images: cleanup, drop .dev Dockerfile (#437)

Signed-off-by: mudler <mudler@mocaccino.org>

.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

@@ -1,2 +1,4 @@
 models
-examples/chatbot-ui/models
+examples/chatbot-ui/models
+examples/rwkv/models
+examples/**/models

.env

@@ -1,5 +1,30 @@
+## Set number of threads.
+## Note: prefer the number of physical cores. Overbooking the CPU degrades performance notably.
 # THREADS=14
+
+## Specify a different bind address (defaults to ":8080")
+# ADDRESS=127.0.0.1:8080
+
+## Default models context size
 # CONTEXT_SIZE=512
+
+## Default path for models
 MODELS_PATH=/models
+
+## Enable debug mode
 # DEBUG=true
-# BUILD_TYPE=generic
+
+## Specify a build type. Available: cublas, openblas.
+# BUILD_TYPE=openblas
+
+## Uncomment and set to false to disable rebuilding from source
+# REBUILD=false
+
+## Enable image generation with stablediffusion (requires REBUILD=true)
+# GO_TAGS=stablediffusion
+
+## Path where to store generated images
+# IMAGE_PATH=/tmp
+
+## Specify a default upload limit in MB (whisper)
+# UPLOAD_LIMIT

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,31 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: bug
+assignees: mudler
+
+---
+
+<!-- Thanks for helping us to improve LocalAI! We welcome all bug reports. Please fill out each area of the template so we can better help you. Comments like this will be hidden when you post but you can delete them if you wish. -->
+
+**LocalAI version:**
+<!-- Container Image or LocalAI tag/commit -->
+
+**Environment, CPU architecture, OS, and Version:**
+<!-- Provide the output from "uname -a", HW specs, if it's a VM  -->
+
+**Describe the bug**
+<!-- A clear and concise description of what the bug is. -->
+
+**To Reproduce**
+<!-- Steps to reproduce the behavior, including the LocalAI command used, if any -->
+
+**Expected behavior**
+<!-- A clear and concise description of what you expected to happen. -->
+
+**Logs**
+<!-- If applicable, add logs while running LocalAI in debug mode (`--debug` or `DEBUG=true`) to help explain your problem.  -->
+
+**Additional context**
+<!-- Add any other context about the problem here. -->

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: false
+contact_links:
+  - name: Community Support
+    url: https://github.com/go-skynet/LocalAI/discussions
+    about: Please ask and answer questions here.
+  - name: Discord
+    url: https://discord.gg/uJAeKSAGDy
+    about: Join our community on Discord!

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,22 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: enhancement
+assignees: mudler
+
+---
+
+<!-- Thanks for helping us to improve LocalAI! We welcome all feature requests. Please fill out each area of the template so we can better help you. Comments like this will be hidden when you post but you can delete them if you wish. -->
+
+**Is your feature request related to a problem? Please describe.**
+<!-- A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]  -->
+
+**Describe the solution you'd like**
+<!-- A clear and concise description of what you want to happen.  -->
+
+**Describe alternatives you've considered**
+<!-- A clear and concise description of any alternative solutions or features you've considered.  -->
+
+**Additional context**
+<!-- Add any other context or screenshots about the feature request here. -->

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,23 @@
+**Description**
+
+This PR fixes #
+
+**Notes for Reviewers**
+
+
+**[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)**
+- [ ] Yes, I signed my commits.
+ 
+
+<!--
+Thank you for contributing to LocalAI! 
+
+Contributing Conventions:
+
+1. Include descriptive PR titles with [<component-name>] prepended.
+2. Build and test your changes before submitting a PR. 
+3. Sign your commits
+
+By following the community's contribution conventions upfront, the review process will 
+be accelerated and your PR merged more quickly.
+-->

.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/stale.yml

@@ -0,0 +1,18 @@
+# Number of days of inactivity before an issue becomes stale
+daysUntilStale: 45
+# Number of days of inactivity before a stale issue is closed
+daysUntilClose: 10
+# Issues with these labels will never be considered stale
+exemptLabels:
+  - issue/willfix
+# Label to use when marking an issue as stale
+staleLabel: issue/stale
+# Comment to post when marking an issue as stale. Set to `false` to disable
+markComment: >
+  This issue has been automatically marked as stale because it has not had
+  recent activity. It will be closed if no further activity occurs. Thank you
+  for your contributions.
+# Comment to post when closing a stale issue. Set to `false` to disable
+closeComment: >
+  This issue is being automatically closed due to inactivity.
+  However, you may choose to reopen this issue.

.github/workflows/bump_deps.yaml

@@ -9,18 +9,27 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - repository: "go-skynet/go-gpt4all-j.cpp"
-            variable: "GOGPT4ALLJ_VERSION"
-            branch: "master"
           - repository: "go-skynet/go-llama.cpp"
             variable: "GOLLAMA_VERSION"
             branch: "master"
-          - repository: "go-skynet/go-gpt2.cpp"
-            variable: "GOGPT2_VERSION"
+          - repository: "go-skynet/go-ggml-transformers.cpp"
+            variable: "GOGGMLTRANSFORMERS_VERSION"
             branch: "master"
           - repository: "donomii/go-rwkv.cpp"
             variable: "RWKV_VERSION"
             branch: "main"
+          - repository: "ggerganov/whisper.cpp"
+            variable: "WHISPER_CPP_VERSION"
+            branch: "master"
+          - repository: "go-skynet/go-bert.cpp"
+            variable: "BERT_VERSION"
+            branch: "master"
+          - repository: "go-skynet/bloomz.cpp"
+            variable: "BLOOMZ_VERSION"
+            branch: "main"
+          - repository: "nomic-ai/gpt4all"
+            variable: "GPT4ALL_VERSION"
+            branch: "main"
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3

.github/workflows/image.yml

@@ -9,6 +9,10 @@ on:
     tags:
       - '*'
 
+concurrency:
+  group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
 jobs:
   docker:
     runs-on: ubuntu-latest

.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: |
+          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 }}

.github/workflows/test.yml

@@ -9,6 +9,10 @@ on:
     tags:
       - '*'
 
+concurrency:
+  group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
 jobs:
   ubuntu-latest:
     runs-on: ubuntu-latest
@@ -21,7 +25,7 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential
+          sudo apt-get install build-essential ffmpeg
       - name: Test
         run: |
           make test
@@ -38,7 +42,7 @@ jobs:
       - name: Dependencies
         run: |
           brew update
-          brew install sdl2
+          brew install sdl2 ffmpeg
       - name: Test
         run: |
           make test

.gitignore

@@ -1,7 +1,13 @@
 # go-llama build artifacts
 go-llama
-go-gpt4all-j
+gpt4all
+go-stable-diffusion
+go-ggml-transformers
 go-gpt2
+go-rwkv
+whisper.cpp
+bloomz
+go-bert
 
 # LocalAI build binary
 LocalAI
@@ -11,4 +17,10 @@ local-ai
 
 # Ignore models
 models/*
-test-models/
+test-models/
+test-dir/
+
+release/
+
+# just in case
+.DS_Store

.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

@@ -2,7 +2,20 @@
     "version": "0.2.0",
     "configurations": [
         {
-            "name": "Launch Go",
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": false,
+            "cwd": "${workspaceFolder}/examples/langchain-chroma",
+            "env": {
+                "OPENAI_API_BASE": "http://localhost:8080/v1",
+                "OPENAI_API_KEY": "abc"
+            }
+        },
+        {
+            "name": "Launch LocalAI API",
             "type": "go",
             "request": "launch",
             "mode": "debug",
@@ -11,8 +24,8 @@
                 "api"
             ],
             "env": {
-                "C_INCLUDE_PATH": "/workspace/go-llama:/workspace/go-gpt4all-j:/workspace/go-gpt2",
-                "LIBRARY_PATH": "/workspace/go-llama:/workspace/go-gpt4all-j:/workspace/go-gpt2",
+                "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",
                 "DEBUG": "true"
             }
         }

Dockerfile

@@ -1,9 +1,94 @@
 ARG GO_VERSION=1.20
+
+FROM golang:$GO_VERSION as builder
+
 ARG BUILD_TYPE=
-FROM golang:$GO_VERSION
+ARG GO_TAGS=
+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>=${CUDA_MAJOR_VERSION}.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+ENV REBUILD=true
+
 WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
+
+RUN apt-get update && \
+    apt-get install -y ca-certificates cmake curl
+
+# CuBLAS requirements
+RUN if [ "${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:${PATH}
+
+# OpenBLAS requirements
+RUN apt-get install -y libopenblas-dev
+
+# Stable Diffusion requirements
+RUN apt-get install -y libopencv-dev && \
+    ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
+
+COPY . .
+RUN make build
+
+FROM golang:$GO_VERSION
+
+ARG BUILD_TYPE=
+ARG GO_TAGS=
+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>=${CUDA_MAJOR_VERSION}.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+
+ENV REBUILD=true
+
+WORKDIR /build
+
+RUN apt-get update && \
+    apt-get install -y ca-certificates cmake curl
+
+# CuBLAS requirements
+RUN if [ "${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 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

@@ -1,14 +0,0 @@
-ARG GO_VERSION=1.20
-ARG DEBIAN_VERSION=11
-ARG BUILD_TYPE=
-
-FROM golang:$GO_VERSION as builder
-WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
-COPY . .
-RUN make build
-
-FROM debian:$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

@@ -3,131 +3,239 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-GOLLAMA_VERSION?=2e6ae1269e035886fc64e268a6dda9d8c4ba8c75
-GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
-GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
+GOLLAMA_VERSION?=4bd3910005a593a6db237bc82c506d6d9fb81b18
+GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
+GPT4ALL_VERSION?=73db20ba85fbbdc66a56e2619394c0eea40dc72b
+GOGGMLTRANSFORMERS_VERSION?=695f97befe14f0107d8da1c11f5b84912e0754b6
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
-RWKV_VERSION?=af62fcc432be2847acb6e0688b2c2491d6588d58
+RWKV_VERSION?=ccb05c3e1c6efd098017d114dcb58ab3262b40b2
+WHISPER_CPP_VERSION?=9b926844e3ae0ca6a0d13573b2e0349be1a4b573
+BERT_VERSION?=cea1ed76a7f48ef386a8e369f6c82c48cdf2d551
+BLOOMZ_VERSION?=1834e77b83faafe912ad4092ccf7f77937349e2f
+BUILD_TYPE?=
+CGO_LDFLAGS?=
+CUDA_LIBPATH?=/usr/local/cuda/lib64/
+STABLEDIFFUSION_VERSION?=c0748eca3642d58bcf9521108bcee46959c647dc
+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-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
-LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
+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-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
 
-# Use this if you want to set the default behavior
-ifndef BUILD_TYPE
-	BUILD_TYPE:=default
+ifeq ($(BUILD_TYPE),openblas)
+	CGO_LDFLAGS+=-lopenblas
 endif
 
-ifeq ($(BUILD_TYPE), "generic")
-	GENERIC_PREFIX:=generic-
-else
-	GENERIC_PREFIX:=
+ifeq ($(BUILD_TYPE),cublas)
+	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
+	export LLAMA_CUBLAS=1
+endif
+
+ifeq ($(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
 
 .PHONY: all test build vendor
 
 all: help
 
-## GPT4ALL-J
-go-gpt4all-j:
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
-	cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION) && git submodule update --init --recursive --depth 1
+## 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 ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
+	@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/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 "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.go" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.txt" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/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:
+	git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp go-bert
+	cd go-bert && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
+	@find ./go-bert -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+	@find ./go-bert -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+	@find ./go-bert -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+
+## stable diffusion
+go-stable-diffusion:
+	git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion go-stable-diffusion
+	cd go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
+
+go-stable-diffusion/libstablediffusion.a:
+	$(MAKE) -C go-stable-diffusion libstablediffusion.a
 
 ## RWKV
 go-rwkv:
 	git clone --recurse-submodules $(RWKV_REPO) go-rwkv
 	cd go-rwkv && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
+	@find ./go-rwkv -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
+	@find ./go-rwkv -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
+	@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 ..
 
-go-gpt4all-j/libgptj.a: go-gpt4all-j
-	$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
+## bloomz
+bloomz:
+	git clone --recurse-submodules https://github.com/go-skynet/bloomz.cpp bloomz
+	@find ./bloomz -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
+	@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
+
+go-bert/libgobert.a: go-bert
+	$(MAKE) -C go-bert libgobert.a
+
+gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
+	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
 
 ## CEREBRAS GPT
-go-gpt2: 
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
-	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
+go-ggml-transformers: 
+	git clone --recurse-submodules https://github.com/go-skynet/go-ggml-transformers.cpp go-ggml-transformers
+	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-gpt2 -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-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.c" -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-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -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-ggml-transformers -type f -name "*.cpp" -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-ggml-transformers -type f -name "*.cpp" -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-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
 
-go-gpt2/libgpt2.a: go-gpt2
-	$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
+go-ggml-transformers/libtransformers.a: go-ggml-transformers
+	$(MAKE) -C go-ggml-transformers libtransformers.a
+
+whisper.cpp:
+	git clone https://github.com/ggerganov/whisper.cpp.git
+	cd whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
+	@find ./whisper.cpp -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+	@find ./whisper.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+	@find ./whisper.cpp -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+
+whisper.cpp/libwhisper.a: whisper.cpp
+	cd whisper.cpp && make libwhisper.a
 
 go-llama:
 	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
 	cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
 
 go-llama/libbinding.a: go-llama 
-	$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
+	$(MAKE) -C go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
 
 replace:
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
+	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-ggml-transformers.cpp=$(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: go-llama go-gpt2 go-gpt4all-j go-rwkv
+prepare-sources: 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 go-gpt4all-j clean
-	$(MAKE) -C go-gpt2 clean
+	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
+	$(MAKE) -C go-ggml-transformers clean
 	$(MAKE) -C go-rwkv clean
+	$(MAKE) -C whisper.cpp clean
+	$(MAKE) -C go-stable-diffusion clean
+	$(MAKE) -C go-bert clean
+	$(MAKE) -C bloomz clean
 	$(MAKE) build
 
-prepare: prepare-sources go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a go-rwkv/librwkv.a replace ## Prepares for building
+prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a $(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  ## Prepares for building
 
 clean: ## Remove build related file
 	rm -fr ./go-llama
-	rm -rf ./go-gpt4all-j
+	rm -rf ./gpt4all
 	rm -rf ./go-gpt2
+	rm -rf ./go-stable-diffusion
+	rm -rf ./go-ggml-transformers
 	rm -rf ./go-rwkv
+	rm -rf ./go-bert
+	rm -rf ./bloomz
+	rm -rf ./whisper.cpp
 	rm -rf $(BINARY_NAME)
+	rm -rf release/
 
 ## Build:
 
 build: prepare ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -o $(BINARY_NAME) ./
+	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -ldflags "$(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
-	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 ./main.go
 
 test-models/testmodel:
 	mkdir test-models
-	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
-	cp tests/fixtures/* test-models
+	mkdir test-dir
+	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/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 tests/fixtures/* test-models
-	@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) test -v -timeout 30m ./...
+	cp tests/models_fixtures/* test-models
+	C_INCLUDE_PATH=${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 --flakeAttempts 5 -v -r ./api ./pkg
 
 ## Help:
 help: ## Show this help.

README.md

@@ -9,86 +9,50 @@
 
 [![](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 compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware. 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) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is licensed under Apache 2.0.
+**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.
 
-- OpenAI compatible API
-- Supports multiple-models
+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://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
-- Support for prompt templates
-- Doesn't shell-out, but uses C bindings for a faster inference and better performance. 
+- 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!
 
-### News
+| [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)                  |
 
-- 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 )
 
-### Socials and community chatter
+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://github.com/go-skynet/model-gallery).
 
-- Follow [@LocalAI_API](https://twitter.com/LocalAI_API) on twitter.
+## News
 
-- [Reddit post](https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/) about LocalAI.
+- 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)!
+
+For latest news, follow also on Twitter [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
+
+## Contribute and help
+
+To help the project you can:
+
+- Upvote the [Reddit post](https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/) about LocalAI.
 
 - [Hacker news post](https://news.ycombinator.com/item?id=35726934) - help us out by voting if you like this project.
 
-- [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.
-
-## 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://github.com/nomic-ai/gpt4all)
-- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin)
-- 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)
-
-### Vicuna, Alpaca, LLaMa...
-
-[llama.cpp](https://github.com/ggerganov/llama.cpp) based models are compatible
-
-### GPT4ALL
-
-Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
-
-### GPT4ALL-J
-
-No changes required to the model.
-
-### 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 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.
+- If you have technological skills and want to contribute to development, have a look at the open issues. If you are new you can have a look at the [good-first-issue](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) and [help-wanted](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) labels.
 
+- 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!
 
 ## 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`:
+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
 
@@ -106,7 +70,9 @@ cp your-model.bin models/
 # vim .env
 
 # start with docker-compose
-docker-compose up -d --build
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
 
 # Now API is accessible at localhost:8080
 curl http://localhost:8080/v1/models
@@ -142,8 +108,9 @@ cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
 # vim .env
 
 # start with docker-compose
-docker-compose up -d --build
-
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
 # Now API is accessible at localhost:8080
 curl http://localhost:8080/v1/models
 # {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
@@ -158,186 +125,6 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 ```
 </details>
 
-To build locally, run `make build` (see below).
-
-### Other examples
-
-To see other examples on how to integrate with other projects for instance 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.
-
-</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. |
-
-</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 │ 
-└───────────────────────────────────────────────────┘ 
-```
-
-</details>
 
 ### Build locally
 
@@ -347,8 +134,8 @@ In order to build the `LocalAI` container image locally you can use `docker`:
 
 ```
 # build the image
-docker build -t LocalAI .
-docker run LocalAI
+docker build -t localai .
+docker run localai
 ```
 
 Or you can build the binary with `make`:
@@ -359,228 +146,19 @@ make build
 
 </details>
 
-### Build on mac
-
-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>
-
-### 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
+See the [build section](https://localai.io/basics/build/index.html) in our documentation for detailed instructions.
 
