experiment: build with a single image with all the deps

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

.github/check_and_update.py

@@ -1,80 +0,0 @@
-import hashlib
-from huggingface_hub import hf_hub_download, get_paths_info
-import requests
-import sys
-import os
-
-uri = sys.argv[1]
-file_name = uri.split('/')[-1]
-
-# 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()
-
-def manual_safety_check_hf(repo_id):
-    scanResponse = requests.get('https://huggingface.co/api/models/' + repo_id + "/scan")
-    scan = scanResponse.json()
-    if scan['hasUnsafeFile']:
-        return scan
-    return None
-
-download_type, repo_id_or_url = parse_uri(uri)
-
-new_checksum =  None
-file_path = None
-
-# Decide download method based on URI type
-if download_type == 'huggingface':
-    # Check if the repo is flagged as dangerous by HF
-    hazard = manual_safety_check_hf(repo_id_or_url)
-    if hazard != None:
-        print(f'Error: HuggingFace has detected security problems for {repo_id_or_url}: {str(hazard)}', filename=file_name)
-        sys.exit(5)
-    # 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)

.github/checksum_checker.sh

@@ -14,14 +14,77 @@ function check_and_update_checksum() {
     idx="$5"
 
     # Download the file and calculate new checksum using Python
-    new_checksum=$(python3 ./.github/check_and_update.py $uri)
-    result=$?
+    new_checksum=$(python3 -c "
+import hashlib
+from huggingface_hub import hf_hub_download, get_paths_info
+import requests
+import sys
+import os
 
-    if [[ $result -eq 5 ]]; then
-        echo "Contaminated entry detected, deleting entry for $model_name..."
-        yq eval -i "del([$idx])" "$input_yaml"
-        return
-    fi
+uri = '$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..."
@@ -31,7 +94,7 @@ function check_and_update_checksum() {
     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"

.github/dependabot.yml

@@ -1,10 +1,6 @@
 # https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
 version: 2
 updates:
-  - package-ecosystem: "gitsubmodule"
-    directory: "/"
-    schedule:
-      interval: "weekly"
   - package-ecosystem: "gomod"
     directory: "/"
     schedule:
@@ -27,111 +23,3 @@ updates:
     schedule:
       # Check for updates to GitHub Actions every weekday
       interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/autogptq"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/bark"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/common/template"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/coqui"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/diffusers"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/exllama"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/exllama2"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/mamba"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/openvoice"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/parler-tts"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/petals"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/rerankers"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/sentencetransformers"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/transformers"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/transformers-musicgen"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/vall-e-x"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/backend/python/vllm"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/examples/chainlit"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/examples/functions"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/examples/langchain/langchainpy-localai-example"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/examples/langchain-chroma"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "pip"
-    directory: "/examples/streamlit-bot"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "docker"
-    directory: "/examples/k8sgpt"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "docker"
-    directory: "/examples/kubernetes"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "docker"
-    directory: "/examples/langchain"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "gomod"
-    directory: "/examples/semantic-todo"
-    schedule:
-      interval: "weekly"
-  - package-ecosystem: "docker"
-    directory: "/examples/telegram-bot"
-    schedule:
-      interval: "weekly"

.github/release.yml

@@ -13,9 +13,6 @@ changelog:
       labels:
         - bug
         - regression
-    - title: "🖧 P2P area"
-      labels:
-         - area/p2p
     - title: Exciting New Features 🎉
       labels:
         - Semver-Minor

.github/workflows/bump_deps.yaml

@@ -9,6 +9,9 @@ jobs:
       fail-fast: false
       matrix:
         include:
+          - repository: "go-skynet/go-llama.cpp"
+            variable: "GOLLAMA_VERSION"
+            branch: "master"
           - repository: "ggerganov/llama.cpp"
             variable: "CPPLLAMA_VERSION"
             branch: "master"
@@ -27,6 +30,9 @@ jobs:
           - repository: "go-skynet/bloomz.cpp"
             variable: "BLOOMZ_VERSION"
             branch: "main"
+          - repository: "nomic-ai/gpt4all"
+            variable: "GPT4ALL_VERSION"
+            branch: "main"
           - repository: "mudler/go-ggllm.cpp"
             variable: "GOGGLLM_VERSION"
             branch: "master"
@@ -48,7 +54,7 @@ jobs:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI
           commit-message: ':arrow_up: Update ${{ matrix.repository }}'
-          title: 'chore: :arrow_up: Update ${{ matrix.repository }}'
+          title: ':arrow_up: Update ${{ matrix.repository }}'
           branch: "update/${{ matrix.variable }}"
           body: Bump of ${{ matrix.repository }} version
           signoff: true

.github/workflows/bump_docs.yaml

@@ -22,7 +22,7 @@ jobs:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI
           commit-message: ':arrow_up: Update docs version ${{ matrix.repository }}'
-          title: 'docs: :arrow_up: update docs version ${{ matrix.repository }}'
+          title: ':arrow_up: Update docs version ${{ matrix.repository }}'
           branch: "update/docs"
           body: Bump of ${{ matrix.repository }} version inside docs
           signoff: true

.github/workflows/checksum_checker.yaml

@@ -20,12 +20,12 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install -y pip wget
-          sudo pip install --upgrade pip
+          sudo pip install --upgrade pip 
           pip install huggingface_hub
       - name: 'Setup yq'
         uses: dcarbone/install-yq-action@v1.1.1
         with:
-          version: 'v4.44.2'
+          version: 'v4.43.1'
           download-compressed: true
           force: true
 

.github/workflows/comment-pr.yaml

@@ -1,83 +0,0 @@
-name: Comment PRs
-on:
-  pull_request_target:
-
-jobs:
-  comment-pr:
-    env:
-        MODEL_NAME: hermes-2-theta-llama-3-8b
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v3
-      with:
-        ref: "${{ github.event.pull_request.merge_commit_sha }}"
-        fetch-depth: 0 # needed to checkout all branches for this Action to work
-    - uses: mudler/localai-github-action@v1
-      with:
-        model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
-      # Check the PR diff using the current branch and the base branch of the PR
-    - uses: GrantBirki/git-diff-action@v2.7.0
-      id: git-diff-action
-      with:
-            json_diff_file_output: diff.json
-            raw_diff_file_output: diff.txt
-            file_output_only: "true"
-            base_branch: ${{ github.event.pull_request.base.sha }}
-    - name: Show diff
-      env:
-        DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
-      run: |
-            cat $DIFF
-    - name: Summarize
-      env:
-        DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
-      id: summarize
-      run: |
-            input="$(cat $DIFF)"
-
-            # Define the LocalAI API endpoint
-            API_URL="http://localhost:8080/chat/completions"
-
-            # Create a JSON payload using jq to handle special characters
-            json_payload=$(jq -n --arg input "$input" '{
-            model: "'$MODEL_NAME'",
-            messages: [
-                {
-                role: "system",
-                content: "You are LocalAI-bot in Github that helps understanding PRs and assess complexity. Explain what has changed in this PR diff and why"
-                },
-                {
-                role: "user",
-                content: $input
-                }
-            ]
-            }')
-
-            # Send the request to LocalAI
-            response=$(curl -s -X POST $API_URL \
-            -H "Content-Type: application/json" \
-            -d "$json_payload")
-
-            # Extract the summary from the response
-            summary="$(echo $response | jq -r '.choices[0].message.content')"
-
-            # Print the summary
-            #  -H "Authorization: Bearer $API_KEY" \
-            echo "Summary:"
-            echo "$summary"
-            echo "payload sent"
-            echo "$json_payload"
-            {
-                echo 'message<<EOF'
-                echo "$summary"
-                echo EOF
-              } >> "$GITHUB_OUTPUT"
-            docker logs --tail 10 local-ai
-    - uses: mshick/add-pr-comment@v2
-      if: always()
-      with:
-          repo-token: ${{ secrets.UPDATE_BOT_TOKEN }}
-          message: ${{ steps.summarize.outputs.message }}
-          message-failure: |
-            Uh oh! Could not analyze this PR, maybe it's too big?

.github/workflows/dependabot_auto.yml

@@ -14,7 +14,7 @@ jobs:
     steps:
       - name: Dependabot metadata
         id: metadata
-        uses: dependabot/fetch-metadata@v2.2.0
+        uses: dependabot/fetch-metadata@v2.1.0
         with:
           github-token: "${{ secrets.GITHUB_TOKEN }}"
           skip-commit-verification: true

.github/workflows/generate_grpc_cache.yaml

@@ -75,7 +75,7 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Cache GRPC
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         with:
           builder: ${{ steps.buildx.outputs.name }}
           # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
@@ -84,11 +84,11 @@ jobs:
           build-args: |
             GRPC_BASE_IMAGE=${{ matrix.grpc-base-image }}
             GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
-            GRPC_VERSION=v1.65.0
+            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
+          push: false

.github/workflows/generate_intel_image.yaml

@@ -15,7 +15,7 @@ jobs:
     strategy:
       matrix:
         include:
-          - base-image: intel/oneapi-basekit:2024.2.0-devel-ubuntu22.04
+          - base-image: intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04
             runs-on: 'ubuntu-latest'
             platforms: 'linux/amd64'
     runs-on: ${{matrix.runs-on}}
@@ -46,7 +46,7 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Cache Intel images
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         with:
           builder: ${{ steps.buildx.outputs.name }}
           build-args: |

.github/workflows/image-pr.yml

@@ -35,19 +35,18 @@ jobs:
       max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
       matrix:
         include:
-          # This is basically covered by the AIO test
-          # - build-type: ''
-          #   platforms: 'linux/amd64'
-          #   tag-latest: 'false'
-          #   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: ''
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            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: "12"
-            cuda-minor-version: "4"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -56,85 +55,85 @@ jobs:
             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:
-  #     tag-latest: ${{ matrix.tag-latest }}
-  #     tag-suffix: ${{ matrix.tag-suffix }}
-  #     ffmpeg: ${{ matrix.ffmpeg }}
-  #     image-type: ${{ matrix.image-type }}
-  #     build-type: ${{ matrix.build-type }}
-  #     cuda-major-version: ${{ matrix.cuda-major-version }}
-  #     cuda-minor-version: ${{ matrix.cuda-minor-version }}
-  #     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 }}
-  #     quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-  #     quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-  #   strategy:
-  #     matrix:
-  #       include:
-          # - build-type: ''
-          #   platforms: 'linux/amd64'
-          #   tag-latest: 'false'
-          #   tag-suffix: '-ffmpeg-core'
-          #   ffmpeg: 'true'
-          #   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: "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: "4"
-          #   platforms: 'linux/amd64'
-          #   tag-latest: 'false'
-          #   tag-suffix: '-cublas-cuda12-ffmpeg-core'
-          #   ffmpeg: 'true'
-          #   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"
+          - 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:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      ffmpeg: ${{ matrix.ffmpeg }}
+      image-type: ${{ matrix.image-type }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      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 }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      matrix:
+        include:
+          - build-type: ''
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-ffmpeg-core'
+            ffmpeg: 'true'
+            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: "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: "5"
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-cublas-cuda12-ffmpeg-core'
+            ffmpeg: 'true'
+            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

@@ -64,7 +64,7 @@ jobs:
             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'
@@ -75,7 +75,7 @@ jobs:
             makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "4"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12'
@@ -86,7 +86,7 @@ jobs:
             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: 'auto'
             tag-suffix: '-cublas-cuda11-ffmpeg'
@@ -100,7 +100,7 @@ jobs:
             makeflags: "--jobs=3 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "4"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'auto'
             tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -274,7 +274,7 @@ jobs:
             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'
@@ -285,7 +285,7 @@ jobs:
             makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "4"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-core'
@@ -296,7 +296,7 @@ jobs:
             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'
@@ -307,7 +307,7 @@ jobs:
             makeflags: "--jobs=4 --output-sync=target"
           - build-type: 'cublas'
             cuda-major-version: "12"
-            cuda-minor-version: "4"
+            cuda-minor-version: "5"
             platforms: 'linux/amd64'
             tag-latest: 'false'
             tag-suffix: '-cublas-cuda12-ffmpeg-core'

.github/workflows/image_build.yml

@@ -23,7 +23,7 @@ on:
         type: string
       cuda-minor-version:
         description: 'CUDA minor version'
-        default: "4"
+        default: "5"
         type: string
       platforms:
         description: 'Platforms'
@@ -215,7 +215,7 @@ jobs:
           password: ${{ secrets.quayPassword }}
 
       - name: Build and push
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         if: github.event_name != 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -232,7 +232,7 @@ jobs:
             BASE_IMAGE=${{ inputs.base-image }}
             GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
             GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
-            GRPC_VERSION=v1.65.0
+            GRPC_VERSION=v1.64.0
             MAKEFLAGS=${{ inputs.makeflags }}
           context: .
           file: ./Dockerfile
@@ -243,7 +243,7 @@ jobs:
           labels: ${{ steps.meta.outputs.labels }}
 ### Start testing image
       - name: Build and push
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         if: github.event_name == 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -260,7 +260,7 @@ jobs:
             BASE_IMAGE=${{ inputs.base-image }}
             GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
             GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
-            GRPC_VERSION=v1.65.0
+            GRPC_VERSION=v1.64.0
             MAKEFLAGS=${{ inputs.makeflags }}
           context: .
           file: ./Dockerfile
@@ -276,7 +276,7 @@ jobs:
 ## End testing image
       - name: Build and push AIO image
         if: inputs.aio != ''
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         with:
           builder: ${{ steps.buildx.outputs.name }}
           build-args: |
@@ -291,7 +291,7 @@ jobs:
 
       - name: Build and push AIO image (dockerhub)
         if: inputs.aio != ''
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v5
         with:
           builder: ${{ steps.buildx.outputs.name }}
           build-args: |

.github/workflows/notify-models.yaml

@@ -1,168 +0,0 @@
-name: Notifications for new models
-on:
-  pull_request:
-     types:
-       - closed
-
-jobs:
-  notify-discord:
-    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
-    env:
-        MODEL_NAME: hermes-2-theta-llama-3-8b
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v4
-      with:
-        fetch-depth: 0 # needed to checkout all branches for this Action to work
-    - uses: mudler/localai-github-action@v1
-      with:
-        model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
-        # Check the PR diff using the current branch and the base branch of the PR
-    - uses: GrantBirki/git-diff-action@v2.7.0
-      id: git-diff-action
-      with:
-            json_diff_file_output: diff.json
-            raw_diff_file_output: diff.txt
-            file_output_only: "true"
-    - name: Summarize
-      env:
-        DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
-      id: summarize
-      run: |
-            input="$(cat $DIFF)"
-
-            # Define the LocalAI API endpoint
-            API_URL="http://localhost:8080/chat/completions"
-
-            # Create a JSON payload using jq to handle special characters
-            json_payload=$(jq -n --arg input "$input" '{
-            model: "'$MODEL_NAME'",
-            messages: [
-                {
-                role: "system",
-                content: "You are LocalAI-bot. Write a discord message to notify everyone about the new model from the git diff. Make it informal. An example can include: the URL of the model, the name, and a brief description of the model if exists. Also add an hint on how to install it in LocalAI and that can be browsed over https://models.localai.io. For example: local-ai run model_name_here"
-                },
-                {
-                role: "user",
-                content: $input
-                }
-            ]
-            }')
-
-            # Send the request to LocalAI
-            response=$(curl -s -X POST $API_URL \
-            -H "Content-Type: application/json" \
-            -d "$json_payload")
-
-            # Extract the summary from the response
-            summary="$(echo $response | jq -r '.choices[0].message.content')"
-
-            # Print the summary
-            #  -H "Authorization: Bearer $API_KEY" \
-            echo "Summary:"
-            echo "$summary"
-            echo "payload sent"
-            echo "$json_payload"
-            {
-                echo 'message<<EOF'
-                echo "$summary"
-                echo EOF
-              } >> "$GITHUB_OUTPUT"
-            docker logs --tail 10 local-ai
-    - name: Discord notification
-      env:
-        DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL }}
-        DISCORD_USERNAME: "LocalAI-Bot"
-        DISCORD_AVATAR: "https://avatars.githubusercontent.com/u/139863280?v=4"
-      uses: Ilshidur/action-discord@master
-      with:
-        args: ${{ steps.summarize.outputs.message }}
-    - name: Setup tmate session if fails
-      if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.18
-      with:
-        detached: true
-        connect-timeout-seconds: 180
-        limit-access-to-actor: true
-  notify-twitter:
-    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
-    env:
-        MODEL_NAME: hermes-2-theta-llama-3-8b
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v4
-      with:
-        fetch-depth: 0 # needed to checkout all branches for this Action to work
-    - name: Start LocalAI
-      run: |
-        echo "Starting LocalAI..."
-        docker run -e -ti -d --name local-ai -p 8080:8080 localai/localai:master-ffmpeg-core run --debug $MODEL_NAME
-        until [ "`docker inspect -f {{.State.Health.Status}} local-ai`" == "healthy" ]; do echo "Waiting for container to be ready";  docker logs --tail 10 local-ai; sleep 2; done
-      # Check the PR diff using the current branch and the base branch of the PR
-    - uses: GrantBirki/git-diff-action@v2.7.0
-      id: git-diff-action
-      with:
-            json_diff_file_output: diff.json
-            raw_diff_file_output: diff.txt
-            file_output_only: "true"
-    - name: Summarize
-      env:
-        DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
-      id: summarize
-      run: |
-            input="$(cat $DIFF)"
-
-            # Define the LocalAI API endpoint
-            API_URL="http://localhost:8080/chat/completions"
-
-            # Create a JSON payload using jq to handle special characters
-            json_payload=$(jq -n --arg input "$input" '{
-            model: "'$MODEL_NAME'",
-            messages: [
-                {
-                role: "system",
-                content: "You are LocalAI-bot. Write a twitter message to notify everyone about the new model from the git diff. Make it informal and really short. An example can include: the name, and a brief description of the model if exists. Also add an hint on how to install it in LocalAI. For example: local-ai run model_name_here"
-                },
-                {
-                role: "user",
-                content: $input
-                }
-            ]
-            }')
-
-            # Send the request to LocalAI
-            response=$(curl -s -X POST $API_URL \
-            -H "Content-Type: application/json" \
-            -d "$json_payload")
-
-            # Extract the summary from the response
-            summary="$(echo $response | jq -r '.choices[0].message.content')"
-
-            # Print the summary
-            #  -H "Authorization: Bearer $API_KEY" \
-            echo "Summary:"
-            echo "$summary"
-            echo "payload sent"
-            echo "$json_payload"
-            {
-                echo 'message<<EOF'
-                echo "$summary"
-                echo EOF
-              } >> "$GITHUB_OUTPUT"
-            docker logs --tail 10 local-ai
-    - uses: Eomm/why-don-t-you-tweet@v2
-      with:
-        tweet-message: ${{ steps.summarize.outputs.message }}
-      env:
-        # Get your tokens from https://developer.twitter.com/apps
-        TWITTER_CONSUMER_API_KEY: ${{ secrets.TWITTER_APP_KEY }}
-        TWITTER_CONSUMER_API_SECRET: ${{ secrets.TWITTER_APP_SECRET }}
-        TWITTER_ACCESS_TOKEN: ${{ secrets.TWITTER_ACCESS_TOKEN }}
-        TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}
-    - name: Setup tmate session if fails
-      if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.18
-      with:
-        detached: true
-        connect-timeout-seconds: 180
-        limit-access-to-actor: true

