manual merge, build testing starting from here

.devcontainer/Dockerfile

@@ -1,3 +0,0 @@
-ARG GO_VERSION=1.20
-FROM mcr.microsoft.com/devcontainers/go:0-$GO_VERSION-bullseye
-RUN apt-get update && apt-get install -y cmake

.devcontainer/devcontainer.json

@@ -1,46 +0,0 @@
-// For format details, see https://aka.ms/devcontainer.json. For config options, see the
-// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-docker-compose
-{
-	"name": "Existing Docker Compose (Extend)",
-
-	// Update the 'dockerComposeFile' list if you have more compose files or use different names.
-	// The .devcontainer/docker-compose.yml file contains any overrides you need/want to make.
-	"dockerComposeFile": [
-		"../docker-compose.yaml",
-		"docker-compose.yml"
-	],
-
-	// The 'service' property is the name of the service for the container that VS Code should
-	// use. Update this value and .devcontainer/docker-compose.yml to the real service name.
-	"service": "api",
-
-	// The optional 'workspaceFolder' property is the path VS Code should open by default when
-	// connected. This is typically a file mount in .devcontainer/docker-compose.yml
-	"workspaceFolder": "/workspace",
-
-	"features": {
-		"ghcr.io/devcontainers/features/go:1": {},
-		"ghcr.io/azutake/devcontainer-features/go-packages-install:0": {}
-	},
-
-	// Features to add to the dev container. More info: https://containers.dev/features.
-	// "features": {},
-
-	// Use 'forwardPorts' to make a list of ports inside the container available locally.
-	// "forwardPorts": [],
-
-	// Uncomment the next line if you want start specific services in your Docker Compose config.
-	// "runServices": [],
-
-	// Uncomment the next line if you want to keep your containers running after VS Code shuts down.
-	// "shutdownAction": "none",
-
-	// Uncomment the next line to run commands after the container is created.
-	"postCreateCommand": "make prepare"
-
-	// Configure tool-specific properties.
-	// "customizations": {},
-
-	// Uncomment to connect as an existing user other than the container default. More info: https://aka.ms/dev-containers-non-root.
-	// "remoteUser": "devcontainer"
-}

.devcontainer/docker-compose.yml

@@ -1,26 +0,0 @@
-version: '3.6'
-services:
-  # Update this to the name of the service you want to work with in your docker-compose.yml file
-  api:
-    # Uncomment if you want to override the service's Dockerfile to one in the .devcontainer 
-    # folder. Note that the path of the Dockerfile and context is relative to the *primary* 
-    # docker-compose.yml file (the first in the devcontainer.json "dockerComposeFile"
-    # array). The sample below assumes your primary file is in the root of your project.
-    #
-    build:
-      context: .
-      dockerfile: .devcontainer/Dockerfile
-
-    volumes:
-      # Update this to wherever you want VS Code to mount the folder of your project
-      - .:/workspace:cached
-
-    # Uncomment the next four lines if you will use a ptrace-based debugger like C++, Go, and Rust.
-    # cap_add:
-    #   - SYS_PTRACE
-    # security_opt:
-    #   - seccomp:unconfined
-
-    # Overrides default command so things don't shut down after the process ends.
-    command: /bin/sh -c "while sleep 1000; do :; done"
- 

.dockerignore

@@ -1,3 +1,5 @@
+.git
+.idea
 models
 examples/chatbot-ui/models
 examples/rwkv/models

.github/release.yml

@@ -0,0 +1,24 @@
+# .github/release.yml
+
+changelog:
+  exclude:
+    labels:
+      - ignore-for-release
+  categories:
+    - title: Breaking Changes 🛠
+      labels:
+        - Semver-Major
+        - breaking-change
+    - title: "Bug fixes :bug:"
+      labels:
+        - bug
+    - title: Exciting New Features 🎉
+      labels:
+        - Semver-Minor
+        - enhancement
+    - title: 👒 Dependencies
+      labels:
+        - dependencies
+    - title: Other Changes
+      labels:
+        - "*"

.github/workflows/bump_deps.yaml

@@ -12,8 +12,8 @@ jobs:
           - repository: "go-skynet/go-llama.cpp"
             variable: "GOLLAMA_VERSION"
             branch: "master"
-          - repository: "go-skynet/go-gpt2.cpp"
+          - repository: "go-skynet/go-ggml-transformers.cpp"
-            variable: "GOGPT2_VERSION"
+            variable: "GOGGMLTRANSFORMERS_VERSION"
             branch: "master"
           - repository: "donomii/go-rwkv.cpp"
             variable: "RWKV_VERSION"

.github/workflows/image.yml

@@ -15,34 +15,65 @@ concurrency:
 
 jobs:
   docker:
+    strategy:
+      matrix:
+        include:
+          - build-type: ''
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: ''
+            ffmpeg: ''
+          - build-type: 'cublas'
+            cuda-major-version: 11
+            cuda-minor-version: 7
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-cublas-cuda11'
+            ffmpeg: ''
+          - build-type: 'cublas'
+            cuda-major-version: 12
+            cuda-minor-version: 1
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-cublas-cuda12'
+            ffmpeg: ''
+          - build-type: ''
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'false'
+            tag-suffix: '-ffmpeg'
+            ffmpeg: 'true'
+          - build-type: 'cublas'
+            cuda-major-version: 11
+            cuda-minor-version: 7
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-cublas-cuda11-ffmpeg'
+            ffmpeg: 'true'
+          - build-type: 'cublas'
+            cuda-major-version: 12
+            cuda-minor-version: 1
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-cublas-cuda12-ffmpeg'
+            ffmpeg: 'true'
+
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
         uses: actions/checkout@v3
 
-      - name: Prepare
+      - name: Docker meta
-        id: prep
+        id: meta
-        run: |
+        uses: docker/metadata-action@v4
-          DOCKER_IMAGE=quay.io/go-skynet/local-ai
+        with:
-          VERSION=master
+          images: quay.io/go-skynet/local-ai
-          SHORTREF=${GITHUB_SHA::8}
+          tags: |
-
+            type=ref,event=branch
-          # If this is git tag, use the tag name as a docker tag
+            type=semver,pattern={{raw}}
-          if [[ $GITHUB_REF == refs/tags/* ]]; then
+            type=sha
-            VERSION=${GITHUB_REF#refs/tags/}
+          flavor: |
-          fi
+            latest=${{ matrix.tag-latest }}
-          TAGS="${DOCKER_IMAGE}:${VERSION},${DOCKER_IMAGE}:${SHORTREF}"
+            suffix=${{ matrix.tag-suffix }}
-
-          # If the VERSION looks like a version number, assume that
-          # this is the most recent version of the image and also
-          # tag it 'latest'.
-          if [[ $VERSION =~ ^v[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}$ ]]; then
-            TAGS="$TAGS,${DOCKER_IMAGE}:latest"
-          fi
-
-          # Set output parameters.
-          echo ::set-output name=tags::${TAGS}
-          echo ::set-output name=docker_image::${DOCKER_IMAGE}
 
       - name: Set up QEMU
         uses: docker/setup-qemu-action@master
@@ -60,23 +91,19 @@ jobs:
           registry: quay.io
           username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
           password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-      - name: Build
+
-        if: github.event_name != 'pull_request'
+      - name: Build and push
         uses: docker/build-push-action@v4
         with:
           builder: ${{ steps.buildx.outputs.name }}
+          build-args: |
+            BUILD_TYPE=${{ matrix.build-type }}
+            CUDA_MAJOR_VERSION=${{ matrix.cuda-major-version }}
+            CUDA_MINOR_VERSION=${{ matrix.cuda-minor-version }}
+            FFMPEG=${{ matrix.ffmpeg }}
           context: .
           file: ./Dockerfile
-          platforms: linux/amd64,linux/arm64
+          platforms: ${{ matrix.platforms }}
-          push: true
+          push: ${{ github.event_name != 'pull_request' }}
-          tags: ${{ steps.prep.outputs.tags }}
+          tags: ${{ steps.meta.outputs.tags }}
-      - name: Build PRs
+          labels: ${{ steps.meta.outputs.labels }}
-        if: github.event_name == 'pull_request'
-        uses: docker/build-push-action@v4
-        with:
-          builder: ${{ steps.buildx.outputs.name }}
-          context: .
-          file: ./Dockerfile
-          platforms: linux/amd64
-          push: false
-          tags: ${{ steps.prep.outputs.tags }}

.github/workflows/release.yaml

@@ -0,0 +1,84 @@
+name: Build and Release
+
+on: push
+
+permissions:
+  contents: write
+
+jobs:
+  build-linux:
+    strategy:
+      matrix:
+        include:
+          - build: 'avx2'
+            defines: ''
+          - build: 'avx'
+            defines: '-DLLAMA_AVX2=OFF'
+          - build: 'avx512'
+            defines: '-DLLAMA_AVX512=ON'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v3
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+      - name: Build
+        id: build
+        env:
+          CMAKE_ARGS: "${{ matrix.defines }}"
+          BUILD_ID: "${{ matrix.build }}"
+        run: |
+          STATIC=true make dist
+      - uses: actions/upload-artifact@v3
+        with:
+          name: ${{ matrix.build }}
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v1
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*
+
+  build-macOS:
+    strategy:
+      matrix:
+        include:
+          - build: 'avx2'
+            defines: ''
+          - build: 'avx'
+            defines: '-DLLAMA_AVX2=OFF'
+          - build: 'avx512'
+            defines: '-DLLAMA_AVX512=ON'
+    runs-on: macOS-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v3
+        with:
+          submodules: true
+
+      - name: Dependencies
+        run: |
+          brew update
+          brew install sdl2 ffmpeg
+      - name: Build
+        id: build
+        env:
+          CMAKE_ARGS: "${{ matrix.defines }}"
+          BUILD_ID: "${{ matrix.build }}"
+        run: |
+          make dist
+      - uses: actions/upload-artifact@v3
+        with:
+          name: ${{ matrix.build }}
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v1
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*

.github/workflows/release.yml.disabled

@@ -1,26 +0,0 @@
-name: goreleaser
-
-on:
-  push:
-    tags:
-      - 'v*'
-
-jobs:
-  goreleaser:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-      - name: Set up Go
-        uses: actions/setup-go@v3
-        with:
-          go-version: 1.18
-      - name: Run GoReleaser
-        uses: goreleaser/goreleaser-action@v4
-        with:
-          version: latest
-          args: release --clean
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -1,17 +1,13 @@
 # go-llama build artifacts
-bloomz
-go-bert
 go-llama
 gpt4all
 go-stable-diffusion
+go-ggml-transformers
 go-gpt2
 go-rwkv
 whisper.cpp
-
+bloomz
-# OpenAI OpenAPI Specs/Models
+go-bert
-openai-openapi/spec
-openai-openapi/transformed
-apiv2/localai.gen.go
 
 # LocalAI build binary
 LocalAI
@@ -22,6 +18,18 @@ local-ai
 # Ignore models
 models/*
 test-models/
+test-dir/
+
+release/
 
 # just in case
 .DS_Store
+.idea
+
+# OpenAI OpenAPI Specs/Models
+openai-openapi/spec
+openai-openapi/transformed
+apiv2/localai.gen.go
+
+# Generated during build
+backend-assets/

.goreleaser.yaml

@@ -1,15 +0,0 @@
-# Make sure to check the documentation at http://goreleaser.com
-project_name: local-ai
-builds:
-  - ldflags:
-      - -w -s
-    env:
-      - CGO_ENABLED=0
-    goos:
-      - linux
-      - darwin
-      - windows
-    goarch:
-      - amd64
-      - arm64
-    binary: '{{ .ProjectName }}'

.vscode/launch.json

@@ -25,7 +25,7 @@
             ],
             "env": {
                 "C_INCLUDE_PATH": "${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
-                "LIBRARY_PATH": "$${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
+                "LIBRARY_PATH": "${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
                 "DEBUG": "true"
             }
         }

Dockerfile

@@ -1,11 +1,101 @@
 ARG GO_VERSION=1.20
+
+FROM golang:$GO_VERSION as builder
+
 ARG BUILD_TYPE=
-FROM golang:$GO_VERSION
+ARG GO_TAGS=stablediffusion
+ARG CUDA_MAJOR_VERSION=11
+ARG CUDA_MINOR_VERSION=7
+
+ENV BUILD_TYPE=${BUILD_TYPE}
+ENV GO_TAGS=${GO_TAGS}
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
 ENV REBUILD=true
+
 WORKDIR /build
-RUN apt-get update && apt-get install -y cmake libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5 
+
+RUN apt-get update && \
+    apt-get install -y ca-certificates cmake curl
+
+# CuBLAS requirements
+RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
+    apt-get install -y software-properties-common && \
+    apt-add-repository contrib && \
+    curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
+    dpkg -i cuda-keyring_1.0-1_all.deb && \
+    rm -f cuda-keyring_1.0-1_all.deb && \
+    apt-get update && \
+    apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+    ; fi
+ENV PATH /usr/local/cuda/bin:${PATH}
+
+# OpenBLAS requirements
+RUN apt-get install -y libopenblas-dev
+
+# Stable Diffusion requirements
+RUN apt-get install -y libopencv-dev && \
+    ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
+
 COPY . .
-RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
 RUN make build
+
+FROM golang:$GO_VERSION
+
+ARG BUILD_TYPE=
+ARG GO_TAGS=stablediffusion
+ARG CUDA_MAJOR_VERSION=11
+ARG CUDA_MINOR_VERSION=7
+ARG FFMPEG=
+
+ENV BUILD_TYPE=${BUILD_TYPE}
+ENV GO_TAGS=${GO_TAGS}
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+
+ENV REBUILD=true
+
+WORKDIR /build
+
+RUN apt-get update && \
+    apt-get install -y ca-certificates cmake curl
+
+# CuBLAS requirements
+RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
+    apt-get install -y software-properties-common && \
+    apt-add-repository contrib && \
+    curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
+    dpkg -i cuda-keyring_1.0-1_all.deb && \
+    rm -f cuda-keyring_1.0-1_all.deb && \
+    apt-get update && \
+    apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+    ; fi
+
+# Add FFmpeg
+RUN if [ "${FFMPEG}" = "true" ]; then \
+    apt-get install -y ffmpeg \
+    ; fi
+
+ENV PATH /usr/local/cuda/bin:${PATH}
+
+# OpenBLAS requirements
+RUN apt-get install -y libopenblas-dev
+
+# Stable Diffusion requirements
+RUN apt-get install -y libopencv-dev && \
+    ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
+
+COPY . .
+RUN make prepare-sources
+COPY --from=builder /build/local-ai ./
+
+# Define the health check command
+HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
+  CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
+
 EXPOSE 8080
 ENTRYPOINT [ "/build/entrypoint.sh" ]

Dockerfile.dev

@@ -1,15 +0,0 @@
-ARG GO_VERSION=1.20
-ARG DEBIAN_VERSION=11
-ARG BUILD_TYPE=
-
-FROM golang:$GO_VERSION as builder
-WORKDIR /build
-RUN apt-get update && apt-get install -y cmake libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5 
-RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
-COPY . .
-RUN make build
-
-FROM debian:$DEBIAN_VERSION
-COPY --from=builder /build/local-ai /usr/bin/local-ai
-EXPOSE 8080
-ENTRYPOINT [ "/usr/bin/local-ai" ]

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 go-skynet authors
+Copyright (c) 2023 Ettore Di Giacinto
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

Makefile

@@ -3,33 +3,37 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-GOLLAMA_VERSION?=ccf23adfb278c0165d388389a5d60f3fe38e4854
+GOLLAMA_VERSION?=cca84ed55fb920ccdd6158958b2c9b773ce17eea
-GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
+GPT4ALL_REPO?=https://github.com/go-skynet/gpt4all
-GPT4ALL_VERSION?=914519e772fd78c15691dcd0b8bac60d6af514ec
+GPT4ALL_VERSION?=f7498c9
-GOGPT2_VERSION?=7bff56f0224502c1c9ed6258d2a17e8084628827
+GOGGMLTRANSFORMERS_VERSION?=6fb862c72bc04568120e711b176defe116d3751e
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
-RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
+RWKV_VERSION?=049c1b54798a0fb8429a0905060fa5e2d64255ca
-WHISPER_CPP_VERSION?=bc89f285d8b025867cae87421824f2dea1c8899f
+WHISPER_CPP_VERSION?=5b9e59bc07dd76320354f2af6be29f16dbcb21e7
-BERT_VERSION?=cea1ed76a7f48ef386a8e369f6c82c48cdf2d551
+BERT_VERSION?=0548994371f7081e45fcf8d472f3941a12f179aa
-BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
+BLOOMZ_VERSION?=1834e77b83faafe912ad4092ccf7f77937349e2f
 OPENAI_OPENAPI_REPO?=https://github.com/openai/openai-openapi.git
 OPENAI_OPENAPI_VERSION?=
-BUILD_TYPE?=
+
+export BUILD_TYPE?=
 CGO_LDFLAGS?=
 CUDA_LIBPATH?=/usr/local/cuda/lib64/
-STABLEDIFFUSION_VERSION?=c0748eca3642d58bcf9521108bcee46959c647dc
+STABLEDIFFUSION_VERSION?=d89260f598afb809279bc72aa0107b4292587632
 GO_TAGS?=
-
+BUILD_ID?=git
+LD_FLAGS=?=
 OPTIONAL_TARGETS?=
 
