mirror of
https://github.com/mudler/LocalAI.git
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Merge branch 'master' into fix_aarch64
This commit is contained in:
commit
9080e6442d
4
.github/workflows/image-pr.yml
vendored
4
.github/workflows/image-pr.yml
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@ -46,7 +46,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda12-ffmpeg'
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@ -119,7 +119,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda12-ffmpeg-core'
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16
.github/workflows/image.yml
vendored
16
.github/workflows/image.yml
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@ -64,7 +64,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "11"
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cuda-minor-version: "8"
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cuda-minor-version: "7"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda11'
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@ -75,7 +75,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda12'
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@ -86,7 +86,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "11"
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cuda-minor-version: "8"
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cuda-minor-version: "7"
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platforms: 'linux/amd64'
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tag-latest: 'auto'
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tag-suffix: '-cublas-cuda11-ffmpeg'
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@ -100,7 +100,7 @@ jobs:
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makeflags: "--jobs=3 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'auto'
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tag-suffix: '-cublas-cuda12-ffmpeg'
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@ -274,7 +274,7 @@ jobs:
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makeflags: "--jobs=4 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "11"
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cuda-minor-version: "8"
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cuda-minor-version: "7"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda11-core'
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@ -285,7 +285,7 @@ jobs:
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makeflags: "--jobs=4 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda12-core'
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@ -296,7 +296,7 @@ jobs:
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makeflags: "--jobs=4 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "11"
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cuda-minor-version: "8"
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cuda-minor-version: "7"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda11-ffmpeg-core'
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@ -307,7 +307,7 @@ jobs:
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makeflags: "--jobs=4 --output-sync=target"
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- build-type: 'cublas'
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cuda-major-version: "12"
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cuda-minor-version: "5"
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cuda-minor-version: "4"
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platforms: 'linux/amd64'
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tag-latest: 'false'
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tag-suffix: '-cublas-cuda12-ffmpeg-core'
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2
.github/workflows/image_build.yml
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2
.github/workflows/image_build.yml
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@ -23,7 +23,7 @@ on:
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type: string
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cuda-minor-version:
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description: 'CUDA minor version'
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default: "5"
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default: "4"
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type: string
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platforms:
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description: 'Platforms'
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2
.github/workflows/release.yaml
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2
.github/workflows/release.yaml
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@ -40,7 +40,7 @@ jobs:
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sudo apt-get update
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sudo apt-get install -y cuda-cross-aarch64 cuda-nvcc-cross-aarch64-${CUDA_VERSION} libcublas-cross-aarch64-${CUDA_VERSION}
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env:
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CUDA_VERSION: 12-5
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CUDA_VERSION: 12-4
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- name: Cache grpc
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id: cache-grpc
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uses: actions/cache@v4
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@ -99,7 +99,7 @@ FROM requirements-${IMAGE_TYPE} AS requirements-drivers
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=12
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ARG CUDA_MINOR_VERSION=5
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ARG CUDA_MINOR_VERSION=4
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ENV BUILD_TYPE=${BUILD_TYPE}
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2
Makefile
2
Makefile
@ -425,7 +425,7 @@ prepare-e2e:
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mkdir -p $(TEST_DIR)
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cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
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test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
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docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=5 --build-arg FFMPEG=true -t localai-tests .
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docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=4 --build-arg FFMPEG=true -t localai-tests .
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run-e2e-image:
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ls -liah $(abspath ./tests/e2e-fixtures)
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@ -123,7 +123,10 @@ func getFileFromRequest(c *fiber.Ctx) (*File, error) {
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return nil, fmt.Errorf("unable to find file id %s", id)
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}
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// GetFilesEndpoint https://platform.openai.com/docs/api-reference/files/retrieve
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// GetFilesEndpoint is the OpenAI API endpoint to get files https://platform.openai.com/docs/api-reference/files/retrieve
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// @Summary Returns information about a specific file.
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// @Success 200 {object} File "Response"
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// @Router /v1/files/{file_id} [get]
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func GetFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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file, err := getFileFromRequest(c)
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@ -135,13 +138,17 @@ func GetFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Applicat
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}
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}
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// DeleteFilesEndpoint https://platform.openai.com/docs/api-reference/files/delete
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type DeleteStatus struct {
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Id string
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Object string
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Deleted bool
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}
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// DeleteFilesEndpoint is the OpenAI API endpoint to delete files https://platform.openai.com/docs/api-reference/files/delete
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// @Summary Delete a file.
