WIP: edits/refactor

This commit is contained in:
mudler 2023-04-29 07:18:24 +02:00
parent d0ceebc5d7
commit b08a1701dd
4 changed files with 223 additions and 85 deletions

View file

@ -61,11 +61,14 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
app.Use(cors.New())
// openAI compatible API endpoint
app.Post("/v1/chat/completions", openAIEndpoint(cm, true, debug, loader, threads, ctxSize, f16))
app.Post("/chat/completions", openAIEndpoint(cm, true, debug, loader, threads, ctxSize, f16))
app.Post("/v1/chat/completions", openAIEndpoint(cm, ChatEndpoint, debug, loader, threads, ctxSize, f16))
app.Post("/chat/completions", openAIEndpoint(cm, ChatEndpoint, debug, loader, threads, ctxSize, f16))
app.Post("/v1/completions", openAIEndpoint(cm, false, debug, loader, threads, ctxSize, f16))
app.Post("/completions", openAIEndpoint(cm, false, debug, loader, threads, ctxSize, f16))
app.Post("/v1/edits", openAIEndpoint(cm, EditEndpoint, debug, loader, threads, ctxSize, f16))
app.Post("/edits", openAIEndpoint(cm, EditEndpoint, debug, loader, threads, ctxSize, f16))
app.Post("/v1/completions", openAIEndpoint(cm, CompletionEndpoint, debug, loader, threads, ctxSize, f16))
app.Post("/completions", openAIEndpoint(cm, CompletionEndpoint, debug, loader, threads, ctxSize, f16))
app.Get("/v1/models", listModels(loader, cm))
app.Get("/models", listModels(loader, cm))

View file

@ -27,6 +27,7 @@ type Config struct {
type TemplateConfig struct {
Completion string `yaml:"completion"`
Chat string `yaml:"chat"`
Edit string `yaml:"edit"`
}
type ConfigMerger map[string]Config