+OS := $(shell uname -s)
+ARCH := $(shell uname -m)
 GREEN  := $(shell tput -Txterm setaf 2)
 YELLOW := $(shell tput -Txterm setaf 3)
 WHITE  := $(shell tput -Txterm setaf 7)
 CYAN   := $(shell tput -Txterm setaf 6)
 RESET  := $(shell tput -Txterm sgr0)
 
-C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
+C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
-LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
+LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
 
 ifeq ($(BUILD_TYPE),openblas)
 	CGO_LDFLAGS+=-lopenblas
@@ -40,6 +44,20 @@ ifeq ($(BUILD_TYPE),cublas)
 	export LLAMA_CUBLAS=1
 endif
 
+ifeq ($(BUILD_TYPE),metal)
+	CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
+	export LLAMA_METAL=1
+endif
+
+ifeq ($(BUILD_TYPE),clblas)
+	CGO_LDFLAGS+=-lOpenCL -lclblast
+endif
+
+# glibc-static or glibc-devel-static required
+ifeq ($(STATIC),true)
+	LD_FLAGS=-linkmode external -extldflags -static
+endif
+
 ifeq ($(GO_TAGS),stablediffusion)
 	OPTIONAL_TARGETS+=go-stable-diffusion/libstablediffusion.a
 endif
@@ -48,6 +66,7 @@ endif
 
 all: help
 
+
 ## OpenAI OpenAPI (For Model CodeGen)
 openai-openapi/spec:
 	git clone $(OPENAI_OPENAPI_REPO) ./openai-openapi/spec
@@ -65,27 +84,25 @@ apiv2/localai.gen.go: prepare-sources
 	echo "YTT Done, generating code..."
 	$(GOCMD) run github.com/deepmap/oapi-codegen/cmd/oapi-codegen --config=./openai-openapi/config.yaml ./openai-openapi/transformed/localai.yaml
 
+
 ## GPT4ALL
 gpt4all:
 	git clone --recurse-submodules $(GPT4ALL_REPO) gpt4all
 	cd gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
 	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/llama_/llama_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/llama_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/llama_gpt4all_/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
+	@find ./gpt4all/gpt4all-backend -type f -name "llama_util.h" -execdir mv {} "llama_gpt4all_util.h" \;
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.cmake" -exec sed -i'' -e 's/llama_util/llama_gpt4all_util/g' {} +
-	@find ./gpt4all -type f -name "*.go" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.txt" -exec sed -i'' -e 's/llama_util/llama_gpt4all_util/g' {} +
-	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all/gpt4all-bindings/golang -type f -name "*.cpp" -exec sed -i'' -e 's/load_model/load_gpt4all_model/g' {} +
-	@find ./gpt4all -type f -name "*.txt" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all/gpt4all-bindings/golang -type f -name "*.go" -exec sed -i'' -e 's/load_model/load_gpt4all_model/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
+	@find ./gpt4all/gpt4all-bindings/golang -type f -name "*.h" -exec sed -i'' -e 's/load_model/load_gpt4all_model/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
+
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
-	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/regex_escape/gpt4allregex_escape/g' {} +
-	mv ./gpt4all/gpt4all-backend/llama.cpp/llama_util.h ./gpt4all/gpt4all-backend/llama.cpp/gptjllama_util.h
 
 ## BERT embeddings
 go-bert:
@@ -112,7 +129,7 @@ go-rwkv:
 	@find ./go-rwkv -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
 
 go-rwkv/librwkv.a: go-rwkv
-	cd go-rwkv && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a .. && cp ggml/src/libggml.a ..
+	cd go-rwkv && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a ..
 
 ## bloomz
 bloomz:
@@ -122,6 +139,8 @@ bloomz:
 	@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
 	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
 	@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_bloomz_replace/g' {} +
+	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_bloomz_replace/g' {} +
 
 bloomz/libbloomz.a: bloomz
 	cd bloomz && make libbloomz.a
@@ -129,27 +148,33 @@ bloomz/libbloomz.a: bloomz
 go-bert/libgobert.a: go-bert
 	$(MAKE) -C go-bert libgobert.a
 
+backend-assets/gpt4all: gpt4all/gpt4all-bindings/golang/libgpt4all.a
+	mkdir -p backend-assets/gpt4all
+	@cp gpt4all/gpt4all-bindings/golang/buildllm/*.so backend-assets/gpt4all/ || true
+	@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
+	@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
+
 gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
 	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
 
 ## CEREBRAS GPT
-go-gpt2: 
+go-ggml-transformers: 
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
+	git clone --recurse-submodules https://github.com/go-skynet/go-ggml-transformers.cpp go-ggml-transformers
-	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
+	cd go-ggml-transformers && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
 	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
 
-go-gpt2/libgpt2.a: go-gpt2
+go-ggml-transformers/libtransformers.a: go-ggml-transformers
-	$(MAKE) -C go-gpt2 libgpt2.a
+	$(MAKE) -C go-ggml-transformers libtransformers.a
 
 whisper.cpp:
 	git clone https://github.com/ggerganov/whisper.cpp.git
@@ -171,21 +196,21 @@ go-llama/libbinding.a: go-llama
 replace:
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
 	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-ggml-transformers.cpp=$(shell pwd)/go-ggml-transformers
 	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
 	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(shell pwd)/whisper.cpp
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(shell pwd)/go-bert
 	$(GOCMD) mod edit -replace github.com/go-skynet/bloomz.cpp=$(shell pwd)/bloomz
 	$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(shell pwd)/go-stable-diffusion
 
-prepare-sources: openai-openapi/transformed go-llama go-gpt2 gpt4all go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion replace
+prepare-sources: openai-openapi/transformed go-llama go-ggml-transformers gpt4all go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion replace
 	$(GOCMD) mod download
 
 ## GENERIC
 rebuild: ## Rebuilds the project
 	$(MAKE) -C go-llama clean
 	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
-	$(MAKE) -C go-gpt2 clean
+	$(MAKE) -C go-ggml-transformers clean
 	$(MAKE) -C go-rwkv clean
 	$(MAKE) -C whisper.cpp clean
 	$(MAKE) -C go-stable-diffusion clean
@@ -193,21 +218,24 @@ rebuild: ## Rebuilds the project
 	$(MAKE) -C bloomz clean
 	$(MAKE) build
 
-prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a $(OPTIONAL_TARGETS) go-llama/libbinding.a go-bert/libgobert.a go-gpt2/libgpt2.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a apiv2/localai.gen.go ## Prepares for building
+prepare: prepare-sources backend-assets/gpt4all $(OPTIONAL_TARGETS) go-llama/libbinding.a go-bert/libgobert.a go-ggml-transformers/libtransformers.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a apiv2/localai.gen.go ## Prepares for building
 
 clean: ## Remove build related file
 	rm -rf ./openai-openapi/spec
 	rm -rf ./openai-openapi/transformed
 	rm -f ./apiv2/localai.gen.go
-	rm -rf ./go-llama
+	rm -fr ./go-llama
 	rm -rf ./gpt4all
-	rm -rf ./go-stable-diffusion
 	rm -rf ./go-gpt2
+	rm -rf ./go-stable-diffusion
+	rm -rf ./go-ggml-transformers
+	rm -rf ./backend-assets
 	rm -rf ./go-rwkv
 	rm -rf ./go-bert
 	rm -rf ./bloomz
 	rm -rf ./whisper.cpp
 	rm -rf $(BINARY_NAME)
+	rm -rf release/
 
 ## Build:
 
@@ -215,29 +243,35 @@ build: prepare ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
 	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -tags "$(GO_TAGS)" -x -o $(BINARY_NAME) ./
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
+
+dist: build
+	mkdir -p release
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH)
 
 generic-build: ## Build the project using generic
 	BUILD_TYPE="generic" $(MAKE) build
 
 ## Run
 run: prepare ## run local-ai
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./
 
 test-models/testmodel:
 	mkdir test-models
 	mkdir test-dir
-	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
+	wget https://huggingface.co/nnakasato/ggml-model-test/resolve/main/ggml-model-q4.bin -O test-models/testmodel
 	wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
 	wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
 	wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
-	wget https://huggingface.co/imxcstar/rwkv-4-raven-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096-16_Q4_2.bin -O test-models/rwkv
+	wget https://huggingface.co/mudler/rwkv-4-raven-1.5B-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%2525-Other1%2525-20230425-ctx4096_Q4_0.bin -O test-models/rwkv
 	wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
 	cp tests/models_fixtures/* test-models
 
 test: prepare test-models/testmodel
+	cp -r backend-assets api
 	cp tests/models_fixtures/* test-models
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./api ./pkg
+	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all" --flake-attempts 5 -v -r ./api ./pkg
+	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="gpt4all" --flake-attempts 5 -v -r ./api ./pkg
 
 ## Help:
 help: ## Show this help.

README.md

@@ -9,62 +9,32 @@
 
 [![](https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted)](https://discord.gg/uJAeKSAGDy) 
 
-**LocalAI** is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run models locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format.
+**LocalAI** is a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format. Does not require GPU.
 
-For a list of the supported model families, please see [the model compatibility table below](https://github.com/go-skynet/LocalAI#model-compatibility-table).
+For a list of the supported model families, please see [the model compatibility table](https://localai.io/model-compatibility/index.html#model-compatibility-table).
 
 In a nutshell:
 
 - Local, OpenAI drop-in alternative REST API. You own your data.
-- NO GPU required. NO Internet access is required either. Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. [See building instructions](https://github.com/go-skynet/LocalAI#cublas).
+- NO GPU required. NO Internet access is required either. Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. [See building instructions](https://localai.io/basics/build/index.html).
 - Supports multiple models, Audio transcription, Text generation with GPTs, Image generation with stable diffusion (experimental)
 - Once loaded the first time, it keep models loaded in memory for faster inference
 - Doesn't shell-out, but uses C++ bindings for a faster inference and better performance. 
 
-LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
+LocalAI was created by [Ettore Di Giacinto](https://github.com/mudler/) and is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome!
 
-See the [usage](https://github.com/go-skynet/LocalAI#usage) and [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) sections to learn how to use LocalAI.
+| [ChatGPT OSS alternative](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui)                                                                                                                | [Image generation](https://localai.io/api-endpoints/index.html#image-generation)                                                                                                              |
+|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
+|  ![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)            | ![b6441997879](https://github.com/go-skynet/LocalAI/assets/2420543/d50af51c-51b7-4f39-b6c2-bf04c403894c)                  |
 
-### How does it work?  
 
-<details>
+See the [Getting started](https://localai.io/basics/getting_started/index.html) and [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) sections to learn how to use LocalAI. For a list of curated models check out the [model gallery](https://localai.io/models/).
-
-LocalAI is an API written in Go that serves as an OpenAI shim, enabling software already developed with OpenAI SDKs to seamlessly integrate with LocalAI. It can be effortlessly implemented as a substitute, even on consumer-grade hardware. This capability is achieved by employing various C++ backends, including [ggml](https://github.com/ggerganov/ggml), to perform inference on LLMs using both CPU and, if desired, GPU.
-
-LocalAI uses C++ bindings for optimizing speed. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp), [ggml](https://github.com/ggerganov/ggml), [whisper.cpp](https://github.com/ggerganov/whisper.cpp) for audio transcriptions, [bert.cpp](https://github.com/skeskinen/bert.cpp) for embedding and [StableDiffusion-NCN](https://github.com/EdVince/Stable-Diffusion-NCNN) for image generation. See [the model compatibility table](https://github.com/go-skynet/LocalAI#model-compatibility-table) to learn about all the components of LocalAI.
-
-![LocalAI](https://github.com/go-skynet/LocalAI/assets/2420543/38de3a9b-3866-48cd-9234-662f9571064a)
-
-</details>
 
 ## News
 
-- 19-05-2023: __v1.13.0__ released! 🔥🔥 updates to the `gpt4all` and `llama` backend, consolidated CUDA support ( https://github.com/go-skynet/LocalAI/pull/310 thanks to @bubthegreat and @Thireus ), preliminar support for [installing models via API](https://github.com/go-skynet/LocalAI#advanced-prepare-models-using-the-api).
+- 29-05-2023: LocalAI now has a website, [https://localai.io](https://localai.io)! check the news in the [dedicated section](https://localai.io/basics/news/index.html)!
-- 17-05-2023:  __v1.12.0__ released! 🔥🔥 Minor fixes, plus CUDA (https://github.com/go-skynet/LocalAI/pull/258) support for `llama.cpp`-compatible models and image generation (https://github.com/go-skynet/LocalAI/pull/272).
-- 16-05-2023: 🔥🔥🔥 Experimental support for CUDA (https://github.com/go-skynet/LocalAI/pull/258) in the `llama.cpp` backend and Stable diffusion CPU image generation (https://github.com/go-skynet/LocalAI/pull/272) in `master`.
 
-Now LocalAI can generate images too:
+For latest news, follow also on Twitter [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
-
-| mode=0                                                                                                                | mode=1 (winograd/sgemm)                                                                                                                |
-|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
-| ![b6441997879](https://github.com/go-skynet/LocalAI/assets/2420543/d50af51c-51b7-4f39-b6c2-bf04c403894c)              | ![winograd2](https://github.com/go-skynet/LocalAI/assets/2420543/1935a69a-ecce-4afc-a099-1ac28cb649b3)                |
-
-- 14-05-2023: __v1.11.1__ released! `rwkv` backend patch release
-- 13-05-2023: __v1.11.0__ released! 🔥 Updated `llama.cpp` bindings: This update includes a breaking change in the model files ( https://github.com/ggerganov/llama.cpp/pull/1405 ) - old models should still work with the `gpt4all-llama` backend.
-- 12-05-2023: __v1.10.0__ released! 🔥🔥 Updated `gpt4all` bindings. Added support for GPTNeox (experimental), RedPajama (experimental), Starcoder (experimental), Replit (experimental), MosaicML MPT. Also now `embeddings` endpoint supports tokens arrays. See the [langchain-chroma](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma) example! Note - this update does NOT include https://github.com/ggerganov/llama.cpp/pull/1405 which makes models incompatible.
-- 11-05-2023: __v1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
-- 10-05-2023: __v1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
-- 09-05-2023: Added experimental support for transcriptions endpoint ( https://github.com/go-skynet/LocalAI/pull/211 )
-- 08-05-2023: Support for embeddings with models using the `llama.cpp` backend ( https://github.com/go-skynet/LocalAI/pull/207 )
-- 02-05-2023: Support for `rwkv.cpp` models ( https://github.com/go-skynet/LocalAI/pull/158 ) and for `/edits` endpoint
-- 01-05-2023: Support for SSE stream of tokens in `llama.cpp` backends ( https://github.com/go-skynet/LocalAI/pull/152 )
-
-Twitter: [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
-
-### Blogs and articles
-
-- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/) by Ettore Di Giacinto
-- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters. by Tyller Gillson
 
 ## Contribute and help
 
@@ -78,75 +48,11 @@ To help the project you can:
 
 - If you don't have technological skills you can still help improving documentation or add examples or share your user-stories with our community, any help and contribution is welcome!
 
