LocalAI/api/api.go

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package api
import (
"encoding/json"
"errors"
"fmt"
"os"
"strings"
config "github.com/go-skynet/LocalAI/api/config"
"github.com/go-skynet/LocalAI/api/localai"
"github.com/go-skynet/LocalAI/api/openai"
"github.com/go-skynet/LocalAI/api/options"
"github.com/go-skynet/LocalAI/api/schema"
"github.com/go-skynet/LocalAI/internal"
"github.com/go-skynet/LocalAI/metrics"
"github.com/go-skynet/LocalAI/pkg/assets"
"github.com/go-skynet/LocalAI/pkg/model"
"github.com/go-skynet/LocalAI/pkg/startup"
"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 Startup(opts ...options.AppOption) (*options.Option, *config.ConfigLoader, error) {
options := options.NewOptions(opts...)
zerolog.SetGlobalLevel(zerolog.InfoLevel)
if options.Debug {
zerolog.SetGlobalLevel(zerolog.DebugLevel)
}
log.Info().Msgf("Starting LocalAI using %d threads, with models path: %s", options.Threads, options.Loader.ModelPath)
log.Info().Msgf("LocalAI version: %s", internal.PrintableVersion())
startup.PreloadModelsConfigurations(options.ModelLibraryURL, options.Loader.ModelPath, options.ModelsURL...)
cl := config.NewConfigLoader()
if err := cl.LoadConfigs(options.Loader.ModelPath); err != nil {
log.Error().Msgf("error loading config files: %s", err.Error())
}
if options.ConfigFile != "" {
if err := cl.LoadConfigFile(options.ConfigFile); err != nil {
log.Error().Msgf("error loading config file: %s", err.Error())
}
}
if err := cl.Preload(options.Loader.ModelPath); err != nil {
log.Error().Msgf("error downloading models: %s", err.Error())
}
if options.PreloadJSONModels != "" {
if err := localai.ApplyGalleryFromString(options.Loader.ModelPath, options.PreloadJSONModels, cl, options.Galleries); err != nil {
return nil, nil, err
}
}
if options.PreloadModelsFromPath != "" {
if err := localai.ApplyGalleryFromFile(options.Loader.ModelPath, options.PreloadModelsFromPath, cl, options.Galleries); err != nil {
return nil, nil, err
}
}
if options.Debug {
for _, v := range cl.ListConfigs() {
cfg, _ := cl.GetConfig(v)
log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
}
}
if options.AssetsDestination != "" {
// Extract files from the embedded FS
err := assets.ExtractFiles(options.BackendAssets, options.AssetsDestination)
log.Debug().Msgf("Extracting backend assets files to %s", options.AssetsDestination)
if err != nil {
log.Warn().Msgf("Failed extracting backend assets files: %s (might be required for some backends to work properly, like gpt4all)", err)
}
}
// turn off any process that was started by GRPC if the context is canceled
go func() {
<-options.Context.Done()
log.Debug().Msgf("Context canceled, shutting down")
options.Loader.StopAllGRPC()
}()
if options.WatchDog {
wd := model.NewWatchDog(
options.Loader,
options.WatchDogBusyTimeout,
options.WatchDogIdleTimeout,
options.WatchDogBusy,
options.WatchDogIdle)
options.Loader.SetWatchDog(wd)
go wd.Run()
go func() {
<-options.Context.Done()
log.Debug().Msgf("Context canceled, shutting down")
wd.Shutdown()
}()
}
return options, cl, nil
}
func App(opts ...options.AppOption) (*fiber.App, error) {
options, cl, err := Startup(opts...)
if err != nil {
return nil, fmt.Errorf("failed basic startup tasks with error %s", err.Error())
}
// Return errors as JSON responses
app := fiber.New(fiber.Config{
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
code := fiber.StatusInternalServerError
// Retrieve the custom status code if it's a *fiber.Error
var e *fiber.Error
if errors.As(err, &e) {
code = e.Code
}
// Send custom error page
return ctx.Status(code).JSON(
schema.ErrorResponse{
Error: &schema.APIError{Message: err.Error(), Code: code},
},
)
},
})
if options.Debug {
app.Use(logger.New(logger.Config{
Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
}))
}
// Default middleware config
if !options.Debug {
app.Use(recover.New())
}
if options.Metrics != nil {
app.Use(metrics.APIMiddleware(options.Metrics))
}
// Auth middleware checking if API key is valid. If no API key is set, no auth is required.
auth := func(c *fiber.Ctx) error {
if len(options.ApiKeys) == 0 {
return c.Next()
}
// Check for api_keys.json file
fileContent, err := os.ReadFile("api_keys.json")
if err == nil {
// Parse JSON content from the file
var fileKeys []string
err := json.Unmarshal(fileContent, &fileKeys)
if err != nil {
return c.Status(fiber.StatusInternalServerError).JSON(fiber.Map{"message": "Error parsing api_keys.json"})
}
// Add file keys to options.ApiKeys
options.ApiKeys = append(options.ApiKeys, fileKeys...)