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// @Success 200 {object} DeleteStatus "Response"
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// @Router /v1/files/{file_id} [delete]
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func DeleteFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
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type DeleteStatus struct {
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Id string
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Object string
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Deleted bool
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}
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return func(c *fiber.Ctx) error {
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file, err := getFileFromRequest(c)
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@ -174,7 +181,11 @@ func DeleteFilesEndpoint(cm *config.BackendConfigLoader, appConfig *config.Appli
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}
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}
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// GetFilesContentsEndpoint https://platform.openai.com/docs/api-reference/files/retrieve-contents
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// GetFilesContentsEndpoint is the OpenAI API endpoint to get files content https://platform.openai.com/docs/api-reference/files/retrieve-contents
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// @Summary Returns information about a specific file.
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// @Success 200 {string} binary "file"
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// @Router /v1/files/{file_id}/content [get]
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// GetFilesContentsEndpoint
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func GetFilesContentsEndpoint(cm *config.BackendConfigLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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file, err := getFileFromRequest(c)
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@ -6,6 +6,10 @@ import (
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"github.com/mudler/LocalAI/core/services"
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)
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// ListModelsEndpoint is the OpenAI Models API endpoint https://platform.openai.com/docs/api-reference/models
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// @Summary List and describe the various models available in the API.
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// @Success 200 {object} schema.ModelsDataResponse "Response"
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// @Router /v1/models [get]
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func ListModelsEndpoint(lms *services.ListModelsService) func(ctx *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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// If blank, no filter is applied.
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@ -18,10 +22,7 @@ func ListModelsEndpoint(lms *services.ListModelsService) func(ctx *fiber.Ctx) er
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if err != nil {
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return err
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}
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return c.JSON(struct {
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Object string `json:"object"`
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Data []schema.OpenAIModel `json:"data"`
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}{
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return c.JSON(schema.ModelsDataResponse{
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Object: "list",
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Data: dataModels,
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})
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@ -348,11 +348,15 @@ func newNodeOpts(token string) ([]node.Option, error) {
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llger := logger.New(log.LevelFatal)
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defaultInterval := 10 * time.Second
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// TODO: move this up, expose more config options when creating a node
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noDHT := os.Getenv("LOCALAI_P2P_DISABLE_DHT") == "true"
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noLimits := os.Getenv("LOCALAI_P2P_DISABLE_LIMITS") == "true"
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loglevel := "info"
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c := config.Config{
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Limit: config.ResourceLimit{
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Enable: true,
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Enable: !noLimits,
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MaxConns: 100,
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},
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NetworkToken: token,
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@ -372,7 +376,7 @@ func newNodeOpts(token string) ([]node.Option, error) {
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RateLimitInterval: defaultInterval,
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},
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Discovery: config.Discovery{
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DHT: true,
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DHT: noDHT,
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MDNS: true,
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Interval: 30 * time.Second,
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},
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@ -155,3 +155,8 @@ type OpenAIRequest struct {
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// AutoGPTQ
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ModelBaseName string `json:"model_base_name" yaml:"model_base_name"`
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}
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type ModelsDataResponse struct {
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Object string `json:"object"`
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Data []OpenAIModel `json:"data"`
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}
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@ -98,3 +98,14 @@ The server logs should indicate that new workers are being discovered.
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- If running in p2p mode with container images, make sure you start the container with `--net host` or `network_mode: host` in the docker-compose file.
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- Only a single model is supported currently.
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- Ensure the server detects new workers before starting inference. Currently, additional workers cannot be added once inference has begun.
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## Environment Variables
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There are options that can be tweaked or parameters that can be set using environment variables
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| Environment Variable | Description |
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|----------------------|-------------|
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| **LOCALAI_P2P_DISABLE_DHT** | Set to "true" to disable DHT and enable p2p layer to be local only (mDNS) |
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| **LOCALAI_P2P_DISABLE_LIMITS** | Set to "true" to disable connection limits and resources management |
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| **LOCALAI_P2P_TOKEN** | Set the token for the p2p network |
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|
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