-## Model compatibility
-
-It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) supports also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all) and [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml).
-
-Tested with:
-- Vicuna
-- Alpaca
-- [GPT4ALL](https://gpt4all.io)
-- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
-- Koala
-- [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
-- WizardLM
-- [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
-
-Note: You might need to convert some models from older models to the new format, for indications, see [the README in llama.cpp](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
-
-### RWKV
-
-<details>
-
-A full example on how to run a rwkv model is in the [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv).
-
-Note: rwkv models needs to specify the backend `rwkv` in the YAML config files and have an associated tokenizer along that needs to be provided with it:
-
-```
-36464540 -rw-r--r--  1 mudler mudler 1.2G May  3 10:51 rwkv_small
-36464543 -rw-r--r--  1 mudler mudler 2.4M May  3 10:51 rwkv_small.tokenizer.json
-```
-
-</details>
-
-### Others
-
-It should also be compatible with StableLM and GPTNeoX ggml models (untested).
-
-### Hardware requirements
-
-Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
-
-
-### Model compatibility table
-
-<details>
-
-| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Audio transcription/Image | Embeddings support                | Token stream support |
-|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|
-| [llama](https://github.com/ggerganov/llama.cpp) ([binding](https://github.com/go-skynet/go-llama.cpp))         | Vicuna, Alpaca, LLaMa | yes                      | no                        | yes (doesn't seem to be accurate) | yes                  |
-| [gpt4all-llama](https://github.com/nomic-ai/gpt4all)      | Vicuna, Alpaca, LLaMa | yes                      | no                        | no                                | yes                  |
-| [gpt4all-mpt](https://github.com/nomic-ai/gpt4all)          | MPT                   | yes                      | no                        | no                                | yes                  |
-| [gpt4all-j](https://github.com/nomic-ai/gpt4all)           | GPT4ALL-J             | yes                      | no                        | no                                | yes                  |
-| [gpt2](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))             | GPT/NeoX, Cerebras    | yes                      | no                        | no                                | no                   |
-| [dolly](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))            | Dolly                 | yes                      | no                        | no                                | no                   |
-| [redpajama](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))        | RedPajama             | yes                      | no                        | no                                | no                   |
-| [stableLM](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))         | StableLM GPT/NeoX     | yes                      | no                        | no                                | no                   |
-| [replit](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))        | Replit             | yes                      | no                        | no                                | no                   |
-| [gptneox](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))        | GPT NeoX             | yes                      | no                        | no                                | no                   |
-| [starcoder](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-gpt2.cpp))        | Starcoder             | yes                      | no                        | no                                | no                   |
-| [bloomz](https://github.com/NouamaneTazi/bloomz.cpp) ([binding](https://github.com/go-skynet/bloomz.cpp))       | Bloom                 | yes                      | no                        | no                                | no                   |
-| [rwkv](https://github.com/saharNooby/rwkv.cpp) ([binding](https://github.com/donomii/go-rw))       | rwkv                 | yes                      | no                        | no                                | yes                   |
-| [bert](https://github.com/skeskinen/bert.cpp) ([binding](https://github.com/go-skynet/go-bert.cpp) | bert                  | no                       | no                  | yes                               | no                   |    
-| [whisper](https://github.com/ggerganov/whisper.cpp)         | whisper               | no                       | Audio                 | no                                | no                   |  
-| [stablediffusion](https://github.com/EdVince/Stable-Diffusion-NCNN) ([binding](https://github.com/mudler/go-stable-diffusion))        | stablediffusion               | no                       | Image                 | no                                | no                   | 
-</details>
-
 ## Usage
 
-> `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
+Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section. Here below you will find generic, quick instructions to get ready and use LocalAI.
 
-The easiest way to run LocalAI is by using `docker-compose` (to build locally, see [building LocalAI](https://github.com/go-skynet/LocalAI/tree/master#setup)):
+The easiest way to run LocalAI is by using `docker-compose` (to build locally, see [building LocalAI](https://localai.io/basics/build/index.html)):
 
 ```bash
 
@@ -219,277 +125,6 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 ```
 </details>
 
-### Advanced: prepare models using the API
-
-Instead of installing models manually, you can use the LocalAI API endpoints and a model definition to install programmatically via API models in runtime.
-
-<details>
-
-A curated collection of model files is in the [model-gallery](https://github.com/go-skynet/model-gallery) (work in progress!).
-
-To install for example `gpt4all-j`, you can send a POST call to the `/models/apply` endpoint with the model definition url (`url`) and the name of the model should have in LocalAI (`name`, optional):
-
-```
-curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{
-     "url": "https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml",
-     "name": "gpt4all-j"
-   }'  
-```
-
-</details>
-
-
-### Other examples
-
-![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
-
-To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
-
-
-### Advanced configuration
-
-LocalAI can be configured to serve user-defined models with a set of default parameters and templates.
-
-<details>
-
-You can create multiple `yaml` files in the models path or either specify a single YAML configuration file. 
-Consider the following `models` folder in the `example/chatbot-ui`:
-
-```
-base ❯ ls -liah examples/chatbot-ui/models 
-36487587 drwxr-xr-x 2 mudler mudler 4.0K May  3 12:27 .
-36487586 drwxr-xr-x 3 mudler mudler 4.0K May  3 10:42 ..
-36465214 -rw-r--r-- 1 mudler mudler   10 Apr 27 07:46 completion.tmpl
-36464855 -rw-r--r-- 1 mudler mudler 3.6G Apr 27 00:08 ggml-gpt4all-j
-36464537 -rw-r--r-- 1 mudler mudler  245 May  3 10:42 gpt-3.5-turbo.yaml
-36467388 -rw-r--r-- 1 mudler mudler  180 Apr 27 07:46 gpt4all.tmpl
-```
-
-In the `gpt-3.5-turbo.yaml` file it is defined the `gpt-3.5-turbo` model which is an alias to use `gpt4all-j` with pre-defined options.
-
-For instance, consider the following that declares `gpt-3.5-turbo` backed by the `ggml-gpt4all-j` model:
-
-```yaml
-name: gpt-3.5-turbo
-# Default model parameters
-parameters:
-  # Relative to the models path
-  model: ggml-gpt4all-j
-  # temperature
-  temperature: 0.3
-  # all the OpenAI request options here..
-
-# Default context size
-context_size: 512
-threads: 10
-# Define a backend (optional). By default it will try to guess the backend the first time the model is interacted with.
-backend: gptj # available: llama, stablelm, gpt2, gptj rwkv
-# stopwords (if supported by the backend)
-stopwords:
-- "HUMAN:"
-- "### Response:"
-# define chat roles
-roles:
-  user: "HUMAN:"
-  system: "GPT:"
-template:
-  # template file ".tmpl" with the prompt template to use by default on the endpoint call. Note there is no extension in the files
-  completion: completion
-  chat: ggml-gpt4all-j
-```
-
-Specifying a `config-file` via CLI allows to declare models in a single file as a list, for instance:
-
-```yaml
-- name: list1
-  parameters:
-    model: testmodel
-  context_size: 512
-  threads: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-    chat: ggml-gpt4all-j
-- name: list2
-  parameters:
-    model: testmodel
-  context_size: 512
-  threads: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-   chat: ggml-gpt4all-j
-```
-
-See also [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) as an example on how to use config files.
-
-### Full config model file reference
-
-```yaml
-name: gpt-3.5-turbo
-
-# Default model parameters
-parameters:
-  # Relative to the models path
-  model: ggml-gpt4all-j
-  # temperature
-  temperature: 0.3
-  # all the OpenAI request options here..
-  top_k: 
-  top_p: 
-  max_tokens:
-  batch:
-  f16: true
-  ignore_eos: true
-  n_keep: 10
-  seed: 
-  mode: 
-  step: 
-
-# Default context size
-context_size: 512
-# Default number of threads
-threads: 10
-# Define a backend (optional). By default it will try to guess the backend the first time the model is interacted with.
-backend: gptj # available: llama, stablelm, gpt2, gptj rwkv
-# stopwords (if supported by the backend)
-stopwords:
-- "HUMAN:"
-- "### Response:"
-# string to trim space to
-trimspace:
-- string
-# Strings to cut from the response
-cutstrings:
-- "string"
-# define chat roles
-roles:
-  user: "HUMAN:"
-  system: "GPT:"
-  assistant: "ASSISTANT:"
-template:
-  # template file ".tmpl" with the prompt template to use by default on the endpoint call. Note there is no extension in the files
-  completion: completion
-  chat: ggml-gpt4all-j
-  edit: edit_template
-
-# Enable F16 if backend supports it
-f16: true
-# Enable debugging
-debug: true
-# Enable embeddings
-embeddings: true
-# Mirostat configuration (llama.cpp only)
-mirostat_eta: 0.8
-mirostat_tau: 0.9
-mirostat: 1
-
-# GPU Layers (only used when built with cublas)
-gpu_layers: 22
-
-# Directory used to store additional assets (used for stablediffusion)
-asset_dir: ""
-```
-</details>
-
-### Prompt templates 
-
-The API doesn't inject a default prompt for talking to the model. You have to use a prompt similar to what's described in the standford-alpaca docs: https://github.com/tatsu-lab/stanford_alpaca#data-release.
-
-<details>
-You can use a default template for every model present in your model path, by creating a corresponding file with the `.tmpl` suffix next to your model. For instance, if the model is called `foo.bin`, you can create a sibling file, `foo.bin.tmpl` which will be used as a default prompt and can be used with alpaca:
-
-```
-The below instruction describes a task. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Input}}
-
-### Response:
-```
-
-See the [prompt-templates](https://github.com/go-skynet/LocalAI/tree/master/prompt-templates) directory in this repository for templates for some of the most popular models.
-
-
-For the edit endpoint, an example template for alpaca-based models can be:
-
-```yaml
-Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Instruction}}
-
-### Input:
-{{.Input}}
-
-### Response:
-```
-
-</details>
-
-### CLI
-
-You can control LocalAI with command line arguments, to specify a binding address, or the number of threads.
-
-<details>
-
-Usage:
-
-```
-local-ai --models-path <model_path> [--address <address>] [--threads <num_threads>]
-```
-
-| Parameter    | Environment Variable | Default Value | Description                            |
-| ------------ | -------------------- | ------------- | -------------------------------------- |
-| models-path        | MODELS_PATH           |               | The path where you have models (ending with `.bin`).      |
-| threads      | THREADS              | Number of Physical cores     | The number of threads to use for text generation. |
-| address      | ADDRESS              | :8080         | The address and port to listen on. |
-| context-size | CONTEXT_SIZE         | 512           | Default token context size. |
-| debug | DEBUG         | false           | Enable debug mode. |
-| config-file | CONFIG_FILE         | empty           | Path to a LocalAI config file. |
-| upload_limit | UPLOAD_LIMIT         | 5MB           | Upload limit for whisper. |
-| image-path | IMAGE_PATH         | empty           | Image directory to store and serve processed images. |
-
-</details>
-
-## Setup
-
-Currently LocalAI comes as a container image and can be used with docker or a container engine of choice. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
-
-### Docker
-
-<details>
-Example of starting the API with `docker`:
-
-```bash
-docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:latest --models-path /path/to/models --context-size 700 --threads 4
-```
-
-You should see:
-```
-┌───────────────────────────────────────────────────┐ 
-│                   Fiber v2.42.0                   │ 
-│               http://127.0.0.1:8080               │ 
-│       (bound on host 0.0.0.0 and port 8080)       │ 
-│                                                   │ 
-│ Handlers ............. 1  Processes ........... 1 │ 
-│ Prefork ....... Disabled  PID ................. 1 │ 
-└───────────────────────────────────────────────────┘ 
-```
-
-Note: the binary inside the image is rebuild at the start of the container to enable CPU optimizations for the execution environment, you can set the environment variable `REBUILD` to `false` to prevent this behavior.
-
-</details>
 
 ### Build locally
 
@@ -499,8 +134,8 @@ In order to build the `LocalAI` container image locally you can use `docker`:
 
