mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-20 21:23:10 +00:00
318 lines
8.1 KiB
Go
318 lines
8.1 KiB
Go
package openai
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import (
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"context"
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"encoding/json"
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"fmt"
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"github.com/gofiber/fiber/v2"
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"github.com/google/uuid"
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"github.com/mudler/LocalAI/core/config"
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fiberContext "github.com/mudler/LocalAI/core/http/ctx"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/pkg/functions"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/LocalAI/pkg/templates"
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"github.com/mudler/LocalAI/pkg/utils"
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"github.com/rs/zerolog/log"
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)
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type correlationIDKeyType string
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// CorrelationIDKey to track request across process boundary
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const CorrelationIDKey correlationIDKeyType = "correlationID"
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func readRequest(c *fiber.Ctx, cl *config.BackendConfigLoader, ml *model.ModelLoader, o *config.ApplicationConfig, firstModel bool) (string, *schema.OpenAIRequest, error) {
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input := new(schema.OpenAIRequest)
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// Get input data from the request body
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if err := c.BodyParser(input); err != nil {
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return "", nil, fmt.Errorf("failed parsing request body: %w", err)
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}
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received, _ := json.Marshal(input)
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// Extract or generate the correlation ID
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correlationID := c.Get("X-Correlation-ID", uuid.New().String())
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ctx, cancel := context.WithCancel(o.Context)
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// Add the correlation ID to the new context
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ctxWithCorrelationID := context.WithValue(ctx, CorrelationIDKey, correlationID)
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input.Context = ctxWithCorrelationID
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input.Cancel = cancel
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log.Debug().Msgf("Request received: %s", string(received))
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modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.Model, firstModel)
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return modelFile, input, err
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}
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func updateRequestConfig(config *config.BackendConfig, input *schema.OpenAIRequest) {
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if input.Echo {
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config.Echo = input.Echo
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}
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if input.TopK != nil {
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config.TopK = input.TopK
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}
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if input.TopP != nil {
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config.TopP = input.TopP
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}
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if input.Backend != "" {
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config.Backend = input.Backend
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}
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if input.ClipSkip != 0 {
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config.Diffusers.ClipSkip = input.ClipSkip
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}
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if input.ModelBaseName != "" {
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config.AutoGPTQ.ModelBaseName = input.ModelBaseName
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}
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if input.NegativePromptScale != 0 {
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config.NegativePromptScale = input.NegativePromptScale
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}
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if input.UseFastTokenizer {
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config.UseFastTokenizer = input.UseFastTokenizer
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}
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if input.NegativePrompt != "" {
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config.NegativePrompt = input.NegativePrompt
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}
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if input.RopeFreqBase != 0 {
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config.RopeFreqBase = input.RopeFreqBase
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}
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if input.RopeFreqScale != 0 {
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config.RopeFreqScale = input.RopeFreqScale
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}
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if input.Grammar != "" {
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config.Grammar = input.Grammar
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}
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if input.Temperature != nil {
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config.Temperature = input.Temperature
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}
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if input.Maxtokens != nil {
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config.Maxtokens = input.Maxtokens
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}
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if input.ResponseFormat != nil {
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switch responseFormat := input.ResponseFormat.(type) {
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case string:
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config.ResponseFormat = responseFormat
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case map[string]interface{}:
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config.ResponseFormatMap = responseFormat
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}
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}
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switch stop := input.Stop.(type) {
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case string:
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if stop != "" {
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config.StopWords = append(config.StopWords, stop)
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}
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case []interface{}:
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for _, pp := range stop {
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if s, ok := pp.(string); ok {
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config.StopWords = append(config.StopWords, s)
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}
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}
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}
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if len(input.Tools) > 0 {
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for _, tool := range input.Tools {
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input.Functions = append(input.Functions, tool.Function)
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}
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}
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if input.ToolsChoice != nil {
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var toolChoice functions.Tool
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switch content := input.ToolsChoice.(type) {
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case string:
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_ = json.Unmarshal([]byte(content), &toolChoice)
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case map[string]interface{}:
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dat, _ := json.Marshal(content)
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_ = json.Unmarshal(dat, &toolChoice)
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}
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input.FunctionCall = map[string]interface{}{
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"name": toolChoice.Function.Name,
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}
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}
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// Decode each request's message content
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imgIndex, vidIndex, audioIndex := 0, 0, 0
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for i, m := range input.Messages {
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nrOfImgsInMessage := 0
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nrOfVideosInMessage := 0
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nrOfAudiosInMessage := 0
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switch content := m.Content.(type) {
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case string:
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input.Messages[i].StringContent = content
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case []interface{}:
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dat, _ := json.Marshal(content)
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c := []schema.Content{}
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json.Unmarshal(dat, &c)
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textContent := ""
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// we will template this at the end
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CONTENT:
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for _, pp := range c {
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switch pp.Type {
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case "text":
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textContent += pp.Text
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//input.Messages[i].StringContent = pp.Text
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case "video", "video_url":
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// Decode content as base64 either if it's an URL or base64 text
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base64, err := utils.GetContentURIAsBase64(pp.VideoURL.URL)
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if err != nil {
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log.Error().Msgf("Failed encoding video: %s", err)
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continue CONTENT
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}
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input.Messages[i].StringVideos = append(input.Messages[i].StringVideos, base64) // TODO: make sure that we only return base64 stuff
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vidIndex++
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nrOfVideosInMessage++
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case "audio_url", "audio":
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// Decode content as base64 either if it's an URL or base64 text
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base64, err := utils.GetContentURIAsBase64(pp.AudioURL.URL)
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if err != nil {
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log.Error().Msgf("Failed encoding image: %s", err)
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continue CONTENT
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}
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input.Messages[i].StringAudios = append(input.Messages[i].StringAudios, base64) // TODO: make sure that we only return base64 stuff
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audioIndex++
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nrOfAudiosInMessage++
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case "image_url", "image":
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// Decode content as base64 either if it's an URL or base64 text
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base64, err := utils.GetContentURIAsBase64(pp.ImageURL.URL)
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if err != nil {
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log.Error().Msgf("Failed encoding image: %s", err)
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continue CONTENT
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}
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input.Messages[i].StringImages = append(input.Messages[i].StringImages, base64) // TODO: make sure that we only return base64 stuff
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imgIndex++
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nrOfImgsInMessage++
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}
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}
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input.Messages[i].StringContent, _ = templates.TemplateMultiModal(config.TemplateConfig.Multimodal, templates.MultiModalOptions{
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TotalImages: imgIndex,
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TotalVideos: vidIndex,
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TotalAudios: audioIndex,
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ImagesInMessage: nrOfImgsInMessage,
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VideosInMessage: nrOfVideosInMessage,
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AudiosInMessage: nrOfAudiosInMessage,
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}, textContent)
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}
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}
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if input.RepeatPenalty != 0 {
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config.RepeatPenalty = input.RepeatPenalty
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}
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if input.FrequencyPenalty != 0 {
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config.FrequencyPenalty = input.FrequencyPenalty
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}
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if input.PresencePenalty != 0 {
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config.PresencePenalty = input.PresencePenalty
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}
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if input.Keep != 0 {
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config.Keep = input.Keep
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}
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if input.Batch != 0 {
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config.Batch = input.Batch
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}
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if input.IgnoreEOS {
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config.IgnoreEOS = input.IgnoreEOS
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}
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if input.Seed != nil {
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config.Seed = input.Seed
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}
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if input.TypicalP != nil {
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config.TypicalP = input.TypicalP
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}
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switch inputs := input.Input.(type) {
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case string:
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if inputs != "" {
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config.InputStrings = append(config.InputStrings, inputs)
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}
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case []interface{}:
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for _, pp := range inputs {
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switch i := pp.(type) {
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case string:
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config.InputStrings = append(config.InputStrings, i)
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case []interface{}:
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tokens := []int{}
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for _, ii := range i {
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tokens = append(tokens, int(ii.(float64)))
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}
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config.InputToken = append(config.InputToken, tokens)
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}
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}
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}
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// Can be either a string or an object
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switch fnc := input.FunctionCall.(type) {
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case string:
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if fnc != "" {
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config.SetFunctionCallString(fnc)
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}
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case map[string]interface{}:
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var name string
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n, exists := fnc["name"]
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if exists {
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nn, e := n.(string)
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if e {
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name = nn
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}
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}
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config.SetFunctionCallNameString(name)
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}
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switch p := input.Prompt.(type) {
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case string:
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config.PromptStrings = append(config.PromptStrings, p)
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case []interface{}:
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for _, pp := range p {
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if s, ok := pp.(string); ok {
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config.PromptStrings = append(config.PromptStrings, s)
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}
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}
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}
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}
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func mergeRequestWithConfig(modelFile string, input *schema.OpenAIRequest, cm *config.BackendConfigLoader, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*config.BackendConfig, *schema.OpenAIRequest, error) {
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cfg, err := cm.LoadBackendConfigFileByName(modelFile, loader.ModelPath,
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config.LoadOptionDebug(debug),
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config.LoadOptionThreads(threads),
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config.LoadOptionContextSize(ctx),
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config.LoadOptionF16(f16),
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)
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// Set the parameters for the language model prediction
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updateRequestConfig(cfg, input)
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if !cfg.Validate() {
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return nil, nil, fmt.Errorf("failed to validate config")
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}
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return cfg, input, err
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}
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