 ### 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
-    ```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>
+See the [list of the supported API endpoints](https://localai.io/api-endpoints/index.html) and how to configure image generation and audio transcription.
 
 ## Frequently asked questions
 
-Here are answers to some of the most 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>
-
-Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/llama.cpp/discussions/915.
-
-</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>
+See [the FAQ](https://localai.io/faq/index.html) section for a list of common questions.
 
 ## Projects already using LocalAI to run local models
 
@@ -588,11 +166,9 @@ 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)
-
-## Blog posts and other articles
-
-- https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65
-- https://kairos.io/docs/examples/localai/
+- [Spark](https://github.com/cedriking/spark)
+- [autogpt4all](https://github.com/aorumbayev/autogpt4all)
+- [Mods](https://github.com/charmbracelet/mods)
 
 ## Short-term roadmap
 
@@ -602,6 +178,9 @@ Feel free to open up a PR to get your project listed!
 - [x] Multi-model support
 - [x] Have a webUI!
 - [x] Allow configuration of defaults for models.
+- [x] Support for embeddings
+- [x] Support for audio transcription with https://github.com/ggerganov/whisper.cpp
+- [ ] GPU/CUDA support ( https://github.com/go-skynet/LocalAI/issues/69 )
 - [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models, directly from the webui.
 
 ## Star history
@@ -610,23 +189,25 @@ Feel free to open up a PR to get your project listed!
 
 ## License
 
-LocalAI is a community-driven project. It was initially created by [mudler](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)
-- [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)
-- [donomii/go-rwkv.cpp](https://github.com/donomii/go-rwkv.cpp)
+Ettore Di Giacinto and others
 
 ## Acknowledgements
 
+LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
+
 - [llama.cpp](https://github.com/ggerganov/llama.cpp)
 - https://github.com/tatsu-lab/stanford_alpaca
 - https://github.com/cornelk/llama-go for the initial ideas
-- https://github.com/antimatter15/alpaca.cpp for the light model version (this is compatible and tested only with that checkpoint model!)
+- https://github.com/antimatter15/alpaca.cpp
+- https://github.com/EdVince/Stable-Diffusion-NCNN
+- https://github.com/ggerganov/whisper.cpp
+- https://github.com/saharNooby/rwkv.cpp
 
 ## Contributors
 

api/api.go

@@ -3,23 +3,26 @@ package api
 import (
 	"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"
 	"github.com/gofiber/fiber/v2/middleware/recover"
 	"github.com/rs/zerolog"
 	"github.com/rs/zerolog/log"
 )
 
-func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *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{
-		DisableStartupMessage: disableMessage,
+		BodyLimit:             options.uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
+		DisableStartupMessage: options.disableMessage,
 		// Override default error handler
 		ErrorHandler: func(ctx *fiber.Ctx, err error) error {
 			// Status code defaults to 500
@@ -40,38 +43,100 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
 		},
 	})
 
-	cm := make(ConfigMerger)
-	if err := cm.LoadConfigs(loader.ModelPath); err != nil {
+	if options.debug {
+		app.Use(logger.New(logger.Config{
+			Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
+		}))
+	}
+
+	cm := NewConfigMerger()
+	if err := cm.LoadConfigs(options.loader.ModelPath); err != nil {
 		log.Error().Msgf("error loading config files: %s", err.Error())
 	}
 
-	if configFile != "" {
-		if err := cm.LoadConfigFile(configFile); err != nil {
+	if options.configFile != "" {
+		if err := cm.LoadConfigFile(options.configFile); err != nil {
 			log.Error().Msgf("error loading config file: %s", err.Error())
 		}
 	}
 
-	if debug {
-		for k, v := range cm {
-			log.Debug().Msgf("Model: %s (config: %+v)", k, v)
+	if options.debug {
+		for _, v := range cm.ListConfigs() {
+			cfg, _ := cm.GetConfig(v)
+			log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
 		}
 	}
 	// Default middleware config
 	app.Use(recover.New())
-	app.Use(cors.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(options.loader.ModelPath)
+	applier.start(options.context, cm)
+	app.Post("/models/apply", applyModelGallery(options.loader.ModelPath, cm, applier.C))
+	app.Get("/models/jobs/:uuid", getOpStatus(applier))
 
 	// openAI compatible API endpoint
-	app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
 
-	app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// chat
+	app.Post("/v1/chat/completions", chatEndpoint(cm, options))
+	app.Post("/chat/completions", chatEndpoint(cm, options))
 
-	app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// edit
+	app.Post("/v1/edits", editEndpoint(cm, options))
+	app.Post("/edits", editEndpoint(cm, options))
 
-	app.Get("/v1/models", listModels(loader, cm))
-	app.Get("/models", listModels(loader, cm))
+	// completion
+	app.Post("/v1/completions", completionEndpoint(cm, options))
+	app.Post("/completions", completionEndpoint(cm, options))
 
-	return app
+	// embeddings
+	app.Post("/v1/embeddings", embeddingsEndpoint(cm, options))
+	app.Post("/embeddings", embeddingsEndpoint(cm, options))
+	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, options))
+
+	// audio
+	app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, options))
+
+	// images
+	app.Post("/v1/images/generations", imageEndpoint(cm, options))
+
+	if options.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(options.loader, cm))
+	app.Get("/models", listModels(options.loader, cm))
+
+	return app, nil
 }

api/api_test.go

@@ -1,29 +1,207 @@
 package api_test
 
 import (
+	"bytes"
 	"context"
+	"encoding/json"
+	"fmt"
+	"io/ioutil"
+	"net/http"
 	"os"
+	"path/filepath"
+	"runtime"
 
 	. "github.com/go-skynet/LocalAI/api"
 	"github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
+	"gopkg.in/yaml.v3"
 
 	openaigo "github.com/otiai10/openaigo"
 	"github.com/sashabaranov/go-openai"
 )
 
+type modelApplyRequest struct {
+	URL       string            `json:"url"`
+	Name      string            `json:"name"`
+	Overrides map[string]string `json:"overrides"`
+}
+
+func getModelStatus(url string) (response map[string]interface{}) {
+	// Create the HTTP request
+	resp, err := http.Get(url)
+	if err != nil {
+		fmt.Println("Error creating request:", err)
+		return
+	}
+	defer resp.Body.Close()
+
+	body, err := ioutil.ReadAll(resp.Body)
+	if err != nil {
+		fmt.Println("Error reading response body:", err)
+		return
+	}
+
+	// Unmarshal the response into a map[string]interface{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		fmt.Println("Error unmarshaling JSON response:", err)
+		return
+	}
+	return
+}
+func postModelApplyRequest(url string, request modelApplyRequest) (response map[string]interface{}) {
+
+	//url := "http://localhost:AI/models/apply"
+
+	// Create the request payload
+
+	payload, err := json.Marshal(request)
+	if err != nil {
+		fmt.Println("Error marshaling JSON:", err)
+		return
+	}
+
+	// Create the HTTP request
+	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
+	if err != nil {
+		fmt.Println("Error creating request:", err)
+		return
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	// Make the request
+	client := &http.Client{}
+	resp, err := client.Do(req)
+	if err != nil {
+		fmt.Println("Error making request:", err)
+		return
+	}
+	defer resp.Body.Close()
+
+	body, err := ioutil.ReadAll(resp.Body)
+	if err != nil {
+		fmt.Println("Error reading response body:", err)
+		return
+	}
+
+	// Unmarshal the response into a map[string]interface{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		fmt.Println("Error unmarshaling JSON response:", err)
+		return
+	}
+	return
+}
+
 var _ = Describe("API test", func() {
 
 	var app *fiber.App
 	var modelLoader *model.ModelLoader
 	var client *openai.Client
 	var client2 *openaigo.Client
+	var c context.Context
+	var cancel context.CancelFunc
+	var tmpdir string
+
+	Context("API with ephemeral models", func() {
+		BeforeEach(func() {
+			var err error
+			tmpdir, err = os.MkdirTemp("", "")
+			Expect(err).ToNot(HaveOccurred())
+
+			modelLoader = model.NewModelLoader(tmpdir)
+			c, cancel = context.WithCancel(context.Background())
+
+			app, err = App(WithContext(c), WithModelLoader(modelLoader))
+			Expect(err).ToNot(HaveOccurred())
+			go app.Listen("127.0.0.1:9090")
+
+			defaultConfig := openai.DefaultConfig("")
+			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
+
+			client2 = openaigo.NewClient("")
+			client2.BaseURL = defaultConfig.BaseURL
+
+			// Wait for API to be ready
+			client = openai.NewClientWithConfig(defaultConfig)
+			Eventually(func() error {
+				_, err := client.ListModels(context.TODO())
+				return err
+			}, "2m").ShouldNot(HaveOccurred())
+		})
+
+		AfterEach(func() {
+			cancel()
+			app.Shutdown()
+			os.RemoveAll(tmpdir)
+		})
+
+		Context("Applying models", func() {
+			It("overrides models", func() {
+				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
+					URL:  "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
+					Name: "bert",
+					Overrides: map[string]string{
+						"backend": "llama",
+					},
+				})
+
+				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))
+
+				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
+				Expect(err).ToNot(HaveOccurred())
+
+				content := map[string]interface{}{}
+				err = yaml.Unmarshal(dat, &content)
+				Expect(err).ToNot(HaveOccurred())
+				Expect(content["backend"]).To(Equal("llama"))
+			})
+			It("apply models without overrides", func() {
+				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
+					URL:       "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
+					Name:      "bert",
+					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))
+
+				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
+				Expect(err).ToNot(HaveOccurred())
+
+				content := map[string]interface{}{}
+				err = yaml.Unmarshal(dat, &content)
+				Expect(err).ToNot(HaveOccurred())
+				Expect(content["backend"]).To(Equal("bert-embeddings"))
+			})
+		})
+	})
+
 	Context("API query", func() {
 		BeforeEach(func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App("", modelLoader, 1, 512, false, true, true)
+			c, cancel = context.WithCancel(context.Background())
+
+			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("")
@@ -40,13 +218,13 @@ var _ = Describe("API test", func() {
 			}, "2m").ShouldNot(HaveOccurred())
 		})
 		AfterEach(func() {
+			cancel()
 			app.Shutdown()
 		})
 		It("returns the models list", func() {
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(3))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(10))
 		})
 		It("can generate completions", func() {
 			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
@@ -79,15 +257,71 @@ 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: 5 errors occurred:"))
+			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
+		})
+		It("transcribes audio", func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			resp, err := client.CreateTranscription(
+				context.Background(),
+				openai.AudioRequest{
+					Model:    openai.Whisper1,
+					FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
 		})
 
+		It("calculate embeddings", func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			resp, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun", "cat"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
+			Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
+
+			sunEmbedding := resp.Data[0].Embedding
+			resp2, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
+		})
+
+		Context("backends", func() {
+			It("runs rwkv", func() {
+				if runtime.GOOS != "linux" {
+					Skip("test supported only on linux")
+				}
+				resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,"})
+				Expect(err).ToNot(HaveOccurred())
+				Expect(len(resp.Choices) > 0).To(BeTrue())
+				Expect(resp.Choices[0].Text).To(Equal(" five."))
+			})
+		})
 	})
 
 	Context("Config file", func() {
 		BeforeEach(func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App(os.Getenv("CONFIG_FILE"), modelLoader, 1, 512, false, true, true)
+			c, cancel = context.WithCancel(context.Background())
+
+			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("")
@@ -102,14 +336,13 @@ var _ = Describe("API test", func() {
 			}, "2m").ShouldNot(HaveOccurred())
 		})
 		AfterEach(func() {
+			cancel()
 			app.Shutdown()
 		})
 		It("can generate chat completions from config file", func() {
-
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(5))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(12))
 		})
 		It("can generate chat completions from config file", func() {
 			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
@@ -134,5 +367,6 @@ var _ = Describe("API test", func() {
 			Expect(len(resp.Choices)).To(Equal(1))
 			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
 		})
+
 	})
 })

api/config.go

@@ -1,28 +1,45 @@
 package api
 
 import (
+	"encoding/json"
 	"fmt"
 	"io/ioutil"
 	"os"
 	"path/filepath"
 	"strings"
+	"sync"
 
+	model "github.com/go-skynet/LocalAI/pkg/model"
+	"github.com/gofiber/fiber/v2"
+	"github.com/rs/zerolog/log"
 	"gopkg.in/yaml.v3"
 )
 
 type Config struct {
-	OpenAIRequest  `yaml:"parameters"`
-	Name           string            `yaml:"name"`
-	StopWords      []string          `yaml:"stopwords"`
-	Cutstrings     []string          `yaml:"cutstrings"`
-	TrimSpace      []string          `yaml:"trimspace"`
-	ContextSize    int               `yaml:"context_size"`
-	F16            bool              `yaml:"f16"`
-	Threads        int               `yaml:"threads"`
-	Debug          bool              `yaml:"debug"`
-	Roles          map[string]string `yaml:"roles"`
-	Backend        string            `yaml:"backend"`
-	TemplateConfig TemplateConfig    `yaml:"template"`
+	OpenAIRequest         `yaml:"parameters"`
+	Name                  string            `yaml:"name"`
+	StopWords             []string          `yaml:"stopwords"`
+	Cutstrings            []string          `yaml:"cutstrings"`
+	TrimSpace             []string          `yaml:"trimspace"`
+	ContextSize           int               `yaml:"context_size"`
+	F16                   bool              `yaml:"f16"`
+	Threads               int               `yaml:"threads"`
+	Debug                 bool              `yaml:"debug"`
+	Roles                 map[string]string `yaml:"roles"`
+	Embeddings            bool              `yaml:"embeddings"`
+	Backend               string            `yaml:"backend"`
+	TemplateConfig        TemplateConfig    `yaml:"template"`
+	MirostatETA           float64           `yaml:"mirostat_eta"`
+	MirostatTAU           float64           `yaml:"mirostat_tau"`
+	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
 }
 
 type TemplateConfig struct {
@@ -31,8 +48,16 @@ type TemplateConfig struct {
 	Edit       string `yaml:"edit"`
 }
 
-type ConfigMerger map[string]Config
+type ConfigMerger struct {
+	configs map[string]Config
+	sync.Mutex
+}
 
+func NewConfigMerger() *ConfigMerger {
+	return &ConfigMerger{
+		configs: make(map[string]Config),
+	}
+}
 func ReadConfigFile(file string) ([]*Config, error) {
 	c := &[]*Config{}
 	f, err := os.ReadFile(file)
@@ -60,28 +85,51 @@ func ReadConfig(file string) (*Config, error) {
 }
 
 func (cm ConfigMerger) LoadConfigFile(file string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	c, err := ReadConfigFile(file)
 	if err != nil {
 		return fmt.Errorf("cannot load config file: %w", err)
 	}
 
 	for _, cc := range c {
-		cm[cc.Name] = *cc
+		cm.configs[cc.Name] = *cc
 	}
 	return nil
 }
 
 func (cm ConfigMerger) LoadConfig(file string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	c, err := ReadConfig(file)
 	if err != nil {
 		return fmt.Errorf("cannot read config file: %w", err)
 	}
 
-	cm[c.Name] = *c
+	cm.configs[c.Name] = *c
 	return nil
 }
 
+func (cm ConfigMerger) GetConfig(m string) (Config, bool) {
+	cm.Lock()
+	defer cm.Unlock()
+	v, exists := cm.configs[m]
+	return v, exists
+}
+
+func (cm ConfigMerger) ListConfigs() []string {
+	cm.Lock()
+	defer cm.Unlock()
+	var res []string
+	for k := range cm.configs {
+		res = append(res, k)
+	}
+	return res
+}
+
 func (cm ConfigMerger) LoadConfigs(path string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	files, err := ioutil.ReadDir(path)
 	if err != nil {
 		return err
@@ -94,9 +142,192 @@ func (cm ConfigMerger) LoadConfigs(path string) error {
 		}
 		c, err := ReadConfig(filepath.Join(path, file.Name()))
 		if err == nil {
-			cm[c.Name] = *c
+			cm.configs[c.Name] = *c
 		}
 	}
 
 	return nil
 }
+
+func updateConfig(config *Config, input *OpenAIRequest) {
+	if input.Echo {
+		config.Echo = input.Echo
+	}
+	if input.TopK != 0 {
+		config.TopK = input.TopK
+	}
+	if input.TopP != 0 {
+		config.TopP = input.TopP
+	}
+
+	if input.Temperature != 0 {
+		config.Temperature = input.Temperature
+	}
+
+	if input.Maxtokens != 0 {
+		config.Maxtokens = input.Maxtokens
+	}
+
+	switch stop := input.Stop.(type) {
+	case string:
+		if stop != "" {
+			config.StopWords = append(config.StopWords, stop)
+		}
+	case []interface{}:
+		for _, pp := range stop {
+			if s, ok := pp.(string); ok {
+				config.StopWords = append(config.StopWords, s)
+			}
+		}
+	}
+
+	if input.RepeatPenalty != 0 {
+		config.RepeatPenalty = input.RepeatPenalty
+	}
+
+	if input.Keep != 0 {
+		config.Keep = input.Keep
+	}
+
+	if input.Batch != 0 {
+		config.Batch = input.Batch
+	}
+
+	if input.F16 {
+		config.F16 = input.F16
+	}
+
+	if input.IgnoreEOS {
+		config.IgnoreEOS = input.IgnoreEOS
+	}
+
+	if input.Seed != 0 {
+		config.Seed = input.Seed
+	}
+
+	if input.Mirostat != 0 {
+		config.Mirostat = input.Mirostat
+	}
+
+	if input.MirostatETA != 0 {
+		config.MirostatETA = input.MirostatETA
+	}
+
+	if input.MirostatTAU != 0 {
+		config.MirostatTAU = input.MirostatTAU
+	}
+
+	switch inputs := input.Input.(type) {
+	case string:
+		if inputs != "" {
+			config.InputStrings = append(config.InputStrings, inputs)
+		}
+	case []interface{}:
+		for _, pp := range inputs {
+			switch i := pp.(type) {
+			case string:
+				config.InputStrings = append(config.InputStrings, i)
+			case []interface{}:
+				tokens := []int{}
+				for _, ii := range i {
+					tokens = append(tokens, int(ii.(float64)))
+				}
+				config.InputToken = append(config.InputToken, tokens)
+			}
+		}
+	}
+
+	switch p := input.Prompt.(type) {
+	case string:
+		config.PromptStrings = append(config.PromptStrings, p)
+	case []interface{}:
+		for _, pp := range p {
+			if s, ok := pp.(string); ok {
+				config.PromptStrings = append(config.PromptStrings, s)
+			}
+		}
+	}
+}
+func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (string, *OpenAIRequest, error) {
+	input := new(OpenAIRequest)
+	// Get input data from the request body
+	if err := c.BodyParser(input); err != nil {
+		return "", nil, err
+	}
+
+	modelFile := input.Model
+
+	if c.Params("model") != "" {
+		modelFile = c.Params("model")
+	}
+
+	received, _ := json.Marshal(input)
+
+	log.Debug().Msgf("Request received: %s", string(received))
+
+	// Set model from bearer token, if available
+	bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
+	bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
+
+	// If no model was specified, take the first available
+	if modelFile == "" && !bearerExists && randomModel {
+		models, _ := loader.ListModels()
+		if len(models) > 0 {
+			modelFile = models[0]
+			log.Debug().Msgf("No model specified, using: %s", modelFile)
+		} else {
+			log.Debug().Msgf("No model specified, returning error")
+			return "", nil, fmt.Errorf("no model specified")
+		}
+	}
+
+	// If a model is found in bearer token takes precedence
+	if bearerExists {
+		log.Debug().Msgf("Using model from bearer token: %s", bearer)
+		modelFile = bearer
+	}
+	return modelFile, input, nil
+}
+
+func readConfig(modelFile string, input *OpenAIRequest, cm *ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
+	// Load a config file if present after the model name
+	modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
+	if _, err := os.Stat(modelConfig); err == nil {
+		if err := cm.LoadConfig(modelConfig); err != nil {
+			return nil, nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