 ```
 # build the image
-docker build -t LocalAI .
+docker build -t localai .
-docker run LocalAI
+docker run localai
 ```
 
 Or you can build the binary with `make`:
@@ -511,498 +146,19 @@ make build
 
 </details>
 
-### Build on mac
+See the [build section](https://localai.io/basics/build/index.html) in our documentation for detailed instructions.
-
-Building on Mac (M1 or M2) works, but you may need to install some prerequisites using `brew`. 
-
-<details>
-
-The below has been tested by one mac user and found to work. Note that this doesn't use docker to run the server:
-
-```
-# install build dependencies
-brew install cmake
-brew install go
-
-# clone the repo
-git clone https://github.com/go-skynet/LocalAI.git
-
-cd LocalAI
-
-# build the binary
-make build
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# Use a template from the examples
-cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
-
-# Run LocalAI
-./local-ai --models-path ./models/ --debug
-
-# Now API is accessible at localhost:8080
-curl http://localhost:8080/v1/models
-
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-gpt4all-j",
-     "messages": [{"role": "user", "content": "How are you?"}],
-     "temperature": 0.9 
-   }'
-```
-
-</details>
-
-### Build with Image generation support
-
-<details>
-
-**Requirements**: OpenCV, Gomp
-
-Image generation is experimental and requires `GO_TAGS=stablediffusion` to be set during build:
-
-```
-make GO_TAGS=stablediffusion rebuild
-```
-
-</details>
-
-### Accelleration
-
-#### OpenBLAS
-
-<details>
-
-Requirements: OpenBLAS
-
-```
-make BUILD_TYPE=openblas build
-```
-
-</details>
-
-#### CuBLAS
-
-<details>
-
-Requirement: Nvidia CUDA toolkit
-
-Note: CuBLAS support is experimental, and has not been tested on real HW. please report any issues you find!
-
-```
-make BUILD_TYPE=cublas build
-```
-
-More informations available in the upstream PR: https://github.com/ggerganov/llama.cpp/pull/1412
-
-</details>
-
-### Windows compatibility
-
-It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
 
 ### Run LocalAI in Kubernetes
 
-LocalAI can be installed inside Kubernetes with helm.
+LocalAI can be installed inside Kubernetes with helm. See [installation instructions](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes).
 
-<details>
+## Supported API endpoints
 
-1. Add the helm repo
+See the [list of the supported API endpoints](https://localai.io/api-endpoints/index.html) and how to configure image generation and audio transcription.
-    ```bash
-    helm repo add go-skynet https://go-skynet.github.io/helm-charts/
-    ```
-1. Create a values files with your settings:
-```bash
-cat <<EOF > values.yaml
-deployment:
-  image: quay.io/go-skynet/local-ai:latest
-  env:
-    threads: 4
-    contextSize: 1024
-    modelsPath: "/models"
-# Optionally create a PVC, mount the PV to the LocalAI Deployment,
-# and download a model to prepopulate the models directory
-modelsVolume:
-  enabled: true
-  url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
-  pvc:
-    size: 6Gi
-    accessModes:
-    - ReadWriteOnce
-  auth:
-    # Optional value for HTTP basic access authentication header
-    basic: "" # 'username:password' base64 encoded
-service:
-  type: ClusterIP
-  annotations: {}
-  # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
-  # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
-EOF
-```
-3. Install the helm chart:
-```bash
-helm repo update
-helm install local-ai go-skynet/local-ai -f values.yaml
-```
-
-Check out also the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
-
-</details>
-
-## Supported OpenAI API endpoints
-
-You can check out the [OpenAI API reference](https://platform.openai.com/docs/api-reference/chat/create). 
-
-Following the list of endpoints/parameters supported. 
-
-Note:
-
-- You can also specify the model as part of the OpenAI token.
-- If only one model is available, the API will use it for all the requests.
-
-### Chat completions
-
-<details>
-For example, to generate a chat completion, you can send a POST request to the `/v1/chat/completions` endpoint with the instruction as the request body:
-
-```
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "messages": [{"role": "user", "content": "Say this is a test!"}],
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`
-</details>
-
-### Edit completions
-
-<details>
-To generate an edit completion you can send a POST request to the `/v1/edits` endpoint with the instruction as the request body:
-
-```
-curl http://localhost:8080/v1/edits -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "instruction": "rephrase",
-     "input": "Black cat jumped out of the window",
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`.
-
-</details>
-
-### Completions
-
-<details>
-
-To generate a completion, you can send a POST request to the `/v1/completions` endpoint with the instruction as per the request body:
-
-```
-curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "prompt": "A long time ago in a galaxy far, far away",
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`
-
-</details>
-
-### List models
-
-<details>
-You can list all the models available with:
-
-```
-curl http://localhost:8080/v1/models
-```
-
-</details>
-
-### Embeddings
-
-OpenAI docs: https://platform.openai.com/docs/api-reference/embeddings
-
-<details>
-
-The embedding endpoint is experimental and enabled only if the model is configured with `embeddings: true` in its `yaml` file, for example:
-
-```yaml
-name: text-embedding-ada-002
-parameters:
-  model: bert
-embeddings: true
-backend: "bert-embeddings"
-```
-
-There is an example available [here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/).
-
-Note: embeddings is supported only with `llama.cpp` compatible models and `bert` models. bert is more performant and available independently of the LLM model.
-
-</details>
-
-### Transcriptions endpoint
-
-<details>
-
-Note: requires ffmpeg in the container image, which is currently not shipped due to licensing issues. We will prepare separated images with ffmpeg. (stay tuned!)
-
-Download one of the models from https://huggingface.co/ggerganov/whisper.cpp/tree/main in the `models` folder, and create a YAML file for your model:
-
-```yaml
-name: whisper-1
-backend: whisper
-parameters:
-  model: whisper-en
-```
-
-The transcriptions endpoint then can be tested like so:
-```
-wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
-
-curl http://localhost:8080/v1/audio/transcriptions -H "Content-Type: multipart/form-data" -F file="@$PWD/gb1.ogg" -F model="whisper-1"                                                     
-
-{"text":"My fellow Americans, this day has brought terrible news and great sadness to our country.At nine o'clock this morning, Mission Control in Houston lost contact with our Space ShuttleColumbia.A short time later, debris was seen falling from the skies above Texas.The Columbia's lost.There are no survivors.One board was a crew of seven.Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark, Captain DavidBrown, Commander William McCool, Dr. Kultna Shavla, and Elon Ramon, a colonel in the IsraeliAir Force.These men and women assumed great risk in the service to all humanity.In an age when spaceflight has come to seem almost routine, it is easy to overlook thedangers of travel by rocket and the difficulties of navigating the fierce outer atmosphere ofthe Earth.These astronauts knew the dangers, and they faced them willingly, knowing they had a highand noble purpose in life.Because of their courage and daring and idealism, we will miss them all the more.All Americans today are thinking as well of the families of these men and women who havebeen given this sudden shock and grief.You're not alone.Our entire nation agrees with you, and those you loved will always have the respect andgratitude of this country.The cause in which they died will continue.Mankind has led into the darkness beyond our world by the inspiration of discovery andthe longing to understand.Our journey into space will go on.In the skies today, we saw destruction and tragedy.As farther than we can see, there is comfort and hope.In the words of the prophet Isaiah, \"Lift your eyes and look to the heavens who createdall these, he who brings out the starry hosts one by one and calls them each by name.\"Because of his great power and mighty strength, not one of them is missing.The same creator who names the stars also knows the names of the seven souls we mourntoday.The crew of the shuttle Columbia did not return safely to Earth yet we can pray that all aresafely home.May God bless the grieving families and may God continue to bless America.[BLANK_AUDIO]"}
-```
-
-</details>
-  
-### Image generation
-
-OpenAI docs: https://platform.openai.com/docs/api-reference/images/create
-
-LocalAI supports generating images with Stable diffusion, running on CPU.
-
-| mode=0                                                                                                                | mode=1 (winograd/sgemm)                                                                                                                |
-|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
-| ![test](https://github.com/go-skynet/LocalAI/assets/2420543/7145bdee-4134-45bb-84d4-f11cb08a5638)                      | ![b643343452981](https://github.com/go-skynet/LocalAI/assets/2420543/abf14de1-4f50-4715-aaa4-411d703a942a)          |
-| ![b6441997879](https://github.com/go-skynet/LocalAI/assets/2420543/d50af51c-51b7-4f39-b6c2-bf04c403894c)              | ![winograd2](https://github.com/go-skynet/LocalAI/assets/2420543/1935a69a-ecce-4afc-a099-1ac28cb649b3)                |
-| ![winograd](https://github.com/go-skynet/LocalAI/assets/2420543/1979a8c4-a70d-4602-95ed-642f382f6c6a)                | ![winograd3](https://github.com/go-skynet/LocalAI/assets/2420543/e6d184d4-5002-408f-b564-163986e1bdfb)                |
-
-<details>
-
-To generate an image you can send a POST request to the `/v1/images/generations` endpoint with the instruction as the request body:
-
-```bash
-# 512x512 is supported too
-curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
-            "prompt": "A cute baby sea otter",
-            "size": "256x256" 
-          }'
-```
-
-Available additional parameters: `mode`, `step`.
-
-Note: To set a negative prompt, you can split the prompt with `|`, for instance: `a cute baby sea otter|malformed`.
-
-```bash
-curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
-            "prompt": "floating hair, portrait, ((loli)), ((one girl)), cute face, hidden hands, asymmetrical bangs, beautiful detailed eyes, eye shadow, hair ornament, ribbons, bowties, buttons, pleated skirt, (((masterpiece))), ((best quality)), colorful|((part of the head)), ((((mutated hands and fingers)))), deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, Octane renderer, lowres, bad anatomy, bad hands, text",
-            "size": "256x256"
-          }'
-```
-
-Note: image generator supports images up to 512x512. You can use other tools however to upscale the image, for instance: https://github.com/upscayl/upscayl.
-
-#### Setup
-
-Note: In order to use the `images/generation` endpoint, you need to build LocalAI with `GO_TAGS=stablediffusion`.
-
-1. Create a model file `stablediffusion.yaml` in the models folder:
-
-```yaml
-name: stablediffusion
-backend: stablediffusion
-asset_dir: stablediffusion_assets
-```
-2. Create a `stablediffusion_assets` directory inside your `models` directory
-3. Download the ncnn assets from https://github.com/EdVince/Stable-Diffusion-NCNN#out-of-box and place them in `stablediffusion_assets`.
-
-The models directory should look like the following:
-
-```
-models
-├── stablediffusion_assets
-│   ├── AutoencoderKL-256-256-fp16-opt.param
-│   ├── AutoencoderKL-512-512-fp16-opt.param
-│   ├── AutoencoderKL-base-fp16.param
-│   ├── AutoencoderKL-encoder-512-512-fp16.bin
-│   ├── AutoencoderKL-fp16.bin
-│   ├── FrozenCLIPEmbedder-fp16.bin
-│   ├── FrozenCLIPEmbedder-fp16.param
-│   ├── log_sigmas.bin
-│   ├── tmp-AutoencoderKL-encoder-256-256-fp16.param
-│   ├── UNetModel-256-256-MHA-fp16-opt.param
-│   ├── UNetModel-512-512-MHA-fp16-opt.param
-│   ├── UNetModel-base-MHA-fp16.param
-│   ├── UNetModel-MHA-fp16.bin
-│   └── vocab.txt
-└── stablediffusion.yaml
-```
-
-</details>
-
-## LocalAI API endpoints
-
-Besides the OpenAI endpoints, there are additional LocalAI-only API endpoints.
-
-### Applying a model - `/models/apply`
-
-This endpoint can be used to install a model in runtime. 
-
-<details>
-
-LocalAI will create a batch process that downloads the required files from a model definition and automatically reload itself to include the new model. 
-
-Input: `url`, `name` (optional), `files` (optional)
-
-```bash
-curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{
-     "url": "<MODEL_DEFINITION_URL>",
-     "name": "<MODEL_NAME>",
-     "files": [
-        {
-            "uri": "<additional_file>",
-            "sha256": "<additional_file_hash>",
-            "name": "<additional_file_name>"
-        },
-      "overrides": { "backend": "...", "f16": true }
-     ]
-   }
-```
-
-An optional, list of additional files can be specified to be downloaded within `files`. The `name` allows to override the model name. Finally it is possible to override the model config file with `override`.
-
-Returns an `uuid` and an `url` to follow up the state of the process:
-
-```json
-{ "uuid":"251475c9-f666-11ed-95e0-9a8a4480ac58", "status":"http://localhost:8080/models/jobs/251475c9-f666-11ed-95e0-9a8a4480ac58"}
-```
-
-To see a collection example of curated models definition files, see the [model-gallery](https://github.com/go-skynet/model-gallery).
-
-</details>
-
-### Inquiry model job state `/models/jobs/<uid>`
-
-This endpoint returns the state of the batch job associated to a model
-<details>
-
-This endpoint can be used with the uuid returned by `/models/apply` to check a job state:
-
-```bash
-curl http://localhost:8080/models/jobs/251475c9-f666-11ed-95e0-9a8a4480ac58
-```
-
-Returns a json containing the error, and if the job is being processed:
-
-```json
-{"error":null,"processed":true,"message":"completed"}
-```
-
-</details>
-
-## Clients
-
-OpenAI clients are already compatible with LocalAI by overriding the basePath, or the target URL.
-
-## Javascript
-
-<details> 
-
-https://github.com/openai/openai-node/
-
-```javascript
-import { Configuration, OpenAIApi } from 'openai';
-
-const configuration = new Configuration({
-  basePath: `http://localhost:8080/v1`
-});
-const openai = new OpenAIApi(configuration);
-```
-
-</details>
-
-## Python
-
-<details>
-
-https://github.com/openai/openai-python
-
-Set the `OPENAI_API_BASE` environment variable, or by code:
-
-```python
-import openai
-
-openai.api_base = "http://localhost:8080/v1"
-
-# create a chat completion
-chat_completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])
-
-# print the completion
-print(completion.choices[0].message.content)
-```
-
-</details>
 
 ## Frequently asked questions
 
-Here are answers to some of the most common questions.
+See [the FAQ](https://localai.io/faq/index.html) section for a list of common questions.
-
-
-### How do I get models? 
-
-<details>
-
-Most ggml-based models should work, but newer models may require additions to the API. If a model doesn't work, please feel free to open up issues. However, be cautious about downloading models from the internet and directly onto your machine, as there may be security vulnerabilities in lama.cpp or ggml that could be maliciously exploited. Some models can be found on Hugging Face: https://huggingface.co/models?search=ggml, or models from gpt4all should also work: https://github.com/nomic-ai/gpt4all.
-
-</details>
-
-### What's the difference with Serge, or XXX?
-
-
-<details>
-
-LocalAI is a multi-model solution that doesn't focus on a specific model type (e.g., llama.cpp or alpaca.cpp), and it handles all of these internally for faster inference,  easy to set up locally and deploy to Kubernetes.
-
-</details>
-
-
-### Can I use it with a Discord bot, or XXX?
-
-<details>
-
-Yes! If the client uses OpenAI and supports setting a different base URL to send requests to, you can use the LocalAI endpoint. This allows to use this with every application that was supposed to work with OpenAI, but without changing the application!
-
-</details>
-
-
-### Can this leverage GPUs? 
-
-<details>
-
-There is partial GPU support, see build instructions above.
-
-</details>
-
-### Where is the webUI? 
-
-<details> 
-There is the availability of localai-webui and chatbot-ui in the examples section and can be setup as per the instructions. However as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)
-
-</details>
-
-### Does it work with AutoGPT? 
-
-<details>
-
-AutoGPT currently doesn't allow to set a different API URL, but there is a PR open for it, so this should be possible soon!
-
-</details>
 
 ## Projects already using LocalAI to run local models
 
@@ -1011,11 +167,9 @@ Feel free to open up a PR to get your project listed!
 - [Kairos](https://github.com/kairos-io/kairos)
 - [k8sgpt](https://github.com/k8sgpt-ai/k8sgpt#running-local-models)
 - [Spark](https://github.com/cedriking/spark)
-
+- [autogpt4all](https://github.com/aorumbayev/autogpt4all)
-## Blog posts and other articles
+- [Mods](https://github.com/charmbracelet/mods)
-
+- [Flowise](https://github.com/FlowiseAI/Flowise)
-- https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65
-- https://kairos.io/docs/examples/localai/
 
 ## Short-term roadmap
 
@@ -1036,17 +190,13 @@ Feel free to open up a PR to get your project listed!
 
 ## License
 
-LocalAI is a community-driven project. It was initially created by [Ettore Di Giacinto](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
+LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
 
 MIT
 
-## Golang bindings used
+## Author
 
-- [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp)
+Ettore Di Giacinto and others
-- [go-skynet/go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp)
-- [go-skynet/go-gpt2.cpp](https://github.com/go-skynet/go-gpt2.cpp)
-- [go-skynet/go-bert.cpp](https://github.com/go-skynet/go-bert.cpp)
-- [donomii/go-rwkv.cpp](https://github.com/donomii/go-rwkv.cpp)
 
 ## Acknowledgements
 

api/api.go

@@ -1,10 +1,8 @@
 package api
 
 import (
-	"context"
 	"errors"
 
-	model "github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
 	"github.com/gofiber/fiber/v2/middleware/cors"
 	"github.com/gofiber/fiber/v2/middleware/logger"
@@ -13,16 +11,18 @@ import (
 	"github.com/rs/zerolog/log"
 )
 
-func App(c context.Context, configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
+func App(opts ...AppOption) (*fiber.App, error) {
+	options := newOptions(opts...)
+
 	zerolog.SetGlobalLevel(zerolog.InfoLevel)
-	if debug {
+	if options.debug {
 		zerolog.SetGlobalLevel(zerolog.DebugLevel)
 	}
 
 	// Return errors as JSON responses
 	app := fiber.New(fiber.Config{
-		BodyLimit:             uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
+		BodyLimit:             options.uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
-		DisableStartupMessage: disableMessage,
+		DisableStartupMessage: options.disableMessage,
 		// Override default error handler
 		ErrorHandler: func(ctx *fiber.Ctx, err error) error {
 			// Status code defaults to 500