}
if len(options.ApiKeys) == 0 {
return c.Next()
}
authHeader := c.Get("Authorization")
if authHeader == "" {
return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Authorization header missing"})
}
authHeaderParts := strings.Split(authHeader, " ")
if len(authHeaderParts) != 2 || authHeaderParts[0] != "Bearer" {
return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid Authorization header format"})
}
apiKey := authHeaderParts[1]
for _, key := range options.ApiKeys {
if apiKey == key {
return c.Next()
}
}
return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid API key"})
}
if options.CORS {
var c func(ctx *fiber.Ctx) error
if options.CORSAllowOrigins == "" {
c = cors.New()
} else {
c = cors.New(cors.Config{AllowOrigins: options.CORSAllowOrigins})
}
app.Use(c)
}
// LocalAI API endpoints
galleryService := localai.NewGalleryService(options.Loader.ModelPath)
galleryService.Start(options.Context, cl)
app.Get("/version", auth, func(c *fiber.Ctx) error {
return c.JSON(struct {
Version string `json:"version"`
}{Version: internal.PrintableVersion()})
})
// Make sure directories exists
os.MkdirAll(options.ImageDir, 0755)
os.MkdirAll(options.AudioDir, 0755)
os.MkdirAll(options.Loader.ModelPath, 0755)
modelGalleryService := localai.CreateModelGalleryService(options.Galleries, options.Loader.ModelPath, galleryService)
app.Post("/models/apply", auth, modelGalleryService.ApplyModelGalleryEndpoint())
app.Get("/models/available", auth, modelGalleryService.ListModelFromGalleryEndpoint())
app.Get("/models/galleries", auth, modelGalleryService.ListModelGalleriesEndpoint())
app.Post("/models/galleries", auth, modelGalleryService.AddModelGalleryEndpoint())
app.Delete("/models/galleries", auth, modelGalleryService.RemoveModelGalleryEndpoint())
app.Get("/models/jobs/:uuid", auth, modelGalleryService.GetOpStatusEndpoint())
app.Get("/models/jobs", auth, modelGalleryService.GetAllStatusEndpoint())
// openAI compatible API endpoint
// chat
app.Post("/v1/chat/completions", auth, openai.ChatEndpoint(cl, options))
app.Post("/chat/completions", auth, openai.ChatEndpoint(cl, options))
// edit
app.Post("/v1/edits", auth, openai.EditEndpoint(cl, options))
app.Post("/edits", auth, openai.EditEndpoint(cl, options))
// completion
app.Post("/v1/completions", auth, openai.CompletionEndpoint(cl, options))
app.Post("/completions", auth, openai.CompletionEndpoint(cl, options))
app.Post("/v1/engines/:model/completions", auth, openai.CompletionEndpoint(cl, options))
// embeddings
app.Post("/v1/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
app.Post("/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
app.Post("/v1/engines/:model/embeddings", auth, openai.EmbeddingsEndpoint(cl, options))
// audio
app.Post("/v1/audio/transcriptions", auth, openai.TranscriptEndpoint(cl, options))
app.Post("/tts", auth, localai.TTSEndpoint(cl, options))
// images
app.Post("/v1/images/generations", auth, openai.ImageEndpoint(cl, options))
if options.ImageDir != "" {
app.Static("/generated-images", options.ImageDir)
}
if options.AudioDir != "" {
app.Static("/generated-audio", options.AudioDir)
}
ok := func(c *fiber.Ctx) error {
return c.SendStatus(200)
}
// Kubernetes health checks
app.Get("/healthz", ok)
app.Get("/readyz", ok)
// Experimental Backend Statistics Module
backendMonitor := localai.NewBackendMonitor(cl, options) // Split out for now
app.Get("/backend/monitor", localai.BackendMonitorEndpoint(backendMonitor))
app.Post("/backend/shutdown", localai.BackendShutdownEndpoint(backendMonitor))
// models
app.Get("/v1/models", auth, openai.ListModelsEndpoint(options.Loader, cl))
app.Get("/models", auth, openai.ListModelsEndpoint(options.Loader, cl))
app.Get("/metrics", metrics.MetricsHandler())
return app, nil
}