+		}
+	}
+
+	var config *Config
+	cfg, exists := cm.GetConfig(modelFile)
+	if !exists {
+		config = &Config{
+			OpenAIRequest: defaultRequest(modelFile),
+			ContextSize:   ctx,
+			Threads:       threads,
+			F16:           f16,
+			Debug:         debug,
+		}
+	} else {
+		config = &cfg
+	}
+
+	// Set the parameters for the language model prediction
+	updateConfig(config, input)
+
+	// Don't allow 0 as setting
+	if config.Threads == 0 {
+		if threads != 0 {
+			config.Threads = threads
+		} else {
+			config.Threads = 4
+		}
+	}
+
+	// Enforce debug flag if passed from CLI
+	if debug {
+		config.Debug = true
+	}
+
+	return config, input, nil
+}

api/config_test.go

@@ -0,0 +1,27 @@
+package api
+
+import (
+	"os"
+
+	. "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(len(config)).To(Equal(2))
+		})
+
+	})
+})

api/gallery.go

@@ -0,0 +1,233 @@
+package api
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"io/ioutil"
+	"net/http"
+	"net/url"
+	"os"
+	"strings"
+	"sync"
+
+	"github.com/go-skynet/LocalAI/pkg/gallery"
+	"github.com/gofiber/fiber/v2"
+	"github.com/google/uuid"
+	"gopkg.in/yaml.v3"
+)
+
+type galleryOp struct {
+	req ApplyGalleryModelRequest
+	id  string
+}
+
+type galleryOpStatus struct {
+	Error     error  `json:"error"`
+	Processed bool   `json:"processed"`
+	Message   string `json:"message"`
+}
+
+type galleryApplier struct {
+	modelPath string
+	sync.Mutex
+	C        chan galleryOp
+	statuses map[string]*galleryOpStatus
+}
+
+func newGalleryApplier(modelPath string) *galleryApplier {
+	return &galleryApplier{
+		modelPath: modelPath,
+		C:         make(chan galleryOp),
+		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()
+	g.statuses[s] = op
+}
+
+func (g *galleryApplier) getstatus(s string) *galleryOpStatus {
+	g.Lock()
+	defer g.Unlock()
+
+	return g.statuses[s]
+}
+
+func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
+	go func() {
+		for {
+			select {
+			case <-c.Done():
+				return
+			case op := <-g.C:
+				g.updatestatus(op.id, &galleryOpStatus{Message: "processing"})
+
+				updateError := func(e error) {
+					g.updatestatus(op.id, &galleryOpStatus{Error: e, Processed: true})
+				}
+
+				if err := applyGallery(g.modelPath, op.req, cm); err != nil {
+					updateError(err)
+					continue
+				}
+
+				g.updatestatus(op.id, &galleryOpStatus{Processed: true, Message: "completed"})
+			}
+		}
+	}()
+}
+
+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 {
+	URL             string                 `json:"url"`
+	Name            string                 `json:"name"`
+	Overrides       map[string]interface{} `json:"overrides"`
+	AdditionalFiles []gallery.File         `json:"files"`
+}
+
+const (
+	githubURI = "github:"
+)
+
+func (request ApplyGalleryModelRequest) DecodeURL() (string, error) {
+	input := request.URL
+	var rawURL string
+
+	if strings.HasPrefix(input, githubURI) {
+		parts := strings.Split(input, ":")
+		repoParts := strings.Split(parts[1], "@")
+		branch := "main"
+
+		if len(repoParts) > 1 {
+			branch = repoParts[1]
+		}
+
+		repoPath := strings.Split(repoParts[0], "/")
+		org := repoPath[0]
+		project := repoPath[1]
+		projectPath := strings.Join(repoPath[2:], "/")
+
+		rawURL = fmt.Sprintf("https://raw.githubusercontent.com/%s/%s/%s/%s", org, project, branch, projectPath)
+	} else if strings.HasPrefix(input, "http://") || strings.HasPrefix(input, "https://") {
+		// Handle regular URLs
+		u, err := url.Parse(input)
+		if err != nil {
+			return "", fmt.Errorf("invalid URL: %w", err)
+		}
+		rawURL = u.String()
+	} else {
+		return "", fmt.Errorf("invalid URL format")
+	}
+
+	return rawURL, nil
+}
+
+func getOpStatus(g *galleryApplier) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+
+		status := g.getstatus(c.Params("uuid"))
+		if status == nil {
+			return fmt.Errorf("could not find any status for ID")
+		}
+
+		return c.JSON(status)
+	}
+}
+
+func applyModelGallery(modelPath string, cm *ConfigMerger, g chan galleryOp) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		input := new(ApplyGalleryModelRequest)
+		// Get input data from the request body
+		if err := c.BodyParser(input); err != nil {
+			return err
+		}
+
+		uuid, err := uuid.NewUUID()
+		if err != nil {
+			return err
+		}
+		g <- galleryOp{
+			req: *input,
+			id:  uuid.String(),
+		}
+		return c.JSON(struct {
+			ID        string `json:"uuid"`
+			StatusURL string `json:"status"`
+		}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
+	}
+}

api/gallery_test.go

@@ -0,0 +1,30 @@
+package api_test
+
+import (
+	. "github.com/go-skynet/LocalAI/api"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Gallery API tests", func() {
+	Context("requests", func() {
+		It("parses github with a branch", func() {
+			req := ApplyGalleryModelRequest{URL: "github:go-skynet/model-gallery/gpt4all-j.yaml@main"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+		It("parses github without a branch", func() {
+			req := ApplyGalleryModelRequest{URL: "github:go-skynet/model-gallery/gpt4all-j.yaml"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+		It("parses URLS", func() {
+			req := ApplyGalleryModelRequest{URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+	})
+})

api/openai.go

@@ -3,13 +3,22 @@ package api
 import (
 	"bufio"
 	"bytes"
+	"encoding/base64"
 	"encoding/json"
 	"fmt"
+	"io"
+	"io/ioutil"
+	"net/http"
 	"os"
+	"path"
 	"path/filepath"
+	"strconv"
 	"strings"
 
+	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
 	model "github.com/go-skynet/LocalAI/pkg/model"
+	whisperutil "github.com/go-skynet/LocalAI/pkg/whisper"
+	llama "github.com/go-skynet/go-llama.cpp"
 	"github.com/gofiber/fiber/v2"
 	"github.com/rs/zerolog/log"
 	"github.com/valyala/fasthttp"
@@ -33,13 +42,25 @@ type OpenAIUsage struct {
 	TotalTokens      int `json:"total_tokens"`
 }
 
+type Item struct {
+	Embedding []float32 `json:"embedding"`
+	Index     int       `json:"index"`
+	Object    string    `json:"object,omitempty"`
+
+	// Images
+	URL     string `json:"url,omitempty"`
+	B64JSON string `json:"b64_json,omitempty"`
+}
+
 type OpenAIResponse struct {
-	Created int         `json:"created,omitempty"`
-	Object  string      `json:"object,omitempty"`
-	ID      string      `json:"id,omitempty"`
-	Model   string      `json:"model,omitempty"`
-	Choices []Choice    `json:"choices,omitempty"`
-	Usage   OpenAIUsage `json:"usage"`
+	Created int      `json:"created,omitempty"`
+	Object  string   `json:"object,omitempty"`
+	ID      string   `json:"id,omitempty"`
+	Model   string   `json:"model,omitempty"`
+	Choices []Choice `json:"choices,omitempty"`
+	Data    []Item   `json:"data,omitempty"`
+
+	Usage OpenAIUsage `json:"usage"`
 }
 
 type Choice struct {
@@ -63,12 +84,19 @@ type OpenAIModel struct {
 type OpenAIRequest struct {
 	Model string `json:"model" yaml:"model"`
 
-	// Prompt is read only by completion API calls
+	// whisper
+	File     string `json:"file" validate:"required"`
+	Language string `json:"language"`
+	//whisper/image
+	ResponseFormat string `json:"response_format"`
+	// image
+	Size string `json:"size"`
+	// Prompt is read only by completion/image API calls
 	Prompt interface{} `json:"prompt" yaml:"prompt"`
 
 	// Edit endpoint
-	Instruction string `json:"instruction" yaml:"instruction"`
-	Input       string `json:"input" yaml:"input"`
+	Instruction string      `json:"instruction" yaml:"instruction"`
+	Input       interface{} `json:"input" yaml:"input"`
 
 	Stop interface{} `json:"stop" yaml:"stop"`
 
@@ -92,7 +120,15 @@ type OpenAIRequest struct {
 	RepeatPenalty float64 `json:"repeat_penalty" yaml:"repeat_penalty"`
 	Keep          int     `json:"n_keep" yaml:"n_keep"`
 
+	MirostatETA float64 `json:"mirostat_eta" yaml:"mirostat_eta"`
+	MirostatTAU float64 `json:"mirostat_tau" yaml:"mirostat_tau"`
+	Mirostat    int     `json:"mirostat" yaml:"mirostat"`
+
 	Seed int `json:"seed" yaml:"seed"`
+
+	// Image (not supported by OpenAI)
+	Mode int `json:"mode"`
+	Step int `json:"step"`
 }
 
 func defaultRequest(modelFile string) OpenAIRequest {
@@ -105,158 +141,22 @@ func defaultRequest(modelFile string) OpenAIRequest {
 	}
 }
 
-func updateConfig(config *Config, input *OpenAIRequest) {
-	if input.Echo {
-		config.Echo = input.Echo
-	}
-	if input.TopK != 0 {
-		config.TopK = input.TopK
-	}
-	if input.TopP != 0 {
-		config.TopP = input.TopP
-	}
-
-	if input.Temperature != 0 {
-		config.Temperature = input.Temperature
-	}
-
-	if input.Maxtokens != 0 {
-		config.Maxtokens = input.Maxtokens
-	}
-
-	switch stop := input.Stop.(type) {
-	case string:
-		if stop != "" {
-			config.StopWords = append(config.StopWords, stop)
-		}
-	case []interface{}:
-		for _, pp := range stop {
-			if s, ok := pp.(string); ok {
-				config.StopWords = append(config.StopWords, s)
-			}
-		}
-	}
-
-	if input.RepeatPenalty != 0 {
-		config.RepeatPenalty = input.RepeatPenalty
-	}
-
-	if input.Keep != 0 {
-		config.Keep = input.Keep
-	}
-
-	if input.Batch != 0 {
-		config.Batch = input.Batch
-	}
-
-	if input.F16 {
-		config.F16 = input.F16
-	}
-
-	if input.IgnoreEOS {
-		config.IgnoreEOS = input.IgnoreEOS
-	}
-
-	if input.Seed != 0 {
-		config.Seed = input.Seed
-	}
-}
-
-func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
-	input := new(OpenAIRequest)
-	// Get input data from the request body
-	if err := c.BodyParser(input); err != nil {
-		return nil, nil, err
-	}
-
-	modelFile := input.Model
-	received, _ := json.Marshal(input)
-
-	log.Debug().Msgf("Request received: %s", string(received))
-
-	// Set model from bearer token, if available
-	bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
-	bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
-
-	// If no model was specified, take the first available
-	if modelFile == "" && !bearerExists {
-		models, _ := loader.ListModels()
-		if len(models) > 0 {
-			modelFile = models[0]
-			log.Debug().Msgf("No model specified, using: %s", modelFile)
-		} else {
-			log.Debug().Msgf("No model specified, returning error")
-			return nil, nil, fmt.Errorf("no model specified")
-		}
-	}
-
-	// If a model is found in bearer token takes precedence
-	if bearerExists {
-		log.Debug().Msgf("Using model from bearer token: %s", bearer)
-		modelFile = bearer
-	}
-
-	// Load a config file if present after the model name
-	modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
-	if _, err := os.Stat(modelConfig); err == nil {
-		if err := cm.LoadConfig(modelConfig); err != nil {
-			return nil, nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
-		}
-	}
-
-	var config *Config
-	cfg, exists := cm[modelFile]
-	if !exists {
-		config = &Config{
-			OpenAIRequest: defaultRequest(modelFile),
-		}
-	} else {
-		config = &cfg
-	}
-
-	// Set the parameters for the language model prediction
-	updateConfig(config, input)
-
-	if threads != 0 {
-		config.Threads = threads
-	}
-	if ctx != 0 {
-		config.ContextSize = ctx
-	}
-	if f16 {
-		config.F16 = true
-	}
-
-	if debug {
-		config.Debug = true
-	}
-
-	return config, input, nil
-}
-
 // 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 {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+
+		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, 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)
 
-		predInput := []string{}
-
-		switch p := input.Prompt.(type) {
-		case string:
-			predInput = append(predInput, p)
-		case []interface{}:
-			for _, pp := range p {
-				if s, ok := pp.(string); ok {
-					predInput = append(predInput, s)
-				}
-			}
-		}
-
 		templateFile := config.Model
 
 		if config.TemplateConfig.Completion != "" {
@@ -264,9 +164,9 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 		}
 
 		var result []Choice
-		for _, i := range predInput {
+		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 {
@@ -274,7 +174,7 @@ 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 {
@@ -298,13 +198,78 @@ func completionEndpoint(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 {
+// https://platform.openai.com/docs/api-reference/embeddings
+func embeddingsEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	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, 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)
+		items := []Item{}
+
+		for i, s := range config.InputToken {
+			// get the model function to call for the result
+			embedFn, err := ModelEmbedding("", s, o.loader, *config)
+			if err != nil {
+				return err
+			}
+
+			embeddings, err := embedFn()
+			if err != nil {
+				return err
+			}
+			items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
+		}
+
+		for i, s := range config.InputStrings {
+			// get the model function to call for the result
+			embedFn, err := ModelEmbedding(s, []int{}, o.loader, *config)
+			if err != nil {
+				return err
+			}
+
+			embeddings, err := embedFn()
+			if err != nil {
+				return err
+			}
+			items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
+		}
+
+		resp := &OpenAIResponse{
+			Model:  input.Model, // we have to return what the user sent here, due to OpenAI spec.
+			Data:   items,
+			Object: "list",
+		}
+
+		jsonResult, _ := json.Marshal(resp)
+		log.Debug().Msgf("Response: %s", jsonResult)
+
+		// Return the prediction in the response body
+		return c.JSON(resp)
+	}
+}
+
+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)
@@ -315,7 +280,12 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		close(responses)
 	}
 	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+		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, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -326,12 +296,14 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 
 		mess := []string{}
 		for _, i := range input.Messages {
+			var content string
 			r := config.Roles[i.Role]
-			if r == "" {
-				r = i.Role
+			if r != "" {
+				content = fmt.Sprint(r, " ", i.Content)
+			} else {
+				content = i.Content
 			}
 
-			content := fmt.Sprint(r, " ", i.Content)
 			mess = append(mess, content)
 		}
 
@@ -354,7 +326,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		}
 
 		// 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 {
@@ -365,7 +337,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		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) {
 
@@ -374,13 +346,11 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 					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"}},
@@ -388,12 +358,13 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 				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 {
@@ -413,37 +384,46 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 	}
 }
 
-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 {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+		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, 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)
 
-		predInput := input.Input
 		templateFile := config.Model
 
 		if config.TemplateConfig.Edit != "" {
 			templateFile = config.TemplateConfig.Edit
 		}
 
-		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		templatedInput, err := loader.TemplatePrefix(templateFile, struct {
-			Input       string
-			Instruction string
-		}{Input: predInput, Instruction: input.Instruction})
-		if err == nil {
-			predInput = templatedInput
-			log.Debug().Msgf("Template found, input modified to: %s", predInput)
-		}
+		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 := o.loader.TemplatePrefix(templateFile, struct {
+				Input       string
+				Instruction string
+			}{Input: i})
+			if err == nil {
+				i = templatedInput
+				log.Debug().Msgf("Template found, input modified to: %s", i)
+			}
 
-		result, err := ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {
-			*c = append(*c, Choice{Text: s})
-		}, nil)
-		if err != nil {
-			return err
+			r, err := ComputeChoices(i, input, config, o.loader, func(s string, c *[]Choice) {
+				*c = append(*c, Choice{Text: s})
+			}, nil)
+			if err != nil {
+				return err
+			}
+
+			result = append(result, r...)
 		}
 
 		resp := &OpenAIResponse{
@@ -460,7 +440,214 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 	}
 }
 
-func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx) error {
+// https://platform.openai.com/docs/api-reference/images/create
+
+/*
+*
+
+	curl http://localhost:8080/v1/images/generations \
+	  -H "Content-Type: application/json" \
+	  -d '{
+	    "prompt": "A cute baby sea otter",
+	    "n": 1,
+	    "size": "512x512"
+	  }'
+
+*
+*/
+func imageEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		m, input, err := readInput(c, o.loader, false)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		if m == "" {
+			m = model.StableDiffusionBackend
+		}
+		log.Debug().Msgf("Loading model: %+v", m)
+
+		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)
+		}
+
+		log.Debug().Msgf("Parameter Config: %+v", config)
+
+		// XXX: Only stablediffusion is supported for now
+		if config.Backend == "" {
+			config.Backend = model.StableDiffusionBackend
+		}
+
+		sizeParts := strings.Split(input.Size, "x")
+		if len(sizeParts) != 2 {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+		width, err := strconv.Atoi(sizeParts[0])
+		if err != nil {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+		height, err := strconv.Atoi(sizeParts[1])
+		if err != nil {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+
+		b64JSON := false
+		if input.ResponseFormat == "b64_json" {
+			b64JSON = true
+		}
+
+		var result []Item
+		for _, i := range config.PromptStrings {
+			n := input.N
+			if input.N == 0 {
+				n = 1
+			}
+			for j := 0; j < n; j++ {
+				prompts := strings.Split(i, "|")
+				positive_prompt := prompts[0]
+				negative_prompt := ""
+				if len(prompts) > 1 {
+					negative_prompt = prompts[1]
+				}
+
+				mode := 0
+				step := 15
+
+				if input.Mode != 0 {
+					mode = input.Mode
+				}
+
+				if input.Step != 0 {
+					step = input.Step
+				}
+
+				tempDir := ""
+				if !b64JSON {
+					tempDir = o.imageDir
+				}
+				// Create a temporary file
+				outputFile, err := ioutil.TempFile(tempDir, "b64")
+				if err != nil {
+					return err
+				}
+				outputFile.Close()
+				output := outputFile.Name() + ".png"
+				// Rename the temporary file
+				err = os.Rename(outputFile.Name(), output)
+				if err != nil {
+					return err
+				}
+
+				baseURL := c.BaseURL()
+
+				fn, err := ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, o.loader, *config)
+				if err != nil {
+					return err
+				}
+				if err := fn(); err != nil {
+					return err
+				}
+
+				item := &Item{}
+
+				if b64JSON {
+					defer os.RemoveAll(output)
+					data, err := os.ReadFile(output)
+					if err != nil {
+						return err
+					}
+					item.B64JSON = base64.StdEncoding.EncodeToString(data)
+				} else {
+					base := filepath.Base(output)
+					item.URL = baseURL + "/generated-images/" + base
+				}
+
+				result = append(result, *item)
+			}
+		}
+
+		resp := &OpenAIResponse{
+			Data: result,
+		}
+
+		jsonResult, _ := json.Marshal(resp)
+		log.Debug().Msgf("Response: %s", jsonResult)
+
+		// Return the prediction in the response body
+		return c.JSON(resp)
+	}
+}
+
+// https://platform.openai.com/docs/api-reference/audio/create
+func transcriptEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		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, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+		// retrieve the file data from the request
+		file, err := c.FormFile("file")
+		if err != nil {
+			return err
+		}
+		f, err := file.Open()
+		if err != nil {
+			return err
+		}
+		defer f.Close()
+
+		dir, err := os.MkdirTemp("", "whisper")
+
+		if err != nil {
+			return err
+		}
+		defer os.RemoveAll(dir)
+
+		dst := filepath.Join(dir, path.Base(file.Filename))
+		dstFile, err := os.Create(dst)
+		if err != nil {
+			return err
+		}
+
+		if _, err := io.Copy(dstFile, f); err != nil {
+			log.Debug().Msgf("Audio file copying error %+v - %+v - err %+v", file.Filename, dst, err)
+			return err
+		}
+
+		log.Debug().Msgf("Audio file copied to: %+v", dst)
+
+		whisperModel, err := o.loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
+		if err != nil {
+			return err
+		}
+
+		if whisperModel == nil {
+			return fmt.Errorf("could not load whisper model")
+		}
+
+		w, ok := whisperModel.(whisper.Model)
+		if !ok {
+			return fmt.Errorf("loader returned non-whisper object")
+		}
+
+		tr, err := whisperutil.Transcript(w, dst, input.Language, uint(config.Threads))
