mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-19 12:47:54 +00:00
114 lines
3.3 KiB
Go
114 lines
3.3 KiB
Go
package api
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import (
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"context"
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"errors"
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model "github.com/go-skynet/LocalAI/pkg/model"
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"github.com/gofiber/fiber/v2"
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"github.com/gofiber/fiber/v2/middleware/cors"
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"github.com/gofiber/fiber/v2/middleware/logger"
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"github.com/gofiber/fiber/v2/middleware/recover"
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"github.com/rs/zerolog"
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"github.com/rs/zerolog/log"
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)
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func App(c context.Context, configFile string, loader *model.ModelLoader, uploadLimitMB, threads, ctxSize int, f16 bool, debug, disableMessage bool, imageDir string) *fiber.App {
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zerolog.SetGlobalLevel(zerolog.InfoLevel)
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if debug {
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zerolog.SetGlobalLevel(zerolog.DebugLevel)
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}
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// Return errors as JSON responses
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app := fiber.New(fiber.Config{
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BodyLimit: uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
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DisableStartupMessage: disableMessage,
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// Override default error handler
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ErrorHandler: func(ctx *fiber.Ctx, err error) error {
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// Status code defaults to 500
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code := fiber.StatusInternalServerError
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// Retrieve the custom status code if it's a *fiber.Error
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var e *fiber.Error
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if errors.As(err, &e) {
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code = e.Code
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}
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// Send custom error page
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return ctx.Status(code).JSON(
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ErrorResponse{
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Error: &APIError{Message: err.Error(), Code: code},
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},
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)
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},
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})
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if debug {
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app.Use(logger.New(logger.Config{
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Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
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}))
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}
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cm := NewConfigMerger()
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if err := cm.LoadConfigs(loader.ModelPath); err != nil {
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log.Error().Msgf("error loading config files: %s", err.Error())
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}
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if configFile != "" {
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if err := cm.LoadConfigFile(configFile); err != nil {
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log.Error().Msgf("error loading config file: %s", err.Error())
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}
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}
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if debug {
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for _, v := range cm.ListConfigs() {
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cfg, _ := cm.GetConfig(v)
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log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
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}
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}
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// Default middleware config
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app.Use(recover.New())
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app.Use(cors.New())
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// LocalAI API endpoints
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applier := newGalleryApplier(loader.ModelPath)
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applier.start(c, cm)
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app.Post("/models/apply", applyModelGallery(loader.ModelPath, cm, applier.C))
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app.Get("/models/jobs/:uuid", getOpStatus(applier))
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// openAI compatible API endpoint
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// chat
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app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// edit
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app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// completion
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app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// embeddings
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app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// audio
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app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, debug, loader, threads, ctxSize, f16))
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// images
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app.Post("/v1/images/generations", imageEndpoint(cm, debug, loader, imageDir))
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if imageDir != "" {
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app.Static("/generated-images", imageDir)
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}
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// models
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app.Get("/v1/models", listModels(loader, cm))
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app.Get("/models", listModels(loader, cm))
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return app
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}
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