@@ -43,71 +43,107 @@ func App(c context.Context, configFile string, loader *model.ModelLoader, upload
 		},
 	})
 
-	if debug {
+	if options.debug {
 		app.Use(logger.New(logger.Config{
 			Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
 		}))
 	}
 
 	cm := NewConfigMerger()
-	if err := cm.LoadConfigs(loader.ModelPath); err != nil {
+	if err := cm.LoadConfigs(options.loader.ModelPath); err != nil {
 		log.Error().Msgf("error loading config files: %s", err.Error())
 	}
 
-	if configFile != "" {
+	if options.configFile != "" {
-		if err := cm.LoadConfigFile(configFile); err != nil {
+		if err := cm.LoadConfigFile(options.configFile); err != nil {
 			log.Error().Msgf("error loading config file: %s", err.Error())
 		}
 	}
 
-	if debug {
+	if options.debug {
 		for _, v := range cm.ListConfigs() {
 			cfg, _ := cm.GetConfig(v)
 			log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
 		}
 	}
+
+	if options.assetsDestination != "" {
+		if err := PrepareBackendAssets(options.backendAssets, options.assetsDestination); err != nil {
+			log.Warn().Msgf("Failed extracting backend assets files: %s (might be required for some backends to work properly, like gpt4all)", err)
+		}
+	}
+
 	// Default middleware config
 	app.Use(recover.New())
+
+	if options.preloadJSONModels != "" {
+		if err := ApplyGalleryFromString(options.loader.ModelPath, options.preloadJSONModels, cm); err != nil {
+			return nil, err
+		}
+	}
+
+	if options.preloadModelsFromPath != "" {
+		if err := ApplyGalleryFromFile(options.loader.ModelPath, options.preloadModelsFromPath, cm); err != nil {
+			return nil, err
+		}
+	}
+
+	if options.cors {
+		if options.corsAllowOrigins == "" {
 			app.Use(cors.New())
+		} else {
+			app.Use(cors.New(cors.Config{
+				AllowOrigins: options.corsAllowOrigins,
+			}))
+		}
+	}
 
 	// LocalAI API endpoints
-	applier := newGalleryApplier(loader.ModelPath)
+	applier := newGalleryApplier(options.loader.ModelPath)
-	applier.start(c, cm)
+	applier.start(options.context, cm)
-	app.Post("/models/apply", applyModelGallery(loader.ModelPath, cm, applier.C))
+	app.Post("/models/apply", applyModelGallery(options.loader.ModelPath, cm, applier.C))
 	app.Get("/models/jobs/:uuid", getOpStatus(applier))
 
 	// openAI compatible API endpoint
 
 	// chat
-	app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/chat/completions", chatEndpoint(cm, options))
-	app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/chat/completions", chatEndpoint(cm, options))
 
 	// edit
-	app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/edits", editEndpoint(cm, options))
-	app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/edits", editEndpoint(cm, options))
 
 	// completion
-	app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/completions", completionEndpoint(cm, options))
-	app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/completions", completionEndpoint(cm, options))
 
 	// embeddings
-	app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/embeddings", embeddingsEndpoint(cm, options))
-	app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/embeddings", embeddingsEndpoint(cm, options))
-	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, options))
 
 	// audio
-	app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, options))
 
 	// images
-	app.Post("/v1/images/generations", imageEndpoint(cm, debug, loader, imageDir))
+	app.Post("/v1/images/generations", imageEndpoint(cm, options))
 
-	if imageDir != "" {
+	if options.imageDir != "" {
-		app.Static("/generated-images", imageDir)
+		app.Static("/generated-images", options.imageDir)
 	}
 
+	ok := func(c *fiber.Ctx) error {
+		return c.SendStatus(200)
+	}
+
+	// Kubernetes health checks
+	app.Get("/healthz", ok)
+	app.Get("/readyz", ok)
+
 	// models
-	app.Get("/v1/models", listModels(loader, cm))
+	app.Get("/v1/models", listModels(options.loader, cm))
-	app.Get("/models", listModels(loader, cm))
+	app.Get("/models", listModels(options.loader, cm))
 
-	return app
+	return app, nil
 }

api/api_test.go

@@ -3,6 +3,7 @@ package api_test
 import (
 	"bytes"
 	"context"
+	"embed"
 	"encoding/json"
 	"fmt"
 	"io/ioutil"
@@ -95,6 +96,9 @@ func postModelApplyRequest(url string, request modelApplyRequest) (response map[
 	return
 }
 
+//go:embed backend-assets/*
+var backendAssets embed.FS
+
 var _ = Describe("API test", func() {
 
 	var app *fiber.App
@@ -114,7 +118,8 @@ var _ = Describe("API test", func() {
 			modelLoader = model.NewModelLoader(tmpdir)
 			c, cancel = context.WithCancel(context.Background())
 
-			app = App(c, "", modelLoader, 15, 1, 512, false, true, true, "")
+			app, err = App(WithContext(c), WithModelLoader(modelLoader), WithBackendAssets(backendAssets), WithBackendAssetsOutput(tmpdir))
+			Expect(err).ToNot(HaveOccurred())
 			go app.Listen("127.0.0.1:9090")
 
 			defaultConfig := openai.DefaultConfig("")
@@ -190,6 +195,32 @@ var _ = Describe("API test", func() {
 				Expect(err).ToNot(HaveOccurred())
 				Expect(content["backend"]).To(Equal("bert-embeddings"))
 			})
+			It("runs gpt4all", Label("gpt4all"), func() {
+				if runtime.GOOS != "linux" {
+					Skip("test supported only on linux")
+				}
+
+				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
+					URL:       "github:go-skynet/model-gallery/gpt4all-j.yaml",
+					Name:      "gpt4all-j",
+					Overrides: map[string]string{},
+				})
+
+				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
+
+				uuid := response["uuid"].(string)
+
+				Eventually(func() bool {
+					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
+					fmt.Println(response)
+					return response["processed"].(bool)
+				}, "360s").Should(Equal(true))
+
+				resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-j", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "How are you?"}}})
+				Expect(err).ToNot(HaveOccurred())
+				Expect(len(resp.Choices)).To(Equal(1))
+				Expect(resp.Choices[0].Message.Content).To(ContainSubstring("well"))
+			})
 		})
 	})
 
@@ -198,7 +229,9 @@ var _ = Describe("API test", func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
 			c, cancel = context.WithCancel(context.Background())
 
-			app = App(c, "", modelLoader, 15, 1, 512, false, true, true, "")
+			var err error
+			app, err = App(WithContext(c), WithModelLoader(modelLoader))
+			Expect(err).ToNot(HaveOccurred())
 			go app.Listen("127.0.0.1:9090")
 
 			defaultConfig := openai.DefaultConfig("")
@@ -254,7 +287,7 @@ var _ = Describe("API test", func() {
 		It("returns errors", func() {
 			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
 			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
+			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 10 errors occurred:"))
 		})
 		It("transcribes audio", func() {
 			if runtime.GOOS != "linux" {
@@ -316,7 +349,9 @@ var _ = Describe("API test", func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
 			c, cancel = context.WithCancel(context.Background())
 
-			app = App(c, os.Getenv("CONFIG_FILE"), modelLoader, 5, 1, 512, false, true, true, "")
+			var err error
+			app, err = App(WithContext(c), WithModelLoader(modelLoader), WithConfigFile(os.Getenv("CONFIG_FILE")))
+			Expect(err).ToNot(HaveOccurred())
 			go app.Listen("127.0.0.1:9090")
 
 			defaultConfig := openai.DefaultConfig("")

api/backend_assets.go

@@ -0,0 +1,27 @@
+package api
+
+import (
+	"embed"
+	"os"
+	"path/filepath"
+
+	"github.com/go-skynet/LocalAI/pkg/assets"
+	"github.com/rs/zerolog/log"
+)
+
+func PrepareBackendAssets(backendAssets embed.FS, dst string) error {
+
+	// Extract files from the embedded FS
+	err := assets.ExtractFiles(backendAssets, dst)
+	if err != nil {
+		return err
+	}
+
+	// Set GPT4ALL libs where we extracted the files
+	// https://github.com/nomic-ai/gpt4all/commit/27e80e1d10985490c9fd4214e4bf458cfcf70896
+	gpt4alldir := filepath.Join(dst, "backend-assets", "gpt4all")
+	os.Setenv("GPT4ALL_IMPLEMENTATIONS_PATH", gpt4alldir)
+	log.Debug().Msgf("GPT4ALL_IMPLEMENTATIONS_PATH: %s", gpt4alldir)
+
+	return nil
+}

api/config.go

@@ -3,7 +3,7 @@ package api
 import (
 	"encoding/json"
 	"fmt"
-	"io/ioutil"
+	"io/fs"
 	"os"
 	"path/filepath"
 	"strings"
@@ -34,6 +34,10 @@ type Config struct {
 	Mirostat              int               `yaml:"mirostat"`
 	NGPULayers            int               `yaml:"gpu_layers"`
 	ImageGenerationAssets string            `yaml:"asset_dir"`
+
+	PromptCachePath string `yaml:"prompt_cache_path"`
+	PromptCacheAll  bool   `yaml:"prompt_cache_all"`
+
 	PromptStrings, InputStrings []string
 	InputToken                  [][]int
 }
@@ -126,11 +130,18 @@ func (cm ConfigMerger) ListConfigs() []string {
 func (cm ConfigMerger) LoadConfigs(path string) error {
 	cm.Lock()
 	defer cm.Unlock()
-	files, err := ioutil.ReadDir(path)
+	entries, err := os.ReadDir(path)
 	if err != nil {
 		return err
 	}
-
+	files := make([]fs.FileInfo, 0, len(entries))
+	for _, entry := range entries {
+		info, err := entry.Info()
+		if err != nil {
+			return err
+		}
+		files = append(files, info)
+	}
 	for _, file := range files {
 		// Skip templates, YAML and .keep files
 		if !strings.Contains(file.Name(), ".yaml") {

api/config_test.go

@@ -0,0 +1,54 @@
+package api
+
+import (
+	"os"
+
+	"github.com/go-skynet/LocalAI/pkg/model"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Test cases for config related functions", func() {
+
+	var (
+		configFile string
+	)
+
+	Context("Test Read configuration functions", func() {
+		configFile = os.Getenv("CONFIG_FILE")
+		It("Test ReadConfigFile", func() {
+			config, err := ReadConfigFile(configFile)
+			Expect(err).To(BeNil())
+			Expect(config).ToNot(BeNil())
+			// two configs in config.yaml
+			Expect(config[0].Name).To(Equal("list1"))
+			Expect(config[1].Name).To(Equal("list2"))
+		})
+
+		It("Test LoadConfigs", func() {
+			cm := NewConfigMerger()
+			options := newOptions()
+			modelLoader := model.NewModelLoader(os.Getenv("MODELS_PATH"))
+			WithModelLoader(modelLoader)(options)
+
+			err := cm.LoadConfigs(options.loader.ModelPath)
+			Expect(err).To(BeNil())
+			Expect(cm.configs).ToNot(BeNil())
+
+			// config should includes gpt4all models's api.config
+			Expect(cm.configs).To(HaveKey("gpt4all"))
+
+			// config should includes gpt2 models's api.config
+			Expect(cm.configs).To(HaveKey("gpt4all-2"))
+
+			// config should includes text-embedding-ada-002 models's api.config
+			Expect(cm.configs).To(HaveKey("text-embedding-ada-002"))
+
+			// config should includes rwkv_test models's api.config
+			Expect(cm.configs).To(HaveKey("rwkv_test"))
+
+			// config should includes whisper-1 models's api.config
+			Expect(cm.configs).To(HaveKey("whisper-1"))
+		})
+	})
+})

api/gallery.go

@@ -2,10 +2,12 @@ package api
 
 import (
 	"context"
+	"encoding/json"
 	"fmt"
 	"io/ioutil"
 	"net/http"
 	"net/url"
+	"os"
 	"strings"
 	"sync"
 
@@ -40,6 +42,43 @@ func newGalleryApplier(modelPath string) *galleryApplier {
 		statuses:  make(map[string]*galleryOpStatus),
 	}
 }
+
+func applyGallery(modelPath string, req ApplyGalleryModelRequest, cm *ConfigMerger) error {
+	url, err := req.DecodeURL()
+	if err != nil {
+		return err
+	}
+
+	// Send a GET request to the URL
+	response, err := http.Get(url)
+	if err != nil {
+		return err
+	}
+	defer response.Body.Close()
+
+	// Read the response body
+	body, err := ioutil.ReadAll(response.Body)
+	if err != nil {
+		return err
+	}
+
+	// Unmarshal YAML data into a Config struct
+	var config gallery.Config
+	err = yaml.Unmarshal(body, &config)
+	if err != nil {
+		return err
+	}
+
+	config.Files = append(config.Files, req.AdditionalFiles...)
+
+	if err := gallery.Apply(modelPath, req.Name, &config, req.Overrides); err != nil {
+		return err
+	}
+
+	// Reload models
+	return cm.LoadConfigs(modelPath)
+}
+
 func (g *galleryApplier) updatestatus(s string, op *galleryOpStatus) {
 	g.Lock()
 	defer g.Unlock()
@@ -66,44 +105,7 @@ func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
 					g.updatestatus(op.id, &galleryOpStatus{Error: e, Processed: true})
 				}
 
-				url, err := op.req.DecodeURL()
+				if err := applyGallery(g.modelPath, op.req, cm); err != nil {
-				if err != nil {
-					updateError(err)
-					continue
-				}
-
-				// Send a GET request to the URL
-				response, err := http.Get(url)
-				if err != nil {
-					updateError(err)
-					continue
-				}
-				defer response.Body.Close()
-
-				// Read the response body
-				body, err := ioutil.ReadAll(response.Body)
-				if err != nil {
-					updateError(err)
-					continue
-				}
-
-				// Unmarshal YAML data into a Config struct
-				var config gallery.Config
-				err = yaml.Unmarshal(body, &config)
-				if err != nil {
-					updateError(fmt.Errorf("failed to unmarshal YAML: %v", err))
-					continue
-				}
-
-				config.Files = append(config.Files, op.req.AdditionalFiles...)
-
-				if err := gallery.Apply(g.modelPath, op.req.Name, &config, op.req.Overrides); err != nil {
-					updateError(err)
-					continue
-				}
-
-				// Reload models
-				if err := cm.LoadConfigs(g.modelPath); err != nil {
 					updateError(err)
 					continue
 				}
@@ -114,6 +116,41 @@ func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
 	}()
 }
 
+func ApplyGalleryFromFile(modelPath, s string, cm *ConfigMerger) error {
+	dat, err := os.ReadFile(s)
+	if err != nil {
+		return err
+	}
+	var requests []ApplyGalleryModelRequest
+	err = json.Unmarshal(dat, &requests)
+	if err != nil {
+		return err
+	}
+
+	for _, r := range requests {
+		if err := applyGallery(modelPath, r, cm); err != nil {
+			return err
+		}
+	}
+
+	return nil
+}
+func ApplyGalleryFromString(modelPath, s string, cm *ConfigMerger) error {
+	var requests []ApplyGalleryModelRequest
+	err := json.Unmarshal([]byte(s), &requests)
+	if err != nil {
+		return err
+	}
+
+	for _, r := range requests {
+		if err := applyGallery(modelPath, r, cm); err != nil {
+			return err
+		}
+	}
+
+	return nil
+}
+
 // endpoints
 
 type ApplyGalleryModelRequest struct {

api/openai.go

@@ -4,6 +4,7 @@ import (
 	"bufio"
 	"bytes"
 	"encoding/base64"
+	"errors"
 	"encoding/json"
 	"fmt"
 	"io"
@@ -142,31 +143,102 @@ func defaultRequest(modelFile string) OpenAIRequest {
 }
 
 // https://platform.openai.com/docs/api-reference/completions
-func completionEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func completionEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
+	process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
+		ComputeChoices(s, req, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
+			resp := OpenAIResponse{
+				Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
+				Choices: []Choice{{Text: s}},
+				Object:  "text_completion",
+			}
+			log.Debug().Msgf("Sending goroutine: %s", s)
 
-		model, input, err := readInput(c, loader, true)
+			responses <- resp
+			return true
+		})
+		close(responses)
+	}
+
+	return func(c *fiber.Ctx) error {
+		model, input, err := readInput(c, o.loader, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
-		config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
+		log.Debug().Msgf("`input`: %+v", input)
+
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
 		log.Debug().Msgf("Parameter Config: %+v", config)
 
+		if input.Stream {
+			log.Debug().Msgf("Stream request received")
+			c.Context().SetContentType("text/event-stream")
+			//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
+			//c.Set("Content-Type", "text/event-stream")
+			c.Set("Cache-Control", "no-cache")
+			c.Set("Connection", "keep-alive")
+			c.Set("Transfer-Encoding", "chunked")
+		}
+
 		templateFile := config.Model
 
 		if config.TemplateConfig.Completion != "" {
 			templateFile = config.TemplateConfig.Completion
 		}
 
+		if input.Stream {
+			if (len(config.PromptStrings) > 1) {
+				return errors.New("cannot handle more than 1 `PromptStrings` when `Stream`ing")
+			}
+
+			predInput := config.PromptStrings[0]
+
+			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
+			templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
+				Input string
+			}{Input: predInput})
+			if err == nil {
+				predInput = templatedInput
+				log.Debug().Msgf("Template found, input modified to: %s", predInput)
+			}
+
+			responses := make(chan OpenAIResponse)
+
+			go process(predInput, input, config, o.loader, responses)
+
+			c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
+
+				for ev := range responses {
+					var buf bytes.Buffer
+					enc := json.NewEncoder(&buf)
+					enc.Encode(ev)
+
+					log.Debug().Msgf("Sending chunk: %s", buf.String())
+					fmt.Fprintf(w, "data: %v\n", buf.String())
+					w.Flush()
+				}
+
+				resp := &OpenAIResponse{
+					Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
+					Choices: []Choice{{FinishReason: "stop"}},
+				}
+				respData, _ := json.Marshal(resp)
+
+				w.WriteString(fmt.Sprintf("data: %s\n\n", respData))
+				w.WriteString("data: [DONE]\n\n")
+				w.Flush()
+			}))
+			return nil
+		}
+
 		var result []Choice
 		for _, i := range config.PromptStrings {
 			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+			templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 				Input string
 			}{Input: i})
 			if err == nil {
@@ -174,7 +246,7 @@ func completionEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(i, input, config, o.loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s})
 			}, nil)
 			if err != nil {
@@ -199,14 +271,14 @@ func completionEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 }
 
 // https://platform.openai.com/docs/api-reference/embeddings
-func embeddingsEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func embeddingsEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		model, input, err := readInput(c, loader, true)
+		model, input, err := readInput(c, o.loader, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
-		config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -216,7 +288,7 @@ func embeddingsEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 
 		for i, s := range config.InputToken {
 			// get the model function to call for the result
-			embedFn, err := ModelEmbedding("", s, loader, *config)
+			embedFn, err := ModelEmbedding("", s, o.loader, *config)
 			if err != nil {
 				return err
 			}
@@ -230,7 +302,7 @@ func embeddingsEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 
 		for i, s := range config.InputStrings {
 			// get the model function to call for the result
-			embedFn, err := ModelEmbedding(s, []int{}, loader, *config)
+			embedFn, err := ModelEmbedding(s, []int{}, o.loader, *config)
 			if err != nil {
 				return err
 			}
@@ -256,13 +328,20 @@ func embeddingsEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 	}
 }
 
-func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 
 	process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
+		initialMessage := OpenAIResponse{
+			Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
+			Choices: []Choice{{Delta: &Message{Role: "assistant"}}},
+			Object:  "chat.completion.chunk",
+		}
+		responses <- initialMessage
+
 		ComputeChoices(s, req, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
 			resp := OpenAIResponse{
 				Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
-				Choices: []Choice{{Delta: &Message{Role: "assistant", Content: s}}},
+				Choices: []Choice{{Delta: &Message{Content: s}}},
 				Object:  "chat.completion.chunk",
 			}
 			log.Debug().Msgf("Sending goroutine: %s", s)