+		if err != nil {
+			return err
+		}
+
+		log.Debug().Msgf("Trascribed: %+v", tr)
+		// TODO: handle different outputs here
+		return c.Status(http.StatusOK).JSON(fiber.Map{"text": tr})
+	}
+}
+
+func listModels(loader *model.ModelLoader, cm *ConfigMerger) func(ctx *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		models, err := loader.ListModels()
 		if err != nil {
@@ -474,7 +661,7 @@ func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx)
 			dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
 		}
 
-		for k := range cm {
+		for _, k := range cm.ListConfigs() {
 			if _, exists := mm[k]; !exists {
 				dataModels = append(dataModels, OpenAIModel{ID: k, Object: "model"})
 			}

api/options.go

@@ -0,0 +1,121 @@
+package api
+
+import (
+	"context"
+
+	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
+}
+
+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 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

@@ -2,107 +2,27 @@ package api
 
 import (
 	"fmt"
+	"os"
+	"path/filepath"
 	"regexp"
 	"strings"
 	"sync"
 
 	"github.com/donomii/go-rwkv.cpp"
 	model "github.com/go-skynet/LocalAI/pkg/model"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
+	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	"github.com/go-skynet/bloomz.cpp"
+	bert "github.com/go-skynet/go-bert.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"
 )
 
-const tokenizerSuffix = ".tokenizer.json"
-
 // mutex still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
 var mutexMap sync.Mutex
 var mutexes map[string]*sync.Mutex = make(map[string]*sync.Mutex)
 
-var loadedModels map[string]interface{} = map[string]interface{}{}
-var muModels sync.Mutex
-
-func backendLoader(backendString string, loader *model.ModelLoader, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	switch strings.ToLower(backendString) {
-	case "llama":
-		return loader.LoadLLaMAModel(modelFile, llamaOpts...)
-	case "stablelm":
-		return loader.LoadStableLMModel(modelFile)
-	case "gpt2":
-		return loader.LoadGPT2Model(modelFile)
-	case "gptj":
-		return loader.LoadGPTJModel(modelFile)
-	case "rwkv":
-		return loader.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	default:
-		return nil, fmt.Errorf("backend unsupported: %s", backendString)
-	}
-}
-
-func greedyLoader(loader *model.ModelLoader, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	updateModels := func(model interface{}) {
-		muModels.Lock()
-		defer muModels.Unlock()
-		loadedModels[modelFile] = model
-	}
-
-	muModels.Lock()
-	m, exists := loadedModels[modelFile]
-	if exists {
-		muModels.Unlock()
-		return m, nil
-	}
-	muModels.Unlock()
-
-	model, modelerr := loader.LoadLLaMAModel(modelFile, llamaOpts...)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = loader.LoadGPTJModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = loader.LoadGPT2Model(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = loader.LoadStableLMModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = loader.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
-}
-
-func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
-	supportStreams := false
-	modelFile := c.Model
-
-	// Try to load the model
+func defaultLLamaOpts(c Config) []llama.ModelOption {
 	llamaOpts := []llama.ModelOption{}
 	if c.ContextSize != 0 {
 		llamaOpts = append(llamaOpts, llama.SetContext(c.ContextSize))
@@ -110,13 +30,207 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 	if c.F16 {
 		llamaOpts = append(llamaOpts, llama.EnableF16Memory)
 	}
+	if c.Embeddings {
+		llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
+	}
+
+	if c.NGPULayers != 0 {
+		llamaOpts = append(llamaOpts, llama.SetGPULayers(c.NGPULayers))
+	}
+
+	return llamaOpts
+}
+
+func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c Config) (func() error, error) {
+	if c.Backend != model.StableDiffusionBackend {
+		return nil, fmt.Errorf("endpoint only working with stablediffusion models")
+	}
+	inferenceModel, err := loader.BackendLoader(c.Backend, c.ImageGenerationAssets, []llama.ModelOption{}, uint32(c.Threads))
+	if err != nil {
+		return nil, err
+	}
+
+	var fn func() error
+	switch model := inferenceModel.(type) {
+	case *stablediffusion.StableDiffusion:
+		fn = func() error {
+			return model.GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst)
+		}
+
+	default:
+		fn = func() error {
+			return fmt.Errorf("creation of images not supported by the backend")
+		}
+	}
+
+	return func() error {
+		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
+		mutexMap.Lock()
+		l, ok := mutexes[c.Backend]
+		if !ok {
+			m := &sync.Mutex{}
+			mutexes[c.Backend] = m
+			l = m
+		}
+		mutexMap.Unlock()
+		l.Lock()
+		defer l.Unlock()
+
+		return fn()
+	}, nil
+}
+
+func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
+	if !c.Embeddings {
+		return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
+	}
+
+	modelFile := c.Model
+
+	llamaOpts := defaultLLamaOpts(c)
 
 	var inferenceModel interface{}
 	var err error
 	if c.Backend == "" {
-		inferenceModel, err = greedyLoader(loader, modelFile, llamaOpts, uint32(c.Threads))
+		inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
 	} else {
-		inferenceModel, err = backendLoader(c.Backend, loader, modelFile, llamaOpts, uint32(c.Threads))
+		inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
+	}
+	if err != nil {
+		return nil, err
+	}
+
+	var fn func() ([]float32, error)
+	switch model := inferenceModel.(type) {
+	case *llama.LLama:
+		fn = func() ([]float32, error) {
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
+			if len(tokens) > 0 {
+				return model.TokenEmbeddings(tokens, predictOptions...)
+			}
+			return model.Embeddings(s, predictOptions...)
+		}
+	// bert embeddings
+	case *bert.Bert:
+		fn = func() ([]float32, error) {
+			if len(tokens) > 0 {
+				return model.TokenEmbeddings(tokens, bert.SetThreads(c.Threads))
+			}
+			return model.Embeddings(s, bert.SetThreads(c.Threads))
+		}
+	default:
+		fn = func() ([]float32, error) {
+			return nil, fmt.Errorf("embeddings not supported by the backend")
+		}
+	}
+
+	return func() ([]float32, error) {
+		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
+		mutexMap.Lock()
+		l, ok := mutexes[modelFile]
+		if !ok {
+			m := &sync.Mutex{}
+			mutexes[modelFile] = m
+			l = m
+		}
+		mutexMap.Unlock()
+		l.Lock()
+		defer l.Unlock()
+
+		embeds, err := fn()
+		if err != nil {
+			return embeds, err
+		}
+		// Remove trailing 0s
+		for i := len(embeds) - 1; i >= 0; i-- {
+			if embeds[i] == 0.0 {
+				embeds = embeds[:i]
+			} else {
+				break
+			}
+		}
+		return embeds, nil
+	}, nil
+}
+
+func buildLLamaPredictOptions(c Config, modelPath string) []llama.PredictOption {
+	// Generate the prediction using the language model
+	predictOptions := []llama.PredictOption{
+		llama.SetTemperature(c.Temperature),
+		llama.SetTopP(c.TopP),
+		llama.SetTopK(c.TopK),
+		llama.SetTokens(c.Maxtokens),
+		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))
+	}
+
+	if c.MirostatETA != 0 {
+		predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
+	}
+
+	if c.MirostatTAU != 0 {
+		predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
+	}
+
+	if c.Debug {
+		predictOptions = append(predictOptions, llama.Debug)
+	}
+
+	predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
+
+	if c.RepeatPenalty != 0 {
+		predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
+	}
+
+	if c.Keep != 0 {
+		predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
+	}
+
+	if c.Batch != 0 {
+		predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
+	}
+
+	if c.F16 {
+		predictOptions = append(predictOptions, llama.EnableF16KV)
+	}
+
+	if c.IgnoreEOS {
+		predictOptions = append(predictOptions, llama.IgnoreEOS)
+	}
+
+	if c.Seed != 0 {
+		predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
+	}
+
+	return predictOptions
+}
+
+func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
+	supportStreams := false
+	modelFile := c.Model
+
+	llamaOpts := defaultLLamaOpts(c)
+
+	var inferenceModel interface{}
+	var err error
+	if c.Backend == "" {
+		inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
+	} else {
+		inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
 	}
 	if err != nil {
 		return nil, err
@@ -142,23 +256,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 
 			return response, nil
 		}
-	case *gpt2.StableLM:
+	case *transformers.GPTNeoX:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				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(
@@ -166,23 +280,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.GPT2:
+	case *transformers.Replit:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				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(
@@ -190,23 +304,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gptj.GPTJ:
+	case *transformers.Starcoder:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gptj.PredictOption{
-				gptj.SetTemperature(c.Temperature),
-				gptj.SetTopP(c.TopP),
-				gptj.SetTopK(c.TopK),
-				gptj.SetTokens(c.Maxtokens),
-				gptj.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gptj.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gptj.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -214,6 +328,152 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
+	case *transformers.MPT:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *bloomz.Bloomz:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []bloomz.PredictOption{
+				bloomz.SetTemperature(c.Temperature),
+				bloomz.SetTopP(c.TopP),
+				bloomz.SetTopK(c.TopK),
+				bloomz.SetTokens(c.Maxtokens),
+				bloomz.SetThreads(c.Threads),
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, bloomz.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.GPTJ:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.Dolly:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.GPT2:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *gpt4all.Model:
+		supportStreams = true
+
+		fn = func() (string, error) {
+			if tokenCallback != nil {
+				model.SetTokenCallback(tokenCallback)
+			}
+
+			// Generate the prediction using the language model
+			predictOptions := []gpt4all.PredictOption{
+				gpt4all.SetTemperature(c.Temperature),
+				gpt4all.SetTopP(c.TopP),
+				gpt4all.SetTopK(c.TopK),
+				gpt4all.SetTokens(c.Maxtokens),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, gpt4all.SetBatch(c.Batch))
+			}
+
+			str, er := model.Predict(
+				s,
+				predictOptions...,
+			)
+			// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
+			// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
+			// after a stream event has occurred
+			model.SetTokenCallback(nil)
+			return str, er
+		}
 	case *llama.LLama:
 		supportStreams = true
 		fn = func() (string, error) {
@@ -222,44 +482,7 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				model.SetTokenCallback(tokenCallback)
 			}
 
-			// Generate the prediction using the language model
-			predictOptions := []llama.PredictOption{
-				llama.SetTemperature(c.Temperature),
-				llama.SetTopP(c.TopP),
-				llama.SetTopK(c.TopK),
-				llama.SetTokens(c.Maxtokens),
-				llama.SetThreads(c.Threads),
-			}
-
-			if c.Debug {
-				predictOptions = append(predictOptions, llama.Debug)
-			}
-
-			predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
-
-			if c.RepeatPenalty != 0 {
-				predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
-			}
-
-			if c.Keep != 0 {
-				predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
-			}
-
-			if c.Batch != 0 {
-				predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
-			}
-
-			if c.F16 {
-				predictOptions = append(predictOptions, llama.EnableF16KV)
-			}
-
-			if c.IgnoreEOS {
-				predictOptions = append(predictOptions, llama.IgnoreEOS)
-			}
-
-			if c.Seed != 0 {
-				predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
-			}
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
 
 			str, er := model.Predict(
 				s,

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

@@ -1,7 +1,11 @@
 #!/bin/bash
+set -e
 
 cd /build
 
-make build
+if [ "$REBUILD" != "false" ]; then
+	rm -rf ./local-ai
+	make build
+fi
 
 ./local-ai "$@"

examples/README.md

@@ -2,15 +2,107 @@
 
 Here is a list of projects that can easily be integrated with the LocalAI backend. 
 
-## Projects
+### Projects
 
-- [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) (by [@mkellerman](https://github.com/mkellerman))
-- [discord-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/) (by [@mudler](https://github.com/mudler))
-- [langchain](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/) (by [@dave-gray101](https://github.com/dave-gray101))
-- [langchain-python](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/) (by [@mudler](https://github.com/mudler))
-- [localai-webui](https://github.com/go-skynet/LocalAI/tree/master/examples/localai-webui/) (by [@dhruvgera](https://github.com/dhruvgera))
-- [rwkv](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/) (by [@mudler](https://github.com/mudler))
-- [slack-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/) (by [@mudler](https://github.com/mudler))
+### 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
+
+_by [@mkellerman](https://github.com/mkellerman)_
+
+![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
+
+This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
+
+### Discord bot
+
+_by [@mudler](https://github.com/mudler)_
+
+Run a discord bot which lets you talk directly with a model
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/), or for a live demo you can talk with our bot in #random-bot in our discord server.
+
+### Langchain
+
+_by [@dave-gray101](https://github.com/dave-gray101)_
+
+A ready to use example to show e2e how to integrate LocalAI with langchain
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/)
+
+### Langchain Python
+
+_by [@mudler](https://github.com/mudler)_
+
+A ready to use example to show e2e how to integrate LocalAI with langchain
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/)
+
+### LocalAI WebUI
+
+_by [@dhruvgera](https://github.com/dhruvgera)_
+
+![image](https://user-images.githubusercontent.com/42107491/235344183-44b5967d-ba22-4331-804c-8da7004a5d35.png)
+
+A light, community-maintained web interface for LocalAI
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/localai-webui/)
+
+### How to run rwkv models
+
+_by [@mudler](https://github.com/mudler)_
+
+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)_
+
+Run a slack bot which lets you talk directly with a model
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/)
+
+### Question answering on documents with llama-index
+
+_by [@mudler](https://github.com/mudler)_
+
+Shows how to integrate with [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/)
+
+### Question answering on documents with langchain and chroma
+
+_by [@mudler](https://github.com/mudler)_
+
+Shows how to integrate with `Langchain` and `Chroma` to enable question answering on a set of documents.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma/)
+
+### Template for Runpod.io
+
+_by [@fHachenberg](https://github.com/fHachenberg)_
+
+Allows to run any LocalAI-compatible model as a backend on the servers of https://runpod.io
+
+[Check it out here](https://runpod.io/gsc?template=uv9mtqnrd0&ref=984wlcra)
 
 ## Want to contribute?
 

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/README.md

@@ -19,7 +19,9 @@ cd LocalAI/examples/chatbot-ui
 wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
 
 # start with docker-compose
-docker-compose up -d --build
+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

examples/chatbot-ui/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/chatbot-ui/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/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/langchain-chroma/.env.example

@@ -0,0 +1,5 @@
+THREADS=4
+CONTEXT_SIZE=512
+MODELS_PATH=/models
+DEBUG=true
+# BUILD_TYPE=generic

examples/langchain-chroma/.gitignore

@@ -0,0 +1,4 @@
+db/
+state_of_the_union.txt
+models/bert
+models/ggml-gpt4all-j

examples/langchain-chroma/README.md

@@ -0,0 +1,63 @@
+# Data query example
+
+This example makes use of [langchain and chroma](https://blog.langchain.dev/langchain-chroma/) to enable question answering on a set of documents.
+
+## Setup
+
+Download the models and start the API:
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/langchain-chroma
+
+wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
+wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
+
+# configure your .env
+# NOTE: ensure that THREADS does not exceed your machine's CPU cores
+mv .env.example .env
+
+# start with docker-compose
+docker-compose up -d --build
+
+# tail the logs & wait until the build completes
+docker logs -f langchain-chroma-api-1
+```
+
+### Python requirements
+
+```
+pip install -r requirements.txt
+```
+
+### Create a storage
+
+In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
+
+Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+wget https://raw.githubusercontent.com/hwchase17/chat-your-data/master/state_of_the_union.txt
+python store.py
+```
+
+After it finishes, a directory "db" will be created with the vector index database.
+
+## Query
+
+We can now query the dataset. 
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python query.py
+# President Trump recently stated during a press conference regarding tax reform legislation that "we're getting rid of all these loopholes." He also mentioned that he wants to simplify the system further through changes such as increasing the standard deduction amount and making other adjustments aimed at reducing taxpayers' overall burden.    
+```
+
+Keep in mind now things are hit or miss!

examples/langchain-chroma/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-chroma/models/embeddings.yaml

@@ -0,0 +1,6 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+threads: 4
+backend: bert-embeddings
+embeddings: true

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

@@ -0,0 +1,16 @@
+name: gpt-3.5-turbo
+parameters:
+  model: ggml-gpt4all-j
+  top_k: 80
+  temperature: 0.2
+  top_p: 0.7
+context_size: 1024
+stopwords:
+- "HUMAN:"
+- "GPT:"
+roles:
+  user: " "
+  system: " "
+template:
+  completion: completion
+  chat: gpt4all

examples/langchain-chroma/query.py

@@ -0,0 +1,23 @@
+
+import os
+from langchain.vectorstores import Chroma
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import RetrievalQA
+from langchain.vectorstores.base import VectorStoreRetriever
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# Load and process the text
+embedding = OpenAIEmbeddings()
+persist_directory = 'db'
+
+# Now we can load the persisted database from disk, and use it as normal. 
+llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path)
+vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
+retriever = VectorStoreRetriever(vectorstore=vectordb)
+qa = RetrievalQA.from_llm(llm=llm, retriever=retriever)
+
+query = "What the president said about taxes ?"
+print(qa.run(query))
+

examples/langchain-chroma/requirements.txt

@@ -0,0 +1,4 @@
+langchain==0.0.160
+openai==0.27.6
+chromadb==0.3.21
+llama-index==0.6.2

examples/langchain-chroma/store.py

@@ -0,0 +1,25 @@
+
+import os
+from langchain.vectorstores import Chroma
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.document_loaders import TextLoader
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# Load and process the text
+loader = TextLoader('state_of_the_union.txt')
+documents = loader.load()
+
+text_splitter = CharacterTextSplitter(chunk_size=300, chunk_overlap=70)
+texts = text_splitter.split_documents(documents)
+
+# Embed and store the texts
+# Supplying a persist_directory will store the embeddings on disk
+persist_directory = 'db'
+
+embedding = OpenAIEmbeddings(model="text-embedding-ada-002")
+vectordb = Chroma.from_documents(documents=texts, embedding=embedding, persist_directory=persist_directory)
+
+vectordb.persist()
+vectordb = None

examples/langchain-python/README.md

@@ -26,8 +26,11 @@ pip install langchain
 pip install openai
 
 export OPENAI_API_BASE=http://localhost:8080
+# Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
 export OPENAI_API_KEY=sk-
 
 python test.py
 # A good company name for a company that makes colorful socks would be "Colorsocks".
+
+python agent.py
 ```

