v", i, k))
+		}
+	}
+
+	if len(pbKeys) != len(opts.Keys) {
+		log.Debug().Msgf("Get: Some keys not found: len(pbKeys) = %d, len(opts.Keys) = %d, len(s.Keys) = %d", len(pbKeys), len(opts.Keys), len(s.keys))
+	}
+
+	return pb.StoresGetResult{
+		Keys:   pbKeys,
+		Values: pbValues,
+	}, nil
+}
+
+func isNormalized(k []float32) bool {
+	var sum float32
+	for _, v := range k {
+		sum += v
+	}
+
+	return sum == 1.0
+}
+
+// TODO: This we could replace with handwritten SIMD code
+func normalizedCosineSimilarity(k1, k2 []float32) float32 {
+	assert(len(k1) == len(k2), fmt.Sprintf("normalizedCosineSimilarity: len(k1) = %d, len(k2) = %d", len(k1), len(k2)))
+
+	var dot float32
+	for i := 0; i < len(k1); i++ {
+		dot += k1[i] * k2[i]
+	}
+
+	assert(dot >= -1 && dot <= 1, fmt.Sprintf("dot = %f", dot))
+
+	// 2.0 * (1.0 - dot) would be the Euclidean distance
+	return dot
+}
+
+type PriorityItem struct {
+	Similarity float32
+	Key        []float32
+	Value      []byte
+}
+
+type PriorityQueue []*PriorityItem
+
+func (pq PriorityQueue) Len() int { return len(pq) }
+
+func (pq PriorityQueue) Less(i, j int) bool {
+	// Inverted because the most similar should be at the top
+	return pq[i].Similarity < pq[j].Similarity
+}
+
+func (pq PriorityQueue) Swap(i, j int) {
+	pq[i], pq[j] = pq[j], pq[i]
+}
+
+func (pq *PriorityQueue) Push(x any) {
+	item := x.(*PriorityItem)
+	*pq = append(*pq, item)
+}
+
+func (pq *PriorityQueue) Pop() any {
+	old := *pq
+	n := len(old)
+	item := old[n-1]
+	*pq = old[0 : n-1]
+	return item
+}
+
+func (s *Store) StoresFindNormalized(opts *pb.StoresFindOptions) (pb.StoresFindResult, error) {
+	tk := opts.Key.Floats
+	top_ks := make(PriorityQueue, 0, int(opts.TopK))
+	heap.Init(&top_ks)
+
+	for i, k := range s.keys {
+		sim := normalizedCosineSimilarity(tk, k)
+		heap.Push(&top_ks, &PriorityItem{
+			Similarity: sim,
+			Key:        k,
+			Value:      s.values[i],
+		})
+
+		if top_ks.Len() > int(opts.TopK) {
+			heap.Pop(&top_ks)
+		}
+	}
+
+	similarities := make([]float32, top_ks.Len())
+	pbKeys := make([]*pb.StoresKey, top_ks.Len())
+	pbValues := make([]*pb.StoresValue, top_ks.Len())
+
+	for i := top_ks.Len() - 1; i >= 0; i-- {
+		item := heap.Pop(&top_ks).(*PriorityItem)
+
+		similarities[i] = item.Similarity
+		pbKeys[i] = &pb.StoresKey{
+			Floats: item.Key,
+		}
+		pbValues[i] = &pb.StoresValue{
+			Bytes: item.Value,
+		}
+	}
+
+	return pb.StoresFindResult{
+		Keys:         pbKeys,
+		Values:       pbValues,
+		Similarities: similarities,
+	}, nil
+}
+
+func cosineSimilarity(k1, k2 []float32, mag1 float64) float32 {
+	assert(len(k1) == len(k2), fmt.Sprintf("cosineSimilarity: len(k1) = %d, len(k2) = %d", len(k1), len(k2)))
+
+	var dot, mag2 float64
+	for i := 0; i < len(k1); i++ {
+		dot += float64(k1[i] * k2[i])
+		mag2 += float64(k2[i] * k2[i])
+	}
+
+	sim := float32(dot / (mag1 * math.Sqrt(mag2)))
+
+	assert(sim >= -1 && sim <= 1, fmt.Sprintf("sim = %f", sim))
+
+	return sim
+}
+
+func (s *Store) StoresFindFallback(opts *pb.StoresFindOptions) (pb.StoresFindResult, error) {
+	tk := opts.Key.Floats
+	top_ks := make(PriorityQueue, 0, int(opts.TopK))
+	heap.Init(&top_ks)
+
+	var mag1 float64
+	for _, v := range tk {
+		mag1 += float64(v * v)
+	}
+	mag1 = math.Sqrt(mag1)
+
+	for i, k := range s.keys {
+		dist := cosineSimilarity(tk, k, mag1)
+		heap.Push(&top_ks, &PriorityItem{
+			Similarity: dist,
+			Key:        k,
+			Value:      s.values[i],
+		})
+
+		if top_ks.Len() > int(opts.TopK) {
+			heap.Pop(&top_ks)
+		}
+	}
+
+	similarities := make([]float32, top_ks.Len())
+	pbKeys := make([]*pb.StoresKey, top_ks.Len())
+	pbValues := make([]*pb.StoresValue, top_ks.Len())
+
+	for i := top_ks.Len() - 1; i >= 0; i-- {
+		item := heap.Pop(&top_ks).(*PriorityItem)
+
+		similarities[i] = item.Similarity
+		pbKeys[i] = &pb.StoresKey{
+			Floats: item.Key,
+		}
+		pbValues[i] = &pb.StoresValue{
+			Bytes: item.Value,
+		}
+	}
+
+	return pb.StoresFindResult{
+		Keys:         pbKeys,
+		Values:       pbValues,
+		Similarities: similarities,
+	}, nil
+}
+
+func (s *Store) StoresFind(opts *pb.StoresFindOptions) (pb.StoresFindResult, error) {
+	tk := opts.Key.Floats
+
+	if len(tk) != s.keyLen {
+		return pb.StoresFindResult{}, fmt.Errorf("Try to find key with length %d when existing length is %d", len(tk), s.keyLen)
+	}
+
+	if opts.TopK < 1 {
+		return pb.StoresFindResult{}, fmt.Errorf("opts.TopK = %d, must be >= 1", opts.TopK)
+	}
+
+	if s.keyLen == -1 {
+		s.keyLen = len(opts.Key.Floats)
+	} else {
+		if len(opts.Key.Floats) != s.keyLen {
+			return pb.StoresFindResult{}, fmt.Errorf("Try to add key with length %d when existing length is %d", len(opts.Key.Floats), s.keyLen)
+		}
+	}
+
+	if s.keysAreNormalized && isNormalized(tk) {
+		return s.StoresFindNormalized(opts)
+	} else {
+		if s.keysAreNormalized {
+			var sample []float32
+			if len(s.keys) > 5 {
+				sample = tk[:5]
+			} else {
+				sample = tk
+			}
+			log.Debug().Msgf("Trying to compare non-normalized key with normalized keys: %v", sample)
+		}
+
+		return s.StoresFindFallback(opts)
+	}
+}