.github/workflows/notify-releases.yaml

@@ -1,63 +0,0 @@
-name: Release notifications
-on:
-  release:
-    types:
-      - published
-
-jobs:
-  notify-discord:
-    runs-on: ubuntu-latest
-    env:
-        RELEASE_BODY: ${{ github.event.release.body }}
-        RELEASE_TITLE: ${{ github.event.release.name }}
-        RELEASE_TAG_NAME: ${{ github.event.release.tag_name }}
-    steps:
-    - uses: mudler/localai-github-action@v1
-      with:
-        model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
-    - name: Summarize
-      id: summarize
-      run: |
-            input="$RELEASE_TITLE\b$RELEASE_BODY"
-
-            # Define the LocalAI API endpoint
-            API_URL="http://localhost:8080/chat/completions"
-
-            # Create a JSON payload using jq to handle special characters
-            json_payload=$(jq -n --arg input "$input" '{
-            model: "'$MODEL_NAME'",
-            messages: [
-                {
-                role: "system",
-                content: "Write a discord message with a bullet point summary of the release notes."
-                },
-                {
-                role: "user",
-                content: $input
-                }
-            ]
-            }')
-
-            # Send the request to LocalAI API
-            response=$(curl -s -X POST $API_URL \
-            -H "Content-Type: application/json" \
-            -d "$json_payload")
-
-            # Extract the summary from the response
-            summary=$(echo $response | jq -r '.choices[0].message.content')
-
-            # Print the summary
-            #  -H "Authorization: Bearer $API_KEY" \
-            {
-                echo 'message<<EOF'
-                echo "$summary"
-                echo EOF
-              } >> "$GITHUB_OUTPUT"
-    - name: Discord notification
-      env:
-        DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL_RELEASE }}
-        DISCORD_USERNAME: "LocalAI-Bot"
-        DISCORD_AVATAR: "https://avatars.githubusercontent.com/u/139863280?v=4"
-      uses: Ilshidur/action-discord@master
-      with:
-        args: ${{ steps.summarize.outputs.message }}

.github/workflows/prlint.yaml

@@ -1,28 +0,0 @@
-name: Check PR style
-
-on:
-  pull_request_target:
-    types:
-      - opened
-      - reopened
-      - edited
-      - synchronize
-
-jobs:
-  title-lint:
-    runs-on: ubuntu-latest
-    permissions:
-      statuses: write
-    steps:
-      - uses: aslafy-z/conventional-pr-title-action@v3
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-#  check-pr-description:
-#    runs-on: ubuntu-latest
-#    steps:
-#      - uses: actions/checkout@v2
-#      - uses: jadrol/pr-description-checker-action@v1.0.0
-#        id: description-checker
-#        with:
-#          repo-token: ${{ secrets.GITHUB_TOKEN }}
-#          exempt-labels: no qa

.github/workflows/release.yaml

@@ -1,13 +1,11 @@
 name: Build and Release
 
 on:
-  push:
-    branches:
-      - master
-  pull_request:
+- push
+- pull_request
 
 env:
-  GRPC_VERSION: v1.65.0
+  GRPC_VERSION: v1.64.0
 
 permissions:
   contents: write
@@ -33,8 +31,8 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ffmpeg protobuf-compiler ccache gawk
-          sudo apt-get install -qy binutils-aarch64-linux-gnu gcc-aarch64-linux-gnu g++-aarch64-linux-gnu libgmock-dev
+          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
         run: |
           curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/cross-linux-aarch64/cuda-keyring_1.1-1_all.deb
@@ -42,7 +40,7 @@ jobs:
           sudo apt-get update
           sudo apt-get install -y cuda-cross-aarch64 cuda-nvcc-cross-aarch64-${CUDA_VERSION} libcublas-cross-aarch64-${CUDA_VERSION}
         env:
-          CUDA_VERSION: 12-4
+          CUDA_VERSION: 12-5
       - name: Cache grpc
         id: cache-grpc
         uses: actions/cache@v4
@@ -54,8 +52,7 @@ jobs:
         run: |
 
           git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
-          cd grpc && sed -i "216i\  TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && \
-          cd cmake/build && cmake -DgRPC_INSTALL=ON \
+          cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
             -DgRPC_BUILD_TESTS=OFF \
             ../.. && sudo make --jobs 5 --output-sync=target
       - name: Install gRPC
@@ -99,13 +96,14 @@ jobs:
           CROSS_TOOLCHAIN=/usr/$GNU_HOST
           CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
           CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
           export PATH=$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 \
@@ -149,7 +147,7 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache gawk cmake libgmock-dev
+          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
@@ -163,7 +161,7 @@ jobs:
           sudo apt-get update
           sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
         env:
-          CUDA_VERSION: 12-5
+          CUDA_VERSION: 12-3
       - name: "Install Hipblas"
         env:
           ROCM_VERSION: "6.1"
@@ -199,8 +197,7 @@ jobs:
         if: steps.cache-grpc.outputs.cache-hit != 'true'
         run: |
           git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
-          cd grpc && sed -i "216i\  TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && \
-          cd cmake/build && cmake -DgRPC_INSTALL=ON \
+          cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
             -DgRPC_BUILD_TESTS=OFF \
             ../.. && sudo make --jobs 5 --output-sync=target
       - name: Install gRPC
@@ -210,14 +207,15 @@ jobs:
       - name: Build
         id: build
         run: |
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
           export PATH=$PATH:$GOPATH/bin
           export PATH=/usr/local/cuda/bin:$PATH
           export PATH=/opt/rocm/bin:$PATH
           source /opt/intel/oneapi/setvars.sh
           sudo cp /lib64/ld-linux-x86-64.so.2 ld.so
-          BACKEND_LIBS="./ld.so ./sources/go-piper/piper/build/fi/lib/libfmt.a ./sources/go-piper/piper-phonemize/pi/lib/libonnxruntime.so.1.14.1 ./sources/go-piper/piper-phonemize/pi/src/libespeak-ng/libespeak-ng.so /usr/lib/x86_64-linux-gnu/libdl.so.2 /usr/lib/x86_64-linux-gnu/librt.so.1 /usr/lib/x86_64-linux-gnu/libpthread.so.0 ./sources/go-piper/piper-phonemize/pi/lib/libpiper_phonemize.so.1 ./sources/go-piper/piper/build/si/lib/libspdlog.a ./sources/go-piper/espeak/ei/lib/libucd.so" \
+          GO_TAGS=p2p \
+          BACKEND_LIBS="./ld.so /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/libgomp.so.1" \
           make -j4 dist
       - uses: actions/upload-artifact@v4
         with:
@@ -251,8 +249,8 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler ccache
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
       - name: Build stablediffusion
         run: |
           export PATH=$PATH:$GOPATH/bin
@@ -271,8 +269,8 @@ jobs:
           files: |
             release/*
 
-  build-macOS-x86_64:
-    runs-on: macos-13
+  build-macOS-arm64:
+    runs-on: macos-14
     steps:
       - name: Clone
         uses: actions/checkout@v4
@@ -294,49 +292,7 @@ jobs:
           export CPLUS_INCLUDE_PATH=/usr/local/include
           export PATH=$PATH:$GOPATH/bin
 
-          make dist
-      - uses: actions/upload-artifact@v4
-        with:
-          name: LocalAI-MacOS-x86_64
-          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: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.18
-        with:
-          detached: true
-          connect-timeout-seconds: 180
-          limit-access-to-actor: true
-
-  build-macOS-arm64:
-    runs-on: macos-14
-    steps:
-      - name: Clone
-        uses: actions/checkout@v4
-        with:
-          submodules: true
-      - uses: actions/setup-go@v5
-        with:
-          go-version: '1.21.x'
-          cache: false
-      - name: Dependencies
-        run: |
-          brew install protobuf grpc
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
-      - name: Build
-        id: build
-        run: |
-          export C_INCLUDE_PATH=/usr/local/include
-          export CPLUS_INCLUDE_PATH=/usr/local/include
-          export PATH=$PATH:$GOPATH/bin
-
-          make dist
+          BACKEND_LIBS="$(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

.github/workflows/test-extra.yml

@@ -19,7 +19,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -29,8 +29,8 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
-
+          pip install --user grpcio-tools==1.64.0
+          
       - name: Test transformers
         run: |
            make --jobs=5 --output-sync=target -C backend/python/transformers
@@ -41,7 +41,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -51,8 +51,8 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
-
+          pip install --user grpcio-tools==1.64.0
+          
       - name: Test sentencetransformers
         run: |
            make --jobs=5 --output-sync=target -C backend/python/sentencetransformers
@@ -64,7 +64,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -74,7 +74,7 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
 
       - name: Test rerankers
         run: |
@@ -86,7 +86,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -96,7 +96,7 @@ jobs:
           sudo apt-get install -y libopencv-dev
           # Install UV
           curl -LsSf https://astral.sh/uv/install.sh | sh
-          pip install --user --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
       - name: Test diffusers
         run: |
           make --jobs=5 --output-sync=target -C backend/python/diffusers
@@ -107,7 +107,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -117,19 +117,19 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          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:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -139,7 +139,7 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
 
       - name: Test openvoice
         run: |
@@ -151,7 +151,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -161,7 +161,7 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
 
       - name: Test transformers-musicgen
         run: |
@@ -175,7 +175,7 @@ jobs:
   #   steps:
   #     - name: Clone
   #       uses: actions/checkout@v4
-  #       with:
+  #       with: 
   #         submodules: true
   #     - name: Dependencies
   #       run: |
@@ -185,14 +185,14 @@ jobs:
   #         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 --no-cache-dir grpcio-tools==1.64.1
+  #         pip install --user grpcio-tools==1.64.0
 
   #     - 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
 
-
+           
 
   # tests-bark:
   #   runs-on: ubuntu-latest
@@ -239,7 +239,7 @@ jobs:
   #           df -h
   #     - name: Clone
   #       uses: actions/checkout@v4
-  #       with:
+  #       with: 
   #         submodules: true
   #     - name: Dependencies
   #       run: |
@@ -249,14 +249,14 @@ jobs:
   #         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 --no-cache-dir grpcio-tools==1.64.1
+  #         pip install --user grpcio-tools==1.64.0
 
   #     - name: Test bark
   #       run: |
   #          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
   # TODO: Re-enable as soon as we have GPU nodes
   # tests-vllm:
@@ -264,7 +264,7 @@ jobs:
   #   steps:
   #     - name: Clone
   #       uses: actions/checkout@v4
-  #       with:
+  #       with: 
   #         submodules: true
   #     - name: Dependencies
   #       run: |
@@ -274,7 +274,7 @@ jobs:
   #         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 --no-cache-dir grpcio-tools==1.64.1
+  #         pip install --user grpcio-tools==1.64.0
   #     - name: Test vllm
   #       run: |
   #          make --jobs=5 --output-sync=target -C backend/python/vllm
@@ -284,7 +284,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -294,7 +294,7 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
       - name: Test vall-e-x
         run: |
            make --jobs=5 --output-sync=target -C backend/python/vall-e-x
@@ -305,7 +305,7 @@ jobs:
     steps:
       - name: Clone
         uses: actions/checkout@v4
-        with:
+        with: 
           submodules: true
       - name: Dependencies
         run: |
@@ -314,8 +314,8 @@ jobs:
           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 --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
       - name: Test coqui
         run: |
           make --jobs=5 --output-sync=target -C backend/python/coqui
-          make --jobs=5 --output-sync=target -C backend/python/coqui test
+          make --jobs=5 --output-sync=target -C backend/python/coqui test

.github/workflows/test.yml

@@ -10,7 +10,7 @@ on:
       - '*'
 
 env:
-  GRPC_VERSION: v1.65.0
+  GRPC_VERSION: v1.64.0
 
 concurrency:
   group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
@@ -71,7 +71,6 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install build-essential curl ffmpeg
-          sudo apt-get install -y libgmock-dev
           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 && \
@@ -94,8 +93,8 @@ jobs:
           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@v1.34.2
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          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
@@ -110,7 +109,7 @@ jobs:
           # Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
           PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
         env:
-          CUDA_VERSION: 12-4
+          CUDA_VERSION: 12-3
       - name: Cache grpc
         id: cache-grpc
         uses: actions/cache@v4
@@ -121,8 +120,7 @@ jobs:
         if: steps.cache-grpc.outputs.cache-hit != 'true'
         run: |
           git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --jobs 5 --shallow-submodules https://github.com/grpc/grpc && \
-          cd grpc && sed -i "216i\  TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && cd cmake/build && \
-          cmake -DgRPC_INSTALL=ON \
+          cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
             -DgRPC_BUILD_TESTS=OFF \
             ../.. && sudo make --jobs 5
       - name: Install gRPC
@@ -215,7 +213,7 @@ jobs:
       - name: Dependencies
         run: |
           brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc
-          pip install --user --no-cache-dir grpcio-tools==1.64.1
+          pip install --user grpcio-tools==1.64.0
       - name: Test
         run: |
           export C_INCLUDE_PATH=/usr/local/include

.github/workflows/update_swagger.yaml

@@ -13,17 +13,11 @@ jobs:
       - uses: actions/setup-go@v5
         with:
           go-version: 'stable'
-      - name: Dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install protobuf-compiler
       - run: |
           go install github.com/swaggo/swag/cmd/swag@latest
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
       - name: Bump swagger 🔧
         run: |
-          make protogen-go swagger
+          make swagger
       - name: Create Pull Request
         uses: peter-evans/create-pull-request@v6
         with:

Dockerfile

@@ -5,10 +5,16 @@ ARG INTEL_BASE_IMAGE=${BASE_IMAGE}
 
 # 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
 
 USER root
 
-ARG GO_VERSION=1.22.5
+ARG GO_VERSION=1.22.4
 ARG TARGETARCH
 ARG TARGETVARIANT
 
@@ -49,10 +55,12 @@ ENV PATH /usr/local/cuda/bin:${PATH}
 # HipBLAS requirements
 ENV PATH /opt/rocm/bin:${PATH}
 
-# OpenBLAS requirements and stable diffusion
+# 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/*
@@ -77,8 +85,6 @@ ENV PATH="/root/.cargo/bin:${PATH}"
 RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
-        espeak-ng \
-        espeak \
         python3-pip \
         python-is-python3 \
         python3-dev \
@@ -93,13 +99,12 @@ RUN pip install --user grpcio-tools
 ###################################
 ###################################
 
-# The 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-${IMAGE_TYPE} AS requirements-drivers
+# Base image for the build-type. 
+FROM requirements-${IMAGE_TYPE} AS run-requirements-drivers
 
 ARG BUILD_TYPE
 ARG CUDA_MAJOR_VERSION=12
-ARG CUDA_MINOR_VERSION=4
+ARG CUDA_MINOR_VERSION=5
 
 ENV BUILD_TYPE=${BUILD_TYPE}
 
@@ -108,11 +113,11 @@ RUN <<EOT bash
     if [ "${BUILD_TYPE}" = "vulkan" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
-            software-properties-common pciutils wget gpg-agent && \
+                        software-properties-common pciutils wget gpg-agent && \
         wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
         wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
         apt-get update && \
-        apt-get install -y \
+            apt-get install -y \
             vulkan-sdk && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
@@ -124,13 +129,33 @@ RUN <<EOT bash
     if [ "${BUILD_TYPE}" = "cublas" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
-            software-properties-common pciutils
+                        software-properties-common pciutils
         if [ "amd64" = "$TARGETARCH" ]; then
             curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
-        fi
+            fi
         if [ "arm64" = "$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 [ "${BUILD_TYPE}" = "cublas" ]; then \
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils && \
+        curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
         dpkg -i cuda-keyring_1.1-1_all.deb && \
         rm -f cuda-keyring_1.1-1_all.deb && \
         apt-get update && \
@@ -142,9 +167,8 @@ RUN <<EOT bash
             libcusparse-dev-${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
+        rm -rf /var/lib/apt/lists/* \
+    ; fi
 
 # If we are building with clblas support, we need the libraries for the builds
 RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \
@@ -167,6 +191,82 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
         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
+
 ###################################
 ###################################
 
@@ -187,7 +287,7 @@ 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=v1.65.0
+ARG GRPC_VERSION=v1.64.2
 
 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
 
@@ -208,7 +308,6 @@ RUN apt-get update && \
 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 && \
-    sed -i "216i\  TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
     cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
     make && \
     make install && \
@@ -219,7 +318,7 @@ RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shall
 
 # 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 requirements-drivers AS builder
+FROM build-requirements-drivers AS builder
 
 ARG GO_TAGS="stablediffusion tts p2p"
 ARG GRPC_BACKENDS
@@ -264,9 +363,8 @@ COPY --from=grpc /opt/grpc /usr/local
 
 # Rebuild with defaults backends
 WORKDIR /build
-
-## Build the binary
-RUN make 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/ \
@@ -278,7 +376,7 @@ RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
 
 # 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 requirements-drivers
+FROM run-requirements-drivers
 
 ARG FFMPEG
 ARG BUILD_TYPE
@@ -323,6 +421,7 @@ RUN make prepare-sources
 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)

Makefile

@@ -3,12 +3,9 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-DETECT_LIBS?=true
-
 # llama.cpp versions
-GOLLAMA_REPO?=https://github.com/go-skynet/go-llama.cpp
-GOLLAMA_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
-CPPLLAMA_VERSION?=705b7ecf60e667ced57c15d67aa86865e3cc7aa7
+GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
+CPPLLAMA_VERSION?=9ef07800622e4c371605f9419864d15667c3558f
 
 # gpt4all version
 GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
@@ -19,33 +16,26 @@ RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
 RWKV_VERSION?=661e7ae26d442f5cfebd2a0881b44e8c55949ec6
 
 # whisper.cpp version
-WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp
-WHISPER_CPP_VERSION?=f68298ce06ca3edd6e6f3f21c3d0bb5f073942c3
+WHISPER_CPP_VERSION?=b29b3b29240aac8b71ce8e5a4360c1f1562ad66f
 
 # bert.cpp version
-BERT_REPO?=https://github.com/go-skynet/go-bert.cpp
 BERT_VERSION?=710044b124545415f555e4260d16b146c725a6e4
 
 # go-piper version
-PIPER_REPO?=https://github.com/mudler/go-piper
 PIPER_VERSION?=9d0100873a7dbb0824dfea40e8cec70a1b110759
 
 # stablediffusion version
-STABLEDIFFUSION_REPO?=https://github.com/mudler/go-stable-diffusion
 STABLEDIFFUSION_VERSION?=4a3cd6aeae6f66ee57eae9a0075f8c58c3a6a38f
 
 # tinydream version
-TINYDREAM_REPO?=https://github.com/M0Rf30/go-tiny-dream
 TINYDREAM_VERSION?=c04fa463ace9d9a6464313aa5f9cd0f953b6c057
 
 export BUILD_TYPE?=
 export STABLE_BUILD_TYPE?=$(BUILD_TYPE)
 export CMAKE_ARGS?=
-export BACKEND_LIBS?=
 