View file

@ -8,7 +8,6 @@ import (
"path/filepath"
"regexp"
"strings"
"sync"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/gofiber/fiber/v2"
@ -60,6 +59,10 @@ type OpenAIRequest struct {
// Prompt is read only by completion API calls
Prompt string `json:"prompt" yaml:"prompt"`
// Edit endpoint
Instruction string `json:"instruction" yaml:"instruction"`
Input string `json:"input" yaml:"input"`
Stop string `json:"stop" yaml:"stop"`
// Messages is read only by chat/completion API calls
@ -143,28 +146,21 @@ func updateConfig(config *Config, input *OpenAIRequest) {
}
}
var cutstrings map[string]*regexp.Regexp = make(map[string]*regexp.Regexp)
var mu sync.Mutex = sync.Mutex{}
type EndpointType uint8
// https://platform.openai.com/docs/api-reference/completions
func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
const (
ChatEndpoint EndpointType = iota
CompletionEndpoint EndpointType = iota
EditEndpoint EndpointType = iota
)
func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
input := new(OpenAIRequest)
// Get input data from the request body
if err := c.BodyParser(input); err != nil {
return err
}
if input.Stream {
log.Debug().Msgf("Stream request received")
//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
c.Set("Content-Type", "text/event-stream; charset=utf-8")
c.Set("Cache-Control", "no-cache")
c.Set("Connection", "keep-alive")
c.Set("Transfer-Encoding", "chunked")
}
modelFile := input.Model
received, _ := json.Marshal(input)
@ -182,7 +178,7 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
log.Debug().Msgf("No model specified, using: %s", modelFile)
} else {
log.Debug().Msgf("No model specified, returning error")
return fmt.Errorf("no model specified")
return nil, fmt.Errorf("no model specified")
}
}
@ -196,7 +192,7 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
if _, err := os.Stat(modelConfig); err == nil {
if err := cm.LoadConfig(modelConfig); err != nil {
return fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
return nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
}
}
@ -227,6 +223,96 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
config.Debug = true
}
return config, input, nil
}
func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
if err != nil {
return fmt.Errorf("failed reading parameters from request:%w", err)
}
log.Debug().Msgf("Parameter Config: %+v", config)
predInput := input.Prompt
templateFile := config.Model
if config.TemplateConfig.Completion != "" {
templateFile = config.TemplateConfig.Completion
}
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile, struct {
Input string
}{Input: predInput})
if err == nil {
predInput = templatedInput
log.Debug().Msgf("Template found, input modified to: %s", predInput)
}
result := []Choice{}
n := input.N
if input.N == 0 {
n = 1
}
// get the model function to call for the result
predFunc, err := ModelInference(predInput, loader, *config)
if err != nil {
return err
}
for i := 0; i < n; i++ {
prediction, err := predFunc()
if err != nil {
return err
}
prediction = Finetune(*config, predInput, prediction)
result = append(result, Choice{Text: prediction})
}
resp := &OpenAIResponse{
Model: input.Model, // we have to return what the user sent here, due to OpenAI spec.
Choices: result,
Object: "text_completion",
}
jsonResult, _ := json.Marshal(resp)
log.Debug().Msgf("Response: %s", jsonResult)
// Return the prediction in the response body
return c.JSON(resp)
}
}
// https://platform.openai.com/docs/api-reference/completions
func openAIEndpoint(cm ConfigMerger, endpointType EndpointType, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
if err != nil {
return fmt.Errorf("failed reading parameters from request:%w", err)
}
chat := endpointType == ChatEndpoint
completion := endpointType == CompletionEndpoint
edit := endpointType == EditEndpoint
if input.Stream {
log.Debug().Msgf("Stream request received")
//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
c.Set("Content-Type", "text/event-stream; charset=utf-8")
c.Set("Cache-Control", "no-cache")
c.Set("Connection", "keep-alive")
c.Set("Transfer-Encoding", "chunked")
}
log.Debug().Msgf("Parameter Config: %+v", config)
predInput := input.Prompt
@ -246,14 +332,31 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
}
templateFile := config.Model
if config.TemplateConfig.Chat != "" && chat {
switch {
case config.TemplateConfig.Chat != "" && chat:
templateFile = config.TemplateConfig.Chat
}
if config.TemplateConfig.Completion != "" && !chat {
case config.TemplateConfig.Completion != "" && completion:
templateFile = config.TemplateConfig.Completion
case config.TemplateConfig.Edit != "" && edit:
templateFile = config.TemplateConfig.Edit
}
if edit {
e := ""
if config.TemplateConfig.Edit == "" {
e = ".edit"
}
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile+e, struct {
Input string
Instruction string
}{Input: input.Input, Instruction: input.Instruction})
if err == nil {
predInput = templatedInput
log.Debug().Msgf("Template found, input modified to: %s", predInput)
}
} else {
// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
templatedInput, err := loader.TemplatePrefix(templateFile, struct {
Input string
@ -262,6 +365,7 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
predInput = templatedInput
log.Debug().Msgf("Template found, input modified to: %s", predInput)
}
}
result := []Choice{}
@ -326,6 +430,8 @@ func openAIEndpoint(cm ConfigMerger, chat, debug bool, loader *model.ModelLoader
resp.Object = "chat.completion.chunk"
} else if chat {
resp.Object = "chat.completion"
} else if edit {
resp.Object = "edit"
} else {
resp.Object = "text_completion"
}

View file

@ -2,6 +2,8 @@ package api
import (
"fmt"
"regexp"
"strings"
"sync"
model "github.com/go-skynet/LocalAI/pkg/model"
@ -186,3 +188,29 @@ func ModelInference(s string, loader *model.ModelLoader, c Config) (func() (stri
return fn()
}, nil
}
var cutstrings map[string]*regexp.Regexp = make(map[string]*regexp.Regexp)
var mu sync.Mutex = sync.Mutex{}
func Finetune(config Config, input, prediction string) string {
if config.Echo {
prediction = input + prediction
}
for _, c := range config.Cutstrings {
mu.Lock()
reg, ok := cutstrings[c]
if !ok {
cutstrings[c] = regexp.MustCompile(c)
reg = cutstrings[c]
}
mu.Unlock()
prediction = reg.ReplaceAllString(prediction, "")
}
for _, c := range config.TrimSpace {
prediction = strings.TrimSpace(strings.TrimPrefix(prediction, c))
}
return prediction
}