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70 lines
1.9 KiB
70 lines
1.9 KiB
package openai
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import (
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"encoding/json"
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"fmt"
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"github.com/go-skynet/LocalAI/api/backend"
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config "github.com/go-skynet/LocalAI/api/config"
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"github.com/go-skynet/LocalAI/api/options"
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"github.com/gofiber/fiber/v2"
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"github.com/rs/zerolog/log"
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)
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// https://platform.openai.com/docs/api-reference/embeddings
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func EmbeddingsEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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model, input, err := readInput(c, o.Loader, true)
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if err != nil {
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return fmt.Errorf("failed reading parameters from request:%w", err)
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}
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config, input, err := readConfig(model, input, cm, o.Loader, o.Debug, o.Threads, o.ContextSize, o.F16)
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if err != nil {
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return fmt.Errorf("failed reading parameters from request:%w", err)
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}
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log.Debug().Msgf("Parameter Config: %+v", config)
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items := []Item{}
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for i, s := range config.InputToken {
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// get the model function to call for the result
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embedFn, err := backend.ModelEmbedding("", s, o.Loader, *config, o)
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if err != nil {
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return err
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}
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embeddings, err := embedFn()
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if err != nil {
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return err
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}
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items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
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}
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for i, s := range config.InputStrings {
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// get the model function to call for the result
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embedFn, err := backend.ModelEmbedding(s, []int{}, o.Loader, *config, o)
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if err != nil {
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return err
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}
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embeddings, err := embedFn()
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if err != nil {
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return err
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}
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items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
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}
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resp := &OpenAIResponse{
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Model: input.Model, // we have to return what the user sent here, due to OpenAI spec.
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Data: items,
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Object: "list",
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}
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jsonResult, _ := json.Marshal(resp)
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log.Debug().Msgf("Response: %s", jsonResult)
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// Return the prediction in the response body
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return c.JSON(resp)
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}
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}
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