 CGO_LDFLAGS?=
 CGO_LDFLAGS_WHISPER?=
-CGO_LDFLAGS_WHISPER+=-lggml
 CUDA_LIBPATH?=/usr/local/cuda/lib64/
 GO_TAGS?=
 BUILD_ID?=
@@ -59,8 +49,8 @@ RANDOM := $(shell bash -c 'echo $$RANDOM')
 VERSION?=$(shell git describe --always --tags || echo "dev" )
 # go tool nm ./local-ai | grep Commit
 LD_FLAGS?=
-override LD_FLAGS += -X "github.com/mudler/LocalAI/internal.Version=$(VERSION)"
-override LD_FLAGS += -X "github.com/mudler/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
+override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Version=$(VERSION)"
+override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
 
 OPTIONAL_TARGETS?=
 
@@ -92,25 +82,24 @@ ifeq ($(OS),Darwin)
 	else ifneq ($(BUILD_TYPE),metal)
 		CMAKE_ARGS+=-DGGML_METAL=OFF
 		export GGML_NO_ACCELERATE=1
-		export GGML_NO_METAL=1
 	endif
 
 	ifeq ($(BUILD_TYPE),metal)
 #			-lcblas 	removed: it seems to always be listed as a duplicate flag.
 		CGO_LDFLAGS += -framework Accelerate
 	endif
-else
-CGO_LDFLAGS_WHISPER+=-lgomp
 endif
 
 ifeq ($(BUILD_TYPE),openblas)
 	CGO_LDFLAGS+=-lopenblas
-	export GGML_OPENBLAS=1
+	export WHISPER_OPENBLAS=1
 endif
 
+
 ifeq ($(BUILD_TYPE),cublas)
 	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
 	export GGML_CUDA=1
+	export WHISPER_CUDA=1
 	CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft
 endif
 
@@ -118,14 +107,6 @@ ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=1
 endif
 
-ifneq (,$(findstring sycl,$(BUILD_TYPE)))
-	export GGML_SYCL=1
-endif
-
-ifeq ($(BUILD_TYPE),sycl_f16)
-	export GGML_SYCL_F16=1
-endif
-
 ifeq ($(BUILD_TYPE),hipblas)
 	ROCM_HOME ?= /opt/rocm
 	ROCM_PATH ?= /opt/rocm
@@ -134,7 +115,7 @@ ifeq ($(BUILD_TYPE),hipblas)
 	export CC=$(ROCM_HOME)/llvm/bin/clang
 	# llama-ggml has no hipblas support, so override it here.
 	export STABLE_BUILD_TYPE=
-	export GGML_HIPBLAS=1
+	export WHISPER_HIPBLAS=1
 	GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
 	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
 	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
@@ -144,16 +125,17 @@ endif
 ifeq ($(BUILD_TYPE),metal)
 	CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
 	export GGML_METAL=1
+	export WHISPER_METAL=1
 endif
 
 ifeq ($(BUILD_TYPE),clblas)
 	CGO_LDFLAGS+=-lOpenCL -lclblast
-	export GGML_OPENBLAS=1
+	export WHISPER_CLBLAST=1
 endif
 
 # glibc-static or glibc-devel-static required
 ifeq ($(STATIC),true)
-	LD_FLAGS+=-linkmode external -extldflags -static
+	LD_FLAGS=-linkmode external -extldflags -static
 endif
 
 ifeq ($(findstring stablediffusion,$(GO_TAGS)),stablediffusion)
@@ -187,8 +169,6 @@ 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)
-# Use filter-out to remove the specified backends
-ALL_GRPC_BACKENDS := $(filter-out $(SKIP_GRPC_BACKEND),$(ALL_GRPC_BACKENDS))
 
 GRPC_BACKENDS?=$(ALL_GRPC_BACKENDS) $(OPTIONAL_GRPC)
 TEST_PATHS?=./api/... ./pkg/... ./core/...
@@ -208,109 +188,69 @@ all: help
 
 ## BERT embeddings
 sources/go-bert.cpp:
-	mkdir -p sources/go-bert.cpp
-	cd sources/go-bert.cpp && \
-	git init && \
-	git remote add origin $(BERT_REPO) && \
-	git fetch origin && \
-	git checkout $(BERT_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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:
-	mkdir -p sources/go-llama.cpp
-	cd sources/go-llama.cpp && \
-	git init && \
-	git remote add origin $(GOLLAMA_REPO) && \
-	git fetch origin && \
-	git checkout $(GOLLAMA_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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:
-	mkdir -p sources/go-piper
-	cd sources/go-piper && \
-	git init && \
-	git remote add origin $(PIPER_REPO) && \
-	git fetch origin && \
-	git checkout $(PIPER_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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
 
 sources/go-piper/libpiper_binding.a: sources/go-piper
 	$(MAKE) -C sources/go-piper libpiper_binding.a example/main piper.o
 
 ## GPT4ALL
 sources/gpt4all:
-	mkdir -p sources/gpt4all
-	cd sources/gpt4all && \
-	git init && \
-	git remote add origin $(GPT4ALL_REPO) && \
-	git fetch origin && \
-	git checkout $(GPT4ALL_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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:
-	mkdir -p sources/go-rwkv.cpp
-	cd sources/go-rwkv.cpp && \
-	git init && \
-	git remote add origin $(RWKV_REPO) && \
-	git fetch origin && \
-	git checkout $(RWKV_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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:
-	mkdir -p sources/go-stable-diffusion
-	cd sources/go-stable-diffusion && \
-	git init && \
-	git remote add origin $(STABLEDIFFUSION_REPO) && \
-	git fetch origin && \
-	git checkout $(STABLEDIFFUSION_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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: sources/go-stable-diffusion
 	CPATH="$(CPATH):/usr/include/opencv4" $(MAKE) -C sources/go-stable-diffusion libstablediffusion.a
 
 ## tiny-dream
 sources/go-tiny-dream:
-	mkdir -p sources/go-tiny-dream
-	cd sources/go-tiny-dream && \
-	git init && \
-	git remote add origin $(TINYDREAM_REPO) && \
-	git fetch origin && \
-	git checkout $(TINYDREAM_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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
 	$(MAKE) -C sources/go-tiny-dream libtinydream.a
 
 ## whisper
 sources/whisper.cpp:
-	mkdir -p sources/whisper.cpp
-	cd sources/whisper.cpp && \
-	git init && \
-	git remote add origin $(WHISPER_REPO) && \
-	git fetch origin && \
-	git checkout $(WHISPER_CPP_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	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 libggml.a
+	cd sources/whisper.cpp && $(MAKE) libwhisper.a
 
-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 backend/cpp/llama/llama.cpp
+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:
 	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(CURDIR)/sources/go-rwkv.cpp
@@ -379,12 +319,12 @@ build: prepare backend-assets grpcs ## Build the project
 	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
 ifneq ($(BACKEND_LIBS),)
 	$(MAKE) backend-assets/lib
-	cp -f $(BACKEND_LIBS) 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) ./
 
 build-minimal:
-	BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp-avx2" GO_TAGS=p2p $(MAKE) build
+	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
@@ -394,22 +334,17 @@ backend-assets/lib:
 
 dist:
 	$(MAKE) backend-assets/grpc/llama-cpp-avx2
-ifeq ($(DETECT_LIBS),true)
-	scripts/prepare-libs.sh backend-assets/grpc/llama-cpp-avx2
-endif
 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
-	GO_TAGS="tts p2p" $(MAKE) build
-ifeq ($(DETECT_LIBS),true)
-	scripts/prepare-libs.sh backend-assets/grpc/piper
 endif
-	GO_TAGS="tts p2p" STATIC=true $(MAKE) build
+	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),)
@@ -420,7 +355,7 @@ else
 	shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH).sha256
 endif
 
-dist-cross-linux-arm64:
+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
@@ -471,7 +406,7 @@ 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 $(TEST_DIR)/ggllm-test-model.bin
-	docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=4 --build-arg FFMPEG=true -t localai-tests .
+	docker build --build-arg GRPC_BACKENDS="$(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)
@@ -767,28 +702,28 @@ else
 endif
 
 # This target is for manually building a variant with-auto detected flags
-backend-assets/grpc/llama-cpp: backend-assets/grpc backend/cpp/llama/llama.cpp
+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/llama-cpp-avx2: backend-assets/grpc backend/cpp/llama/llama.cpp
+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/llama-cpp-avx: backend-assets/grpc backend/cpp/llama/llama.cpp
+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 backend/cpp/llama/llama.cpp
+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})
@@ -799,35 +734,35 @@ 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 backend/cpp/llama/llama.cpp
+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 backend/cpp/llama/llama.cpp
+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 backend/cpp/llama/llama.cpp
+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 backend/cpp/llama/llama.cpp
+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 backend/cpp/llama/llama.cpp
+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})
@@ -859,7 +794,7 @@ backend-assets/grpc/tinydream: sources/go-tiny-dream sources/go-tiny-dream/libti
 	$(GOCMD) build -ldflags "$(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/include:$(CURDIR)/sources/whisper.cpp/ggml/include" LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
+	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
@@ -905,7 +840,7 @@ docker-aio-all:
 
 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.2.0-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)" \
@@ -913,7 +848,7 @@ docker-image-intel:
 
 docker-image-intel-xpu:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.2.0-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)" \
@@ -928,7 +863,7 @@ gen-assets:
 	$(GOCMD) run core/dependencies_manager/manager.go embedded/webui_static.yaml core/http/static/assets
 
 ## Documentation
-docs/layouts/_default:
+docs/layouts/_default: 
 	mkdir -p docs/layouts/_default
 
 docs/static/gallery.html: docs/layouts/_default
@@ -943,4 +878,4 @@ docs-clean:
 
 .PHONY: docs
 docs: docs/static/gallery.html
-	cd docs && hugo serve
+	cd docs && hugo serve

README.md

@@ -72,15 +72,13 @@ docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
 
 [Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
 
-- July 2024: 🔥🔥 🆕 P2P Dashboard, LocalAI Federated mode and AI Swarms: https://github.com/mudler/LocalAI/pull/2723
-- June 2024: 🆕 You can browse now the model gallery without LocalAI! Check out https://models.localai.io
-- June 2024: Support for models from OCI registries: https://github.com/mudler/LocalAI/pull/2628
-- May 2024: 🔥🔥 Decentralized P2P llama.cpp:  https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs  https://localai.io/features/distribute/
-- May 2024: 🔥🔥 Openvoice: https://github.com/mudler/LocalAI/pull/2334
-- May 2024: 🆕 Function calls without grammars and mixed mode: https://github.com/mudler/LocalAI/pull/2328
-- May 2024: 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
-- May 2024: Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
-- April 2024: Reranker API: https://github.com/mudler/LocalAI/pull/2121
+- 🆕 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):
 
@@ -90,7 +88,6 @@ Hot topics (looking for contributors):
 - 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
-- Anthropic API: https://github.com/mudler/LocalAI/issues/1808
 
 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
 
@@ -107,7 +104,6 @@ If you want to help and contribute, issues up for grabs: https://github.com/mudl
 - 🥽 [Vision API](https://localai.io/features/gpt-vision/)
 - 📈 [Reranker API](https://localai.io/features/reranker/)
 - 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
-- 🌍 Integrated WebUI!
 
 ## 💻 Usage
 
@@ -136,7 +132,6 @@ Other:
 - 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
-- Github Actions: https://github.com/marketplace/actions/start-localai
 - Examples: https://github.com/mudler/LocalAI/tree/master/examples/
   
 

backend/cpp/grpc/Makefile

@@ -46,14 +46,9 @@ endif
 $(INSTALLED_PACKAGES): grpc_build
 
 $(GRPC_REPO):
-	mkdir -p $(GRPC_REPO)/grpc
-	cd $(GRPC_REPO)/grpc && \
-	git init && \
-	git remote add origin $(GIT_REPO_LIB_GRPC)  && \
-	git fetch origin && \
-	git checkout $(TAG_LIB_GRPC) && \
-	git submodule update --init --recursive --depth 1 --single-branch
-	
+	git clone --depth $(GIT_CLONE_DEPTH) -b $(TAG_LIB_GRPC) $(GIT_REPO_LIB_GRPC) $(GRPC_REPO)/grpc
+	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 . && cmake --build . --target install

backend/cpp/llama/Makefile

@@ -1,6 +1,5 @@
 
 LLAMA_VERSION?=
-LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=
 BUILD_TYPE?=
@@ -46,13 +45,11 @@ ifeq ($(BUILD_TYPE),sycl_f32)
 endif
 
 llama.cpp:
-	mkdir -p llama.cpp
-	cd llama.cpp && \
-	git init && \
-	git remote add origin $(LLAMA_REPO)  && \
-	git fetch origin && \
-	git checkout -b build $(LLAMA_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
+	git clone --recurse-submodules https://github.com/ggerganov/llama.cpp llama.cpp
+	if [ -z "$(LLAMA_VERSION)" ]; then \
+		exit 1; \
+	fi
+	cd llama.cpp && git checkout -b build $(LLAMA_VERSION) && git submodule update --init --recursive --depth 1
 
 llama.cpp/examples/grpc-server: llama.cpp
 	mkdir -p llama.cpp/examples/grpc-server
@@ -74,9 +71,9 @@ clean: purge
 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); \
+	bash -c "source $(ONEAPI_VARS); \
 	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 $(TARGET)
+	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

@@ -2108,7 +2108,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
     data["grammar"] = predict->grammar();
     data["prompt"] = predict->prompt();
     data["ignore_eos"] = predict->ignoreeos();
-    data["embeddings"] = predict->embeddings();
 
     // for each image in the request, add the image data
     //
@@ -2386,31 +2385,6 @@ public:
 
         return grpc::Status::OK;
     }
-
-    /// https://github.com/ggerganov/llama.cpp/blob/aa2341298924ac89778252015efcb792f2df1e20/examples/server/server.cpp#L2969
-    grpc::Status Embedding(ServerContext* context, const backend::PredictOptions* request, backend::EmbeddingResult* embeddingResult) {
-        json data = parse_options(false, request, llama);
-        const int task_id = llama.queue_tasks.get_new_id();
-        llama.queue_results.add_waiting_task_id(task_id);
-        llama.request_completion(task_id, { {"prompt", data["embeddings"]}, { "n_predict", 0}, {"image_data", ""} }, false, true, -1);
-        // get the result
-        task_result result = llama.queue_results.recv(task_id);
-        //std::cout << "Embedding result JSON" << result.result_json.dump() << std::endl;
-        llama.queue_results.remove_waiting_task_id(task_id);
-        if (!result.error && result.stop) {
-            std::vector<float> embeddings = result.result_json.value("embedding", std::vector<float>());
-            // loop the vector and set the embeddings results
-            for (int i = 0; i < embeddings.size(); i++) {
-                embeddingResult->add_embeddings(embeddings[i]);
-            }
-        }
-        else
-        {
-            return grpc::Status::OK;
-        }
-
-        return grpc::Status::OK;
-    }
 };
 
 void RunServer(const std::string& server_address) {

backend/go/llm/llama/llama.go

@@ -6,9 +6,9 @@ import (
 	"fmt"
 	"path/filepath"
 
+	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/python/autogptq/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/autogptq/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 auto-gptq==0.7.1
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 torch
 certifi

backend/python/bark/requirements-intel.txt

@@ -3,4 +3,4 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/bark/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 bark==0.1.5
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi
 transformers

backend/python/common/libbackend.sh

@@ -148,13 +148,13 @@ function startBackend() {
     ensureVenv
 
     if [ ! -z ${BACKEND_FILE} ]; then
-        exec python ${BACKEND_FILE} $@
+        python ${BACKEND_FILE} $@
     elif [ -e "${MY_DIR}/server.py" ]; then
-        exec python ${MY_DIR}/server.py $@
+        python ${MY_DIR}/server.py $@
     elif [ -e "${MY_DIR}/backend.py" ]; then
-        exec python ${MY_DIR}/backend.py $@
+        python ${MY_DIR}/backend.py $@
     elif [ -e "${MY_DIR}/${BACKEND_NAME}.py" ]; then
-        exec python ${MY_DIR}/${BACKEND_NAME}.py $@
+        python ${MY_DIR}/${BACKEND_NAME}.py $@
     fi
 }
 
@@ -210,4 +210,4 @@ function checkTargets() {
     echo false
 }
 
-init
+init

backend/python/common/template/requirements.txt

@@ -1,2 +1,2 @@
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf

backend/python/coqui/requirements-intel.txt

@@ -3,4 +3,4 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/coqui/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 TTS==0.22.0
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi
 transformers

backend/python/diffusers/backend.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 from concurrent import futures
-import traceback
+
 import argparse
 from collections import defaultdict
 from enum import Enum
@@ -17,39 +17,35 @@ import backend_pb2_grpc
 
 import grpc
 
-from diffusers import StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, \
-    EulerAncestralDiscreteScheduler
+from diffusers import StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
 from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline
 from diffusers.pipelines.stable_diffusion import safety_checker
-from diffusers.utils import load_image, export_to_video
+from diffusers.utils import load_image,export_to_video
 from compel import Compel, ReturnedEmbeddingsType
 
 from transformers import CLIPTextModel
 from safetensors.torch import load_file
 
+
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
-COMPEL = os.environ.get("COMPEL", "0") == "1"
-XPU = os.environ.get("XPU", "0") == "1"
-CLIPSKIP = os.environ.get("CLIPSKIP", "1") == "1"
-SAFETENSORS = os.environ.get("SAFETENSORS", "1") == "1"
-CHUNK_SIZE = os.environ.get("CHUNK_SIZE", "8")
-FPS = os.environ.get("FPS", "7")
-DISABLE_CPU_OFFLOAD = os.environ.get("DISABLE_CPU_OFFLOAD", "0") == "1"
-FRAMES = os.environ.get("FRAMES", "64")
+COMPEL=os.environ.get("COMPEL", "0") == "1"
+XPU=os.environ.get("XPU", "0") == "1"
+CLIPSKIP=os.environ.get("CLIPSKIP", "1") == "1"
+SAFETENSORS=os.environ.get("SAFETENSORS", "1") == "1"
+CHUNK_SIZE=os.environ.get("CHUNK_SIZE", "8")
+FPS=os.environ.get("FPS", "7")
+DISABLE_CPU_OFFLOAD=os.environ.get("DISABLE_CPU_OFFLOAD", "0") == "1"
+FRAMES=os.environ.get("FRAMES", "64")
 
 if XPU:
     import intel_extension_for_pytorch as ipex
-
     print(ipex.xpu.get_device_name(0))
 
 # If MAX_WORKERS are specified in the environment use it, otherwise default to 1
 MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
 
-
 # https://github.com/CompVis/stable-diffusion/issues/239#issuecomment-1627615287
-def sc(self, clip_input, images): return images, [False for i in images]
-
-
+def sc(self, clip_input, images) : return images, [False for i in images]
 # edit the StableDiffusionSafetyChecker class so that, when called, it just returns the images and an array of True values
 safety_checker.StableDiffusionSafetyChecker.forward = sc
 
@@ -66,8 +62,6 @@ from diffusers.schedulers import (
     PNDMScheduler,
     UniPCMultistepScheduler,
 )
-
-
 # The scheduler list mapping was taken from here: https://github.com/neggles/animatediff-cli/blob/6f336f5f4b5e38e85d7f06f1744ef42d0a45f2a7/src/animatediff/schedulers.py#L39
 # Credits to https://github.com/neggles
 # See https://github.com/huggingface/diffusers/issues/4167 for more details on sched mapping from A1111
@@ -142,12 +136,10 @@ def get_scheduler(name: str, config: dict = {}):
 
     return sched_class.from_config(config)
 