examples/langchain-python/agent.py

@@ -0,0 +1,44 @@
+## This is a fork/based from https://gist.github.com/wiseman/4a706428eaabf4af1002a07a114f61d6
+
+from io import StringIO
+import sys
+import os
+from typing import Dict, Optional
+
+from langchain.agents import load_tools
+from langchain.agents import initialize_agent
+from langchain.agents.tools import Tool
+from langchain.llms import OpenAI
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
+
+class PythonREPL:
+    """Simulates a standalone Python REPL."""
+
+    def __init__(self):
+        pass        
+
+    def run(self, command: str) -> str:
+        """Run command and returns anything printed."""
+        old_stdout = sys.stdout
+        sys.stdout = mystdout = StringIO()
+        try:
+            exec(command, globals())
+            sys.stdout = old_stdout
+            output = mystdout.getvalue()
+        except Exception as e:
+            sys.stdout = old_stdout
+            output = str(e)
+        return output
+
+llm = OpenAI(temperature=0.0, openai_api_base=base_path, model_name=model_name)
+python_repl = Tool(
+        "Python REPL",
+        PythonREPL().run,
+        """A Python shell. Use this to execute python commands. Input should be a valid python command.
+        If you expect output it should be printed out.""",
+    )
+tools = [python_repl]
+agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
+agent.run("What is the 10th fibonacci number?")

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/PY.Dockerfile

@@ -2,4 +2,4 @@ FROM python:3.10-bullseye
 COPY ./langchainpy-localai-example /app
 WORKDIR /app
 RUN pip install --no-cache-dir -r requirements.txt
-ENTRYPOINT [ "python", "./simple_demo.py" ];
+ENTRYPOINT [ "python", "./full_demo.py" ];

examples/langchain/README.md

@@ -27,4 +27,4 @@ docker-compose --profile py up --build
 
 ## Copyright
 
-Some of the example code in index.mts is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.
+Some of the example code in index.mts and full_demo.py is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.

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/langchainjs-localai-example/package-lock.json

@@ -13,7 +13,7 @@
         "typeorm": "^0.3.15"
       },
       "devDependencies": {
-        "@types/node": "^18.16.3",
+        "@types/node": "^18.16.4",
         "typescript": "^5.0.4"
       }
     },
@@ -45,9 +45,9 @@
       "integrity": "sha512-Uy0+khmZqUrUGm5dmMqVlnvufZRSK0FbYzVgp0UMstm+F5+W2/jnEEQyc9vo1ZR/E5ZI/B1WjjoTqBqwJL6Krw=="
     },
     "node_modules/@types/node": {
-      "version": "18.16.3",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.3.tgz",
-      "integrity": "sha512-OPs5WnnT1xkCBiuQrZA4+YAV4HEJejmHneyraIaxsbev5yCEr6KMwINNFP9wQeFIw8FWcoTqF3vQsa5CDaI+8Q==",
+      "version": "18.16.4",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.4.tgz",
+      "integrity": "sha512-LUhvPmAKAbgm+p/K11IWszLZVoZDlMF4NRmqbhEzDz/CnCuehPkZXwZbBCKGJsgjnuVejotBwM7B3Scrq4EqDw==",
       "dev": true
     },
     "node_modules/@types/retry": {
@@ -137,13 +137,6 @@
       "resolved": "https://registry.npmjs.org/binary-search/-/binary-search-1.3.6.tgz",
       "integrity": "sha512-nbE1WxOTTrUWIfsfZ4aHGYu5DOuNkbxGokjV6Z2kxfJK3uaAb8zNK1muzOeipoLHZjInT4Br88BHpzevc681xA=="
     },
-    "node_modules/boolbase": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz",
-      "integrity": "sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==",
-      "optional": true,
-      "peer": true
-    },
     "node_modules/brace-expansion": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
@@ -209,73 +202,6 @@
         "url": "https://github.com/chalk/ansi-styles?sponsor=1"
       }
     },
-    "node_modules/cheerio": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/cheerio/-/cheerio-1.0.0-rc.12.tgz",
-      "integrity": "sha512-VqR8m68vM46BNnuZ5NtnGBKIE/DfN0cRIzg9n40EIq9NOv90ayxLBXA8fXC5gquFRGJSTRqBq25Jt2ECLR431Q==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "cheerio-select": "^2.1.0",
-        "dom-serializer": "^2.0.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1",
-        "htmlparser2": "^8.0.1",
-        "parse5": "^7.0.0",
-        "parse5-htmlparser2-tree-adapter": "^7.0.0"
-      },
-      "engines": {
-        "node": ">= 6"
-      },
-      "funding": {
-        "url": "https://github.com/cheeriojs/cheerio?sponsor=1"
-      }
-    },
-    "node_modules/cheerio-select": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/cheerio-select/-/cheerio-select-2.1.0.tgz",
-      "integrity": "sha512-9v9kG0LvzrlcungtnJtpGNxY+fzECQKhK4EGJX2vByejiMX84MFNQw4UxPJl3bFbTMw+Dfs37XaIkCwTZfLh4g==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "boolbase": "^1.0.0",
-        "css-select": "^5.1.0",
-        "css-what": "^6.1.0",
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/fb55"
-      }
-    },
-    "node_modules/cheerio/node_modules/parse5": {
-      "version": "7.1.2",
-      "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
-      "integrity": "sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "entities": "^4.4.0"
-      },
-      "funding": {
-        "url": "https://github.com/inikulin/parse5?sponsor=1"
-      }
-    },
-    "node_modules/cheerio/node_modules/parse5-htmlparser2-tree-adapter": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/parse5-htmlparser2-tree-adapter/-/parse5-htmlparser2-tree-adapter-7.0.0.tgz",
-      "integrity": "sha512-B77tOZrqqfUfnVcOrUvfdLbz4pu4RopLD/4vmu3HUPswwTA8OH0EMW9BlWR2B0RCoiZRAHEUu7IxeP1Pd1UU+g==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "domhandler": "^5.0.2",
-        "parse5": "^7.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/inikulin/parse5?sponsor=1"
-      }
-    },
     "node_modules/cli-highlight": {
       "version": "2.1.11",
       "resolved": "https://registry.npmjs.org/cli-highlight/-/cli-highlight-2.1.11.tgz",
@@ -379,36 +305,6 @@
         "node-fetch": "2.6.7"
       }
     },
-    "node_modules/css-select": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/css-select/-/css-select-5.1.0.tgz",
-      "integrity": "sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "boolbase": "^1.0.0",
-        "css-what": "^6.1.0",
-        "domhandler": "^5.0.2",
-        "domutils": "^3.0.1",
-        "nth-check": "^2.0.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/fb55"
-      }
-    },
-    "node_modules/css-what": {
-      "version": "6.1.0",
-      "resolved": "https://registry.npmjs.org/css-what/-/css-what-6.1.0.tgz",
-      "integrity": "sha512-HTUrgRJ7r4dsZKU6GjmpfRK1O76h97Z8MfS1G0FozR+oF2kG6Vfe8JE6zwrkbxigziPHinCJ+gCPjA9EaBDtRw==",
-      "optional": true,
-      "peer": true,
-      "engines": {
-        "node": ">= 6"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/fb55"
-      }
-    },
     "node_modules/debug": {
       "version": "4.3.4",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
@@ -433,65 +329,6 @@
         "node": ">=0.4.0"
       }
     },
-    "node_modules/dom-serializer": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz",
-      "integrity": "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.2",
-        "entities": "^4.2.0"
-      },
-      "funding": {
-        "url": "https://github.com/cheeriojs/dom-serializer?sponsor=1"
-      }
-    },
-    "node_modules/domelementtype": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz",
-      "integrity": "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==",
-      "funding": [
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-          "type": "github",
-          "url": "https://github.com/sponsors/fb55"
-        }
-      ],
-      "optional": true,
-      "peer": true
-    },
-    "node_modules/domhandler": {
-      "version": "5.0.3",
-      "resolved": "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz",
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-      "optional": true,
-      "peer": true,
-      "dependencies": {
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-      },
-      "engines": {
-        "node": ">= 4"
-      },
-      "funding": {
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-      }
-    },
-    "node_modules/domutils": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz",
-      "integrity": "sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "dom-serializer": "^2.0.0",
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/domutils?sponsor=1"
-      }
-    },
     "node_modules/dotenv": {
       "version": "16.0.3",
       "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
@@ -505,19 +342,6 @@
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
       "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
     },
-    "node_modules/entities": {
-      "version": "4.5.0",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
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-      "optional": true,
-      "peer": true,
-      "engines": {
-        "node": ">=0.12"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/entities?sponsor=1"
-      }
-    },
     "node_modules/escalade": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
@@ -623,26 +447,6 @@
         "node": "*"
       }
     },
-    "node_modules/htmlparser2": {
-      "version": "8.0.2",
-      "resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz",
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-      "funding": [
-        "https://github.com/fb55/htmlparser2?sponsor=1",
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/fb55"
-        }
-      ],
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1",
-        "entities": "^4.4.0"
-      }
-    },
     "node_modules/ieee754": {
       "version": "1.2.1",
       "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
@@ -962,19 +766,6 @@
         }
       }
     },
-    "node_modules/nth-check": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz",
-      "integrity": "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==",
-      "optional": true,
-      "peer": true,
-      "dependencies": {
-        "boolbase": "^1.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/nth-check?sponsor=1"
-      }
-    },
     "node_modules/num-sort": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz",
@@ -1457,9 +1248,9 @@
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     },
     "@types/node": {
-      "version": "18.16.3",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.3.tgz",
-      "integrity": "sha512-OPs5WnnT1xkCBiuQrZA4+YAV4HEJejmHneyraIaxsbev5yCEr6KMwINNFP9wQeFIw8FWcoTqF3vQsa5CDaI+8Q==",
+      "version": "18.16.4",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-18.16.4.tgz",
+      "integrity": "sha512-LUhvPmAKAbgm+p/K11IWszLZVoZDlMF4NRmqbhEzDz/CnCuehPkZXwZbBCKGJsgjnuVejotBwM7B3Scrq4EqDw==",
       "dev": true
     },
     "@types/retry": {
@@ -1520,13 +1311,6 @@
       "resolved": "https://registry.npmjs.org/binary-search/-/binary-search-1.3.6.tgz",
       "integrity": "sha512-nbE1WxOTTrUWIfsfZ4aHGYu5DOuNkbxGokjV6Z2kxfJK3uaAb8zNK1muzOeipoLHZjInT4Br88BHpzevc681xA=="
     },
-    "boolbase": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz",
-      "integrity": "sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==",
-      "optional": true,
-      "peer": true
-    },
     "brace-expansion": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
@@ -1568,60 +1352,6 @@
         }
       }
     },
-    "cheerio": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/cheerio/-/cheerio-1.0.0-rc.12.tgz",
-      "integrity": "sha512-VqR8m68vM46BNnuZ5NtnGBKIE/DfN0cRIzg9n40EIq9NOv90ayxLBXA8fXC5gquFRGJSTRqBq25Jt2ECLR431Q==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "cheerio-select": "^2.1.0",
-        "dom-serializer": "^2.0.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1",
-        "htmlparser2": "^8.0.1",
-        "parse5": "^7.0.0",
-        "parse5-htmlparser2-tree-adapter": "^7.0.0"
-      },
-      "dependencies": {
-        "parse5": {
-          "version": "7.1.2",
-          "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
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-          "optional": true,
-          "peer": true,
-          "requires": {
-            "entities": "^4.4.0"
-          }
-        },
-        "parse5-htmlparser2-tree-adapter": {
-          "version": "7.0.0",
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-          "integrity": "sha512-B77tOZrqqfUfnVcOrUvfdLbz4pu4RopLD/4vmu3HUPswwTA8OH0EMW9BlWR2B0RCoiZRAHEUu7IxeP1Pd1UU+g==",
-          "optional": true,
-          "peer": true,
-          "requires": {
-            "domhandler": "^5.0.2",
-            "parse5": "^7.0.0"
-          }
-        }
-      }
-    },
-    "cheerio-select": {
-      "version": "2.1.0",
-      "resolved": "https://registry.npmjs.org/cheerio-select/-/cheerio-select-2.1.0.tgz",
-      "integrity": "sha512-9v9kG0LvzrlcungtnJtpGNxY+fzECQKhK4EGJX2vByejiMX84MFNQw4UxPJl3bFbTMw+Dfs37XaIkCwTZfLh4g==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "boolbase": "^1.0.0",
-        "css-select": "^5.1.0",
-        "css-what": "^6.1.0",
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1"
-      }
-    },
     "cli-highlight": {
       "version": "2.1.11",
       "resolved": "https://registry.npmjs.org/cli-highlight/-/cli-highlight-2.1.11.tgz",
@@ -1705,27 +1435,6 @@
         "node-fetch": "2.6.7"
       }
     },
-    "css-select": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/css-select/-/css-select-5.1.0.tgz",
-      "integrity": "sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "boolbase": "^1.0.0",
-        "css-what": "^6.1.0",
-        "domhandler": "^5.0.2",
-        "domutils": "^3.0.1",
-        "nth-check": "^2.0.1"
-      }
-    },
-    "css-what": {
-      "version": "6.1.0",
-      "resolved": "https://registry.npmjs.org/css-what/-/css-what-6.1.0.tgz",
-      "integrity": "sha512-HTUrgRJ7r4dsZKU6GjmpfRK1O76h97Z8MfS1G0FozR+oF2kG6Vfe8JE6zwrkbxigziPHinCJ+gCPjA9EaBDtRw==",
-      "optional": true,
-      "peer": true
-    },
     "debug": {
       "version": "4.3.4",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
@@ -1739,47 +1448,6 @@
       "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
       "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ=="
     },
-    "dom-serializer": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz",
-      "integrity": "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.2",
-        "entities": "^4.2.0"
-      }
-    },
-    "domelementtype": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz",
-      "integrity": "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==",
-      "optional": true,
-      "peer": true
-    },
-    "domhandler": {
-      "version": "5.0.3",
-      "resolved": "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz",
-      "integrity": "sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "domelementtype": "^2.3.0"
-      }
-    },
-    "domutils": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz",
-      "integrity": "sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "dom-serializer": "^2.0.0",
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3"
-      }
-    },
     "dotenv": {
       "version": "16.0.3",
       "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
@@ -1790,13 +1458,6 @@
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
       "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
     },
-    "entities": {
-      "version": "4.5.0",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
-      "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
-      "optional": true,
-      "peer": true
-    },
     "escalade": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
@@ -1864,19 +1525,6 @@
       "resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
       "integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A=="
     },
-    "htmlparser2": {
-      "version": "8.0.2",
-      "resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz",
-      "integrity": "sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "domelementtype": "^2.3.0",
-        "domhandler": "^5.0.3",
-        "domutils": "^3.0.1",
-        "entities": "^4.4.0"
-      }
-    },
     "ieee754": {
       "version": "1.2.1",
       "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
@@ -2024,16 +1672,6 @@
         "whatwg-url": "^5.0.0"
       }
     },
-    "nth-check": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz",
-      "integrity": "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==",
-      "optional": true,
-      "peer": true,
-      "requires": {
-        "boolbase": "^1.0.0"
-      }
-    },
     "num-sort": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz",