@@ -273,12 +352,12 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 		close(responses)
 	}
 	return func(c *fiber.Ctx) error {
-		model, input, err := readInput(c, loader, true)
+		model, input, err := readInput(c, o.loader, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
-		config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -319,7 +398,7 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 		}
 
 		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+		templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 			Input string
 		}{Input: predInput})
 		if err == nil {
@@ -330,7 +409,7 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 		if input.Stream {
 			responses := make(chan OpenAIResponse)
 
-			go process(predInput, input, config, loader, responses)
+			go process(predInput, input, config, o.loader, responses)
 
 			c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
 
@@ -339,13 +418,11 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 					enc := json.NewEncoder(&buf)
 					enc.Encode(ev)
 
-					fmt.Fprintf(w, "event: data\n\n")
-					fmt.Fprintf(w, "data: %v\n\n", buf.String())
 					log.Debug().Msgf("Sending chunk: %s", buf.String())
+					fmt.Fprintf(w, "data: %v\n", buf.String())
 					w.Flush()
 				}
 
-				w.WriteString("event: data\n\n")
 				resp := &OpenAIResponse{
 					Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
 					Choices: []Choice{{FinishReason: "stop"}},
@@ -353,12 +430,13 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 				respData, _ := json.Marshal(resp)
 
 				w.WriteString(fmt.Sprintf("data: %s\n\n", respData))
+				w.WriteString("data: [DONE]\n\n")
 				w.Flush()
 			}))
 			return nil
 		}
 
-		result, err := ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {
+		result, err := ComputeChoices(predInput, input, config, o.loader, func(s string, c *[]Choice) {
 			*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: s}})
 		}, nil)
 		if err != nil {
@@ -378,14 +456,14 @@ func chatEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 	}
 }
 
-func editEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func editEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		model, input, err := readInput(c, loader, true)
+		model, input, err := readInput(c, o.loader, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
-		config, input, err := readConfig(model, input, cm, loader, debug, threads, ctx, f16)
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -401,7 +479,7 @@ func editEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 		var result []Choice
 		for _, i := range config.InputStrings {
 			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+			templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 				Input       string
 				Instruction string
 			}{Input: i})
@@ -410,7 +488,7 @@ func editEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(i, input, config, o.loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s})
 			}, nil)
 			if err != nil {
@@ -449,9 +527,9 @@ func editEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threa
 
 *
 */
-func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imageDir string) func(c *fiber.Ctx) error {
+func imageEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readInput(c, loader, false)
+		m, input, err := readInput(c, o.loader, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -461,7 +539,7 @@ func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imag
 		}
 		log.Debug().Msgf("Loading model: %+v", m)
 
-		config, input, err := readConfig(m, input, cm, loader, debug, 0, 0, false)
+		config, input, err := readConfig(m, input, cm, o.loader, o.debug, 0, 0, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -518,7 +596,7 @@ func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imag
 
 				tempDir := ""
 				if !b64JSON {
-					tempDir = imageDir
+					tempDir = o.imageDir
 				}
 				// Create a temporary file
 				outputFile, err := ioutil.TempFile(tempDir, "b64")
@@ -535,7 +613,7 @@ func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imag
 
 				baseURL := c.BaseURL()
 
-				fn, err := ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, loader, *config)
+				fn, err := ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, o.loader, *config)
 				if err != nil {
 					return err
 				}
@@ -574,14 +652,14 @@ func imageEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, imag
 }
 
 // https://platform.openai.com/docs/api-reference/audio/create
-func transcriptEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func transcriptEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readInput(c, loader, false)
+		m, input, err := readInput(c, o.loader, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
 
-		config, input, err := readConfig(m, input, cm, loader, debug, threads, ctx, f16)
+		config, input, err := readConfig(m, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -616,7 +694,7 @@ func transcriptEndpoint(cm *ConfigMerger, debug bool, loader *model.ModelLoader,
 
 		log.Debug().Msgf("Audio file copied to: %+v", dst)
 
-		whisperModel, err := loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
+		whisperModel, err := o.loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
 		if err != nil {
 			return err
 		}

api/options.go

@@ -0,0 +1,137 @@
+package api
+
+import (
+	"context"
+	"embed"
+
+	model "github.com/go-skynet/LocalAI/pkg/model"
+)
+
+type Option struct {
+	context                         context.Context
+	configFile                      string
+	loader                          *model.ModelLoader
+	uploadLimitMB, threads, ctxSize int
+	f16                             bool
+	debug, disableMessage           bool
+	imageDir                        string
+	cors                            bool
+	preloadJSONModels               string
+	preloadModelsFromPath           string
+	corsAllowOrigins                string
+
+	backendAssets     embed.FS
+	assetsDestination string
+}
+
+type AppOption func(*Option)
+
+func newOptions(o ...AppOption) *Option {
+	opt := &Option{
+		context:        context.Background(),
+		uploadLimitMB:  15,
+		threads:        1,
+		ctxSize:        512,
+		debug:          true,
+		disableMessage: true,
+	}
+	for _, oo := range o {
+		oo(opt)
+	}
+	return opt
+}
+
+func WithCors(b bool) AppOption {
+	return func(o *Option) {
+		o.cors = b
+	}
+}
+
+func WithCorsAllowOrigins(b string) AppOption {
+	return func(o *Option) {
+		o.corsAllowOrigins = b
+	}
+}
+
+func WithBackendAssetsOutput(out string) AppOption {
+	return func(o *Option) {
+		o.assetsDestination = out
+	}
+}
+
+func WithBackendAssets(f embed.FS) AppOption {
+	return func(o *Option) {
+		o.backendAssets = f
+	}
+}
+
+func WithContext(ctx context.Context) AppOption {
+	return func(o *Option) {
+		o.context = ctx
+	}
+}
+
+func WithYAMLConfigPreload(configFile string) AppOption {
+	return func(o *Option) {
+		o.preloadModelsFromPath = configFile
+	}
+}
+
+func WithJSONStringPreload(configFile string) AppOption {
+	return func(o *Option) {
+		o.preloadJSONModels = configFile
+	}
+}
+func WithConfigFile(configFile string) AppOption {
+	return func(o *Option) {
+		o.configFile = configFile
+	}
+}
+
+func WithModelLoader(loader *model.ModelLoader) AppOption {
+	return func(o *Option) {
+		o.loader = loader
+	}
+}
+
+func WithUploadLimitMB(limit int) AppOption {
+	return func(o *Option) {
+		o.uploadLimitMB = limit
+	}
+}
+
+func WithThreads(threads int) AppOption {
+	return func(o *Option) {
+		o.threads = threads
+	}
+}
+
+func WithContextSize(ctxSize int) AppOption {
+	return func(o *Option) {
+		o.ctxSize = ctxSize
+	}
+}
+
+func WithF16(f16 bool) AppOption {
+	return func(o *Option) {
+		o.f16 = f16
+	}
+}
+
+func WithDebug(debug bool) AppOption {
+	return func(o *Option) {
+		o.debug = debug
+	}
+}
+
+func WithDisableMessage(disableMessage bool) AppOption {
+	return func(o *Option) {
+		o.disableMessage = disableMessage
+	}
+}
+
+func WithImageDir(imageDir string) AppOption {
+	return func(o *Option) {
+		o.imageDir = imageDir
+	}
+}

api/prediction.go

@@ -2,16 +2,19 @@ package api
 
 import (
 	"fmt"
+	"os"
+	"path/filepath"
 	"regexp"
 	"strings"
 	"sync"
 
 	"github.com/donomii/go-rwkv.cpp"
+	"github.com/go-skynet/LocalAI/pkg/langchain"
 	model "github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
 	"github.com/go-skynet/bloomz.cpp"
 	bert "github.com/go-skynet/go-bert.cpp"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
+	transformers "github.com/go-skynet/go-ggml-transformers.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
 	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
 )
@@ -102,7 +105,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config)
 	switch model := inferenceModel.(type) {
 	case *llama.LLama:
 		fn = func() ([]float32, error) {
-			predictOptions := buildLLamaPredictOptions(c)
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
 			if len(tokens) > 0 {
 				return model.TokenEmbeddings(tokens, predictOptions...)
 			}
@@ -151,7 +154,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config)
 	}, nil
 }
 
-func buildLLamaPredictOptions(c Config) []llama.PredictOption {
+func buildLLamaPredictOptions(c Config, modelPath string) []llama.PredictOption {
 	// Generate the prediction using the language model
 	predictOptions := []llama.PredictOption{
 		llama.SetTemperature(c.Temperature),
@@ -161,6 +164,17 @@ func buildLLamaPredictOptions(c Config) []llama.PredictOption {
 		llama.SetThreads(c.Threads),
 	}
 
+	if c.PromptCacheAll {
+		predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
+	}
+
+	if c.PromptCachePath != "" {
+		// Create parent directory
+		p := filepath.Join(modelPath, c.PromptCachePath)
+		os.MkdirAll(filepath.Dir(p), 0755)
+		predictOptions = append(predictOptions, llama.SetPathPromptCache(p))
+	}
+
 	if c.Mirostat != 0 {
 		predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
 	}
@@ -243,23 +257,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 
 			return response, nil
 		}
-	case *gpt2.GPTNeoX:
+	case *transformers.GPTNeoX:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -267,23 +281,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.Replit:
+	case *transformers.Replit:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -291,23 +305,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.Starcoder:
+	case *transformers.Starcoder:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -315,23 +329,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.RedPajama:
+	case *transformers.MPT:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -359,23 +373,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.StableLM:
+	case *transformers.GPTJ:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -383,23 +397,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.Dolly:
+	case *transformers.Dolly:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -407,23 +421,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.GPT2:
+	case *transformers.GPT2:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
+			predictOptions := []transformers.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
+				transformers.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
+				transformers.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
+				transformers.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
+				transformers.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -469,7 +483,7 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				model.SetTokenCallback(tokenCallback)
 			}
 
-			predictOptions := buildLLamaPredictOptions(c)
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
 
 			str, er := model.Predict(
 				s,
@@ -481,6 +495,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 			model.SetTokenCallback(nil)
 			return str, er
 		}
+	case *langchain.HuggingFace:
+		fn = func() (string, error) {
+
+			// Generate the prediction using the language model
+			predictOptions := []langchain.PredictOption{
+				langchain.SetModel(c.Model),
+				langchain.SetMaxTokens(c.Maxtokens),
+				langchain.SetTemperature(c.Temperature),
+				langchain.SetStopWords(c.StopWords),
+			}
+
+			pred, er := model.PredictHuggingFace(s, predictOptions...)
+			if er != nil {
+				return "", er
+			}
+			return pred.Completion, nil
+		}
 	}
 
 	return func() (string, error) {

assets.go

@@ -0,0 +1,6 @@
+package main
+
+import "embed"
+
+//go:embed backend-assets/*
+var backendAssets embed.FS

docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: .
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     env_file:

entrypoint.sh

@@ -1,9 +1,11 @@
 #!/bin/bash
+set -e
 
 cd /build
 
 if [ "$REBUILD" != "false" ]; then
-	make rebuild
+	rm -rf ./local-ai
+	make build
 fi
 
 ./local-ai "$@"

examples/README.md

@@ -4,6 +4,13 @@ Here is a list of projects that can easily be integrated with the LocalAI backen
 
 ### Projects
 
+### AutoGPT
+
+_by [@mudler](https://github.com/mudler)_
+
+This example shows how to use AutoGPT with LocalAI.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/autoGPT/)
 
 ### Chatbot-UI
 
@@ -15,6 +22,16 @@ This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https:/
 
 [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
 
+There is also a separate example to show how to manually setup a model: [example](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui-manual/)
+
+### Flowise
+
+_by [@mudler](https://github.com/mudler)_
+
+This example shows how to use [FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise) with LocalAI.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/flowise/)
+
 ### Discord bot
 
 _by [@mudler](https://github.com/mudler)_
@@ -57,6 +74,14 @@ A full example on how to run RWKV models with LocalAI
 
 [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/)
 
+### PrivateGPT
+
+_by [@mudler](https://github.com/mudler)_
+
+A full example on how to run PrivateGPT with LocalAI
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/privateGPT/)
+
 ### Slack bot
 
 _by [@mudler](https://github.com/mudler)_

examples/autoGPT/.env

@@ -0,0 +1,5 @@
+OPENAI_API_KEY=sk---anystringhere
+OPENAI_API_BASE=http://api:8080/v1
+# Models to preload at start
+# Here we configure gpt4all as gpt-3.5-turbo and bert as embeddings
+PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}, { "url": "github:go-skynet/model-gallery/bert-embeddings.yaml", "name": "text-embedding-ada-002"}]

examples/autoGPT/README.md

@@ -0,0 +1,32 @@
+# AutoGPT
+
+Example of integration with [AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT).
+
+## Run
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/autoGPT
+
+docker-compose run --rm auto-gpt
+```
+
+Note: The example automatically downloads the `gpt4all` model as it is under a permissive license. The GPT4All model does not seem to be enough to run AutoGPT. WizardLM-7b-uncensored seems to perform better (with `f16: true`).
+
+See the `.env` configuration file to set a different model with the [model-gallery](https://github.com/go-skynet/model-gallery) by editing `PRELOAD_MODELS`.
+
+## Without docker
+
+Run AutoGPT with `OPENAI_API_BASE` pointing to the LocalAI endpoint. If you run it locally for instance:
+
+```
+OPENAI_API_BASE=http://localhost:8080 python ...
+```
+
+Note: you need a model named `gpt-3.5-turbo` and `text-embedding-ada-002`. You can preload those in LocalAI at start by setting in the env:
+
+```
+PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}, { "url": "github:go-skynet/model-gallery/bert-embeddings.yaml", "name": "text-embedding-ada-002"}]
+```

examples/autoGPT/docker-compose.yaml

@@ -0,0 +1,42 @@
+version: "3.9"
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    ports:
+      - 8080:8080
+    env_file:
+      - .env
+    environment:
+      - DEBUG=true
+      - MODELS_PATH=/models
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai" ]
+  auto-gpt:
+    image: significantgravitas/auto-gpt
+    depends_on:
+      api:
+        condition: service_healthy
+      redis:
+        condition: service_started
+    env_file:
+      - .env
+    environment:
+      MEMORY_BACKEND: ${MEMORY_BACKEND:-redis}
+      REDIS_HOST: ${REDIS_HOST:-redis}
+    profiles: ["exclude-from-up"]
+    volumes:
+      - ./auto_gpt_workspace:/app/autogpt/auto_gpt_workspace
+      - ./data:/app/data
+      ## allow auto-gpt to write logs to disk
+      - ./logs:/app/logs
+      ## uncomment following lines if you want to make use of these files
+      ## you must have them existing in the same folder as this docker-compose.yml
+      #- type: bind
+      #  source: ./azure.yaml
+      #  target: /app/azure.yaml
+      #- type: bind
+      #  source: ./ai_settings.yaml
+      #  target: /app/ai_settings.yaml
+  redis:
+    image: "redis/redis-stack-server:latest"

examples/chatbot-ui-manual/README.md

@@ -0,0 +1,48 @@
+# chatbot-ui
+
+Example of integration with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
+
+![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
+
+## Setup
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/chatbot-ui
+
+# (optional) Checkout a specific LocalAI tag
+# git checkout -b build <TAG>
+
+# Download gpt4all-j to models/
+wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
+
+# start with docker-compose
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
+```
+
+## Pointing chatbot-ui to a separately managed LocalAI service
+
+If you want to use the [chatbot-ui example](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) with an externally managed LocalAI service, you can alter the `docker-compose` file so that it looks like the below. You will notice the file is smaller, because we have removed the section that would normally start the LocalAI service. Take care to update the IP address (or FQDN) that the chatbot-ui service tries to access (marked `<<LOCALAI_IP>>` below):
+```
+version: '3.6'
+
+services:
+  chatgpt:
+    image: ghcr.io/mckaywrigley/chatbot-ui:main
+    ports:
+      - 3000:3000
+    environment:
+      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
+      - 'OPENAI_API_HOST=http://<<LOCALAI_IP>>:8080'
+```
+
+Once you've edited the Dockerfile, you can start it with `docker compose up`, then browse to `http://localhost:3000`.
+
+## Accessing chatbot-ui
+
+Open http://localhost:3000 for the Web UI.
+

examples/chatbot-ui-manual/docker-compose.yaml

@@ -0,0 +1,24 @@
+version: '3.6'
+
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    build:
+      context: ../../
+      dockerfile: Dockerfile
+    ports:
+      - 8080:8080
+    environment:
+      - DEBUG=true
+      - MODELS_PATH=/models
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai" ]
+
+  chatgpt:
+    image: ghcr.io/mckaywrigley/chatbot-ui:main
+    ports:
+      - 3000:3000
+    environment:
+      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
+      - 'OPENAI_API_HOST=http://api:8080'

examples/chatbot-ui-manual/models/gpt-3.5-turbo.yaml

@@ -5,7 +5,6 @@ parameters:
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 14
 stopwords:
 - "HUMAN:"
 - "GPT:"

examples/chatbot-ui/README.md

@@ -4,22 +4,18 @@ Example of integration with [mckaywrigley/chatbot-ui](https://github.com/mckaywr
 
 ![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
 
-## Setup
+## Run
 
+In this example LocalAI will download the gpt4all model and set it up as "gpt-3.5-turbo". See the `docker-compose.yaml`
 ```bash
 # Clone LocalAI
 git clone https://github.com/go-skynet/LocalAI
 