-
 # Implement the BackendServicer class with the service methods
 class BackendServicer(backend_pb2_grpc.BackendServicer):
     def Health(self, request, context):
         return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
-
     def LoadModel(self, request, context):
         try:
             print(f"Loading model {request.Model}...", file=sys.stderr)
@@ -157,7 +149,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
 
             if request.F16Memory:
                 torchType = torch.float16
-                variant = "fp16"
+                variant="fp16"
 
             local = False
             modelFile = request.Model
@@ -165,38 +157,38 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             self.cfg_scale = 7
             if request.CFGScale != 0:
                 self.cfg_scale = request.CFGScale
-
+            
             clipmodel = "runwayml/stable-diffusion-v1-5"
             if request.CLIPModel != "":
                 clipmodel = request.CLIPModel
             clipsubfolder = "text_encoder"
             if request.CLIPSubfolder != "":
                 clipsubfolder = request.CLIPSubfolder
-
+            
             # Check if ModelFile exists
             if request.ModelFile != "":
                 if os.path.exists(request.ModelFile):
                     local = True
                     modelFile = request.ModelFile
-
+            
             fromSingleFile = request.Model.startswith("http") or request.Model.startswith("/") or local
-            self.img2vid = False
-            self.txt2vid = False
+            self.img2vid=False
+            self.txt2vid=False
             ## img2img
             if (request.PipelineType == "StableDiffusionImg2ImgPipeline") or (request.IMG2IMG and request.PipelineType == ""):
                 if fromSingleFile:
                     self.pipe = StableDiffusionImg2ImgPipeline.from_single_file(modelFile,
-                                                                                torch_dtype=torchType)
+                                torch_dtype=torchType)
                 else:
                     self.pipe = StableDiffusionImg2ImgPipeline.from_pretrained(request.Model,
-                                                                               torch_dtype=torchType)
+                                torch_dtype=torchType)
 
             elif request.PipelineType == "StableDiffusionDepth2ImgPipeline":
                 self.pipe = StableDiffusionDepth2ImgPipeline.from_pretrained(request.Model,
-                                                                             torch_dtype=torchType)
+                            torch_dtype=torchType)
             ## img2vid
             elif request.PipelineType == "StableVideoDiffusionPipeline":
-                self.img2vid = True
+                self.img2vid=True
                 self.pipe = StableVideoDiffusionPipeline.from_pretrained(
                     request.Model, torch_dtype=torchType, variant=variant
                 )
@@ -205,63 +197,64 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             ## text2img
             elif request.PipelineType == "AutoPipelineForText2Image" or request.PipelineType == "":
                 self.pipe = AutoPipelineForText2Image.from_pretrained(request.Model,
-                                                                      torch_dtype=torchType,
-                                                                      use_safetensors=SAFETENSORS,
-                                                                      variant=variant)
+                                                    torch_dtype=torchType,
+                                                    use_safetensors=SAFETENSORS, 
+                                                    variant=variant)
             elif request.PipelineType == "StableDiffusionPipeline":
                 if fromSingleFile:
                     self.pipe = StableDiffusionPipeline.from_single_file(modelFile,
-                                                                         torch_dtype=torchType)
+                                                        torch_dtype=torchType)
                 else:
                     self.pipe = StableDiffusionPipeline.from_pretrained(request.Model,
-                                                                        torch_dtype=torchType)
+                                                        torch_dtype=torchType)
             elif request.PipelineType == "DiffusionPipeline":
                 self.pipe = DiffusionPipeline.from_pretrained(request.Model,
-                                                              torch_dtype=torchType)
+                                                        torch_dtype=torchType)
             elif request.PipelineType == "VideoDiffusionPipeline":
-                self.txt2vid = True
+                self.txt2vid=True
                 self.pipe = DiffusionPipeline.from_pretrained(request.Model,
-                                                              torch_dtype=torchType)
+                                                        torch_dtype=torchType)
             elif request.PipelineType == "StableDiffusionXLPipeline":
                 if fromSingleFile:
                     self.pipe = StableDiffusionXLPipeline.from_single_file(modelFile,
-                                                                           torch_dtype=torchType,
-                                                                           use_safetensors=True)
+                                                               torch_dtype=torchType,
+                                                               use_safetensors=True)
                 else:
                     self.pipe = StableDiffusionXLPipeline.from_pretrained(
-                        request.Model,
-                        torch_dtype=torchType,
-                        use_safetensors=True,
+                        request.Model, 
+                        torch_dtype=torchType, 
+                        use_safetensors=True, 
                         variant=variant)
             elif request.PipelineType == "StableDiffusion3Pipeline":
                 if fromSingleFile:
                     self.pipe = StableDiffusion3Pipeline.from_single_file(modelFile,
-                                                                          torch_dtype=torchType,
-                                                                          use_safetensors=True)
+                                                               torch_dtype=torchType,
+                                                               use_safetensors=True)
                 else:
                     self.pipe = StableDiffusion3Pipeline.from_pretrained(
-                        request.Model,
-                        torch_dtype=torchType,
-                        use_safetensors=True,
+                        request.Model, 
+                        torch_dtype=torchType, 
+                        use_safetensors=True, 
                         variant=variant)
 
             if CLIPSKIP and request.CLIPSkip != 0:
                 self.clip_skip = request.CLIPSkip
             else:
                 self.clip_skip = 0
-
+            
             # torch_dtype needs to be customized. float16 for GPU, float32 for CPU
             # TODO: this needs to be customized
             if request.SchedulerType != "":
                 self.pipe.scheduler = get_scheduler(request.SchedulerType, self.pipe.scheduler.config)
-
+                
             if COMPEL:
                 self.compel = Compel(
-                    tokenizer=[self.pipe.tokenizer, self.pipe.tokenizer_2],
+                    tokenizer=[self.pipe.tokenizer, self.pipe.tokenizer_2 ], 
                     text_encoder=[self.pipe.text_encoder, self.pipe.text_encoder_2],
                     returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
                     requires_pooled=[False, True]
-                )
+                    )
+
 
             if request.ControlNet:
                 self.controlnet = ControlNetModel.from_pretrained(
@@ -270,6 +263,13 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
                 self.pipe.controlnet = self.controlnet
             else:
                 self.controlnet = None
+
+            if request.CUDA:
+                self.pipe.to('cuda')
+                if self.controlnet:
+                    self.controlnet.to('cuda')
+            if XPU:
+                self.pipe = self.pipe.to("xpu")
             # Assume directory from request.ModelFile.
             # Only if request.LoraAdapter it's not an absolute path
             if request.LoraAdapter and request.ModelFile != "" and not os.path.isabs(request.LoraAdapter) and request.LoraAdapter:
@@ -282,17 +282,10 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             if request.LoraAdapter:
                 # Check if its a local file and not a directory ( we load lora differently for a safetensor file )
                 if os.path.exists(request.LoraAdapter) and not os.path.isdir(request.LoraAdapter):
-                    # self.load_lora_weights(request.LoraAdapter, 1, device, torchType)
-                    self.pipe.load_lora_weights(request.LoraAdapter)
+                    self.load_lora_weights(request.LoraAdapter, 1, device, torchType)
                 else:
                     self.pipe.unet.load_attn_procs(request.LoraAdapter)
 
-            if request.CUDA:
-                self.pipe.to('cuda')
-                if self.controlnet:
-                    self.controlnet.to('cuda')
-            if XPU:
-                self.pipe = self.pipe.to("xpu")
         except Exception as err:
             return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
         # Implement your logic here for the LoadModel service
@@ -365,9 +358,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
 
         # create a dictionary of values for the parameters
         options = {
-            "negative_prompt": request.negative_prompt,
-            "width": request.width,
-            "height": request.height,
+            "negative_prompt":     request.negative_prompt, 
+            "width":               request.width, 
+            "height":              request.height,
             "num_inference_steps": steps,
         }
 
@@ -379,7 +372,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             options["image"] = pose_image
 
         if CLIPSKIP and self.clip_skip != 0:
-            options["clip_skip"] = self.clip_skip
+            options["clip_skip"]=self.clip_skip
 
         # Get the keys that we will build the args for our pipe for
         keys = options.keys()
@@ -423,21 +416,20 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             image = self.pipe(
                 guidance_scale=self.cfg_scale,
                 **kwargs
-            ).images[0]
+                ).images[0] 
         else:
             # pass the kwargs dictionary to the self.pipe method
             image = self.pipe(
                 prompt,
                 guidance_scale=self.cfg_scale,
                 **kwargs
-            ).images[0]
+                ).images[0]
 
         # save the result
         image.save(request.dst)
 
         return backend_pb2.Result(message="Media generated", success=True)
 
-
 def serve(address):
     server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
     backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
@@ -461,7 +453,6 @@ def serve(address):
     except KeyboardInterrupt:
         server.stop(0)
 
-
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Run the gRPC server.")
     parser.add_argument(
@@ -469,4 +460,4 @@ if __name__ == "__main__":
     )
     args = parser.parse_args()
 
-    serve(args.addr)
+    serve(args.addr)

backend/python/diffusers/requirements-intel.txt

@@ -3,4 +3,4 @@ intel-extension-for-pytorch
 torch
 torchvision
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/diffusers/requirements.txt

@@ -1,9 +1,7 @@
-setuptools
 accelerate
 compel
-peft
 diffusers
-grpcio==1.65.0
+grpcio==1.64.0
 opencv-python
 pillow
 protobuf

backend/python/exllama/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 torch
 transformers

backend/python/exllama2/requirements.txt

@@ -1,5 +1,5 @@
 accelerate
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi
 torch

backend/python/mamba/requirements-install.txt

@@ -4,4 +4,4 @@
 packaging
 setuptools
 wheel
-torch==2.3.1
+torch==2.2.0

backend/python/mamba/requirements.txt

@@ -1,6 +1,6 @@
-causal-conv1d==1.4.0
-mamba-ssm==2.2.2
-grpcio==1.65.0
+causal-conv1d==1.2.0.post2
+mamba-ssm==1.2.0.post1
+grpcio==1.64.0
 protobuf
 certifi
 transformers

backend/python/openvoice/requirements-intel.txt

@@ -2,22 +2,22 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-grpcio==1.64.1
+grpcio==1.64.0
 protobuf
 librosa==0.9.1
-faster-whisper==1.0.3
+faster-whisper==0.9.0
 pydub==0.25.1
 wavmark==0.0.3
-numpy==1.26.4
+numpy==1.22.0
 eng_to_ipa==0.0.2
 inflect==7.0.0
 unidecode==1.3.7
-whisper-timestamped==1.15.4
+whisper-timestamped==1.14.2
 openai
 python-dotenv
 pypinyin==0.50.0
 cn2an==0.5.22
 jieba==0.42.1
-gradio==4.38.1
+gradio==3.48.0
 langid==1.1.6
-git+https://github.com/myshell-ai/MeloTTS.git
+git+https://github.com/myshell-ai/MeloTTS.git

backend/python/openvoice/requirements.txt

@@ -1,20 +1,20 @@
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
-librosa
-faster-whisper
+librosa==0.9.1
+faster-whisper==0.9.0
 pydub==0.25.1
 wavmark==0.0.3
-numpy
+numpy==1.22.0
 eng_to_ipa==0.0.2
-inflect
-unidecode
-whisper-timestamped
+inflect==7.0.0
+unidecode==1.3.7
+whisper-timestamped==1.14.2
 openai
 python-dotenv
-pypinyin
+pypinyin==0.50.0
 cn2an==0.5.22
 jieba==0.42.1
-gradio
+gradio==3.48.0
 langid==1.1.6
 git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
+git+https://github.com/myshell-ai/OpenVoice.git

backend/python/parler-tts/requirements-intel.txt

@@ -3,4 +3,4 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/parler-tts/requirements.txt

@@ -1,5 +1,5 @@
 accelerate
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 torch
 git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16

backend/python/petals/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/rerankers/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/rerankers/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 rerankers[transformers]
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi
 transformers

backend/python/sentencetransformers/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/sentencetransformers/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
-sentence-transformers==3.0.1
+sentence-transformers==2.5.1
 transformers
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi

backend/python/transformers-musicgen/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/transformers-musicgen/requirements.txt

@@ -1,7 +1,7 @@
 accelerate
 transformers
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 torch
-scipy==1.14.0
+scipy==1.13.0
 certifi

backend/python/transformers/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/transformers/requirements.txt

@@ -1,9 +1,9 @@
 accelerate
 transformers
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 torch
 certifi
 intel-extension-for-transformers
 bitsandbytes
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/vall-e-x/requirements-intel.txt

@@ -3,4 +3,4 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/vall-e-x/requirements.txt

@@ -1,4 +1,4 @@
 accelerate
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi

backend/python/vllm/requirements-intel.txt

@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

backend/python/vllm/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 vllm
-grpcio==1.65.0
+grpcio==1.64.0
 protobuf
 certifi
 transformers

core/application.go

@@ -28,6 +28,7 @@ type Application struct {
 	// LocalAI System Services
 	BackendMonitorService *services.BackendMonitorService
 	GalleryService        *services.GalleryService
+	ListModelsService     *services.ListModelsService
 	LocalAIMetricsService *services.LocalAIMetricsService
 	// OpenAIService         *services.OpenAIService
 }

core/backend/llm.go

@@ -57,7 +57,7 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 		if _, err := os.Stat(modelFile); os.IsNotExist(err) {
 			utils.ResetDownloadTimers()
 			// if we failed to load the model, we try to download it
-			err := gallery.InstallModelFromGallery(o.Galleries, modelFile, loader.ModelPath, gallery.GalleryModel{}, utils.DisplayDownloadFunction, o.EnforcePredownloadScans)
+			err := gallery.InstallModelFromGallery(o.Galleries, modelFile, loader.ModelPath, gallery.GalleryModel{}, utils.DisplayDownloadFunction)
 			if err != nil {
 				return nil, err
 			}

core/backend/options.go

@@ -91,7 +91,7 @@ func gRPCModelOpts(c config.BackendConfig) *pb.ModelOptions {
 		Type:                 c.ModelType,
 		RopeFreqScale:        c.RopeFreqScale,
 		NUMA:                 c.NUMA,
-		Embeddings:           *c.Embeddings,
+		Embeddings:           c.Embeddings,
 		LowVRAM:              *c.LowVRAM,
 		NGPULayers:           int32(*c.NGPULayers),
 		MMap:                 *c.MMap,

core/cli/cli.go

@@ -9,7 +9,6 @@ var CLI struct {
 	cliContext.Context `embed:""`
 
 	Run        RunCMD        `cmd:"" help:"Run LocalAI, this the default command if no other command is specified. Run 'local-ai run --help' for more information" default:"withargs"`
-	Federated  FederatedCLI  `cmd:"" help:"Run LocalAI in federated mode"`
 	Models     ModelsCMD     `cmd:"" help:"Manage LocalAI models and definitions"`
 	TTS        TTSCMD        `cmd:"" help:"Convert text to speech"`
 	Transcript TranscriptCMD `cmd:"" help:"Convert audio to text"`

core/cli/federated.go

@@ -1,21 +0,0 @@
-package cli
-
-import (
-	"context"
-
-	cliContext "github.com/mudler/LocalAI/core/cli/context"
-	"github.com/mudler/LocalAI/core/p2p"
-)
-
-type FederatedCLI struct {
-	Address        string `env:"LOCALAI_ADDRESS,ADDRESS" default:":8080" help:"Bind address for the API server" group:"api"`
-	Peer2PeerToken string `env:"LOCALAI_P2P_TOKEN,P2P_TOKEN,TOKEN" name:"p2ptoken" help:"Token for P2P mode (optional)" group:"p2p"`
-	LoadBalanced   bool   `env:"LOCALAI_LOAD_BALANCED,LOAD_BALANCED" default:"false" help:"Enable load balancing" group:"p2p"`
-}
-
-func (f *FederatedCLI) Run(ctx *cliContext.Context) error {
-
-	fs := p2p.NewFederatedServer(f.Address, p2p.FederatedID, f.Peer2PeerToken, f.LoadBalanced)
-
-	return fs.Start(context.Background())
-}

core/cli/models.go

@@ -2,7 +2,6 @@ package cli
 
 import (
 	"encoding/json"
-	"errors"
 	"fmt"
 
 	cliContext "github.com/mudler/LocalAI/core/cli/context"
@@ -25,8 +24,7 @@ type ModelsList struct {
 }
 
 type ModelsInstall struct {
-	DisablePredownloadScan bool     `env:"LOCALAI_DISABLE_PREDOWNLOAD_SCAN" help:"If true, disables the best-effort security scanner before downloading any files." group:"hardening" default:"false"`
-	ModelArgs              []string `arg:"" optional:"" name:"models" help:"Model configuration URLs to load"`
+	ModelArgs []string `arg:"" optional:"" name:"models" help:"Model configuration URLs to load"`
 
 	ModelsCMDFlags `embed:""`
 }
@@ -90,15 +88,9 @@ func (mi *ModelsInstall) Run(ctx *cliContext.Context) error {
 				return err
 			}
 
-			err = gallery.SafetyScanGalleryModel(model)
-			if err != nil && !errors.Is(err, downloader.ErrNonHuggingFaceFile) {
-				return err
-			}
-
 			log.Info().Str("model", modelName).Str("license", model.License).Msg("installing model")
 		}
-
-		err = startup.InstallModels(galleries, "", mi.ModelsPath, !mi.DisablePredownloadScan, progressCallback, modelName)
+		err = startup.InstallModels(galleries, "", mi.ModelsPath, progressCallback, modelName)
 		if err != nil {
 			return err
 		}

core/cli/run.go

@@ -3,8 +3,6 @@ package cli
 import (
 	"context"
 	"fmt"
-	"net"
-	"os"
 	"strings"
 	"time"
 
@@ -42,27 +40,25 @@ type RunCMD struct {
 	Threads     int  `env:"LOCALAI_THREADS,THREADS" short:"t" help:"Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested" group:"performance"`
 	ContextSize int  `env:"LOCALAI_CONTEXT_SIZE,CONTEXT_SIZE" default:"512" help:"Default context size for models" group:"performance"`
 