examples/langchain/langchainjs-localai-example/package.json

@@ -11,7 +11,7 @@
   "author": "dave@gray101.com",
   "license": "MIT",
   "devDependencies": {
-    "@types/node": "^18.16.3",
+    "@types/node": "^18.16.4",
     "typescript": "^5.0.4"
   },
   "dependencies": {

examples/langchain/langchainpy-localai-example/full_demo.py

@@ -1,4 +1,6 @@
 import os
+import logging
+
 from langchain.chat_models import ChatOpenAI
 from langchain import PromptTemplate, LLMChain
 from langchain.prompts.chat import (
@@ -13,6 +15,9 @@ from langchain.schema import (
     SystemMessage
 )
 
+# This logging incantation makes it easy to see that you're actually reaching your LocalAI instance rather than OpenAI.
+logging.basicConfig(level=logging.DEBUG)
+
 print('Langchain + LocalAI PYTHON Tests')
 
 base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
@@ -24,7 +29,7 @@ chat = ChatOpenAI(temperature=0, openai_api_base=base_path, openai_api_key=key,
 
 print("Created ChatOpenAI for ", chat.model_name)
 
-template = "You are a helpful assistant that translates {input_language} to {output_language}."
+template = "You are a helpful assistant that translates {input_language} to {output_language}. The next message will be a sentence in {input_language}. Respond ONLY with the translation in {output_language}. Do not respond in {input_language}!"
 system_message_prompt = SystemMessagePromptTemplate.from_template(template)
 human_template = "{text}"
 human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
@@ -34,6 +39,8 @@ chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_mes
 print("ABOUT to execute")
 
 # get a chat completion from the formatted messages
-chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
+response = chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
+
+print(response)
 
 print(".");

examples/langchain/langchainpy-localai-example/requirements.txt

@@ -10,7 +10,7 @@ debugpy==1.6.7
 frozenlist==1.3.3
 greenlet==2.0.2
 idna==3.4
-langchain==0.0.157
+langchain==0.0.159
 marshmallow==3.19.0
 marshmallow-enum==1.5.1
 multidict==6.0.4

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:"
@@ -15,4 +14,4 @@ roles:
 backend: "gptj"
 template:
   completion: completion
-  chat: completion # gpt4all
+  chat: gpt4all

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/.gitignore

@@ -0,0 +1 @@
+storage/

examples/query_data/README.md

@@ -0,0 +1,69 @@
+# Data query example
+
+This example makes use of [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
+
+It loosely follows [the quickstart](https://gpt-index.readthedocs.io/en/stable/guides/primer/usage_pattern.html).
+
+Summary of the steps:
+
+- prepare the dataset (and store it into `data`)
+- prepare a vector index database to run queries on
+- run queries
+
+## Requirements
+
+You will need a training data set. Copy that over `data`.
+
+## Setup
+
+Start the API:
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/query_data
+
+wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
+wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
+
+# start with docker-compose
+docker-compose up -d --build
+```
+
+### Create a storage
+
+In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
+
+Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python store.py
+```
+
+After it finishes, a directory "storage" will be created with the vector index database.
+
+## Query
+
+We can now query the dataset. 
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python query.py
+```
+
+## Update
+
+To update our vector database, run `update.py`
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python update.py
+```

examples/query_data/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/query_data/models/completion.tmpl

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

examples/query_data/models/embeddings.yaml

@@ -0,0 +1,6 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+threads: 14
+backend: bert-embeddings
+embeddings: true

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

@@ -0,0 +1,16 @@
+name: gpt-3.5-turbo
+parameters:
+  model: ggml-gpt4all-j
+  top_k: 80
+  temperature: 0.2
+  top_p: 0.7
+context_size: 1024
+stopwords:
+- "HUMAN:"
+- "GPT:"
+roles:
+  user: " "
+  system: " "
+template:
+  completion: completion
+  chat: gpt4all

examples/query_data/query.py

@@ -0,0 +1,35 @@
+import os
+
+# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
+# os.environ['OPENAI_API_KEY']= ""
+
+from llama_index import   LLMPredictor, PromptHelper, ServiceContext
+from langchain.llms.openai import OpenAI
+from llama_index import StorageContext, load_index_from_storage
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# This example uses text-davinci-003 by default; feel free to change if desired
+llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
+
+# Configure prompt parameters and initialise helper
+max_input_size = 500
+num_output = 256
+max_chunk_overlap = 20
+
+prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
+
+# Load documents from the 'data' directory
+service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+# rebuild storage context
+storage_context = StorageContext.from_defaults(persist_dir='./storage')
+
+# load index
+index = load_index_from_storage(storage_context,     service_context=service_context,    )
+
+query_engine = index.as_query_engine()
+
+data = input("Question: ")
+response = query_engine.query(data)
+print(response)

examples/query_data/store.py

@@ -0,0 +1,27 @@
+import os
+
+# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
+# os.environ['OPENAI_API_KEY']= ""
+
+from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, LLMPredictor, PromptHelper, ServiceContext
+from langchain.llms.openai import OpenAI
+from llama_index import StorageContext, load_index_from_storage
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# This example uses text-davinci-003 by default; feel free to change if desired
+llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
+
+# Configure prompt parameters and initialise helper
+max_input_size = 400
+num_output = 400
+max_chunk_overlap = 30
+
+prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
+
+# Load documents from the 'data' directory
+documents = SimpleDirectoryReader('data').load_data()
+service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper, chunk_size_limit = 400)
+index = GPTVectorStoreIndex.from_documents(documents, service_context=service_context)
+index.storage_context.persist(persist_dir="./storage")
+

examples/query_data/update.py

@@ -0,0 +1,32 @@
+import os
+
+# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
+# os.environ['OPENAI_API_KEY']= ""
+
+from llama_index import   LLMPredictor, PromptHelper, SimpleDirectoryReader, ServiceContext
+from langchain.llms.openai import OpenAI
+from llama_index import StorageContext, load_index_from_storage
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# This example uses text-davinci-003 by default; feel free to change if desired
+llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
+
+# Configure prompt parameters and initialise helper
+max_input_size = 512
+num_output = 256
+max_chunk_overlap = 20
+
+prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
+
+# Load documents from the 'data' directory
+service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+# rebuild storage context
+storage_context = StorageContext.from_defaults(persist_dir='./storage')
+
+# load index
+index = load_index_from_storage(storage_context,     service_context=service_context,    )
+documents = SimpleDirectoryReader('data').load_data()
+index.refresh(documents)
+index.storage_context.persist(persist_dir="./storage")

examples/rwkv/.gitignore

@@ -0,0 +1,2 @@
+models/rwkv
+models/rwkv.tokenizer.json

examples/rwkv/Dockerfile.build

@@ -1,5 +1,7 @@
 FROM python
 
+RUN apt-get update && apt-get -y install cmake
+
 # convert the model (one-off)
 RUN pip3 install torch numpy
 

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

@@ -0,0 +1,11 @@
+#!/bin/bash
+set -ex
+
+URL=$1
+OUT=$2
+FILENAME=$(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_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

@@ -3,44 +3,57 @@ module github.com/go-skynet/LocalAI
 go 1.19
 
 require (
-	github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be
-	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708
-	github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230503200855-2e6ae1269e03
-	github.com/gofiber/fiber/v2 v2.44.0
+	github.com/donomii/go-rwkv.cpp v0.0.0-20230529074347-ccb05c3e1c6e
+	github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230528233858-d7c936b44a80
+	github.com/go-audio/wav v1.1.0
+	github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf
+	github.com/go-skynet/go-bert.cpp v0.0.0-20230529074307-771b4a085972
+	github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230529215936-13ccc22621bb
+	github.com/go-skynet/go-llama.cpp v0.0.0-20230529221033-4afcaf28f36f
+	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/jaypipes/ghw v0.10.0
-	github.com/onsi/ginkgo/v2 v2.9.4
-	github.com/onsi/gomega v1.27.6
+	github.com/imdario/mergo v0.3.16
+	github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642
+	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230528235700-9eb81cb54922
+	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 v1.9.3
+	github.com/sashabaranov/go-openai v1.9.5
+	github.com/swaggo/swag v1.16.1
 	github.com/urfave/cli/v2 v2.25.3
 	github.com/valyala/fasthttp v1.47.0
+	gopkg.in/yaml.v2 v2.4.0
 	gopkg.in/yaml.v3 v3.0.1
 )
 
 require (
-	github.com/StackExchange/wmi v1.2.1 // indirect
+	github.com/KyleBanks/depth v1.2.1 // indirect
+	github.com/PuerkitoBio/purell v1.1.1 // indirect
+	github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 // indirect
 	github.com/andybalholm/brotli v1.0.5 // indirect
 	github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
-	github.com/ghodss/yaml v1.0.0 // indirect
+	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-ole/go-ole v1.2.6 // indirect
+	github.com/go-openapi/jsonpointer v0.19.5 // indirect
+	github.com/go-openapi/jsonreference v0.19.6 // indirect
+	github.com/go-openapi/spec v0.20.4 // indirect
+	github.com/go-openapi/swag v0.19.15 // 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/google/go-cmp v0.5.9 // indirect
 	github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 // indirect
-	github.com/google/uuid v1.3.0 // indirect
 	github.com/hashicorp/errwrap v1.0.0 // indirect
-	github.com/jaypipes/pcidb v1.0.0 // indirect
+	github.com/josharian/intern v1.0.0 // indirect
 	github.com/klauspost/compress v1.16.3 // indirect
-	github.com/kr/text v0.2.0 // indirect
+	github.com/mailru/easyjson v0.7.6 // indirect
 	github.com/mattn/go-colorable v0.1.13 // indirect
 	github.com/mattn/go-isatty v0.0.18 // indirect
 	github.com/mattn/go-runewidth v0.0.14 // indirect
-	github.com/mitchellh/go-homedir v1.1.0 // indirect
+	github.com/otiai10/mint v1.5.1 // indirect
 	github.com/philhofer/fwd v1.1.2 // indirect
-	github.com/pkg/errors v0.9.1 // indirect
 	github.com/rivo/uniseg v0.2.0 // indirect
 	github.com/russross/blackfriday/v2 v2.1.0 // indirect
 	github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 // indirect
@@ -49,10 +62,8 @@ require (
 	github.com/valyala/bytebufferpool v1.0.0 // indirect
 	github.com/valyala/tcplisten v1.0.0 // indirect
 	github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
-	golang.org/x/net v0.9.0 // indirect
-	golang.org/x/sys v0.7.0 // indirect
+	golang.org/x/net v0.10.0 // indirect
+	golang.org/x/sys v0.8.0 // indirect
 	golang.org/x/text v0.9.0 // indirect
-	golang.org/x/tools v0.8.0 // indirect
-	gopkg.in/yaml.v2 v2.4.0 // indirect
-	howett.net/plist v1.0.0 // indirect
+	golang.org/x/tools v0.9.1 // indirect
 )