 cd LocalAI/examples/chatbot-ui
 
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
 # start with docker-compose
-docker-compose up -d --pull always
+docker-compose up --pull always
+
 # or you can build the images with:
 # docker-compose up -d --build
 ```

examples/chatbot-ui/docker-compose.yaml

@@ -3,19 +3,32 @@ version: '3.6'
 services:
   api:
     image: quay.io/go-skynet/local-ai:latest
+    # As initially LocalAI will download the models defined in PRELOAD_MODELS
+    # you might need to tweak the healthcheck values here according to your network connection.
+    # Here we give a timespan of 20m to download all the required files.
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]
+      interval: 1m
+      timeout: 20m
+      retries: 20
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:
       - DEBUG=true
       - MODELS_PATH=/models
+      # You can preload different models here as well.
+      # See: https://github.com/go-skynet/model-gallery
+      - 'PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}]'
     volumes:
       - ./models:/models:cached
     command: ["/usr/bin/local-ai" ]
-
   chatgpt:
+    depends_on:
+      api:
+        condition: service_healthy
     image: ghcr.io/mckaywrigley/chatbot-ui:main
     ports:
       - 3000:3000

examples/discord-bot/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:

examples/flowise/README.md

@@ -0,0 +1,26 @@
+# flowise
+
+Example of integration with [FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise).
+
+![Screenshot from 2023-05-30 18-01-03](https://github.com/go-skynet/LocalAI/assets/2420543/02458782-0549-4131-971c-95ee56ec1af8)
+
+You can check a demo video in the Flowise PR: https://github.com/FlowiseAI/Flowise/pull/123
+
+## Run
+
+In this example LocalAI will download the gpt4all model and set it up as "gpt-3.5-turbo". See the `docker-compose.yaml`
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/flowise
+
+# start with docker-compose
+docker-compose up --pull always
+
+```
+
+## Accessing flowise
+
+Open http://localhost:3000.
+

examples/flowise/docker-compose.yaml

@@ -0,0 +1,37 @@
+version: '3.6'
+
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    # As initially LocalAI will download the models defined in PRELOAD_MODELS
+    # you might need to tweak the healthcheck values here according to your network connection.
+    # Here we give a timespan of 20m to download all the required files.
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]
+      interval: 1m
+      timeout: 20m
+      retries: 20
+    build:
+      context: ../../
+      dockerfile: Dockerfile
+    ports:
+      - 8080:8080
+    environment:
+      - DEBUG=true
+      - MODELS_PATH=/models
+      # You can preload different models here as well.
+      # See: https://github.com/go-skynet/model-gallery
+      - 'PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}]'
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai" ]
+  flowise:
+    depends_on:
+      api:
+        condition: service_healthy
+    image: flowiseai/flowise
+    ports:
+      - 3000:3000
+    volumes:
+        - ~/.flowise:/root/.flowise
+    command: /bin/sh -c "sleep 3; flowise start"

examples/langchain-huggingface/README.md

@@ -0,0 +1,68 @@
+# Data query example
+
+Example of integration with HuggingFace Inference API with help of [langchaingo](https://github.com/tmc/langchaingo).
+
+## Setup
+
+Download the LocalAI and start the API:
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/langchain-huggingface
+
+docker-compose up -d
+```
+
+Node: Ensure you've set `HUGGINGFACEHUB_API_TOKEN` environment variable, you can generate it
+on [Settings / Access Tokens](https://huggingface.co/settings/tokens) page of HuggingFace site.
+
+This is an example `.env` file for LocalAI:
+
+```ini
+MODELS_PATH=/models
+CONTEXT_SIZE=512
+HUGGINGFACEHUB_API_TOKEN=hg_123456
+```
+
+## Using remote models
+
+Now you can use any remote models available via HuggingFace API, for example let's enable using of
+[gpt2](https://huggingface.co/gpt2) model in `gpt-3.5-turbo.yaml` config:
+
+```yml
+name: gpt-3.5-turbo
+parameters:
+  model: gpt2
+  top_k: 80
+  temperature: 0.2
+  top_p: 0.7
+context_size: 1024
+backend: "langchain-huggingface"
+stopwords:
+- "HUMAN:"
+- "GPT:"
+roles:
+  user: " "
+  system: " "
+template:
+  completion: completion
+  chat: gpt4all
+```
+
+Here is you can see in field `parameters.model` equal `gpt2` and `backend` equal `langchain-huggingface`.
+
+## How to use
+
+```shell
+# Now API is accessible at localhost:8080
+curl http://localhost:8080/v1/models
+# {"object":"list","data":[{"id":"gpt-3.5-turbo","object":"model"}]}
+
+curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
+  "model": "gpt-3.5-turbo",
+  "prompt": "A long time ago in a galaxy far, far away",
+  "temperature": 0.7
+}'
+```

examples/langchain-huggingface/docker-compose.yml

@@ -0,0 +1,15 @@
+version: '3.6'
+
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    build:
+      context: ../../
+      dockerfile: Dockerfile
+    ports:
+      - 8080:8080
+    env_file:
+      - ../../.env
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai"]

examples/langchain-huggingface/models/completion.tmpl

@@ -0,0 +1 @@
+{{.Input}}

examples/langchain-huggingface/models/gpt-3.5-turbo.yaml

@@ -0,0 +1,17 @@
+name: gpt-3.5-turbo
+parameters:
+  model: gpt2
+  top_k: 80
+  temperature: 0.2
+  top_p: 0.7
+context_size: 1024
+backend: "langchain-huggingface"
+stopwords:
+- "HUMAN:"
+- "GPT:"
+roles:
+  user: " "
+  system: " "
+template:
+  completion: completion
+  chat: gpt4all

examples/langchain-huggingface/models/gpt4all.tmpl

@@ -0,0 +1,4 @@
+The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
+### Prompt:
+{{.Input}}
+### Response:

examples/langchain-python/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:

examples/langchain/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:

examples/langchain/models/gpt-3.5-turbo.yaml

@@ -5,7 +5,6 @@ parameters:
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 4
 stopwords:
 - "HUMAN:"
 - "GPT:"

examples/privateGPT/README.md

@@ -0,0 +1,25 @@
+# privateGPT
+
+This example is a re-adaptation of https://github.com/imartinez/privateGPT to work with LocalAI and OpenAI endpoints. We have a fork with the changes required to work with privateGPT here https://github.com/go-skynet/privateGPT ( PR: https://github.com/imartinez/privateGPT/pull/408 ).
+
+Follow the instructions in https://github.com/go-skynet/privateGPT:
+
+```bash
+git clone git@github.com:go-skynet/privateGPT.git
+cd privateGPT
+pip install -r requirements.txt
+```
+
+Rename `example.env` to `.env` and edit the variables appropriately.
+
+This is an example `.env` file for LocalAI:
+
+```
+PERSIST_DIRECTORY=db
+# Set to OpenAI here
+MODEL_TYPE=OpenAI
+EMBEDDINGS_MODEL_NAME=all-MiniLM-L6-v2
+MODEL_N_CTX=1000
+# LocalAI URL
+OPENAI_API_BASE=http://localhost:8080/v1
+```

examples/query_data/models/gpt-3.5-turbo.yaml

@@ -5,7 +5,6 @@ parameters:
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 14
 stopwords:
 - "HUMAN:"
 - "GPT:"

examples/rwkv/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:

examples/rwkv/models/gpt-3.5-turbo.yaml

@@ -6,7 +6,6 @@ parameters:
   max_tokens: 100
   top_p: 0.8
 context_size: 1024
-threads: 14
 backend: "rwkv"
 cutwords:
 - "Bob:.*"

examples/rwkv/scripts/build.sh

@@ -8,4 +8,4 @@ FILENAME=$(basename $URL)
 wget -nc $URL -O /build/$FILENAME
 
 python3 /build/rwkv.cpp/rwkv/convert_pytorch_to_ggml.py /build/$FILENAME /build/float-model float16
-python3 /build/rwkv.cpp/rwkv/quantize.py /build/float-model $OUT Q4_2
+python3 /build/rwkv.cpp/rwkv/quantize.py /build/float-model $OUT Q4_0

examples/slack-bot/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     image: quay.io/go-skynet/local-ai:latest
     build:
       context: ../../
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
     ports:
       - 8080:8080
     environment:

go.mod

@@ -3,30 +3,32 @@ module github.com/go-skynet/LocalAI
 go 1.19
 
 require (
-	github.com/deepmap/oapi-codegen v1.12.4
+	github.com/donomii/go-rwkv.cpp v0.0.0-20230601111443-3b28b09469fc
-	github.com/donomii/go-rwkv.cpp v0.0.0-20230529074347-ccb05c3e1c6e
+	github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230601124500-5b9e59bc07dd
-	github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230528233858-d7c936b44a80
 	github.com/go-audio/wav v1.1.0
-	github.com/go-chi/chi/v5 v5.0.8
 	github.com/go-skynet/bloomz.cpp v0.0.0-20230529155654-1834e77b83fa
-	github.com/go-skynet/go-bert.cpp v0.0.0-20230529074307-771b4a085972
+	github.com/go-skynet/go-bert.cpp v0.0.0-20230531070950-0548994371f7
-	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230529215936-13ccc22621bb
+	github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230604074754-6fb862c72bc0
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230529221033-4afcaf28f36f
+	github.com/go-skynet/go-llama.cpp v0.0.0-20230604235446-b1a425611fde
 	github.com/gofiber/fiber/v2 v2.46.0
 	github.com/google/uuid v1.3.0
 	github.com/hashicorp/go-multierror v1.1.1
 	github.com/imdario/mergo v0.3.16
-	github.com/mitchellh/mapstructure v1.5.0
+	github.com/mudler/go-stable-diffusion v0.0.0-20230605122230-d89260f598af
-	github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642
+	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230604125924-bbe195ee0207
-	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230530152634-6ed9c1a8d8e4
+	github.com/onsi/ginkgo/v2 v2.9.7
-	github.com/onsi/ginkgo/v2 v2.9.5
 	github.com/onsi/gomega v1.27.7
 	github.com/otiai10/openaigo v1.1.0
 	github.com/rs/zerolog v1.29.1
-	github.com/sashabaranov/go-openai v1.9.4
+	github.com/sashabaranov/go-openai v1.10.0
+	github.com/swaggo/swag v1.16.1
+	github.com/tmc/langchaingo v0.0.0-20230605114752-4afed6d7be4a
 	github.com/urfave/cli/v2 v2.25.5
 	github.com/valyala/fasthttp v1.47.0
 	github.com/vmware-tanzu/carvel-ytt v0.45.1
+	github.com/deepmap/oapi-codegen v1.12.4
+	github.com/go-chi/chi/v5 v5.0.8
+	github.com/mitchellh/mapstructure v1.5.0
 	gopkg.in/yaml.v2 v2.4.0
 	gopkg.in/yaml.v3 v3.0.1
 )
@@ -47,11 +49,11 @@ require (
 	github.com/go-audio/audio v1.0.0 // indirect
 	github.com/go-audio/riff v1.0.0 // indirect
 	github.com/go-logr/logr v1.2.4 // indirect
-	github.com/go-openapi/jsonpointer v0.19.6 // indirect
+	github.com/go-openapi/jsonpointer v0.19.5 // indirect
-	github.com/go-openapi/swag v0.22.3 // indirect
+	github.com/go-openapi/jsonreference v0.19.6 // indirect
-	github.com/go-playground/locales v0.14.1 // indirect
+	github.com/go-openapi/spec v0.20.4 // indirect
-	github.com/go-playground/universal-translator v0.18.1 // indirect
+	github.com/go-openapi/swag v0.19.15 // indirect
-	github.com/go-playground/validator/v10 v10.14.0 // indirect
+	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230523153133-3eb3a32c0874 // indirect
 	github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect
 	github.com/goccy/go-json v0.10.2 // indirect
 	github.com/google/go-cmp v0.5.9 // indirect

go.sum

@@ -38,6 +38,30 @@ github.com/gin-contrib/sse v0.1.0 h1:Y/yl/+YNO8GZSjAhjMsSuLt29uWRFHdHYUb5lYOV9qE
 github.com/gin-contrib/sse v0.1.0/go.mod h1:RHrZQHXnP2xjPF+u1gW/2HnVO7nvIa9PG3Gm+fLHvGI=
 github.com/gin-gonic/gin v1.9.0 h1:OjyFBKICoexlu99ctXNR2gg+c5pKrKMuyjgARg9qeY8=
 github.com/gin-gonic/gin v1.9.0/go.mod h1:W1Me9+hsUSyj3CePGrd1/QrKJMSJ1Tu/0hFEH89961k=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56 h1:s8/MZdicstKi5fn9D9mKGIQ/q6IWCYCk/BM68i8v51w=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230529074347-ccb05c3e1c6e h1:YbcLoxAwS0r7otEqU/d8bArubmfEJaG7dZPp0Aa52Io=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230529074347-ccb05c3e1c6e/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230531084548-c43cdf5fc5bf h1:upCz8WYdzMeJg0qywUaVaGndY+niuicj5j6V4pvhNS4=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230531084548-c43cdf5fc5bf/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230601111443-3b28b09469fc h1:RCGGh/zw+K09sjCIYHUV7lFenxONml+LS02RdN+AkwI=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230601111443-3b28b09469fc/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230520182345-041be06d5881 h1:dafqVivljYk51VLFnnpTXJnfWDe637EobWZ1l8PyEf8=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230520182345-041be06d5881/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230523110439-77eab3fbfe5e h1:4PMorQuoUGAXmIzCtnNOHaasyLokXdgd8jUWwsraFTo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230523110439-77eab3fbfe5e/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
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+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230601151908-5175db27813c h1:KXYqUH6bdYbxnF67l8wayctaCZ4BQJQOsUyNke7HC0A=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230601151908-5175db27813c/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230601213413-031d7149a7fd h1:VTPLKWrmiwYnSHfZh2KHqwSbMeM3D50J6VmDznyY3Ak=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230601213413-031d7149a7fd/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230602151000-be9f6ad54342 h1:Nca3BDITw9yrhMksPL5VKpj+nOUmDXTy7qB7tHJy0R8=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230602151000-be9f6ad54342/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230603001950-25ee51e2ca3a h1:ALsGoIFe2IZLMD+y0/ds7Spn8e9qiucQ9hod0zTRmfk=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230603001950-25ee51e2ca3a/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230603140917-bc624f5389d6 h1:GcwtLT80QuxAC7Dg+EpCQv1k/2Abhw8kvxQn3vuit5Q=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230603140917-bc624f5389d6/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230604125924-bbe195ee0207 h1:3ObPrftXDNkEN5M87IXxRlhA13x/44CuVaHXppsNDUg=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230604125924-bbe195ee0207/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
 github.com/onsi/ginkgo/v2 v2.9.5 h1:+6Hr4uxzP4XIUyAkg61dWBw8lb/gc4/X5luuxN/EC+Q=
 github.com/onsi/ginkgo/v2 v2.9.5/go.mod h1:tvAoo1QUJwNEU2ITftXTpR7R1RbCzoZUOs3RonqW57k=
+github.com/onsi/ginkgo/v2 v2.9.7 h1:06xGQy5www2oN160RtEZoTvnP2sPhEfePYmCDc2szss=
+github.com/onsi/ginkgo/v2 v2.9.7/go.mod h1:cxrmXWykAwTwhQsJOPfdIDiJ+l2RYq7U8hFU+M/1uw0=
 github.com/onsi/gomega v1.27.7 h1:fVih9JD6ogIiHUN6ePK7HJidyEDpWGVB5mzM7cWNXoU=
 github.com/onsi/gomega v1.27.7/go.mod h1:1p8OOlwo2iUUDsHnOrjE5UKYJ+e3W8eQ3qSlRahPmr4=
 github.com/otiai10/mint v1.5.1 h1:XaPLeE+9vGbuyEHem1JNk3bYc7KKqyI/na0/mLd/Kks=
@@ -175,6 +287,10 @@ github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf
 github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
 github.com/sashabaranov/go-openai v1.9.4 h1:KanoCEoowAI45jVXlenMCckutSRr39qOmSi9MyPBfZM=
 github.com/sashabaranov/go-openai v1.9.4/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
+github.com/sashabaranov/go-openai v1.9.5 h1:z1VCMXsfnug+U0ceTTIXr/L26AYl9jafqA9lptlSX0c=
+github.com/sashabaranov/go-openai v1.9.5/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
+github.com/sashabaranov/go-openai v1.10.0 h1:uUD3EOKDdGa6geMVbe2Trj9/ckF9sCV5jpQM19f7GM8=
+github.com/sashabaranov/go-openai v1.10.0/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