backend/go/transcribe/main.go

@@ -5,7 +5,7 @@ package main
 import (
 	"flag"
 
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )
 
 var (

backend/go/transcribe/transcript.go

@@ -8,29 +8,29 @@ import (
 
 	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
 	"github.com/go-audio/wav"
-	"github.com/go-skynet/LocalAI/api/schema"
+	"github.com/mudler/LocalAI/core/schema"
 )
 
-func sh(c string) (string, error) {
-	cmd := exec.Command("/bin/sh", "-c", c)
+func ffmpegCommand(args []string) (string, error) {
+	cmd := exec.Command("ffmpeg", args...) // Constrain this to ffmpeg to permit security scanner to see that the command is safe.
 	cmd.Env = os.Environ()
-	o, err := cmd.CombinedOutput()
-	return string(o), err
+	out, err := cmd.CombinedOutput()
+	return string(out), err
 }
 
-// AudioToWav converts audio to wav for transcribe. It bashes out to ffmpeg
+// AudioToWav converts audio to wav for transcribe.
 // TODO: use https://github.com/mccoyst/ogg?
 func audioToWav(src, dst string) error {
-	out, err := sh(fmt.Sprintf("ffmpeg -i %s -format s16le -ar 16000 -ac 1 -acodec pcm_s16le %s", src, dst))
+	commandArgs := []string{"-i", src, "-format", "s16le", "-ar", "16000", "-ac", "1", "-acodec", "pcm_s16le", dst}
+	out, err := ffmpegCommand(commandArgs)
 	if err != nil {
 		return fmt.Errorf("error: %w out: %s", err, out)
 	}
-
 	return nil
 }
 
-func Transcript(model whisper.Model, audiopath, language string, threads uint) (schema.Result, error) {
-	res := schema.Result{}
+func Transcript(model whisper.Model, audiopath, language string, translate bool, threads uint) (schema.TranscriptionResult, error) {
+	res := schema.TranscriptionResult{}
 
 	dir, err := os.MkdirTemp("", "whisper")
 	if err != nil {
@@ -75,6 +75,10 @@ func Transcript(model whisper.Model, audiopath, language string, threads uint) (
 		context.SetLanguage("auto")
 	}
 
+	if translate {
+		context.SetTranslate(true)
+	}
+
 	if err := context.Process(data, nil, nil); err != nil {
 		return res, err
 	}