go.sum

@@ -1,5 +1,9 @@
-github.com/StackExchange/wmi v1.2.1 h1:VIkavFPXSjcnS+O8yTq7NI32k0R5Aj+v39y29VYDOSA=
-github.com/StackExchange/wmi v1.2.1/go.mod h1:rcmrprowKIVzvc+NUiLncP2uuArMWLCbu9SBzvHz7e8=
+github.com/KyleBanks/depth v1.2.1 h1:5h8fQADFrWtarTdtDudMmGsC7GPbOAu6RVB3ffsVFHc=
+github.com/KyleBanks/depth v1.2.1/go.mod h1:jzSb9d0L43HxTQfT+oSA1EEp2q+ne2uh6XgeJcm8brE=
+github.com/PuerkitoBio/purell v1.1.1 h1:WEQqlqaGbrPkxLJWfBwQmfEAE1Z7ONdDLqrN38tNFfI=
+github.com/PuerkitoBio/purell v1.1.1/go.mod h1:c11w/QuzBsJSee3cPx9rAFu61PvFxuPbtSwDGJws/X0=
+github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 h1:d+Bc7a5rLufV/sSk/8dngufqelfh6jnri85riMAaF/M=
+github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578/go.mod h1:uGdkoq3SwY9Y+13GIhn11/XLaGBb4BfwItxLd5jeuXE=
 github.com/andybalholm/brotli v1.0.5 h1:8uQZIdzKmjc/iuPu7O2ioW48L81FgatrcpfFmiq/cCs=
 github.com/andybalholm/brotli v1.0.5/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
 github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI=
@@ -12,34 +16,71 @@ github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ3
 github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
 github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230502223004-0a3db3d72e7d h1:lSHwlYf1H4WAWYgf7rjEVTGen1qmigUq2Egpu8mnQiY=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230502223004-0a3db3d72e7d/go.mod h1:H6QBF7/Tz6DAEBDXQged4H1BvsmqY/K5FG9wQRGa01g=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hcw/SY44RuR7kyONkxd744RFeRrqckzwNQ=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
-github.com/ghodss/yaml v1.0.0 h1:wQHKEahhL6wmXdzwWG11gIVCkOv05bNOh+Rxn0yngAk=
-github.com/ghodss/yaml v1.0.0/go.mod h1:4dBDuWmgqj2HViK6kFavaiC9ZROes6MMH2rRYeMEF04=
-github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
-github.com/go-logr/logr v1.2.3/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
+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/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=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230524181101-5e2b3407ef46 h1:+STJWsBFikYC90LnR8I9gcBdysQn7Jv9Jb44+5WBi68=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230524181101-5e2b3407ef46/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230527074028-9b926844e3ae h1:uzi5myq/qNX9xiKMRF/fW3HfxuEo2WcnTalwg9fe2hM=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230527074028-9b926844e3ae/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230528233858-d7c936b44a80 h1:IeeVcNaQHdcG+GPg+meOPFvtonvO8p/HBzTrZGjpWZk=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230528233858-d7c936b44a80/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
+github.com/go-audio/audio v1.0.0/go.mod h1:6uAu0+H2lHkwdGsAY+j2wHPNPpPoeg5AaEFh9FlA+Zs=
+github.com/go-audio/riff v1.0.0 h1:d8iCGbDvox9BfLagY94fBynxSPHO80LmZCaOsmKxokA=
+github.com/go-audio/riff v1.0.0/go.mod h1:l3cQwc85y79NQFCRB7TiPoNiaijp6q8Z0Uv38rVG498=
+github.com/go-audio/wav v1.1.0 h1:jQgLtbqBzY7G+BM8fXF7AHUk1uHUviWS4X39d5rsL2g=
+github.com/go-audio/wav v1.1.0/go.mod h1:mpe9qfwbScEbkd8uybLuIpTgHyrISw/OTuvjUW2iGtE=
 github.com/go-logr/logr v1.2.4 h1:g01GSCwiDw2xSZfjJ2/T9M+S6pFdcNtFYsp+Y43HYDQ=
 github.com/go-logr/logr v1.2.4/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
-github.com/go-ole/go-ole v1.2.5/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
-github.com/go-ole/go-ole v1.2.6 h1:/Fpf6oFPoeFik9ty7siob0G6Ke8QvQEuVcuChpwXzpY=
-github.com/go-ole/go-ole v1.2.6/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708 h1:cfOi4TWvQ6JsAm9Q1A8I8j9YfNy10bmIfwOiyGyU5wQ=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230430075552-377fd245eae2 h1:CYQRCbOfYtC77OxweAyrdxSVwoLIM/EdZ6Ij+xBzta8=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230430075552-377fd245eae2/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230502121737-8ceb6167e405 h1:pbIxJ/eiL1Irdprxk/mquaxjR1XDGCE+7CT9BGJNRaY=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230502121737-8ceb6167e405/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230503200855-2e6ae1269e03 h1:j9fhITFhkz4SczJU0jIaMYo5tdTVTrj+zdhEgWHEr40=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230503200855-2e6ae1269e03/go.mod h1:LvSQx5QAYBAMpWkbyVFFDiM1Tzj8LP55DvmUM3hbRMY=
+github.com/go-openapi/jsonpointer v0.19.3/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
+github.com/go-openapi/jsonpointer v0.19.5 h1:gZr+CIYByUqjcgeLXnQu2gHYQC9o73G2XUeOFYEICuY=
+github.com/go-openapi/jsonpointer v0.19.5/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
+github.com/go-openapi/jsonreference v0.19.6 h1:UBIxjkht+AWIgYzCDSv2GN+E/togfwXUJFRTWhl2Jjs=
+github.com/go-openapi/jsonreference v0.19.6/go.mod h1:diGHMEHg2IqXZGKxqyvWdfWU/aim5Dprw5bqpKkTvns=
+github.com/go-openapi/spec v0.20.4 h1:O8hJrt0UMnhHcluhIdUgCLRWyM2x7QkBXRvOs7m+O1M=
+github.com/go-openapi/spec v0.20.4/go.mod h1:faYFR1CvsJZ0mNsmsphTMSoRrNV3TEDoAM7FOEWeq8I=
+github.com/go-openapi/swag v0.19.5/go.mod h1:POnQmlKehdgb5mhVOsnJFsivZCEZ/vjK9gh66Z9tfKk=
+github.com/go-openapi/swag v0.19.15 h1:D2NRCBzS9/pEY3gP9Nl8aDqGUcPFrwG2p+CNFrLyrCM=
+github.com/go-openapi/swag v0.19.15/go.mod h1:QYRuS/SOXUCsnplDa677K7+DxSOj6IPNl/eQntq43wQ=
+github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf h1:VJfSn8hIDE+K5+h38M3iAyFXrxpRExMKRdTk33UDxsw=
+github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
+github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4 h1:+3KPDf4Wv1VHOkzAfZnlj9qakLSYggTpm80AswhD/FU=
+github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4/go.mod h1:VY0s5KoAI2jRCvQXKuDeEEe8KG7VaWifSNJSk+E1KtY=
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+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/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=
 github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee h1:8Iv5m6xEo1NR1AvpV+7XmhI4r39LGNzwUL4YpMuL5vk=
 github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee/go.mod h1:qwtSXrKuJh/zsFQ12yEE89xfCrGKK63Rr7ctU/uCo4g=
 github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
-github.com/stretchr/testify v1.6.1 h1:hDPOHmpOpP40lSULcqw7IrRb/u7w6RpDC9399XyoNd0=
+github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
 github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
+github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
+github.com/swaggo/swag v1.16.1 h1:fTNRhKstPKxcnoKsytm4sahr8FaYzUcT7i1/3nd/fBg=
+github.com/swaggo/swag v1.16.1/go.mod h1:9/LMvHycG3NFHfR6LwvikHv5iFvmPADQ359cKikGxto=
 github.com/tinylib/msgp v1.1.6/go.mod h1:75BAfg2hauQhs3qedfdDZmWAPcFMAvJE5b9rGOMufyw=
 github.com/tinylib/msgp v1.1.8 h1:FCXC1xanKO4I8plpHGH2P7koL/RzZs12l/+r7vakfm0=
 github.com/tinylib/msgp v1.1.8/go.mod h1:qkpG+2ldGg4xRFmx+jfTvZPxfGFhi64BcnL9vkCm/Tw=
@@ -134,26 +195,26 @@ golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5y
 golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
 golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4=
 golang.org/x/mod v0.7.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
+golang.org/x/mod v0.10.0 h1:lFO9qtOdlre5W1jxS3r/4szv2/6iXxScdzjoBMXNhYk=
 golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
 golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
 golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
 golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
+golang.org/x/net v0.0.0-20210421230115-4e50805a0758/go.mod h1:72T/g9IO56b78aLF+1Kcs5dz7/ng1VjMUvfKvpfy+jM=
 golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
 golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
-golang.org/x/net v0.8.0 h1:Zrh2ngAOFYneWTAIAPethzeaQLuHwhuBkuV6ZiRnUaQ=
-golang.org/x/net v0.8.0/go.mod h1:QVkue5JL9kW//ek3r6jTKnTFis1tRmNAW2P1shuFdJc=
-golang.org/x/net v0.9.0 h1:aWJ/m6xSmxWBx+V0XRHTlrYrPG56jKsLdTFmsSsCzOM=
-golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
+golang.org/x/net v0.10.0 h1:X2//UzNDwYmtCLn7To6G58Wr6f5ahEAQgKNzv9Y951M=
+golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
 golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
-golang.org/x/sys v0.0.0-20190916202348-b4ddaad3f8a3/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20191204072324-ce4227a45e2e/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
+golang.org/x/sys v0.0.0-20210420072515-93ed5bcd2bfe/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20210630005230-0f9fa26af87c/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20210927094055-39ccf1dd6fa6/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
@@ -162,17 +223,16 @@ golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBc
 golang.org/x/sys v0.0.0-20220811171246-fbc7d0a398ab/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.3.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.7.0 h1:3jlCCIQZPdOYu1h8BkNvLz8Kgwtae2cagcG/VamtZRU=
-golang.org/x/sys v0.7.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.8.0 h1:EBmGv8NaZBZTWvrbjNoL6HVt+IVy3QDQpJs7VRIw3tU=
+golang.org/x/sys v0.8.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
 golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
 golang.org/x/term v0.3.0/go.mod h1:q750SLmJuPmVoN1blW3UFBPREJfb1KmY3vwxfr+nFDA=
 golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
 golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
+golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
 golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
 golang.org/x/text v0.5.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
-golang.org/x/text v0.8.0 h1:57P1ETyNKtuIjB4SRd15iJxuhj8Gc416Y78H3qgMh68=
-golang.org/x/text v0.8.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
 golang.org/x/text v0.9.0 h1:2sjJmO8cDvYveuX97RDLsxlyUxLl+GHoLxBiRdHllBE=
 golang.org/x/text v0.9.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
 golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
@@ -180,21 +240,20 @@ golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtn
 golang.org/x/tools v0.0.0-20201022035929-9cf592e881e9/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
 golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
 golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
-golang.org/x/tools v0.7.0 h1:W4OVu8VVOaIO0yzWMNdepAulS7YfoS3Zabrm8DOXXU4=
-golang.org/x/tools v0.7.0/go.mod h1:4pg6aUX35JBAogB10C9AtvVL+qowtN4pT3CGSQex14s=
-golang.org/x/tools v0.8.0 h1:vSDcovVPld282ceKgDimkRSC8kpaH1dgyc9UMzlt84Y=
-golang.org/x/tools v0.8.0/go.mod h1:JxBZ99ISMI5ViVkT1tr6tdNmXeTrcpVSD3vZ1RsRdN4=
+golang.org/x/tools v0.9.1 h1:8WMNJAz3zrtPmnYC7ISf5dEn3MT0gY7jBJfw27yrrLo=
+golang.org/x/tools v0.9.1/go.mod h1:owI94Op576fPu3cIGQeHs3joujW/2Oc6MtlxbF5dfNc=
 golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 google.golang.org/protobuf v1.28.0 h1:w43yiav+6bVFTBQFZX0r7ipe9JQ1QsbMgHwbBziscLw=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
-gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127 h1:qIbj1fsPNlZgppZ+VLlY7N33q108Sa+fhmuc+sWQYwY=
-gopkg.in/yaml.v1 v1.0.0-20140924161607-9f9df34309c0/go.mod h1:WDnlLJ4WF5VGsH/HVa3CI79GS0ol3YnhVnKP89i0kNg=
+gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
+gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f h1:BLraFXnmrev5lT+xlilqcH8XK9/i0At2xKjWk4p6zsU=
+gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
+gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
 gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY=
 gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ=
 gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
+gopkg.in/yaml.v3 v3.0.0-20200615113413-eeeca48fe776/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
 gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
-howett.net/plist v1.0.0 h1:7CrbWYbPPO/PyNy38b2EB/+gYbjCe2DXBxgtOOZbSQM=
-howett.net/plist v1.0.0/go.mod h1:lqaXoTrLY4hg8tnEzNru53gicrbv7rrk+2xJA/7hw9g=

main.go

@@ -33,6 +33,14 @@ func main() {
 				Name:    "debug",
 				EnvVars: []string{"DEBUG"},
 			},
+			&cli.BoolFlag{
+				Name:    "cors",
+				EnvVars: []string{"CORS"},
+			},
+			&cli.StringFlag{
+				Name:    "cors-allow-origins",
+				EnvVars: []string{"CORS_ALLOW_ORIGINS"},
+			},
 			&cli.IntFlag{
 				Name:        "threads",
 				DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
@@ -45,6 +53,16 @@ func main() {
 				EnvVars:     []string{"MODELS_PATH"},
 				Value:       filepath.Join(path, "models"),
 			},
+			&cli.StringFlag{
+				Name:        "preload-models",
+				DefaultText: "A List of models to apply in JSON at start",
+				EnvVars:     []string{"PRELOAD_MODELS"},
+			},
+			&cli.StringFlag{
+				Name:        "preload-models-config",
+				DefaultText: "A List of models to apply at startup. Path to a YAML config file",
+				EnvVars:     []string{"PRELOAD_MODELS_CONFIG"},
+			},
 			&cli.StringFlag{
 				Name:        "config-file",
 				DefaultText: "Config file",
@@ -56,12 +74,24 @@ func main() {
 				EnvVars:     []string{"ADDRESS"},
 				Value:       ":8080",
 			},
+			&cli.StringFlag{
+				Name:        "image-path",
+				DefaultText: "Image directory",
+				EnvVars:     []string{"IMAGE_PATH"},
+				Value:       "",
+			},
 			&cli.IntFlag{
 				Name:        "context-size",
 				DefaultText: "Default context size of the model",
 				EnvVars:     []string{"CONTEXT_SIZE"},
 				Value:       512,
 			},
+			&cli.IntFlag{
+				Name:        "upload-limit",
+				DefaultText: "Default upload-limit. MB",
+				EnvVars:     []string{"UPLOAD_LIMIT"},
+				Value:       15,
+			},
 		},
 		Description: `
 LocalAI is a drop-in replacement OpenAI API which runs inference locally.
@@ -81,7 +111,25 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
 		Copyright: "go-skynet authors",
 		Action: func(ctx *cli.Context) error {
 			fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
-			return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).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(model.NewModelLoader(ctx.String("models-path"))),
+				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.WithUploadLimitMB(ctx.Int("upload-limit")))
+			if err != nil {
+				return err
+			}
+
+			return app.Listen(ctx.String("address"))
 		},
 	}
 

pkg/gallery/gallery_suite_test.go

@@ -0,0 +1,13 @@
+package gallery_test
+
+import (
+	"testing"
+
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestGallery(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "Gallery test suite")
+}

pkg/gallery/models.go

@@ -0,0 +1,271 @@
+package gallery
+
+import (
+	"crypto/sha256"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"path/filepath"
+
+	"github.com/imdario/mergo"
+	"github.com/rs/zerolog/log"
+	"gopkg.in/yaml.v2"
+)
+
+/*
+
+description: |
+    foo
+license: ""
+
+urls:
+-
+-
+
+name: "bar"
+
+config_file: |
+    # Note, name will be injected. or generated by the alias wanted by the user
+    threads: 14
+
+files:
+    - filename: ""
+      sha: ""
+      uri: ""
+
+prompt_templates:
+    - name: ""
+      content: ""
+
+*/
+
+type Config struct {
+	Description     string           `yaml:"description"`
+	License         string           `yaml:"license"`
+	URLs            []string         `yaml:"urls"`
+	Name            string           `yaml:"name"`
+	ConfigFile      string           `yaml:"config_file"`
+	Files           []File           `yaml:"files"`
+	PromptTemplates []PromptTemplate `yaml:"prompt_templates"`
+}
+
+type File struct {
+	Filename string `yaml:"filename" json:"filename"`
+	SHA256   string `yaml:"sha256" json:"sha256"`
+	URI      string `yaml:"uri" json:"uri"`
+}
+
+type PromptTemplate struct {
+	Name    string `yaml:"name"`
+	Content string `yaml:"content"`
+}
+
+func ReadConfigFile(filePath string) (*Config, error) {
+	// Read the YAML file
+	yamlFile, err := os.ReadFile(filePath)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read YAML file: %v", err)
+	}
+
+	// Unmarshal YAML data into a Config struct
+	var config Config
+	err = yaml.Unmarshal(yamlFile, &config)
+	if err != nil {
+		return nil, fmt.Errorf("failed to unmarshal YAML: %v", err)
+	}
+
+	return &config, nil
+}
+
+func inTrustedRoot(path string, trustedRoot string) error {
+	for path != "/" {
+		path = filepath.Dir(path)
+		if path == trustedRoot {
+			return nil
+		}
+	}
+	return fmt.Errorf("path is outside of trusted root")
+}
+
+func verifyPath(path, basePath string) error {
+	c := filepath.Clean(filepath.Join(basePath, path))
+	return inTrustedRoot(c, basePath)
+}
+
+func Apply(basePath, nameOverride string, config *Config, configOverrides map[string]interface{}) error {
+	// Create base path if it doesn't exist
+	err := os.MkdirAll(basePath, 0755)
+	if err != nil {
+		return fmt.Errorf("failed to create base path: %v", err)
+	}
+
+	if len(configOverrides) > 0 {
+		log.Debug().Msgf("Config overrides %+v", configOverrides)
+	}
+
+	// Download files and verify their SHA
+	for _, file := range config.Files {
+		log.Debug().Msgf("Checking %q exists and matches SHA", file.Filename)
+
+		if err := verifyPath(file.Filename, basePath); err != nil {
+			return err
+		}
+		// Create file path
+		filePath := filepath.Join(basePath, file.Filename)
+
+		// Check if the file already exists
+		_, err := os.Stat(filePath)
+		if err == nil {
+			// File exists, check SHA
+			if file.SHA256 != "" {
+				// Verify SHA
+				calculatedSHA, err := calculateSHA(filePath)
+				if err != nil {
+					return fmt.Errorf("failed to calculate SHA for file %q: %v", file.Filename, err)
+				}
+				if calculatedSHA == file.SHA256 {
+					// SHA matches, skip downloading
+					log.Debug().Msgf("File %q already exists and matches the SHA. Skipping download", file.Filename)
+					continue
+				}
+				// SHA doesn't match, delete the file and download again
+				err = os.Remove(filePath)
+				if err != nil {
+					return fmt.Errorf("failed to remove existing file %q: %v", file.Filename, err)
+				}
+				log.Debug().Msgf("Removed %q (SHA doesn't match)", filePath)
+
+			} else {
+				// SHA is missing, skip downloading
+				log.Debug().Msgf("File %q already exists. Skipping download", file.Filename)
+				continue
+			}
+		} else if !os.IsNotExist(err) {
+			// Error occurred while checking file existence
+			return fmt.Errorf("failed to check file %q existence: %v", file.Filename, err)
+		}
+
+		log.Debug().Msgf("Downloading %q", file.URI)
+
+		// Download file
+		resp, err := http.Get(file.URI)
+		if err != nil {
+			return fmt.Errorf("failed to download file %q: %v", file.Filename, err)
+		}
+		defer resp.Body.Close()
+
+		// Create parent directory
+		err = os.MkdirAll(filepath.Dir(filePath), 0755)
+		if err != nil {
+			return fmt.Errorf("failed to create parent directory for file %q: %v", file.Filename, err)
+		}
+
+		// Create and write file content
+		outFile, err := os.Create(filePath)
+		if err != nil {
+			return fmt.Errorf("failed to create file %q: %v", file.Filename, err)
+		}
+		defer outFile.Close()
+
+		if file.SHA256 != "" {
+			log.Debug().Msgf("Download and verifying %q", file.Filename)
+
+			// Write file content and calculate SHA
+			hash := sha256.New()
+			_, err = io.Copy(io.MultiWriter(outFile, hash), resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
+			}
+
+			// Verify SHA
+			calculatedSHA := fmt.Sprintf("%x", hash.Sum(nil))
+			if calculatedSHA != file.SHA256 {
+				return fmt.Errorf("SHA mismatch for file %q ( calculated: %s != metadata: %s )", file.Filename, calculatedSHA, file.SHA256)
+			}
+		} else {
+			log.Debug().Msgf("SHA missing for %q. Skipping validation", file.Filename)
+			_, err = io.Copy(outFile, resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
+			}
+		}
+
+		log.Debug().Msgf("File %q downloaded and verified", file.Filename)
+	}
+
+	// Write prompt template contents to separate files
+	for _, template := range config.PromptTemplates {
+		if err := verifyPath(template.Name+".tmpl", basePath); err != nil {
+			return err
+		}
+		// Create file path
+		filePath := filepath.Join(basePath, template.Name+".tmpl")
+
+		// Create parent directory
+		err := os.MkdirAll(filepath.Dir(filePath), 0755)
+		if err != nil {
+			return fmt.Errorf("failed to create parent directory for prompt template %q: %v", template.Name, err)
+		}
+		// Create and write file content
+		err = os.WriteFile(filePath, []byte(template.Content), 0644)
+		if err != nil {
+			return fmt.Errorf("failed to write prompt template %q: %v", template.Name, err)
+		}
+
+		log.Debug().Msgf("Prompt template %q written", template.Name)
+	}
+
+	name := config.Name
+	if nameOverride != "" {
+		name = nameOverride
+	}
+
+	if err := verifyPath(name+".yaml", basePath); err != nil {
+		return err
+	}
+
+	configFilePath := filepath.Join(basePath, name+".yaml")
+
+	// Read and update config file as map[string]interface{}
+	configMap := make(map[string]interface{})
+	err = yaml.Unmarshal([]byte(config.ConfigFile), &configMap)
+	if err != nil {
+		return fmt.Errorf("failed to unmarshal config YAML: %v", err)
+	}
+
+	configMap["name"] = name
+
+	if err := mergo.Merge(&configMap, configOverrides, mergo.WithOverride); err != nil {
+		return err
+	}
+
+	// Write updated config file
+	updatedConfigYAML, err := yaml.Marshal(configMap)
+	if err != nil {
+		return fmt.Errorf("failed to marshal updated config YAML: %v", err)
+	}
+
+	err = os.WriteFile(configFilePath, updatedConfigYAML, 0644)
+	if err != nil {
+		return fmt.Errorf("failed to write updated config file: %v", err)
+	}
+
+	log.Debug().Msgf("Written config file %s", configFilePath)
+	return nil
+}
+
+func calculateSHA(filePath string) (string, error) {
+	file, err := os.Open(filePath)
+	if err != nil {
+		return "", err
+	}
+	defer file.Close()
+
+	hash := sha256.New()
+	if _, err := io.Copy(hash, file); err != nil {
+		return "", err
+	}
+
+	return fmt.Sprintf("%x", hash.Sum(nil)), nil
+}