-	Address                string   `env:"LOCALAI_ADDRESS,ADDRESS" default:":8080" help:"Bind address for the API server" group:"api"`
-	CORS                   bool     `env:"LOCALAI_CORS,CORS" help:"" group:"api"`
-	CORSAllowOrigins       string   `env:"LOCALAI_CORS_ALLOW_ORIGINS,CORS_ALLOW_ORIGINS" group:"api"`
-	LibraryPath            string   `env:"LOCALAI_LIBRARY_PATH,LIBRARY_PATH" help:"Path to the library directory (for e.g. external libraries used by backends)" default:"/usr/share/local-ai/libs" group:"backends"`
-	CSRF                   bool     `env:"LOCALAI_CSRF" help:"Enables fiber CSRF middleware" group:"api"`
-	UploadLimit            int      `env:"LOCALAI_UPLOAD_LIMIT,UPLOAD_LIMIT" default:"15" help:"Default upload-limit in MB" group:"api"`
-	APIKeys                []string `env:"LOCALAI_API_KEY,API_KEY" help:"List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys" group:"api"`
-	DisableWebUI           bool     `env:"LOCALAI_DISABLE_WEBUI,DISABLE_WEBUI" default:"false" help:"Disable webui" group:"api"`
-	DisablePredownloadScan bool     `env:"LOCALAI_DISABLE_PREDOWNLOAD_SCAN" help:"If true, disables the best-effort security scanner before downloading any files." group:"hardening" default:"false"`
-	OpaqueErrors           bool     `env:"LOCALAI_OPAQUE_ERRORS" default:"false" help:"If true, all error responses are replaced with blank 500 errors. This is intended only for hardening against information leaks and is normally not recommended." group:"hardening"`
-	Peer2Peer              bool     `env:"LOCALAI_P2P,P2P" name:"p2p" default:"false" help:"Enable P2P mode" group:"p2p"`
-	Peer2PeerToken         string   `env:"LOCALAI_P2P_TOKEN,P2P_TOKEN,TOKEN" name:"p2ptoken" help:"Token for P2P mode (optional)" group:"p2p"`
-	ParallelRequests       bool     `env:"LOCALAI_PARALLEL_REQUESTS,PARALLEL_REQUESTS" help:"Enable backends to handle multiple requests in parallel if they support it (e.g.: llama.cpp or vllm)" group:"backends"`
-	SingleActiveBackend    bool     `env:"LOCALAI_SINGLE_ACTIVE_BACKEND,SINGLE_ACTIVE_BACKEND" help:"Allow only one backend to be run at a time" group:"backends"`
-	PreloadBackendOnly     bool     `env:"LOCALAI_PRELOAD_BACKEND_ONLY,PRELOAD_BACKEND_ONLY" default:"false" help:"Do not launch the API services, only the preloaded models / backends are started (useful for multi-node setups)" group:"backends"`
-	ExternalGRPCBackends   []string `env:"LOCALAI_EXTERNAL_GRPC_BACKENDS,EXTERNAL_GRPC_BACKENDS" help:"A list of external grpc backends" group:"backends"`
-	EnableWatchdogIdle     bool     `env:"LOCALAI_WATCHDOG_IDLE,WATCHDOG_IDLE" default:"false" help:"Enable watchdog for stopping backends that are idle longer than the watchdog-idle-timeout" group:"backends"`
-	WatchdogIdleTimeout    string   `env:"LOCALAI_WATCHDOG_IDLE_TIMEOUT,WATCHDOG_IDLE_TIMEOUT" default:"15m" help:"Threshold beyond which an idle backend should be stopped" group:"backends"`
-	EnableWatchdogBusy     bool     `env:"LOCALAI_WATCHDOG_BUSY,WATCHDOG_BUSY" default:"false" help:"Enable watchdog for stopping backends that are busy longer than the watchdog-busy-timeout" group:"backends"`
-	WatchdogBusyTimeout    string   `env:"LOCALAI_WATCHDOG_BUSY_TIMEOUT,WATCHDOG_BUSY_TIMEOUT" default:"5m" help:"Threshold beyond which a busy backend should be stopped" group:"backends"`
-	Federated              bool     `env:"LOCALAI_FEDERATED,FEDERATED" help:"Enable federated instance" group:"federated"`
+	Address              string   `env:"LOCALAI_ADDRESS,ADDRESS" default:":8080" help:"Bind address for the API server" group:"api"`
+	CORS                 bool     `env:"LOCALAI_CORS,CORS" help:"" group:"api"`
+	CORSAllowOrigins     string   `env:"LOCALAI_CORS_ALLOW_ORIGINS,CORS_ALLOW_ORIGINS" group:"api"`
+	LibraryPath          string   `env:"LOCALAI_LIBRARY_PATH,LIBRARY_PATH" help:"Path to the library directory (for e.g. external libraries used by backends)" default:"/usr/share/local-ai/libs" group:"backends"`
+	CSRF                 bool     `env:"LOCALAI_CSRF" help:"Enables fiber CSRF middleware" group:"api"`
+	UploadLimit          int      `env:"LOCALAI_UPLOAD_LIMIT,UPLOAD_LIMIT" default:"15" help:"Default upload-limit in MB" group:"api"`
+	APIKeys              []string `env:"LOCALAI_API_KEY,API_KEY" help:"List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys" group:"api"`
+	DisableWebUI         bool     `env:"LOCALAI_DISABLE_WEBUI,DISABLE_WEBUI" default:"false" help:"Disable webui" group:"api"`
+	OpaqueErrors         bool     `env:"LOCALAI_OPAQUE_ERRORS" default:"false" help:"If true, all error responses are replaced with blank 500 errors. This is intended only for hardening against information leaks and is normally not recommended." group:"api"`
+	Peer2Peer            bool     `env:"LOCALAI_P2P,P2P" name:"p2p" default:"false" help:"Enable P2P mode" group:"p2p"`
+	Peer2PeerToken       string   `env:"LOCALAI_P2P_TOKEN,P2P_TOKEN" name:"p2ptoken" help:"Token for P2P mode (optional)" group:"p2p"`
+	ParallelRequests     bool     `env:"LOCALAI_PARALLEL_REQUESTS,PARALLEL_REQUESTS" help:"Enable backends to handle multiple requests in parallel if they support it (e.g.: llama.cpp or vllm)" group:"backends"`
+	SingleActiveBackend  bool     `env:"LOCALAI_SINGLE_ACTIVE_BACKEND,SINGLE_ACTIVE_BACKEND" help:"Allow only one backend to be run at a time" group:"backends"`
+	PreloadBackendOnly   bool     `env:"LOCALAI_PRELOAD_BACKEND_ONLY,PRELOAD_BACKEND_ONLY" default:"false" help:"Do not launch the API services, only the preloaded models / backends are started (useful for multi-node setups)" group:"backends"`
+	ExternalGRPCBackends []string `env:"LOCALAI_EXTERNAL_GRPC_BACKENDS,EXTERNAL_GRPC_BACKENDS" help:"A list of external grpc backends" group:"backends"`
+	EnableWatchdogIdle   bool     `env:"LOCALAI_WATCHDOG_IDLE,WATCHDOG_IDLE" default:"false" help:"Enable watchdog for stopping backends that are idle longer than the watchdog-idle-timeout" group:"backends"`
+	WatchdogIdleTimeout  string   `env:"LOCALAI_WATCHDOG_IDLE_TIMEOUT,WATCHDOG_IDLE_TIMEOUT" default:"15m" help:"Threshold beyond which an idle backend should be stopped" group:"backends"`
+	EnableWatchdogBusy   bool     `env:"LOCALAI_WATCHDOG_BUSY,WATCHDOG_BUSY" default:"false" help:"Enable watchdog for stopping backends that are busy longer than the watchdog-busy-timeout" group:"backends"`
+	WatchdogBusyTimeout  string   `env:"LOCALAI_WATCHDOG_BUSY_TIMEOUT,WATCHDOG_BUSY_TIMEOUT" default:"5m" help:"Threshold beyond which a busy backend should be stopped" group:"backends"`
 }
 
 func (r *RunCMD) Run(ctx *cliContext.Context) error {
@@ -93,13 +89,11 @@ func (r *RunCMD) Run(ctx *cliContext.Context) error {
 		config.WithApiKeys(r.APIKeys),
 		config.WithModelsURL(append(r.Models, r.ModelArgs...)...),
 		config.WithOpaqueErrors(r.OpaqueErrors),
-		config.WithEnforcedPredownloadScans(!r.DisablePredownloadScan),
 	}
 
-	token := ""
 	if r.Peer2Peer || r.Peer2PeerToken != "" {
 		log.Info().Msg("P2P mode enabled")
-		token = r.Peer2PeerToken
+		token := r.Peer2PeerToken
 		if token == "" {
 			// IF no token is provided, and p2p is enabled,
 			// we generate one and wait for the user to pick up the token (this is for interactive)
@@ -110,46 +104,14 @@ func (r *RunCMD) Run(ctx *cliContext.Context) error {
 
 			log.Info().Msg("To use the token, you can run the following command in another node or terminal:")
 			fmt.Printf("export TOKEN=\"%s\"\nlocal-ai worker p2p-llama-cpp-rpc\n", token)
-		}
-		opts = append(opts, config.WithP2PToken(token))
 
-		node, err := p2p.NewNode(token)
-		if err != nil {
-			return err
+			// Ask for user confirmation
+			log.Info().Msg("Press a button to proceed")
+			var input string
+			fmt.Scanln(&input)
 		}
-
 		log.Info().Msg("Starting P2P server discovery...")
-		if err := p2p.ServiceDiscoverer(context.Background(), node, token, "", func(serviceID string, node p2p.NodeData) {
-			var tunnelAddresses []string
-			for _, v := range p2p.GetAvailableNodes("") {
-				if v.IsOnline() {
-					tunnelAddresses = append(tunnelAddresses, v.TunnelAddress)
-				} else {
-					log.Info().Msgf("Node %s is offline", v.ID)
-				}
-			}
-			tunnelEnvVar := strings.Join(tunnelAddresses, ",")
-
-			os.Setenv("LLAMACPP_GRPC_SERVERS", tunnelEnvVar)
-			log.Debug().Msgf("setting LLAMACPP_GRPC_SERVERS to %s", tunnelEnvVar)
-		}); err != nil {
-			return err
-		}
-	}
-
-	if r.Federated {
-		_, port, err := net.SplitHostPort(r.Address)
-		if err != nil {
-			return err
-		}
-		if err := p2p.ExposeService(context.Background(), "localhost", port, token, p2p.FederatedID); err != nil {
-			return err
-		}
-		node, err := p2p.NewNode(token)
-		if err != nil {
-			return err
-		}
-		if err := p2p.ServiceDiscoverer(context.Background(), node, token, p2p.FederatedID, nil); err != nil {
+		if err := p2p.LLamaCPPRPCServerDiscoverer(context.Background(), token); err != nil {
 			return err
 		}
 	}

core/cli/util.go

@@ -1,22 +1,16 @@
 package cli
 
 import (
-	"encoding/json"
-	"errors"
 	"fmt"
 
 	"github.com/rs/zerolog/log"
 
 	cliContext "github.com/mudler/LocalAI/core/cli/context"
-	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/gallery"
-	"github.com/mudler/LocalAI/pkg/downloader"
 	gguf "github.com/thxcode/gguf-parser-go"
 )
 
 type UtilCMD struct {
 	GGUFInfo GGUFInfoCMD `cmd:"" name:"gguf-info" help:"Get information about a GGUF file"`
-	HFScan   HFScanCMD   `cmd:"" name:"hf-scan" help:"Checks installed models for known security issues. WARNING: this is a best-effort feature and may not catch everything!"`
 }
 
 type GGUFInfoCMD struct {
@@ -24,12 +18,6 @@ type GGUFInfoCMD struct {
 	Header bool     `optional:"" default:"false" name:"header" help:"Show header information"`
 }
 
-type HFScanCMD struct {
-	ModelsPath string   `env:"LOCALAI_MODELS_PATH,MODELS_PATH" type:"path" default:"${basepath}/models" help:"Path containing models used for inferencing" group:"storage"`
-	Galleries  string   `env:"LOCALAI_GALLERIES,GALLERIES" help:"JSON list of galleries" group:"models" default:"${galleries}"`
-	ToScan     []string `arg:""`
-}
-
 func (u *GGUFInfoCMD) Run(ctx *cliContext.Context) error {
 	if u.Args == nil || len(u.Args) == 0 {
 		return fmt.Errorf("no GGUF file provided")
@@ -65,37 +53,3 @@ func (u *GGUFInfoCMD) Run(ctx *cliContext.Context) error {
 
 	return nil
 }
-
-func (hfscmd *HFScanCMD) Run(ctx *cliContext.Context) error {
-	log.Info().Msg("LocalAI Security Scanner - This is BEST EFFORT functionality! Currently limited to huggingface models!")
-	if len(hfscmd.ToScan) == 0 {
-		log.Info().Msg("Checking all installed models against galleries")
-		var galleries []config.Gallery
-		if err := json.Unmarshal([]byte(hfscmd.Galleries), &galleries); err != nil {
-			log.Error().Err(err).Msg("unable to load galleries")
-		}
-
-		err := gallery.SafetyScanGalleryModels(galleries, hfscmd.ModelsPath)
-		if err == nil {
-			log.Info().Msg("No security warnings were detected for your installed models. Please note that this is a BEST EFFORT tool, and all issues may not be detected.")
-		} else {
-			log.Error().Err(err).Msg("! WARNING ! A known-vulnerable model is installed!")
-		}
-		return err
-	} else {
-		var errs error = nil
-		for _, uri := range hfscmd.ToScan {
-			log.Info().Str("uri", uri).Msg("scanning specific uri")
-			scanResults, err := downloader.HuggingFaceScan(uri)
-			if err != nil && !errors.Is(err, downloader.ErrNonHuggingFaceFile) {
-				log.Error().Err(err).Strs("clamAV", scanResults.ClamAVInfectedFiles).Strs("pickles", scanResults.DangerousPickles).Msg("! WARNING ! A known-vulnerable model is included in this repo!")
-				errs = errors.Join(errs, err)
-			}
-		}
-		if errs != nil {
-			return errs
-		}
-		log.Info().Msg("No security warnings were detected for your installed models. Please note that this is a BEST EFFORT tool, and all issues may not be detected.")
-		return nil
-	}
-}

core/cli/worker/worker_p2p.go

@@ -20,7 +20,7 @@ import (
 
 type P2P struct {
 	WorkerFlags       `embed:""`
-	Token             string   `env:"LOCALAI_TOKEN,LOCALAI_P2P_TOKEN,TOKEN" help:"P2P token to use"`
+	Token             string   `env:"LOCALAI_TOKEN,TOKEN" help:"JSON list of galleries"`
 	NoRunner          bool     `env:"LOCALAI_NO_RUNNER,NO_RUNNER" help:"Do not start the llama-cpp-rpc-server"`
 	RunnerAddress     string   `env:"LOCALAI_RUNNER_ADDRESS,RUNNER_ADDRESS" help:"Address of the llama-cpp-rpc-server"`
 	RunnerPort        string   `env:"LOCALAI_RUNNER_PORT,RUNNER_PORT" help:"Port of the llama-cpp-rpc-server"`
@@ -59,7 +59,7 @@ func (r *P2P) Run(ctx *cliContext.Context) error {
 			p = r.RunnerPort
 		}
 
-		err = p2p.ExposeService(context.Background(), address, p, r.Token, "")
+		err = p2p.BindLLamaCPPWorker(context.Background(), address, p, r.Token)
 		if err != nil {
 			return err
 		}
@@ -99,7 +99,7 @@ func (r *P2P) Run(ctx *cliContext.Context) error {
 		}
 	}()
 
-	err = p2p.ExposeService(context.Background(), address, fmt.Sprint(port), r.Token, "")
+	err = p2p.BindLLamaCPPWorker(context.Background(), address, fmt.Sprint(port), r.Token)
 	if err != nil {
 		return err
 	}

core/config/application_config.go

@@ -31,9 +31,7 @@ type ApplicationConfig struct {
 	PreloadModelsFromPath               string
 	CORSAllowOrigins                    string
 	ApiKeys                             []string
-	EnforcePredownloadScans             bool
 	OpaqueErrors                        bool
-	P2PToken                            string
 
 	ModelLibraryURL string
 
@@ -97,12 +95,6 @@ func WithCsrf(b bool) AppOption {
 	}
 }
 
-func WithP2PToken(s string) AppOption {
-	return func(o *ApplicationConfig) {
-		o.P2PToken = s
-	}
-}
-
 func WithModelLibraryURL(url string) AppOption {
 	return func(o *ApplicationConfig) {
 		o.ModelLibraryURL = url
@@ -302,12 +294,6 @@ func WithApiKeys(apiKeys []string) AppOption {
 	}
 }
 
-func WithEnforcedPredownloadScans(enforced bool) AppOption {
-	return func(o *ApplicationConfig) {
-		o.EnforcePredownloadScans = enforced
-	}
-}
-
 func WithOpaqueErrors(opaque bool) AppOption {
 	return func(o *ApplicationConfig) {
 		o.OpaqueErrors = opaque

core/config/backend_config.go

@@ -32,7 +32,7 @@ type BackendConfig struct {
 	Threads        *int              `yaml:"threads"`
 	Debug          *bool             `yaml:"debug"`
 	Roles          map[string]string `yaml:"roles"`
-	Embeddings     *bool             `yaml:"embeddings"`
+	Embeddings     bool              `yaml:"embeddings"`
 	Backend        string            `yaml:"backend"`
 	TemplateConfig TemplateConfig    `yaml:"template"`
 
@@ -338,10 +338,6 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
 		cfg.LowVRAM = &falseV
 	}
 
-	if cfg.Embeddings == nil {
-		cfg.Embeddings = &falseV
-	}
-
 	// Value passed by the top level are treated as default (no implicit defaults)
 	// defaults are set by the user
 	if ctx == 0 {

core/config/guesser.go

@@ -20,7 +20,6 @@ const (
 	ChatML
 	Mistral03
 	Gemma
-	DeepSeek2
 )
 
 type settingsConfig struct {
@@ -38,17 +37,6 @@ var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConf
 			Completion:  "{{.Input}}",
 		},
 	},
-	DeepSeek2: {
-		StopWords: []string{"<｜end▁of▁sentence｜>"},
-		TemplateConfig: TemplateConfig{
-			ChatMessage: `{{if eq .RoleName "user" -}}User: {{.Content }}
-{{ end -}}
-{{if eq .RoleName "assistant" -}}Assistant: {{.Content}}<｜end▁of▁sentence｜>{{end}}
-{{if eq .RoleName "system" -}}{{.Content}}
-{{end -}}`,
-			Chat: "{{.Input -}}\nAssistant: ",
-		},
-	},
 	LLaMa3: {
 		StopWords: []string{"<|eot_id|>"},
 		TemplateConfig: TemplateConfig{
@@ -220,11 +208,8 @@ func identifyFamily(f *gguf.GGUFFile) familyType {
 	qwen2 := arch == "qwen2"
 	phi3 := arch == "phi-3"
 	gemma := strings.HasPrefix(f.Model().Name, "gemma")
-	deepseek2 := arch == "deepseek2"
 
 	switch {
-	case deepseek2:
-		return DeepSeek2
 	case gemma:
 		return Gemma
 	case llama3:

core/gallery/gallery.go

@@ -7,16 +7,15 @@ import (
 	"path/filepath"
 	"strings"
 
-	"dario.cat/mergo"
+	"github.com/imdario/mergo"
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/pkg/downloader"
-	"github.com/mudler/LocalAI/pkg/utils"
 	"github.com/rs/zerolog/log"
 	"gopkg.in/yaml.v2"
 )
 
 // Installs a model from the gallery
-func InstallModelFromGallery(galleries []config.Gallery, name string, basePath string, req GalleryModel, downloadStatus func(string, string, string, float64), enforceScan bool) error {
+func InstallModelFromGallery(galleries []config.Gallery, name string, basePath string, req GalleryModel, downloadStatus func(string, string, string, float64)) error {
 
 	applyModel := func(model *GalleryModel) error {
 		name = strings.ReplaceAll(name, string(os.PathSeparator), "__")
@@ -64,7 +63,7 @@ func InstallModelFromGallery(galleries []config.Gallery, name string, basePath s
 			return err
 		}
 
