mirror of
https://github.com/mudler/LocalAI.git
synced 2026-01-01 10:59:25 -05:00
104 lines
3.1 KiB
Go
104 lines
3.1 KiB
Go
package openai
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import (
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"encoding/json"
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"time"
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"github.com/labstack/echo/v4"
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"github.com/mudler/LocalAI/core/backend"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/http/middleware"
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"github.com/google/uuid"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/core/templates"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/xlog"
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)
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// EditEndpoint is the OpenAI edit API endpoint
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// @Summary OpenAI edit endpoint
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// @Param request body schema.OpenAIRequest true "query params"
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// @Success 200 {object} schema.OpenAIResponse "Response"
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// @Router /v1/edits [post]
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func EditEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, evaluator *templates.Evaluator, appConfig *config.ApplicationConfig) echo.HandlerFunc {
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return func(c echo.Context) error {
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input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.OpenAIRequest)
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if !ok || input.Model == "" {
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return echo.ErrBadRequest
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}
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// Opt-in extra usage flag
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extraUsage := c.Request().Header.Get("Extra-Usage") != ""
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config, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
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if !ok || config == nil {
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return echo.ErrBadRequest
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}
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xlog.Debug("Edit Endpoint Input", "input", input)
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xlog.Debug("Edit Endpoint Config", "config", *config)
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var result []schema.Choice
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totalTokenUsage := backend.TokenUsage{}
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for _, i := range config.InputStrings {
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templatedInput, err := evaluator.EvaluateTemplateForPrompt(templates.EditPromptTemplate, *config, templates.PromptTemplateData{
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Input: i,
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Instruction: input.Instruction,
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SystemPrompt: config.SystemPrompt,
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ReasoningEffort: input.ReasoningEffort,
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Metadata: input.Metadata,
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})
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if err == nil {
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i = templatedInput
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xlog.Debug("Template found, input modified", "input", i)
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}
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r, tokenUsage, err := ComputeChoices(input, i, config, cl, appConfig, ml, func(s string, c *[]schema.Choice) {
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*c = append(*c, schema.Choice{Text: s})
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}, nil)
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if err != nil {
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return err
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}
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totalTokenUsage.Prompt += tokenUsage.Prompt
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totalTokenUsage.Completion += tokenUsage.Completion
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totalTokenUsage.TimingTokenGeneration += tokenUsage.TimingTokenGeneration
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totalTokenUsage.TimingPromptProcessing += tokenUsage.TimingPromptProcessing
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result = append(result, r...)
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}
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usage := schema.OpenAIUsage{
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PromptTokens: totalTokenUsage.Prompt,
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CompletionTokens: totalTokenUsage.Completion,
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TotalTokens: totalTokenUsage.Prompt + totalTokenUsage.Completion,
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}
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if extraUsage {
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usage.TimingTokenGeneration = totalTokenUsage.TimingTokenGeneration
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usage.TimingPromptProcessing = totalTokenUsage.TimingPromptProcessing
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}
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id := uuid.New().String()
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created := int(time.Now().Unix())
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resp := &schema.OpenAIResponse{
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ID: id,
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Created: created,
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Model: input.Model, // we have to return what the user sent here, due to OpenAI spec.
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Choices: result,
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Object: "edit",
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Usage: usage,
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}
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jsonResult, _ := json.Marshal(resp)
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xlog.Debug("Response", "response", string(jsonResult))
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// Return the prediction in the response body
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return c.JSON(200, resp)
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}
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}
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