 github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
 github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
 github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
@@ -206,6 +322,12 @@ github.com/ugorji/go v1.2.7/go.mod h1:nF9osbDWLy6bDVv/Rtoh6QgnvNDpmCalQV5urGCCS6
 github.com/ugorji/go/codec v1.2.7/go.mod h1:WGN1fab3R1fzQlVQTkfxVtIBhWDRqOviHU95kRgeqEY=
 github.com/ugorji/go/codec v1.2.11 h1:BMaWp1Bb6fHwEtbplGBGJ498wD+LKlNSl25MjdZY4dU=
 github.com/ugorji/go/codec v1.2.11/go.mod h1:UNopzCgEMSXjBc6AOMqYvWC1ktqTAfzJZUZgYf6w6lg=
+github.com/tmc/langchaingo v0.0.0-20230530193922-fb062652f841 h1:IVlfKPZzq3W1G+CkhZgN5VjmHnAeB3YqEvxyNPPCZXY=
+github.com/tmc/langchaingo v0.0.0-20230530193922-fb062652f841/go.mod h1:6l1WoyqVDwkv7cFlY3gfcTv8yVowVyuutKv8PGlQCWI=
+github.com/tmc/langchaingo v0.0.0-20230605114752-4afed6d7be4a h1:YtKJTKbM3qu60+ZxLtyeCl0RvdG7LKbyF8TT7nzV6Gg=
+github.com/tmc/langchaingo v0.0.0-20230605114752-4afed6d7be4a/go.mod h1:6l1WoyqVDwkv7cFlY3gfcTv8yVowVyuutKv8PGlQCWI=
+github.com/urfave/cli/v2 v2.25.3 h1:VJkt6wvEBOoSjPFQvOkv6iWIrsJyCrKGtCtxXWwmGeY=
+github.com/urfave/cli/v2 v2.25.3/go.mod h1:GHupkWPMM0M/sj1a2b4wUrWBPzazNrIjouW6fmdJLxc=
 github.com/urfave/cli/v2 v2.25.5 h1:d0NIAyhh5shGscroL7ek/Ya9QYQE0KNabJgiUinIQkc=
 github.com/urfave/cli/v2 v2.25.5/go.mod h1:GHupkWPMM0M/sj1a2b4wUrWBPzazNrIjouW6fmdJLxc=
 github.com/valyala/bytebufferpool v1.0.0 h1:GqA5TC/0021Y/b9FG4Oi9Mr3q7XYx6KllzawFIhcdPw=

main.go

@@ -1,7 +1,6 @@
 package main
 
 import (
-	"context"
 	"fmt"
 	"os"
 	"path/filepath"
@@ -37,13 +36,12 @@ func main() {
 				Name:    "debug",
 				EnvVars: []string{"DEBUG"},
 			},
-			&cli.IntFlag{
+			&cli.BoolFlag{
-				Name:        "threads",
+				Name:    "cors",
-				DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
+				EnvVars: []string{"CORS"},
-				EnvVars:     []string{"THREADS"},
-				Value:       4,
 			},
 			&cli.StringFlag{
+<<<<<<< HEAD
 				Name:        "models-path",
 				DefaultText: "Path containing models used for inferencing",
 				EnvVars:     []string{"MODELS_PATH"},
@@ -83,16 +81,65 @@ func main() {
 				DefaultText: "Image directory",
 				EnvVars:     []string{"IMAGE_PATH"},
 				Value:       "",
+=======
+				Name:    "cors-allow-origins",
+				EnvVars: []string{"CORS_ALLOW_ORIGINS"},
+>>>>>>> master
+			},
+			&cli.IntFlag{
+				Name:    "threads",
+				Usage:   "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
+				EnvVars: []string{"THREADS"},
+				Value:   4,
+			},
+			&cli.StringFlag{
+				Name:    "models-path",
+				Usage:   "Path containing models used for inferencing",
+				EnvVars: []string{"MODELS_PATH"},
+				Value:   filepath.Join(path, "models"),
+			},
+			&cli.StringFlag{
+				Name:    "preload-models",
+				Usage:   "A List of models to apply in JSON at start",
+				EnvVars: []string{"PRELOAD_MODELS"},
+			},
+			&cli.StringFlag{
+				Name:    "preload-models-config",
+				Usage:   "A List of models to apply at startup. Path to a YAML config file",
+				EnvVars: []string{"PRELOAD_MODELS_CONFIG"},
+			},
+			&cli.StringFlag{
+				Name:    "config-file",
+				Usage:   "Config file",
+				EnvVars: []string{"CONFIG_FILE"},
+			},
+			&cli.StringFlag{
+				Name:    "address",
+				Usage:   "Bind address for the API server.",
+				EnvVars: []string{"ADDRESS"},
+				Value:   ":8080",
+			},
+			&cli.StringFlag{
+				Name:    "image-path",
+				Usage:   "Image directory",
+				EnvVars: []string{"IMAGE_PATH"},
+				Value:   "",
+			},
+			&cli.StringFlag{
+				Name:    "backend-assets-path",
+				Usage:   "Path used to extract libraries that are required by some of the backends in runtime.",
+				EnvVars: []string{"BACKEND_ASSETS_PATH"},
+				Value:   "/tmp/localai/backend_data",
 			},
 			&cli.IntFlag{
 				Name:    "context-size",
-				DefaultText: "Default context size of the model",
+				Usage:   "Default context size of the model",
 				EnvVars: []string{"CONTEXT_SIZE"},
 				Value:   512,
 			},
 			&cli.IntFlag{
 				Name:    "upload-limit",
-				DefaultText: "Default upload-limit. MB",
+				Usage:   "Default upload-limit. MB",
 				EnvVars: []string{"UPLOAD_LIMIT"},
 				Value:   15,
 			},
@@ -141,7 +188,29 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
 
 				log.Log().Msgf("NEW v2 test: %+v", v2Server)
 			}
-			return api.App(context.Background(), ctx.String("config-file"), loader, ctx.Int("upload-limit"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false, ctx.String("image-path")).Listen(ctx.String("address"))
+			
+			app, err := api.App(
+				api.WithConfigFile(ctx.String("config-file")),
+				api.WithJSONStringPreload(ctx.String("preload-models")),
+				api.WithYAMLConfigPreload(ctx.String("preload-models-config")),
+				api.WithModelLoader(loader),
+				api.WithContextSize(ctx.Int("context-size")),
+				api.WithDebug(ctx.Bool("debug")),
+				api.WithImageDir(ctx.String("image-path")),
+				api.WithF16(ctx.Bool("f16")),
+				api.WithDisableMessage(false),
+				api.WithCors(ctx.Bool("cors")),
+				api.WithCorsAllowOrigins(ctx.String("cors-allow-origins")),
+				api.WithThreads(ctx.Int("threads")),
+				api.WithBackendAssets(backendAssets),
+				api.WithBackendAssetsOutput(ctx.String("backend-assets-path")),
+				api.WithUploadLimitMB(ctx.Int("upload-limit"))
+			)
+			if err != nil {
+				return err
+			}
+
+			return app.Listen(ctx.String("address"))
 		},
 	}
 

pkg/assets/extract.go

@@ -0,0 +1,51 @@
+package assets
+
+import (
+	"embed"
+	"fmt"
+	"io/fs"
+	"os"
+	"path/filepath"
+)
+
+func ExtractFiles(content embed.FS, extractDir string) error {
+	// Create the target directory if it doesn't exist
+	err := os.MkdirAll(extractDir, 0755)
+	if err != nil {
+		return fmt.Errorf("failed to create directory: %v", err)
+	}
+
+	// Walk through the embedded FS and extract files
+	err = fs.WalkDir(content, ".", func(path string, d fs.DirEntry, err error) error {
+		if err != nil {
+			return err
+		}
+
+		// Reconstruct the directory structure in the target directory
+		targetFile := filepath.Join(extractDir, path)
+		if d.IsDir() {
+			// Create the directory in the target directory
+			err := os.MkdirAll(targetFile, 0755)
+			if err != nil {
+				return fmt.Errorf("failed to create directory: %v", err)
+			}
+			return nil
+		}
+
+		// Read the file from the embedded FS
+		fileData, err := content.ReadFile(path)
+		if err != nil {
+			return fmt.Errorf("failed to read file: %v", err)
+		}
+
+		// Create the file in the target directory
+		err = os.WriteFile(targetFile, fileData, 0644)
+		if err != nil {
+			return fmt.Errorf("failed to write file: %v", err)
+		}
+
+		return nil
+	})
+
+	return err
+}

pkg/langchain/huggingface.go

@@ -0,0 +1,47 @@
+package langchain
+
+import (
+	"context"
+
+	"github.com/tmc/langchaingo/llms"
+	"github.com/tmc/langchaingo/llms/huggingface"
+)
+
+type HuggingFace struct {
+	modelPath string
+}
+
+func NewHuggingFace(repoId string) (*HuggingFace, error) {
+	return &HuggingFace{
+		modelPath: repoId,
+	}, nil
+}
+
+func (s *HuggingFace) PredictHuggingFace(text string, opts ...PredictOption) (*Predict, error) {
+	po := NewPredictOptions(opts...)
+
+	// Init client
+	llm, err := huggingface.New()
+	if err != nil {
+		return nil, err
+	}
+
+	// Convert from LocalAI to LangChainGo format of options
+	co := []llms.CallOption{
+		llms.WithModel(po.Model),
+		llms.WithMaxTokens(po.MaxTokens),
+		llms.WithTemperature(po.Temperature),
+		llms.WithStopWords(po.StopWords),
+	}
+
+	// Call Inference API
+	ctx := context.Background()
+	completion, err := llm.Call(ctx, text, co...)
+	if err != nil {
+		return nil, err
+	}
+
+	return &Predict{
+		Completion: completion,
+	}, nil
+}

pkg/langchain/langchain.go

@@ -0,0 +1,57 @@
+package langchain
+
+type PredictOptions struct {
+	Model string `json:"model"`
+	// MaxTokens is the maximum number of tokens to generate.
+	MaxTokens int `json:"max_tokens"`
+	// Temperature is the temperature for sampling, between 0 and 1.
+	Temperature float64 `json:"temperature"`
+	// StopWords is a list of words to stop on.
+	StopWords []string `json:"stop_words"`
+}
+
+type PredictOption func(p *PredictOptions)
+
+var DefaultOptions = PredictOptions{
+	Model:       "gpt2",
+	MaxTokens:   200,
+	Temperature: 0.96,
+	StopWords:   nil,
+}
+
+type Predict struct {
+	Completion string
+}
+
+func SetModel(model string) PredictOption {
+	return func(o *PredictOptions) {
+		o.Model = model
+	}
+}
+
+func SetTemperature(temperature float64) PredictOption {
+	return func(o *PredictOptions) {
+		o.Temperature = temperature
+	}
+}
+
+func SetMaxTokens(maxTokens int) PredictOption {
+	return func(o *PredictOptions) {
+		o.MaxTokens = maxTokens
+	}
+}
+
+func SetStopWords(stopWords []string) PredictOption {
+	return func(o *PredictOptions) {
+		o.StopWords = stopWords
+	}
+}
+
+// NewPredictOptions Create a new PredictOptions object with the given options.
+func NewPredictOptions(opts ...PredictOption) PredictOptions {
+	p := DefaultOptions
+	for _, opt := range opts {
+		opt(&p)
+	}
+	return p
+}

pkg/model/initializers.go

@@ -7,10 +7,11 @@ import (
 
 	rwkv "github.com/donomii/go-rwkv.cpp"
 	whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/go-skynet/LocalAI/pkg/langchain"
 	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
 	bloomz "github.com/go-skynet/bloomz.cpp"
 	bert "github.com/go-skynet/go-bert.cpp"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
+	transformers "github.com/go-skynet/go-ggml-transformers.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
 	"github.com/hashicorp/go-multierror"
 	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
@@ -23,61 +24,61 @@ const (
 	LlamaBackend           = "llama"
 	BloomzBackend          = "bloomz"
 	StarcoderBackend       = "starcoder"
-	StableLMBackend        = "stablelm"
+	GPTJBackend            = "gptj"
 	DollyBackend           = "dolly"
-	RedPajamaBackend       = "redpajama"
+	MPTBackend             = "mpt"
 	GPTNeoXBackend         = "gptneox"
 	ReplitBackend          = "replit"
 	Gpt2Backend            = "gpt2"
 	Gpt4AllLlamaBackend    = "gpt4all-llama"
 	Gpt4AllMptBackend      = "gpt4all-mpt"
 	Gpt4AllJBackend        = "gpt4all-j"
+	Gpt4All                = "gpt4all"
 	BertEmbeddingsBackend  = "bert-embeddings"
 	RwkvBackend            = "rwkv"
 	WhisperBackend         = "whisper"
 	StableDiffusionBackend = "stablediffusion"
+	LCHuggingFaceBackend   = "langchain-huggingface"
 )
 
 var backends []string = []string{
 	LlamaBackend,
-	Gpt4AllLlamaBackend,
+	Gpt4All,
-	Gpt4AllMptBackend,
-	Gpt4AllJBackend,
-	Gpt2Backend,
-	WhisperBackend,
 	RwkvBackend,
-	BloomzBackend,
-	StableLMBackend,
-	DollyBackend,
-	RedPajamaBackend,
-	ReplitBackend,
 	GPTNeoXBackend,
+	WhisperBackend,
 	BertEmbeddingsBackend,
+	GPTJBackend,
+	Gpt2Backend,
+	DollyBackend,
+	MPTBackend,
+	ReplitBackend,
 	StarcoderBackend,
+	BloomzBackend,
 }
 
 var starCoder = func(modelFile string) (interface{}, error) {
-	return gpt2.NewStarcoder(modelFile)
+	return transformers.NewStarcoder(modelFile)
 }
 
-var redPajama = func(modelFile string) (interface{}, error) {
+var mpt = func(modelFile string) (interface{}, error) {
-	return gpt2.NewRedPajama(modelFile)
+	return transformers.NewMPT(modelFile)
 }
 
 var dolly = func(modelFile string) (interface{}, error) {
-	return gpt2.NewDolly(modelFile)
+	return transformers.NewDolly(modelFile)
 }
 
 var gptNeoX = func(modelFile string) (interface{}, error) {
-	return gpt2.NewGPTNeoX(modelFile)
+	return transformers.NewGPTNeoX(modelFile)
 }
 
 var replit = func(modelFile string) (interface{}, error) {
-	return gpt2.NewReplit(modelFile)
+	return transformers.NewReplit(modelFile)
 }
 
-var stableLM = func(modelFile string) (interface{}, error) {
+var gptJ = func(modelFile string) (interface{}, error) {
-	return gpt2.NewStableLM(modelFile)
+	return transformers.NewGPTJ(modelFile)
 }
 
 var bertEmbeddings = func(modelFile string) (interface{}, error) {
@@ -87,8 +88,9 @@ var bertEmbeddings = func(modelFile string) (interface{}, error) {
 var bloomzLM = func(modelFile string) (interface{}, error) {
 	return bloomz.New(modelFile)
 }
-var gpt2LM = func(modelFile string) (interface{}, error) {
+
-	return gpt2.New(modelFile)
+var transformersLM = func(modelFile string) (interface{}, error) {
+	return transformers.New(modelFile)
 }
 
 var stableDiffusion = func(assetDir string) (interface{}, error) {
@@ -99,6 +101,10 @@ var whisperModel = func(modelFile string) (interface{}, error) {
 	return whisper.New(modelFile)
 }
 
+var lcHuggingFace = func(repoId string) (interface{}, error) {
+	return langchain.NewHuggingFace(repoId)
+}
+
 func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
 	return func(s string) (interface{}, error) {
 		return llama.New(s, opts...)
@@ -130,14 +136,14 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
 		return ml.LoadModel(modelFile, llamaLM(llamaOpts...))
 	case BloomzBackend:
 		return ml.LoadModel(modelFile, bloomzLM)
-	case StableLMBackend:
+	case GPTJBackend:
-		return ml.LoadModel(modelFile, stableLM)
+		return ml.LoadModel(modelFile, gptJ)
 	case DollyBackend:
 		return ml.LoadModel(modelFile, dolly)
-	case RedPajamaBackend:
+	case MPTBackend:
-		return ml.LoadModel(modelFile, redPajama)
+		return ml.LoadModel(modelFile, mpt)
 	case Gpt2Backend:
-		return ml.LoadModel(modelFile, gpt2LM)
+		return ml.LoadModel(modelFile, transformersLM)
 	case GPTNeoXBackend:
 		return ml.LoadModel(modelFile, gptNeoX)
 	case ReplitBackend:
@@ -146,18 +152,16 @@ func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, lla
 		return ml.LoadModel(modelFile, stableDiffusion)
 	case StarcoderBackend:
 		return ml.LoadModel(modelFile, starCoder)
-	case Gpt4AllLlamaBackend:
+	case Gpt4AllLlamaBackend, Gpt4AllMptBackend, Gpt4AllJBackend, Gpt4All:
-		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.LLaMAType)))
+		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads))))
-	case Gpt4AllMptBackend:
-		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.MPTType)))
-	case Gpt4AllJBackend:
-		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.GPTJType)))
 	case BertEmbeddingsBackend:
 		return ml.LoadModel(modelFile, bertEmbeddings)
 	case RwkvBackend:
 		return ml.LoadModel(modelFile, rwkvLM(filepath.Join(ml.ModelPath, modelFile+tokenizerSuffix), threads))
 	case WhisperBackend:
 		return ml.LoadModel(modelFile, whisperModel)
+	case LCHuggingFaceBackend:
+		return ml.LoadModel(modelFile, lcHuggingFace)
 	default:
 		return nil, fmt.Errorf("backend unsupported: %s", backendString)
 	}

pkg/stablediffusion/generate.go

@@ -8,6 +8,18 @@ import (
 )
 
 func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
+	if height > 512 || width > 512 {
+		return stableDiffusion.GenerateImageUpscaled(
+			height,
+			width,
+			step,
+			seed,
+			positive_prompt,
+			negative_prompt,
+			dst,
+			asset_dir,
+		)
+	}
 	return stableDiffusion.GenerateImage(
 		height,
 		width,

tests/models_fixtures/embeddings.yaml

@@ -1,6 +1,5 @@
 name: text-embedding-ada-002
 parameters:
   model: bert
-threads: 14
 backend: bert-embeddings
 embeddings: true

tests/models_fixtures/rwkv.yaml

@@ -6,7 +6,6 @@ parameters:
   max_tokens: 100
   top_p: 0.8
 context_size: 1024
-threads: 14
 backend: "rwkv"
 cutwords:
 - "Bob:.*"