-		if err := InstallModel(basePath, installName, &config, model.Overrides, downloadStatus, enforceScan); err != nil {
+		if err := InstallModel(basePath, installName, &config, model.Overrides, downloadStatus); err != nil {
 			return err
 		}
 
@@ -190,12 +189,6 @@ func DeleteModelFromSystem(basePath string, name string, additionalFiles []strin
 
 	galleryFile := filepath.Join(basePath, galleryFileName(name))
 
-	for _, f := range []string{configFile, galleryFile} {
-		if err := utils.VerifyPath(f, basePath); err != nil {
-			return fmt.Errorf("failed to verify path %s: %w", f, err)
-		}
-	}
-
 	var err error
 	// Delete all the files associated to the model
 	// read the model config
@@ -235,29 +228,3 @@ func DeleteModelFromSystem(basePath string, name string, additionalFiles []strin
 
 	return err
 }
-
-// This is ***NEVER*** going to be perfect or finished.
-// This is a BEST EFFORT function to surface known-vulnerable models to users.
-func SafetyScanGalleryModels(galleries []config.Gallery, basePath string) error {
-	galleryModels, err := AvailableGalleryModels(galleries, basePath)
-	if err != nil {
-		return err
-	}
-	for _, gM := range galleryModels {
-		if gM.Installed {
-			err = errors.Join(err, SafetyScanGalleryModel(gM))
-		}
-	}
-	return err
-}
-
-func SafetyScanGalleryModel(galleryModel *GalleryModel) error {
-	for _, file := range galleryModel.AdditionalFiles {
-		scanResults, err := downloader.HuggingFaceScan(file.URI)
-		if err != nil && !errors.Is(err, downloader.ErrNonHuggingFaceFile) {
-			log.Error().Str("model", galleryModel.Name).Strs("clamAV", scanResults.ClamAVInfectedFiles).Strs("pickles", scanResults.DangerousPickles).Msg("Contains unsafe file(s)!")
-			return err
-		}
-	}
-	return nil
-}

core/gallery/models.go

@@ -1,12 +1,11 @@
 package gallery
 
 import (
-	"errors"
 	"fmt"
 	"os"
 	"path/filepath"
 
-	"dario.cat/mergo"
+	"github.com/imdario/mergo"
 	lconfig "github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/pkg/downloader"
 	"github.com/mudler/LocalAI/pkg/utils"
@@ -95,7 +94,7 @@ func ReadConfigFile(filePath string) (*Config, error) {
 	return &config, nil
 }
 
-func InstallModel(basePath, nameOverride string, config *Config, configOverrides map[string]interface{}, downloadStatus func(string, string, string, float64), enforceScan bool) error {
+func InstallModel(basePath, nameOverride string, config *Config, configOverrides map[string]interface{}, downloadStatus func(string, string, string, float64)) error {
 	// Create base path if it doesn't exist
 	err := os.MkdirAll(basePath, 0750)
 	if err != nil {
@@ -113,18 +112,9 @@ func InstallModel(basePath, nameOverride string, config *Config, configOverrides
 		if err := utils.VerifyPath(file.Filename, basePath); err != nil {
 			return err
 		}
-
 		// Create file path
 		filePath := filepath.Join(basePath, file.Filename)
 
-		if enforceScan {
-			scanResults, err := downloader.HuggingFaceScan(file.URI)
-			if err != nil && !errors.Is(err, downloader.ErrNonHuggingFaceFile) {
-				log.Error().Str("model", config.Name).Strs("clamAV", scanResults.ClamAVInfectedFiles).Strs("pickles", scanResults.DangerousPickles).Msg("Contains unsafe file(s)!")
-				return err
-			}
-		}
-
 		if err := downloader.DownloadFile(file.URI, filePath, file.SHA256, i, len(config.Files), downloadStatus); err != nil {
 			return err
 		}

core/gallery/models_test.go

@@ -21,7 +21,7 @@ var _ = Describe("Model test", func() {
 			defer os.RemoveAll(tempdir)
 			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
 			Expect(err).ToNot(HaveOccurred())
-			err = InstallModel(tempdir, "", c, map[string]interface{}{}, func(string, string, string, float64) {}, true)
+			err = InstallModel(tempdir, "", c, map[string]interface{}{}, func(string, string, string, float64) {})
 			Expect(err).ToNot(HaveOccurred())
 
 			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "cerebras.yaml"} {
@@ -69,7 +69,7 @@ var _ = Describe("Model test", func() {
 			Expect(models[0].URL).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml"))
 			Expect(models[0].Installed).To(BeFalse())
 
-			err = InstallModelFromGallery(galleries, "test@bert", tempdir, GalleryModel{}, func(s1, s2, s3 string, f float64) {}, true)
+			err = InstallModelFromGallery(galleries, "test@bert", tempdir, GalleryModel{}, func(s1, s2, s3 string, f float64) {})
 			Expect(err).ToNot(HaveOccurred())
 
 			dat, err := os.ReadFile(filepath.Join(tempdir, "bert.yaml"))
@@ -106,7 +106,7 @@ var _ = Describe("Model test", func() {
 			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
 			Expect(err).ToNot(HaveOccurred())
 
-			err = InstallModel(tempdir, "foo", c, map[string]interface{}{}, func(string, string, string, float64) {}, true)
+			err = InstallModel(tempdir, "foo", c, map[string]interface{}{}, func(string, string, string, float64) {})
 			Expect(err).ToNot(HaveOccurred())
 
 			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
@@ -122,7 +122,7 @@ var _ = Describe("Model test", func() {
 			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
 			Expect(err).ToNot(HaveOccurred())
 
-			err = InstallModel(tempdir, "foo", c, map[string]interface{}{"backend": "foo"}, func(string, string, string, float64) {}, true)
+			err = InstallModel(tempdir, "foo", c, map[string]interface{}{"backend": "foo"}, func(string, string, string, float64) {})
 			Expect(err).ToNot(HaveOccurred())
 
 			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
@@ -148,7 +148,7 @@ var _ = Describe("Model test", func() {
 			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
 			Expect(err).ToNot(HaveOccurred())
 
-			err = InstallModel(tempdir, "../../../foo", c, map[string]interface{}{}, func(string, string, string, float64) {}, true)
+			err = InstallModel(tempdir, "../../../foo", c, map[string]interface{}{}, func(string, string, string, float64) {})
 			Expect(err).To(HaveOccurred())
 		})
 	})

core/http/ctx/fiber.go

@@ -5,8 +5,6 @@ import (
 	"strings"
 
 	"github.com/gofiber/fiber/v2"
-	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/pkg/model"
 	"github.com/rs/zerolog/log"
 )
@@ -15,7 +13,7 @@ import (
 // If no model is specified, it will take the first available
 // Takes a model string as input which should be the one received from the user request.
 // It returns the model name resolved from the context and an error if any.
-func ModelFromContext(ctx *fiber.Ctx, cl *config.BackendConfigLoader, loader *model.ModelLoader, modelInput string, firstModel bool) (string, error) {
+func ModelFromContext(ctx *fiber.Ctx, loader *model.ModelLoader, modelInput string, firstModel bool) (string, error) {
 	if ctx.Params("model") != "" {
 		modelInput = ctx.Params("model")
 	}
@@ -26,7 +24,7 @@ func ModelFromContext(ctx *fiber.Ctx, cl *config.BackendConfigLoader, loader *mo
 
 	// If no model was specified, take the first available
 	if modelInput == "" && !bearerExists && firstModel {
-		models, _ := services.ListModels(cl, loader, "", true)
+		models, _ := loader.ListModels()
 		if len(models) > 0 {
 			modelInput = models[0]
 			log.Debug().Msgf("No model specified, using: %s", modelInput)

core/http/elements/gallery.go

@@ -7,7 +7,6 @@ import (
 	"github.com/chasefleming/elem-go"
 	"github.com/chasefleming/elem-go/attrs"
 	"github.com/mudler/LocalAI/core/gallery"
-	"github.com/mudler/LocalAI/core/p2p"
 	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/pkg/xsync"
 )
@@ -16,14 +15,6 @@ const (
 	noImage = "https://upload.wikimedia.org/wikipedia/commons/6/65/No-Image-Placeholder.svg"
 )
 
-func renderElements(n []elem.Node) string {
-	render := ""
-	for _, r := range n {
-		render += r.Render()
-	}
-	return render
-}
-
 func DoneProgress(galleryID, text string, showDelete bool) string {
 	var modelName = galleryID
 	// Split by @ and grab the name
@@ -81,135 +72,6 @@ func ProgressBar(progress string) string {
 	).Render()
 }
 
-func P2PNodeStats(nodes []p2p.NodeData) string {
-	/*
-	   <div class="bg-gray-800 p-6 rounded-lg shadow-lg text-left">
-	                       <p class="text-xl font-semibold text-gray-200">Total Workers Detected: {{ len .Nodes }}</p>
-	                       {{ $online := 0 }}
-	                       {{ range .Nodes }}
-	                           {{ if .IsOnline }}
-	                               {{ $online = add $online 1 }}
-	                           {{ end }}
-	                       {{ end }}
-	                       <p class="text-xl font-semibold text-gray-200">Total Online Workers: {{$online}}</p>
-	                   </div>
-	*/
-
-	online := 0
-	for _, n := range nodes {
-		if n.IsOnline() {
-			online++
-		}
-	}
-
-	class := "text-green-500"
-	if online == 0 {
-		class = "text-red-500"
-	}
-	/*
-	   <i class="fas fa-circle animate-pulse text-green-500 ml-2 mr-1"></i>
-	*/
-	circle := elem.I(attrs.Props{
-		"class": "fas fa-circle animate-pulse " + class + " ml-2 mr-1",
-	})
-	nodesElements := []elem.Node{
-		elem.Span(
-			attrs.Props{
-				"class": class,
-			},
-			circle,
-			elem.Text(fmt.Sprintf("%d", online)),
-		),
-		elem.Span(
-			attrs.Props{
-				"class": "text-gray-200",
-			},
-			elem.Text(fmt.Sprintf("/%d", len(nodes))),
-		),
-	}
-
-	return renderElements(nodesElements)
-}
-
-func P2PNodeBoxes(nodes []p2p.NodeData) string {
-	/*
-			<div class="bg-gray-800 p-4 rounded-lg shadow-lg text-left">
-			<div class="flex items-center mb-2">
-				<i class="fas fa-desktop text-gray-400 mr-2"></i>
-				<span class="text-gray-200 font-semibold">{{.ID}}</span>
-			</div>
-			<p class="text-sm text-gray-400 mt-2 flex items-center">
-				Status:
-				<i class="fas fa-circle {{ if .IsOnline }}text-green-500{{ else }}text-red-500{{ end }} ml-2 mr-1"></i>
-				<span class="{{ if .IsOnline }}text-green-400{{ else }}text-red-400{{ end }}">
-					{{ if .IsOnline }}Online{{ else }}Offline{{ end }}
-				</span>
-			</p>
-		</div>
-	*/
-
-	nodesElements := []elem.Node{}
-
-	for _, n := range nodes {
-
-		nodesElements = append(nodesElements,
-			elem.Div(
-				attrs.Props{
-					"class": "bg-gray-700 p-6 rounded-lg shadow-lg text-left",
-				},
-				elem.P(
-					attrs.Props{
-						"class": "text-sm text-gray-400 mt-2 flex",
-					},
-					elem.I(
-						attrs.Props{
-							"class": "fas fa-desktop text-gray-400 mr-2",
-						},
-					),
-					elem.Text("Name: "),
-					elem.Span(
-						attrs.Props{
-							"class": "text-gray-200 font-semibold ml-2 mr-1",
-						},
-						elem.Text(n.ID),
-					),
-					elem.Text("Status: "),
-					elem.If(
-						n.IsOnline(),
-						elem.I(
-							attrs.Props{
-								"class": "fas fa-circle animate-pulse text-green-500 ml-2 mr-1",
-							},
-						),
-						elem.I(
-							attrs.Props{
-								"class": "fas fa-circle animate-pulse text-red-500 ml-2 mr-1",
-							},
-						),
-					),
-					elem.If(
-						n.IsOnline(),
-						elem.Span(
-							attrs.Props{
-								"class": "text-green-400",
-							},
-
-							elem.Text("Online"),
-						),
-						elem.Span(
-							attrs.Props{
-								"class": "text-red-400",
-							},
-							elem.Text("Offline"),
-						),
-					),
-				),
-			))
-	}
-
-	return renderElements(nodesElements)
-}
-
 func StartProgressBar(uid, progress, text string) string {
 	if progress == "" {
 		progress = "0"

core/http/endpoints/elevenlabs/tts.go

@@ -28,7 +28,7 @@ func TTSEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfi
 			return err
 		}
 
-		modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.ModelID, false)
+		modelFile, err := fiberContext.ModelFromContext(c, ml, input.ModelID, false)
 		if err != nil {
 			modelFile = input.ModelID
 			log.Warn().Msgf("Model not found in context: %s", input.ModelID)

core/http/endpoints/jina/rerank.go

@@ -12,11 +12,6 @@ import (
 	"github.com/rs/zerolog/log"
 )
 
-// JINARerankEndpoint acts like the Jina reranker endpoint (https://jina.ai/reranker/)
-// @Summary Reranks a list of phrases by relevance to a given text query.
-// @Param request body schema.JINARerankRequest true "query params"
-// @Success 200 {object} schema.JINARerankResponse "Response"
-// @Router /v1/rerank [post]
 func JINARerankEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		req := new(schema.JINARerankRequest)
@@ -33,7 +28,7 @@ func JINARerankEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, a
 			return err
 		}
 
-		modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.Model, false)
+		modelFile, err := fiberContext.ModelFromContext(c, ml, input.Model, false)
 		if err != nil {
 			modelFile = input.Model
 			log.Warn().Msgf("Model not found in context: %s", input.Model)

core/http/endpoints/localai/backend_monitor.go

@@ -6,11 +6,6 @@ import (
 	"github.com/mudler/LocalAI/core/services"
 )
 
-// BackendMonitorEndpoint returns the status of the specified backend
-// @Summary Backend monitor endpoint
-// @Param request body schema.BackendMonitorRequest true "Backend statistics request"
-// @Success 200 {object} proto.StatusResponse "Response"
-// @Router /backend/monitor [get]
 func BackendMonitorEndpoint(bm *services.BackendMonitorService) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 
@@ -28,10 +23,6 @@ func BackendMonitorEndpoint(bm *services.BackendMonitorService) func(c *fiber.Ct
 	}
 }
 
-// BackendMonitorEndpoint shuts down the specified backend
-// @Summary Backend monitor endpoint
-// @Param request body schema.BackendMonitorRequest true "Backend statistics request"
-// @Router /backend/shutdown [post]
 func BackendShutdownEndpoint(bm *services.BackendMonitorService) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		input := new(schema.BackendMonitorRequest)

core/http/endpoints/localai/gallery.go

@@ -9,7 +9,6 @@ import (
 	"github.com/google/uuid"
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/gallery"
-	"github.com/mudler/LocalAI/core/schema"
 	"github.com/mudler/LocalAI/core/services"
 	"github.com/rs/zerolog/log"
 )
@@ -34,10 +33,6 @@ func CreateModelGalleryEndpointService(galleries []config.Gallery, modelPath str
 	}
 }
 
-// GetOpStatusEndpoint returns the job status
-// @Summary Returns the job status
-// @Success 200 {object} gallery.GalleryOpStatus "Response"
-// @Router /models/jobs/{uuid} [get]
 func (mgs *ModelGalleryEndpointService) GetOpStatusEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		status := mgs.galleryApplier.GetStatus(c.Params("uuid"))
@@ -48,21 +43,12 @@ func (mgs *ModelGalleryEndpointService) GetOpStatusEndpoint() func(c *fiber.Ctx)
 	}
 }
 
-// GetAllStatusEndpoint returns all the jobs status progress
-// @Summary Returns all the jobs status progress
-// @Success 200 {object} map[string]gallery.GalleryOpStatus "Response"
-// @Router /models/jobs [get]
 func (mgs *ModelGalleryEndpointService) GetAllStatusEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		return c.JSON(mgs.galleryApplier.GetAllStatus())
 	}
 }
 
-// ApplyModelGalleryEndpoint installs a new model to a LocalAI instance from the model gallery
-// @Summary Install models to LocalAI.
-// @Param request body GalleryModel true "query params"
-// @Success 200 {object} schema.GalleryResponse "Response"
-// @Router /models/apply [post]
 func (mgs *ModelGalleryEndpointService) ApplyModelGalleryEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		input := new(GalleryModel)
@@ -82,15 +68,13 @@ func (mgs *ModelGalleryEndpointService) ApplyModelGalleryEndpoint() func(c *fibe
 			Galleries:        mgs.galleries,
 			ConfigURL:        input.ConfigURL,
 		}
-		return c.JSON(schema.GalleryResponse{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
+		return c.JSON(struct {
+			ID        string `json:"uuid"`
+			StatusURL string `json:"status"`
+		}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
 	}
 }
 
-// DeleteModelGalleryEndpoint lets delete models from a LocalAI instance
-// @Summary delete models to LocalAI.
-// @Param name	path string	true	"Model name"
-// @Success 200 {object} schema.GalleryResponse "Response"
-// @Router /models/delete/{name} [post]
 func (mgs *ModelGalleryEndpointService) DeleteModelGalleryEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		modelName := c.Params("name")
@@ -105,14 +89,13 @@ func (mgs *ModelGalleryEndpointService) DeleteModelGalleryEndpoint() func(c *fib
 			return err
 		}
 
-		return c.JSON(schema.GalleryResponse{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
+		return c.JSON(struct {
+			ID        string `json:"uuid"`
+			StatusURL string `json:"status"`
+		}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
 	}
 }
 
-// ListModelFromGalleryEndpoint list the available models for installation from the active galleries
-// @Summary List installable models.
-// @Success 200 {object} []gallery.GalleryModel "Response"
-// @Router /models/available [get]
 func (mgs *ModelGalleryEndpointService) ListModelFromGalleryEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		log.Debug().Msgf("Listing models from galleries: %+v", mgs.galleries)
@@ -133,10 +116,6 @@ func (mgs *ModelGalleryEndpointService) ListModelFromGalleryEndpoint() func(c *f
 	}
 }
 
-// ListModelGalleriesEndpoint list the available galleries configured in LocalAI
-// @Summary List all Galleries
-// @Success 200 {object} []config.Gallery "Response"
-// @Router /models/galleries [get]
 // NOTE: This is different (and much simpler!) than above! This JUST lists the model galleries that have been loaded, not their contents!
 func (mgs *ModelGalleryEndpointService) ListModelGalleriesEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
@@ -149,11 +128,6 @@ func (mgs *ModelGalleryEndpointService) ListModelGalleriesEndpoint() func(c *fib
 	}
 }
 
-// AddModelGalleryEndpoint adds a gallery in LocalAI
-// @Summary Adds a gallery in LocalAI
-// @Param request body config.Gallery true "Gallery details"
-// @Success 200 {object} []config.Gallery "Response"
-// @Router /models/galleries [post]
 func (mgs *ModelGalleryEndpointService) AddModelGalleryEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		input := new(config.Gallery)
@@ -176,11 +150,6 @@ func (mgs *ModelGalleryEndpointService) AddModelGalleryEndpoint() func(c *fiber.
 	}
 }
 