pkg/gallery/models_test.go

@@ -0,0 +1,94 @@
+package gallery_test
+
+import (
+	"os"
+	"path/filepath"
+
+	. "github.com/go-skynet/LocalAI/pkg/gallery"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+	"gopkg.in/yaml.v3"
+)
+
+var _ = Describe("Model test", func() {
+	Context("Downloading", func() {
+		It("applies model correctly", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "", c, map[string]interface{}{})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "cerebras.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+
+			content := map[string]interface{}{}
+
+			dat, err := os.ReadFile(filepath.Join(tempdir, "cerebras.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = yaml.Unmarshal(dat, content)
+			Expect(err).ToNot(HaveOccurred())
+
+			Expect(content["context_size"]).To(Equal(1024))
+		})
+
+		It("renames model correctly", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "foo", c, map[string]interface{}{})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+		})
+
+		It("overrides parameters", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "foo", c, map[string]interface{}{"backend": "foo"})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+
+			content := map[string]interface{}{}
+
+			dat, err := os.ReadFile(filepath.Join(tempdir, "foo.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = yaml.Unmarshal(dat, content)
+			Expect(err).ToNot(HaveOccurred())
+
+			Expect(content["backend"]).To(Equal("foo"))
+		})
+
+		It("catches path traversals", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "../../../foo", c, map[string]interface{}{})
+			Expect(err).To(HaveOccurred())
+		})
+	})
+})

pkg/model/initializers.go

@@ -0,0 +1,196 @@
+package model
+
+import (
+	"fmt"
+	"path/filepath"
+	"strings"
+
+	rwkv "github.com/donomii/go-rwkv.cpp"
+	whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	bloomz "github.com/go-skynet/bloomz.cpp"
+	bert "github.com/go-skynet/go-bert.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"
+	"github.com/rs/zerolog/log"
+)
+
+const tokenizerSuffix = ".tokenizer.json"
+
+const (
+	LlamaBackend           = "llama"
+	BloomzBackend          = "bloomz"
+	StarcoderBackend       = "starcoder"
+	GPTJBackend            = "gptj"
+	DollyBackend           = "dolly"
+	MPTBackend             = "mpt"
+	GPTNeoXBackend         = "gptneox"
+	ReplitBackend          = "replit"
+	Gpt2Backend            = "gpt2"
+	Gpt4AllLlamaBackend    = "gpt4all-llama"
+	Gpt4AllMptBackend      = "gpt4all-mpt"
+	Gpt4AllJBackend        = "gpt4all-j"
+	BertEmbeddingsBackend  = "bert-embeddings"
+	RwkvBackend            = "rwkv"
+	WhisperBackend         = "whisper"
+	StableDiffusionBackend = "stablediffusion"
+)
+
+var backends []string = []string{
+	LlamaBackend,
+	Gpt4AllLlamaBackend,
+	Gpt4AllMptBackend,
+	Gpt4AllJBackend,
+	RwkvBackend,
+	GPTNeoXBackend,
+	WhisperBackend,
+	BertEmbeddingsBackend,
+	GPTJBackend,
+	Gpt2Backend,
+	DollyBackend,
+	MPTBackend,
+	ReplitBackend,
+	StarcoderBackend,
+	BloomzBackend,
+}
+
+var starCoder = func(modelFile string) (interface{}, error) {
+	return transformers.NewStarcoder(modelFile)
+}
+
+var mpt = func(modelFile string) (interface{}, error) {
+	return transformers.NewMPT(modelFile)
+}
+
+var dolly = func(modelFile string) (interface{}, error) {
+	return transformers.NewDolly(modelFile)
+}
+
+var gptNeoX = func(modelFile string) (interface{}, error) {
+	return transformers.NewGPTNeoX(modelFile)
+}
+
+var replit = func(modelFile string) (interface{}, error) {
+	return transformers.NewReplit(modelFile)
+}
+
+var gptJ = func(modelFile string) (interface{}, error) {
+	return transformers.NewGPTJ(modelFile)
+}
+
+var bertEmbeddings = func(modelFile string) (interface{}, error) {
+	return bert.New(modelFile)
+}
+
+var bloomzLM = func(modelFile string) (interface{}, error) {
+	return bloomz.New(modelFile)
+}
+
+var transformersLM = func(modelFile string) (interface{}, error) {
+	return transformers.New(modelFile)
+}
+
+var stableDiffusion = func(assetDir string) (interface{}, error) {
+	return stablediffusion.New(assetDir)
+}
+
+var whisperModel = func(modelFile string) (interface{}, error) {
+	return whisper.New(modelFile)
+}
+
+func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		return llama.New(s, opts...)
+	}
+}
+
+func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		return gpt4all.New(s, opts...)
+	}
+}
+
+func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		log.Debug().Msgf("Loading RWKV", s, tokenFile)
+
+		model := rwkv.LoadFiles(s, tokenFile, threads)
+		if model == nil {
+			return nil, fmt.Errorf("could not load model")
+		}
+		return model, nil
+	}
+}
+
+func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
+	log.Debug().Msgf("Loading model %s from %s", backendString, modelFile)
+	switch strings.ToLower(backendString) {
+	case LlamaBackend:
+		return ml.LoadModel(modelFile, llamaLM(llamaOpts...))
+	case BloomzBackend:
+		return ml.LoadModel(modelFile, bloomzLM)
+	case GPTJBackend:
+		return ml.LoadModel(modelFile, gptJ)
+	case DollyBackend:
+		return ml.LoadModel(modelFile, dolly)
+	case MPTBackend:
+		return ml.LoadModel(modelFile, mpt)
+	case Gpt2Backend:
+		return ml.LoadModel(modelFile, transformersLM)
+	case GPTNeoXBackend:
+		return ml.LoadModel(modelFile, gptNeoX)
+	case ReplitBackend:
+		return ml.LoadModel(modelFile, replit)
+	case StableDiffusionBackend:
+		return ml.LoadModel(modelFile, stableDiffusion)
+	case StarcoderBackend:
+		return ml.LoadModel(modelFile, starCoder)
+	case Gpt4AllLlamaBackend:
+		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.LLaMAType)))
+	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)
+	default:
+		return nil, fmt.Errorf("backend unsupported: %s", backendString)
+	}
+}
+
+func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (interface{}, error) {
+	log.Debug().Msgf("Loading model '%s' greedly", modelFile)
+
+	ml.mu.Lock()
+	m, exists := ml.models[modelFile]
+	if exists {
+		log.Debug().Msgf("Model '%s' already loaded", modelFile)
+		ml.mu.Unlock()
+		return m, nil
+	}
+	ml.mu.Unlock()
+	var err error
+
+	for _, b := range backends {
+		if b == BloomzBackend || b == WhisperBackend || b == RwkvBackend { // do not autoload bloomz/whisper/rwkv
+			continue
+		}
+		log.Debug().Msgf("[%s] Attempting to load", b)
+		model, modelerr := ml.BackendLoader(b, modelFile, llamaOpts, threads)
+		if modelerr == nil && model != nil {
+			log.Debug().Msgf("[%s] Loads OK", b)
+			return model, nil
+		} else if modelerr != nil {
+			err = multierror.Append(err, modelerr)
+			log.Debug().Msgf("[%s] Fails: %s", b, modelerr.Error())
+		}
+	}
+
+	return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
+}

pkg/model/loader.go

@@ -11,34 +11,21 @@ import (
 	"text/template"
 
 	"github.com/rs/zerolog/log"
-
-	rwkv "github.com/donomii/go-rwkv.cpp"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
-	llama "github.com/go-skynet/go-llama.cpp"
 )
 
 type ModelLoader struct {
 	ModelPath string
 	mu        sync.Mutex
-
-	models            map[string]*llama.LLama
-	gptmodels         map[string]*gptj.GPTJ
-	gpt2models        map[string]*gpt2.GPT2
-	gptstablelmmodels map[string]*gpt2.StableLM
-	rwkv              map[string]*rwkv.RwkvState
-	promptsTemplates  map[string]*template.Template
+	// TODO: this needs generics
+	models           map[string]interface{}
+	promptsTemplates map[string]*template.Template
 }
 
 func NewModelLoader(modelPath string) *ModelLoader {
 	return &ModelLoader{
-		ModelPath:         modelPath,
-		gpt2models:        make(map[string]*gpt2.GPT2),
-		gptmodels:         make(map[string]*gptj.GPTJ),
-		gptstablelmmodels: make(map[string]*gpt2.StableLM),
-		models:            make(map[string]*llama.LLama),
-		rwkv:              make(map[string]*rwkv.RwkvState),
-		promptsTemplates:  make(map[string]*template.Template),
+		ModelPath:        modelPath,
+		models:           make(map[string]interface{}),
+		promptsTemplates: make(map[string]*template.Template),
 	}
 }
 
@@ -123,143 +110,11 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
 	return nil
 }
 
-func (ml *ModelLoader) LoadStableLMModel(modelName string) (*gpt2.StableLM, error) {
+func (ml *ModelLoader) LoadModel(modelName string, loader func(string) (interface{}, error)) (interface{}, error) {
 	ml.mu.Lock()
 	defer ml.mu.Unlock()
 
 	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.NewStableLM(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptstablelmmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gpt2models[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gpt2models[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gptj.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadRWKV(modelName, tokenFile string, threads uint32) (*rwkv.RwkvState, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.rwkv[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	tokenPath := filepath.Join(ml.ModelPath, tokenFile)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model := rwkv.LoadFiles(modelFile, tokenPath, threads)
-	if model == nil {
-		return nil, fmt.Errorf("could not load model")
-	}
-
-	ml.rwkv[modelName] = model
-	return model, nil
-}
-
-func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
 	if m, ok := ml.models[modelName]; ok {
 		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
 		return m, nil
@@ -269,7 +124,7 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 	modelFile := filepath.Join(ml.ModelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
 
-	model, err := llama.New(modelFile, opts...)
+	model, err := loader(modelFile)
 	if err != nil {
 		return nil, err
 	}
@@ -280,5 +135,5 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 	}
 
 	ml.models[modelName] = model
-	return model, err
+	return model, nil
 }

pkg/stablediffusion/generate.go

@@ -0,0 +1,23 @@
+//go:build stablediffusion
+// +build stablediffusion
+
+package stablediffusion
+
+import (
+	stableDiffusion "github.com/mudler/go-stable-diffusion"
+)
+
+func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
+	return stableDiffusion.GenerateImage(
+		height,
+		width,
+		mode,
+		step,
+		seed,
+		positive_prompt,
+		negative_prompt,
+		dst,
+		"",
+		asset_dir,
+	)
+}

pkg/stablediffusion/generate_unsupported.go

@@ -0,0 +1,10 @@
+//go:build !stablediffusion
+// +build !stablediffusion
+
+package stablediffusion
+
+import "fmt"
+
+func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
+	return fmt.Errorf("This version of LocalAI was built without the stablediffusion tag")
+}

pkg/stablediffusion/stablediffusion.go

@@ -0,0 +1,20 @@
+package stablediffusion
+
+import "os"
+
+type StableDiffusion struct {
+	assetDir string
+}
+
+func New(assetDir string) (*StableDiffusion, error) {
+	if _, err := os.Stat(assetDir); err != nil {
+		return nil, err
+	}
+	return &StableDiffusion{
+		assetDir: assetDir,
+	}, nil
+}
+
+func (s *StableDiffusion) GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string) error {
+	return GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst, s.assetDir)
+}

pkg/whisper/whisper.go

@@ -0,0 +1,90 @@
+package whisper
+
+import (
+	"fmt"
+	"os"
+	"os/exec"
+	"path/filepath"
+
+	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	wav "github.com/go-audio/wav"
+)
+
+func sh(c string) (string, error) {
+	cmd := exec.Command("/bin/sh", "-c", c)
+	cmd.Env = os.Environ()
+	o, err := cmd.CombinedOutput()
+	return string(o), err
+}
+
+// AudioToWav converts audio to wav for transcribe. It bashes out to ffmpeg
+// TODO: use https://github.com/mccoyst/ogg?
+func audioToWav(src, dst string) error {
+	out, err := sh(fmt.Sprintf("ffmpeg -i %s -format s16le -ar 16000 -ac 1 -acodec pcm_s16le %s", src, dst))
+	if err != nil {
+		return fmt.Errorf("error: %w out: %s", err, out)
+	}
+
+	return nil
+}
+
+func Transcript(model whisper.Model, audiopath, language string, threads uint) (string, error) {
+
+	dir, err := os.MkdirTemp("", "whisper")
+	if err != nil {
+		return "", err
+	}
+	defer os.RemoveAll(dir)
+
+	convertedPath := filepath.Join(dir, "converted.wav")
+
+	if err := audioToWav(audiopath, convertedPath); err != nil {
+		return "", err
+	}
+
+	// Open samples
+	fh, err := os.Open(convertedPath)
+	if err != nil {
+		return "", err
+	}
+	defer fh.Close()
+
+	// Read samples
+	d := wav.NewDecoder(fh)
+	buf, err := d.FullPCMBuffer()
+	if err != nil {
+		return "", err
+	}
+
+	data := buf.AsFloat32Buffer().Data
+
+	// Process samples
+	context, err := model.NewContext()
+	if err != nil {
+		return "", err
+
+	}
+
+	context.SetThreads(threads)
+
+	if language != "" {
+		context.SetLanguage(language)
+	} else {
+		context.SetLanguage("auto")
+	}
+
+	if err := context.Process(data, nil); err != nil {
+		return "", err
+	}
+
+	text := ""
+	for {
+		segment, err := context.NextSegment()
+		if err != nil {
+			break
+		}
+		text += segment.Text
+	}
+
+	return text, nil
+}

tests/fixtures/gallery_simple.yaml

@@ -0,0 +1,40 @@
+name: "cerebras"
+description: |
+    cerebras
+license: "Apache 2.0"
+
+config_file: |
+    parameters:
+      model: cerebras
+      top_k: 80
+      temperature: 0.2
+      top_p: 0.7
+    context_size: 1024
+    stopwords:
+    - "HUMAN:"
+    - "GPT:"
+    roles:
+      user: ""
+      system: ""
+    template:
+      completion: "cerebras-completion"
+      chat: cerebras-chat
+
+files:
+    - filename: "cerebras"
+      sha256: "c947051ae4dba9530ca55d923a7a484acd65664c8633462c8ccd4bb7848f2c65"
+      uri: "https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerebras-111m-q4_2.bin"
+
+prompt_templates:
+    - name: "cerebras-completion"
+      content: |
+        Complete the prompt
+        ### Prompt:
+        {{.Input}}
+        ### Response:
+    - name: "cerebras-chat"
+      content: |
+        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:

tests/models_fixtures/completion.tmpl

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

tests/models_fixtures/config.yaml

@@ -1,8 +1,10 @@
 - name: list1
   parameters:
     model: testmodel
-  context_size: 512
-  threads: 10
+    top_p: 80
+    top_k: 0.9
+    temperature: 0.1
+  context_size: 10
   stopwords:
   - "HUMAN:"
   - "### Response:"
@@ -14,9 +16,11 @@
     chat: ggml-gpt4all-j
 - name: list2
   parameters:
+    top_p: 80
+    top_k: 0.9
+    temperature: 0.1
     model: testmodel
-  context_size: 512
-  threads: 10
+  context_size: 10
   stopwords:
   - "HUMAN:"
   - "### Response:"

tests/models_fixtures/embeddings.yaml

@@ -0,0 +1,5 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+backend: bert-embeddings
+embeddings: true

tests/models_fixtures/ggml-gpt4all-j.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:

tests/models_fixtures/gpt4.yaml

@@ -1,8 +1,10 @@
 name: gpt4all
 parameters:
   model: testmodel
-context_size: 512
-threads: 10
+  top_p: 80
+  top_k: 0.9
+  temperature: 0.1
+context_size: 10
 stopwords:
 - "HUMAN:"
 - "### Response:"