-// RemoveModelGalleryEndpoint remove a gallery in LocalAI
-// @Summary removes a gallery from LocalAI
-// @Param request body config.Gallery true "Gallery details"
-// @Success 200 {object} []config.Gallery "Response"
-// @Router /models/galleries [delete]
 func (mgs *ModelGalleryEndpointService) RemoveModelGalleryEndpoint() func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		input := new(config.Gallery)
@@ -196,10 +165,6 @@ func (mgs *ModelGalleryEndpointService) RemoveModelGalleryEndpoint() func(c *fib
 		mgs.galleries = slices.DeleteFunc(mgs.galleries, func(gallery config.Gallery) bool {
 			return gallery.Name == input.Name
 		})
-		dat, err := json.Marshal(mgs.galleries)
-		if err != nil {
-			return err
-		}
-		return c.Send(dat)
+		return c.Send(nil)
 	}
 }

core/http/endpoints/localai/metrics.go

@@ -9,11 +9,8 @@ import (
 	"github.com/prometheus/client_golang/prometheus/promhttp"
 )
 
-// LocalAIMetricsEndpoint returns the metrics endpoint for LocalAI
-// @Summary Prometheus metrics endpoint
-// @Param request body config.Gallery true "Gallery details"
-// @Router /metrics [get]
 func LocalAIMetricsEndpoint() fiber.Handler {
+
 	return adaptor.HTTPHandler(promhttp.Handler())
 }
 

core/http/endpoints/localai/p2p.go

@@ -1,28 +0,0 @@
-package localai
-
-import (
-	"github.com/gofiber/fiber/v2"
-	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/p2p"
-	"github.com/mudler/LocalAI/core/schema"
-)
-
-// ShowP2PNodes returns the P2P Nodes
-// @Summary Returns available P2P nodes
-// @Success 200 {object} []schema.P2PNodesResponse "Response"
-// @Router /api/p2p [get]
-func ShowP2PNodes(c *fiber.Ctx) error {
-	// Render index
-	return c.JSON(schema.P2PNodesResponse{
-		Nodes:          p2p.GetAvailableNodes(""),
-		FederatedNodes: p2p.GetAvailableNodes(p2p.FederatedID),
-	})
-}
-
-// ShowP2PToken returns the P2P token
-// @Summary Show the P2P token
-// @Success 200 {string} string	 "Response"
-// @Router /api/p2p/token [get]
-func ShowP2PToken(appConfig *config.ApplicationConfig) func(*fiber.Ctx) error {
-	return func(c *fiber.Ctx) error { return c.Send([]byte(appConfig.P2PToken)) }
-}

core/http/endpoints/localai/tts.go

@@ -29,7 +29,7 @@ func TTSEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfi
 			return err
 		}
 
-		modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.Model, false)
+		modelFile, err := fiberContext.ModelFromContext(c, ml, input.Model, false)
 		if err != nil {
 			modelFile = input.Model
 			log.Warn().Msgf("Model not found in context: %s", input.Model)

core/http/endpoints/localai/welcome.go

@@ -4,8 +4,6 @@ import (
 	"github.com/gofiber/fiber/v2"
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/gallery"
-	"github.com/mudler/LocalAI/core/p2p"
-	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/internal"
 	"github.com/mudler/LocalAI/pkg/model"
 )
@@ -13,7 +11,7 @@ import (
 func WelcomeEndpoint(appConfig *config.ApplicationConfig,
 	cl *config.BackendConfigLoader, ml *model.ModelLoader, modelStatus func() (map[string]string, map[string]string)) func(*fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		models, _ := services.ListModels(cl, ml, "", true)
+		models, _ := ml.ListModels()
 		backendConfigs := cl.GetAllBackendConfigs()
 
 		galleryConfigs := map[string]*gallery.Config{}
@@ -29,21 +27,12 @@ func WelcomeEndpoint(appConfig *config.ApplicationConfig,
 		// Get model statuses to display in the UI the operation in progress
 		processingModels, taskTypes := modelStatus()
 
-		modelsWithoutConfig := []string{}
-
-		for _, m := range models {
-			if _, ok := galleryConfigs[m]; !ok {
-				modelsWithoutConfig = append(modelsWithoutConfig, m)
-			}
-		}
-
 		summary := fiber.Map{
 			"Title":             "LocalAI API - " + internal.PrintableVersion(),
 			"Version":           internal.PrintableVersion(),
-			"Models":            modelsWithoutConfig,
+			"Models":            models,
 			"ModelsConfig":      backendConfigs,
 			"GalleryConfig":     galleryConfigs,
-			"IsP2PEnabled":      p2p.IsP2PEnabled(),
 			"ApplicationConfig": appConfig,
 			"ProcessingModels":  processingModels,
 			"TaskTypes":         taskTypes,

core/http/endpoints/openai/assistant.go

@@ -11,8 +11,6 @@ import (
 
 	"github.com/gofiber/fiber/v2"
 	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/schema"
-	"github.com/mudler/LocalAI/core/services"
 	model "github.com/mudler/LocalAI/pkg/model"
 	"github.com/mudler/LocalAI/pkg/utils"
 	"github.com/rs/zerolog/log"
@@ -81,7 +79,7 @@ func CreateAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoad
 			return c.Status(fiber.StatusBadRequest).JSON(fiber.Map{"error": "Cannot parse JSON"})
 		}
 
-		if !modelExists(cl, ml, request.Model) {
+		if !modelExists(ml, request.Model) {
 			log.Warn().Msgf("Model: %s was not found in list of models.", request.Model)
 			return c.Status(fiber.StatusBadRequest).SendString("Model " + request.Model + " not found")
 		}
@@ -126,14 +124,6 @@ func generateRandomID() int64 {
 	return currentId
 }
 
-// ListAssistantsEndpoint is the OpenAI Assistant API endpoint to list assistents https://platform.openai.com/docs/api-reference/assistants/listAssistants
-// @Summary List available assistents
-// @Param limit query int false "Limit the number of assistants returned"
-// @Param order query string false "Order of assistants returned"
-// @Param after query string false "Return assistants created after the given ID"
-// @Param before query string false "Return assistants created before the given ID"
-// @Success 200 {object} []Assistant "Response"
-// @Router /v1/assistants [get]
 func ListAssistantsEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		// Because we're altering the existing assistants list we should just duplicate it for now.
@@ -223,9 +213,9 @@ func filterAssistantsAfterID(assistants []Assistant, id string) []Assistant {
 	return filteredAssistants
 }
 
-func modelExists(cl *config.BackendConfigLoader, ml *model.ModelLoader, modelName string) (found bool) {
+func modelExists(ml *model.ModelLoader, modelName string) (found bool) {
 	found = false
-	models, err := services.ListModels(cl, ml, "", true)
+	models, err := ml.ListModels()
 	if err != nil {
 		return
 	}
@@ -239,11 +229,13 @@ func modelExists(cl *config.BackendConfigLoader, ml *model.ModelLoader, modelNam
 	return
 }
 
-// DeleteAssistantEndpoint is the OpenAI Assistant API endpoint to delete assistents https://platform.openai.com/docs/api-reference/assistants/deleteAssistant
-// @Summary Delete assistents
-// @Success 200 {object} schema.DeleteAssistantResponse "Response"
-// @Router /v1/assistants/{assistant_id} [delete]
 func DeleteAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
+	type DeleteAssistantResponse struct {
+		ID      string `json:"id"`
+		Object  string `json:"object"`
+		Deleted bool   `json:"deleted"`
+	}
+
 	return func(c *fiber.Ctx) error {
 		assistantID := c.Params("assistant_id")
 		if assistantID == "" {
@@ -254,7 +246,7 @@ func DeleteAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoad
 			if assistant.ID == assistantID {
 				Assistants = append(Assistants[:i], Assistants[i+1:]...)
 				utils.SaveConfig(appConfig.ConfigsDir, AssistantsConfigFile, Assistants)
-				return c.Status(fiber.StatusOK).JSON(schema.DeleteAssistantResponse{
+				return c.Status(fiber.StatusOK).JSON(DeleteAssistantResponse{
 					ID:      assistantID,
 					Object:  "assistant.deleted",
 					Deleted: true,
@@ -263,7 +255,7 @@ func DeleteAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoad
 		}
 
 		log.Warn().Msgf("Unable to find assistant %s for deletion", assistantID)
-		return c.Status(fiber.StatusNotFound).JSON(schema.DeleteAssistantResponse{
+		return c.Status(fiber.StatusNotFound).JSON(DeleteAssistantResponse{
 			ID:      assistantID,
 			Object:  "assistant.deleted",
 			Deleted: false,
@@ -271,10 +263,6 @@ func DeleteAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoad
 	}
 }
 
-// GetAssistantEndpoint is the OpenAI Assistant API endpoint to get assistents https://platform.openai.com/docs/api-reference/assistants/getAssistant
-// @Summary Get assistent data
-// @Success 200 {object} Assistant "Response"
-// @Router /v1/assistants/{assistant_id} [get]
 func GetAssistantEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		assistantID := c.Params("assistant_id")
@@ -304,9 +292,19 @@ var (
 	AssistantsFileConfigFile = "assistantsFile.json"
 )
 
+type AssistantFileRequest struct {
+	FileID string `json:"file_id"`
+}
+
+type DeleteAssistantFileResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+}
+
 func CreateAssistantFileEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		request := new(schema.AssistantFileRequest)
+		request := new(AssistantFileRequest)
 		if err := c.BodyParser(request); err != nil {
 			return c.Status(fiber.StatusBadRequest).JSON(fiber.Map{"error": "Cannot parse JSON"})
 		}
@@ -347,7 +345,7 @@ func CreateAssistantFileEndpoint(cl *config.BackendConfigLoader, ml *model.Model
 
 func ListAssistantFilesEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	type ListAssistantFiles struct {
-		Data   []schema.File
+		Data   []File
 		Object string
 	}
 
@@ -465,7 +463,7 @@ func DeleteAssistantFileEndpoint(cl *config.BackendConfigLoader, ml *model.Model
 							// Remove the file from the assistantFiles slice
 							AssistantFiles = append(AssistantFiles[:i], AssistantFiles[i+1:]...)
 							utils.SaveConfig(appConfig.ConfigsDir, AssistantsFileConfigFile, AssistantFiles)
-							return c.Status(fiber.StatusOK).JSON(schema.DeleteAssistantFileResponse{
+							return c.Status(fiber.StatusOK).JSON(DeleteAssistantFileResponse{
 								ID:      fileId,
 								Object:  "assistant.file.deleted",
 								Deleted: true,
@@ -481,7 +479,7 @@ func DeleteAssistantFileEndpoint(cl *config.BackendConfigLoader, ml *model.Model
 						AssistantFiles = append(AssistantFiles[:i], AssistantFiles[i+1:]...)
 						utils.SaveConfig(appConfig.ConfigsDir, AssistantsFileConfigFile, AssistantFiles)
 
-						return c.Status(fiber.StatusNotFound).JSON(schema.DeleteAssistantFileResponse{
+						return c.Status(fiber.StatusNotFound).JSON(DeleteAssistantFileResponse{
 							ID:      fileId,
 							Object:  "assistant.file.deleted",
 							Deleted: true,
@@ -492,7 +490,7 @@ func DeleteAssistantFileEndpoint(cl *config.BackendConfigLoader, ml *model.Model
 		}
 		log.Warn().Msgf("Unable to find assistant: %s", assistantID)
 
-		return c.Status(fiber.StatusNotFound).JSON(schema.DeleteAssistantFileResponse{
+		return c.Status(fiber.StatusNotFound).JSON(DeleteAssistantFileResponse{
 			ID:      fileId,
 			Object:  "assistant.file.deleted",
 			Deleted: false,

core/http/endpoints/openai/assistant_test.go

@@ -14,7 +14,6 @@ import (
 
 	"github.com/gofiber/fiber/v2"
 	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/schema"
 	"github.com/mudler/LocalAI/pkg/model"
 	"github.com/stretchr/testify/assert"
 )
@@ -27,7 +26,7 @@ type MockLoader struct {
 
 func tearDown() func() {
 	return func() {
-		UploadedFiles = []schema.File{}
+		UploadedFiles = []File{}
 		Assistants = []Assistant{}
 		AssistantFiles = []AssistantFile{}
 		_ = os.Remove(filepath.Join(configsDir, AssistantsConfigFile))
@@ -295,7 +294,7 @@ func TestAssistantEndpoints(t *testing.T) {
 		file, assistant, err := createFileAndAssistant(t, app, appConfig)
 		assert.NoError(t, err)
 
-		afr := schema.AssistantFileRequest{FileID: file.ID}
+		afr := AssistantFileRequest{FileID: file.ID}
 		af, _, err := createAssistantFile(app, afr, assistant.ID)
 
 		assert.NoError(t, err)
@@ -306,7 +305,7 @@ func TestAssistantEndpoints(t *testing.T) {
 		file, assistant, err := createFileAndAssistant(t, app, appConfig)
 		assert.NoError(t, err)
 
-		afr := schema.AssistantFileRequest{FileID: file.ID}
+		afr := AssistantFileRequest{FileID: file.ID}
 		af, _, err := createAssistantFile(app, afr, assistant.ID)
 		assert.NoError(t, err)
 
@@ -317,7 +316,7 @@ func TestAssistantEndpoints(t *testing.T) {
 		file, assistant, err := createFileAndAssistant(t, app, appConfig)
 		assert.NoError(t, err)
 
-		afr := schema.AssistantFileRequest{FileID: file.ID}
+		afr := AssistantFileRequest{FileID: file.ID}
 		af, _, err := createAssistantFile(app, afr, assistant.ID)
 		assert.NoError(t, err)
 		t.Cleanup(cleanupAssistantFile(t, app, af.ID, af.AssistantID))
@@ -339,7 +338,7 @@ func TestAssistantEndpoints(t *testing.T) {
 		file, assistant, err := createFileAndAssistant(t, app, appConfig)
 		assert.NoError(t, err)
 
-		afr := schema.AssistantFileRequest{FileID: file.ID}
+		afr := AssistantFileRequest{FileID: file.ID}
 		af, _, err := createAssistantFile(app, afr, assistant.ID)
 		assert.NoError(t, err)
 
@@ -350,7 +349,7 @@ func TestAssistantEndpoints(t *testing.T) {
 
 }
 
-func createFileAndAssistant(t *testing.T, app *fiber.App, o *config.ApplicationConfig) (schema.File, Assistant, error) {
+func createFileAndAssistant(t *testing.T, app *fiber.App, o *config.ApplicationConfig) (File, Assistant, error) {
 	ar := &AssistantRequest{
 		Model:        "ggml-gpt4all-j",
 		Name:         "3.5-turbo",
@@ -363,7 +362,7 @@ func createFileAndAssistant(t *testing.T, app *fiber.App, o *config.ApplicationC
 
 	assistant, _, err := createAssistant(app, *ar)
 	if err != nil {
-		return schema.File{}, Assistant{}, err
+		return File{}, Assistant{}, err
 	}
 	t.Cleanup(cleanupAllAssistants(t, app, []string{assistant.ID}))
 
@@ -375,7 +374,7 @@ func createFileAndAssistant(t *testing.T, app *fiber.App, o *config.ApplicationC
 	return file, assistant, nil
 }
 
-func createAssistantFile(app *fiber.App, afr schema.AssistantFileRequest, assistantId string) (AssistantFile, *http.Response, error) {
+func createAssistantFile(app *fiber.App, afr AssistantFileRequest, assistantId string) (AssistantFile, *http.Response, error) {
 	afrJson, err := json.Marshal(afr)
 	if err != nil {
 		return AssistantFile{}, nil, err
@@ -452,7 +451,7 @@ func cleanupAssistantFile(t *testing.T, app *fiber.App, fileId, assistantId stri
 		resp, err := app.Test(request)
 		assert.NoError(t, err)
 
-		var dafr schema.DeleteAssistantFileResponse
+		var dafr DeleteAssistantFileResponse
 		err = json.NewDecoder(resp.Body).Decode(&dafr)
 		assert.NoError(t, err)
 		assert.True(t, dafr.Deleted)

core/http/endpoints/openai/chat.go

@@ -159,7 +159,7 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
 	}
 
 	return func(c *fiber.Ctx) error {
-		modelFile, input, err := readRequest(c, cl, ml, startupOptions, true)
+		modelFile, input, err := readRequest(c, ml, startupOptions, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -201,7 +201,7 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
 		}
 
 		switch {
-		case config.FunctionsConfig.GrammarConfig.EnableGrammar && shouldUseFn:
+		case !config.FunctionsConfig.GrammarConfig.NoGrammar && shouldUseFn:
 			noActionGrammar := functions.Function{
 				Name:        noActionName,
 				Description: noActionDescription,
@@ -225,10 +225,18 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
 			}
 
 			// Update input grammar
-			jsStruct := funcs.ToJSONStructure(config.FunctionsConfig.FunctionNameKey, config.FunctionsConfig.FunctionNameKey)
-			config.Grammar = jsStruct.Grammar(config.FunctionsConfig.GrammarConfig.Options()...)
+			// Handle if we should return "name" instead of "functions"
+			if config.FunctionsConfig.FunctionName {
+				jsStruct := funcs.ToJSONNameStructure()
+				config.Grammar = jsStruct.Grammar(config.FunctionsConfig.GrammarConfig.Options()...)
+			} else {
+				jsStruct := funcs.ToJSONFunctionStructure()
+				config.Grammar = jsStruct.Grammar(config.FunctionsConfig.GrammarConfig.Options()...)
+			}
 		case input.JSONFunctionGrammarObject != nil:
 			config.Grammar = input.JSONFunctionGrammarObject.Grammar(config.FunctionsConfig.GrammarConfig.Options()...)
+		case input.JSONFunctionGrammarObjectName != nil:
+			config.Grammar = input.JSONFunctionGrammarObjectName.Grammar(config.FunctionsConfig.GrammarConfig.Options()...)
 		default:
 			// Force picking one of the functions by the request
 			if config.FunctionToCall() != "" {

core/http/endpoints/openai/completion.go

@@ -57,7 +57,7 @@ func CompletionEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, a
 	}
 
 	return func(c *fiber.Ctx) error {
-		modelFile, input, err := readRequest(c, cl, ml, appConfig, true)
+		modelFile, input, err := readRequest(c, ml, appConfig, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

core/http/endpoints/openai/edit.go

@@ -16,14 +16,9 @@ import (
 	"github.com/rs/zerolog/log"
 )
 
-// EditEndpoint is the OpenAI edit API endpoint
-// @Summary OpenAI edit endpoint
-// @Param request body schema.OpenAIRequest true "query params"
-// @Success 200 {object} schema.OpenAIResponse "Response"
-// @Router /v1/edits [post]
 func EditEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		modelFile, input, err := readRequest(c, cl, ml, appConfig, true)
+		modelFile, input, err := readRequest(c, ml, appConfig, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

core/http/endpoints/openai/embeddings.go

@@ -23,7 +23,7 @@ import (
 // @Router /v1/embeddings [post]
 func EmbeddingsEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		model, input, err := readRequest(c, cl, ml, appConfig, true)
+		model, input, err := readRequest(c, ml, appConfig, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

core/http/endpoints/openai/files.go

@@ -9,16 +9,25 @@ import (
 	"time"
 
 	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/schema"
 
 	"github.com/gofiber/fiber/v2"
 	"github.com/mudler/LocalAI/pkg/utils"
 )
 
-var UploadedFiles []schema.File
+var UploadedFiles []File
 
 const UploadedFilesFile = "uploadedFiles.json"
 
+// File represents the structure of a file object from the OpenAI API.
+type File struct {
+	ID        string    `json:"id"`         // Unique identifier for the file
+	Object    string    `json:"object"`     // Type of the object (e.g., "file")
+	Bytes     int       `json:"bytes"`      // Size of the file in bytes
+	CreatedAt time.Time `json:"created_at"` // The time at which the file was created
+	Filename  string    `json:"filename"`   // The name of the file
+	Purpose   string    `json:"purpose"`    // The purpose of the file (e.g., "fine-tune", "classifications", etc.)
+}
+
 // UploadFilesEndpoint https://platform.openai.com/docs/api-reference/files/create
 func UploadFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
@@ -52,7 +61,7 @@ func UploadFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Appli
 			return c.Status(fiber.StatusInternalServerError).SendString("Failed to save file: " + err.Error())
 		}
 
-		f := schema.File{
+		f := File{
 			ID:        fmt.Sprintf("file-%d", getNextFileId()),
 			Object:    "file",
 			Bytes:     int(file.Size),
@@ -75,13 +84,14 @@ func getNextFileId() int64 {
 }
 
 // ListFilesEndpoint https://platform.openai.com/docs/api-reference/files/list
-// @Summary List files.
-// @Success 200 {object} schema.ListFiles "Response"
-// @Router /v1/files [get]
 func ListFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
+	type ListFiles struct {
+		Data   []File
+		Object string
+	}
 
 	return func(c *fiber.Ctx) error {
-		var listFiles schema.ListFiles
+		var listFiles ListFiles
 
 		purpose := c.Query("purpose")
 		if purpose == "" {
@@ -98,7 +108,7 @@ func ListFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Applica
 	}
 }
 
-func getFileFromRequest(c *fiber.Ctx) (*schema.File, error) {
+func getFileFromRequest(c *fiber.Ctx) (*File, error) {
 	id := c.Params("file_id")
 	if id == "" {
 		return nil, fmt.Errorf("file_id parameter is required")
@@ -113,10 +123,7 @@ func getFileFromRequest(c *fiber.Ctx) (*schema.File, error) {
 	return nil, fmt.Errorf("unable to find file id %s", id)
 }
 
-// GetFilesEndpoint is the OpenAI API endpoint to get files https://platform.openai.com/docs/api-reference/files/retrieve
-// @Summary Returns information about a specific file.
-// @Success 200 {object} schema.File "Response"
-// @Router /v1/files/{file_id} [get]
+// GetFilesEndpoint https://platform.openai.com/docs/api-reference/files/retrieve
 func GetFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		file, err := getFileFromRequest(c)
@@ -128,17 +135,13 @@ func GetFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Applicat
 	}
 }
 
-type DeleteStatus struct {
-	Id      string
-	Object  string
-	Deleted bool
-}
-
-// DeleteFilesEndpoint is the OpenAI API endpoint to delete files https://platform.openai.com/docs/api-reference/files/delete
-// @Summary Delete a file.
-// @Success 200 {object} DeleteStatus "Response"
-// @Router /v1/files/{file_id} [delete]
+// DeleteFilesEndpoint https://platform.openai.com/docs/api-reference/files/delete
 func DeleteFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
+	type DeleteStatus struct {
+		Id      string
+		Object  string
+		Deleted bool
+	}
 
 	return func(c *fiber.Ctx) error {
 		file, err := getFileFromRequest(c)
@@ -171,11 +174,7 @@ func DeleteFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Appli
 	}
 }
 
-// GetFilesContentsEndpoint is the OpenAI API endpoint to get files content https://platform.openai.com/docs/api-reference/files/retrieve-contents
-// @Summary Returns information about a specific file.
-// @Success	200		{string}	binary				"file"
-// @Router /v1/files/{file_id}/content [get]
-// GetFilesContentsEndpoint
+// GetFilesContentsEndpoint https://platform.openai.com/docs/api-reference/files/retrieve-contents
 func GetFilesContentsEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		file, err := getFileFromRequest(c)

core/http/endpoints/openai/files_test.go

@@ -14,7 +14,6 @@ import (
 	"github.com/rs/zerolog/log"
 
 	"github.com/mudler/LocalAI/core/config"
-	"github.com/mudler/LocalAI/core/schema"
 
 	"github.com/gofiber/fiber/v2"
 	utils2 "github.com/mudler/LocalAI/pkg/utils"
@@ -23,6 +22,11 @@ import (
 	"testing"
 )
 
+type ListFiles struct {
+	Data   []File
+	Object string
+}
+
 func startUpApp() (app *fiber.App, option *config.ApplicationConfig, loader *config.BackendConfigLoader) {
 	// Preparing the mocked objects
 	loader = &config.BackendConfigLoader{}
@@ -155,7 +159,7 @@ func TestUploadFileExceedSizeLimit(t *testing.T) {
 		resp, _ := app.Test(req)
 		assert.Equal(t, 200, resp.StatusCode)
 
-		var listFiles schema.ListFiles
+		var listFiles ListFiles
 		if err := json.Unmarshal(bodyToByteArray(resp, t), &listFiles); err != nil {
 			t.Errorf("Failed to decode response: %v", err)
 			return
@@ -197,7 +201,7 @@ func CallFilesUploadEndpoint(t *testing.T, app *fiber.App, fileName, tag, purpos
 	return app.Test(req)
 }
 
-func CallFilesUploadEndpointWithCleanup(t *testing.T, app *fiber.App, fileName, tag, purpose string, fileSize int, appConfig *config.ApplicationConfig) schema.File {
+func CallFilesUploadEndpointWithCleanup(t *testing.T, app *fiber.App, fileName, tag, purpose string, fileSize int, appConfig *config.ApplicationConfig) File {
 	// Create a file that exceeds the limit
 	testName := strings.Split(t.Name(), "/")[1]
 	file := createTestFile(t, testName+"-"+fileName, fileSize, appConfig)
@@ -276,8 +280,8 @@ func bodyToByteArray(resp *http.Response, t *testing.T) []byte {
 	return bodyBytes
 }
 
-func responseToFile(t *testing.T, resp *http.Response) schema.File {
-	var file schema.File
+func responseToFile(t *testing.T, resp *http.Response) File {
+	var file File
 	responseToString := bodyToString(resp, t)
 
 	err := json.NewDecoder(strings.NewReader(responseToString)).Decode(&file)
@@ -288,8 +292,8 @@ func responseToFile(t *testing.T, resp *http.Response) schema.File {
 	return file
 }
 
-func responseToListFile(t *testing.T, resp *http.Response) schema.ListFiles {
-	var listFiles schema.ListFiles
+func responseToListFile(t *testing.T, resp *http.Response) ListFiles {
+	var listFiles ListFiles
 	responseToString := bodyToString(resp, t)
 
 	err := json.NewDecoder(strings.NewReader(responseToString)).Decode(&listFiles)

core/http/endpoints/openai/image.go

@@ -66,7 +66,7 @@ func downloadFile(url string) (string, error) {
 // @Router /v1/images/generations [post]
 func ImageEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readRequest(c, cl, ml, appConfig, false)
+		m, input, err := readRequest(c, ml, appConfig, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

core/http/endpoints/openai/list.go

@@ -2,17 +2,11 @@ package openai
 
 import (
 	"github.com/gofiber/fiber/v2"
-	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/schema"
 	"github.com/mudler/LocalAI/core/services"
-	model "github.com/mudler/LocalAI/pkg/model"
 )
 
-// ListModelsEndpoint is the OpenAI Models API endpoint https://platform.openai.com/docs/api-reference/models
-// @Summary List and describe the various models available in the API.
-// @Success 200 {object} schema.ModelsDataResponse "Response"
-// @Router /v1/models [get]
-func ListModelsEndpoint(bcl *config.BackendConfigLoader, ml *model.ModelLoader) func(ctx *fiber.Ctx) error {
+func ListModelsEndpoint(lms *services.ListModelsService) func(ctx *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		// If blank, no filter is applied.
 		filter := c.Query("filter")
@@ -20,30 +14,16 @@ func ListModelsEndpoint(bcl *config.BackendConfigLoader, ml *model.ModelLoader)
 		// By default, exclude any loose files that are already referenced by a configuration file.
 		excludeConfigured := c.QueryBool("excludeConfigured", true)
 
-		dataModels, err := modelList(bcl, ml, filter, excludeConfigured)
+		dataModels, err := lms.ListModels(filter, excludeConfigured)
 		if err != nil {
 			return err
 		}
-		return c.JSON(schema.ModelsDataResponse{
+		return c.JSON(struct {
+			Object string               `json:"object"`
+			Data   []schema.OpenAIModel `json:"data"`
+		}{
 			Object: "list",
 			Data:   dataModels,
 		})
 	}
 }
-
-func modelList(bcl *config.BackendConfigLoader, ml *model.ModelLoader, filter string, excludeConfigured bool) ([]schema.OpenAIModel, error) {
-
-	models, err := services.ListModels(bcl, ml, filter, excludeConfigured)
-	if err != nil {
-		return nil, err
-	}
-
-	dataModels := []schema.OpenAIModel{}
-
-	// Then iterate through the loose files:
-	for _, m := range models {
-		dataModels = append(dataModels, schema.OpenAIModel{ID: m, Object: "model"})
-	}
-
-	return dataModels, nil
-}

core/http/endpoints/openai/request.go

@@ -15,7 +15,7 @@ import (
 	"github.com/rs/zerolog/log"
 )
 
-func readRequest(c *fiber.Ctx, cl *config.BackendConfigLoader, ml *model.ModelLoader, o *config.ApplicationConfig, firstModel bool) (string, *schema.OpenAIRequest, error) {
+func readRequest(c *fiber.Ctx, ml *model.ModelLoader, o *config.ApplicationConfig, firstModel bool) (string, *schema.OpenAIRequest, error) {
 	input := new(schema.OpenAIRequest)
 
 	// Get input data from the request body
@@ -31,7 +31,7 @@ func readRequest(c *fiber.Ctx, cl *config.BackendConfigLoader, ml *model.ModelLo
 
 	log.Debug().Msgf("Request received: %s", string(received))
 
-	modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.Model, firstModel)
+	modelFile, err := fiberContext.ModelFromContext(c, ml, input.Model, firstModel)
 
 	return modelFile, input, err
 }

core/http/endpoints/openai/transcription.go

@@ -25,7 +25,7 @@ import (
 // @Router /v1/audio/transcriptions [post]
 func TranscriptEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readRequest(c, cl, ml, appConfig, false)
+		m, input, err := readRequest(c, ml, appConfig, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

core/http/routes/localai.go

@@ -5,7 +5,6 @@ import (
 	"github.com/gofiber/swagger"
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/http/endpoints/localai"
-	"github.com/mudler/LocalAI/core/p2p"
 	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/internal"
 	"github.com/mudler/LocalAI/pkg/model"
@@ -57,12 +56,6 @@ func RegisterLocalAIRoutes(app *fiber.App,
 	app.Get("/backend/monitor", auth, localai.BackendMonitorEndpoint(backendMonitorService))
 	app.Post("/backend/shutdown", auth, localai.BackendShutdownEndpoint(backendMonitorService))
 
-	// p2p
-	if p2p.IsP2PEnabled() {
-		app.Get("/api/p2p", auth, localai.ShowP2PNodes)
-		app.Get("/api/p2p/token", auth, localai.ShowP2PToken(appConfig))
-	}
-
 	app.Get("/version", auth, func(c *fiber.Ctx) error {
 		return c.JSON(struct {
 			Version string `json:"version"`

core/http/routes/openai.go

@@ -5,6 +5,7 @@ import (
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/http/endpoints/localai"
 	"github.com/mudler/LocalAI/core/http/endpoints/openai"
+	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/pkg/model"
 )
 
@@ -80,7 +81,8 @@ func RegisterOpenAIRoutes(app *fiber.App,
 		app.Static("/generated-audio", appConfig.AudioDir)
 	}
 
-	// List models
-	app.Get("/v1/models", auth, openai.ListModelsEndpoint(cl, ml))
-	app.Get("/models", auth, openai.ListModelsEndpoint(cl, ml))
+	// models
+	tmpLMS := services.NewListModelsService(ml, cl, appConfig) // TODO: once createApplication() is fully in use, reference the central instance.
+	app.Get("/v1/models", auth, openai.ListModelsEndpoint(tmpLMS))
+	app.Get("/models", auth, openai.ListModelsEndpoint(tmpLMS))
 }

core/http/routes/ui.go

@@ -10,7 +10,6 @@ import (
 	"github.com/mudler/LocalAI/core/gallery"
 	"github.com/mudler/LocalAI/core/http/elements"
 	"github.com/mudler/LocalAI/core/http/endpoints/localai"
-	"github.com/mudler/LocalAI/core/p2p"
 	"github.com/mudler/LocalAI/core/services"
 	"github.com/mudler/LocalAI/internal"
 	"github.com/mudler/LocalAI/pkg/model"
@@ -27,6 +26,7 @@ func RegisterUIRoutes(app *fiber.App,
 	appConfig *config.ApplicationConfig,
 	galleryService *services.GalleryService,
 	auth func(*fiber.Ctx) error) {
+	tmpLMS := services.NewListModelsService(ml, cl, appConfig) // TODO: once createApplication() is fully in use, reference the central instance.
 
 	// keeps the state of models that are being installed from the UI
 	var processingModels = xsync.NewSyncedMap[string, string]()
@@ -53,37 +53,6 @@ func RegisterUIRoutes(app *fiber.App,
 
 	app.Get("/", auth, localai.WelcomeEndpoint(appConfig, cl, ml, modelStatus))
 
-	if p2p.IsP2PEnabled() {
-		app.Get("/p2p", auth, func(c *fiber.Ctx) error {
-			summary := fiber.Map{
-				"Title":   "LocalAI - P2P dashboard",
-				"Version": internal.PrintableVersion(),
-				//"Nodes":          p2p.GetAvailableNodes(""),
-				//"FederatedNodes": p2p.GetAvailableNodes(p2p.FederatedID),
-				"IsP2PEnabled": p2p.IsP2PEnabled(),
-				"P2PToken":     appConfig.P2PToken,
-			}
-
-			// Render index
-			return c.Render("views/p2p", summary)
-		})
-
-		/* show nodes live! */
-		app.Get("/p2p/ui/workers", auth, func(c *fiber.Ctx) error {
-			return c.SendString(elements.P2PNodeBoxes(p2p.GetAvailableNodes("")))
-		})
-		app.Get("/p2p/ui/workers-federation", auth, func(c *fiber.Ctx) error {
-			return c.SendString(elements.P2PNodeBoxes(p2p.GetAvailableNodes(p2p.FederatedID)))
-		})
-
-		app.Get("/p2p/ui/workers-stats", auth, func(c *fiber.Ctx) error {
-			return c.SendString(elements.P2PNodeStats(p2p.GetAvailableNodes("")))
-		})
-		app.Get("/p2p/ui/workers-federation-stats", auth, func(c *fiber.Ctx) error {
-			return c.SendString(elements.P2PNodeStats(p2p.GetAvailableNodes(p2p.FederatedID)))
-		})
-	}
-
 	// Show the Models page (all models)
 	app.Get("/browse", auth, func(c *fiber.Ctx) error {
 		term := c.Query("term")
@@ -118,9 +87,7 @@ func RegisterUIRoutes(app *fiber.App,
 			"AllTags":          tags,
 			"ProcessingModels": processingModelsData,
 			"AvailableModels":  len(models),
-			"IsP2PEnabled":     p2p.IsP2PEnabled(),
-
-			"TaskTypes": taskTypes,
+			"TaskTypes":        taskTypes,
 			//	"ApplicationConfig": appConfig,
 		}
 
@@ -269,14 +236,13 @@ func RegisterUIRoutes(app *fiber.App,
 
 	// Show the Chat page
 	app.Get("/chat/:model", auth, func(c *fiber.Ctx) error {
-		backendConfigs, _ := services.ListModels(cl, ml, "", true)
+		backendConfigs, _ := tmpLMS.ListModels("", true)
 
 		summary := fiber.Map{
 			"Title":        "LocalAI - Chat with " + c.Params("model"),
 			"ModelsConfig": backendConfigs,
 			"Model":        c.Params("model"),
 			"Version":      internal.PrintableVersion(),
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 		}
 
 		// Render index
@@ -284,7 +250,7 @@ func RegisterUIRoutes(app *fiber.App,
 	})
 
 	app.Get("/talk/", auth, func(c *fiber.Ctx) error {
-		backendConfigs, _ := services.ListModels(cl, ml, "", true)
+		backendConfigs, _ := tmpLMS.ListModels("", true)
 
 		if len(backendConfigs) == 0 {
 			// If no model is available redirect to the index which suggests how to install models
@@ -294,8 +260,7 @@ func RegisterUIRoutes(app *fiber.App,
 		summary := fiber.Map{
 			"Title":        "LocalAI - Talk",
 			"ModelsConfig": backendConfigs,
-			"Model":        backendConfigs[0],
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
+			"Model":        backendConfigs[0].ID,
 			"Version":      internal.PrintableVersion(),
 		}
 
@@ -305,7 +270,7 @@ func RegisterUIRoutes(app *fiber.App,
 
 	app.Get("/chat/", auth, func(c *fiber.Ctx) error {
 
-		backendConfigs, _ := services.ListModels(cl, ml, "", true)
+		backendConfigs, _ := tmpLMS.ListModels("", true)
 
 		if len(backendConfigs) == 0 {
 			// If no model is available redirect to the index which suggests how to install models
@@ -313,11 +278,10 @@ func RegisterUIRoutes(app *fiber.App,
 		}
 
 		summary := fiber.Map{
-			"Title":        "LocalAI - Chat with " + backendConfigs[0],
+			"Title":        "LocalAI - Chat with " + backendConfigs[0].ID,
 			"ModelsConfig": backendConfigs,
-			"Model":        backendConfigs[0],
+			"Model":        backendConfigs[0].ID,
 			"Version":      internal.PrintableVersion(),
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 		}
 
 		// Render index
@@ -332,7 +296,6 @@ func RegisterUIRoutes(app *fiber.App,
 			"ModelsConfig": backendConfigs,
 			"Model":        c.Params("model"),
 			"Version":      internal.PrintableVersion(),
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 		}
 
 		// Render index
@@ -353,7 +316,6 @@ func RegisterUIRoutes(app *fiber.App,
 			"ModelsConfig": backendConfigs,
 			"Model":        backendConfigs[0].Name,
 			"Version":      internal.PrintableVersion(),
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 		}
 
 		// Render index
@@ -368,7 +330,6 @@ func RegisterUIRoutes(app *fiber.App,
 			"ModelsConfig": backendConfigs,
 			"Model":        c.Params("model"),
 			"Version":      internal.PrintableVersion(),
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 		}
 
 		// Render index
@@ -388,7 +349,6 @@ func RegisterUIRoutes(app *fiber.App,
 			"Title":        "LocalAI - Generate audio with " + backendConfigs[0].Name,
 			"ModelsConfig": backendConfigs,
 			"Model":        backendConfigs[0].Name,
-			"IsP2PEnabled": p2p.IsP2PEnabled(),
 			"Version":      internal.PrintableVersion(),
 		}