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@ -1,6 +1,8 @@ |
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package api |
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package api |
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import ( |
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import ( |
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"encoding/json" |
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"errors" |
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"fmt" |
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"fmt" |
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"strings" |
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"strings" |
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"sync" |
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"sync" |
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@ -11,6 +13,7 @@ import ( |
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"github.com/gofiber/fiber/v2" |
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"github.com/gofiber/fiber/v2" |
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"github.com/gofiber/fiber/v2/middleware/cors" |
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"github.com/gofiber/fiber/v2/middleware/cors" |
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"github.com/gofiber/fiber/v2/middleware/recover" |
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"github.com/gofiber/fiber/v2/middleware/recover" |
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"github.com/rs/zerolog/log" |
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) |
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) |
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type OpenAIResponse struct { |
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type OpenAIResponse struct { |
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@ -65,7 +68,7 @@ type OpenAIRequest struct { |
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} |
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} |
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// https://platform.openai.com/docs/api-reference/completions
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// https://platform.openai.com/docs/api-reference/completions
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func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 bool, defaultMutex *sync.Mutex, mutexMap *sync.Mutex, mutexes map[string]*sync.Mutex) func(c *fiber.Ctx) error { |
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func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 bool, mutexMap *sync.Mutex, mutexes map[string]*sync.Mutex) func(c *fiber.Ctx) error { |
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return func(c *fiber.Ctx) error { |
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return func(c *fiber.Ctx) error { |
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var err error |
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var err error |
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var model *llama.LLama |
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var model *llama.LLama |
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@ -76,45 +79,52 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 |
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if err := c.BodyParser(input); err != nil { |
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if err := c.BodyParser(input); err != nil { |
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return err |
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return err |
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} |
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} |
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modelFile := input.Model |
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received, _ := json.Marshal(input) |
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if input.Model == "" { |
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log.Debug().Msgf("Request received: %s", string(received)) |
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// Set model from bearer token, if available
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bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ") |
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bearerExists := bearer != "" && loader.ExistsInModelPath(bearer) |
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if modelFile == "" && !bearerExists { |
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return fmt.Errorf("no model specified") |
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return fmt.Errorf("no model specified") |
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} else { |
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} |
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// Try to load the model with both
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var llamaerr error |
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llamaOpts := []llama.ModelOption{} |
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if ctx != 0 { |
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llamaOpts = append(llamaOpts, llama.SetContext(ctx)) |
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} |
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if f16 { |
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llamaOpts = append(llamaOpts, llama.EnableF16Memory) |
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} |
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model, llamaerr = loader.LoadLLaMAModel(input.Model, llamaOpts...) |
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if bearerExists { // model specified in bearer token takes precedence
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if llamaerr != nil { |
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log.Debug().Msgf("Using model from bearer token: %s", bearer) |
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gptModel, err = loader.LoadGPTJModel(input.Model) |
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modelFile = bearer |
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if err != nil { |
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} |
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return fmt.Errorf("llama: %s gpt: %s", llamaerr.Error(), err.Error()) // llama failed first, so we want to catch both errors
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} |
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// Try to load the model with both
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var llamaerr error |
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llamaOpts := []llama.ModelOption{} |
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if ctx != 0 { |
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llamaOpts = append(llamaOpts, llama.SetContext(ctx)) |
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} |
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if f16 { |
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llamaOpts = append(llamaOpts, llama.EnableF16Memory) |
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} |
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model, llamaerr = loader.LoadLLaMAModel(modelFile, llamaOpts...) |
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if llamaerr != nil { |
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gptModel, err = loader.LoadGPTJModel(modelFile) |
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if err != nil { |
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return fmt.Errorf("llama: %s gpt: %s", llamaerr.Error(), err.Error()) // llama failed first, so we want to catch both errors
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} |
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} |
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} |
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} |
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// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
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// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
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if input.Model != "" { |
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mutexMap.Lock() |
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mutexMap.Lock() |
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l, ok := mutexes[modelFile] |
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l, ok := mutexes[input.Model] |
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if !ok { |
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if !ok { |
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m := &sync.Mutex{} |
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m := &sync.Mutex{} |
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mutexes[modelFile] = m |
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mutexes[input.Model] = m |
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l = m |
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l = m |
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} |
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mutexMap.Unlock() |
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l.Lock() |
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defer l.Unlock() |
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} else { |
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defaultMutex.Lock() |
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defer defaultMutex.Unlock() |
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} |
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} |
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mutexMap.Unlock() |
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l.Lock() |
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defer l.Unlock() |
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// Set the parameters for the language model prediction
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// Set the parameters for the language model prediction
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topP := input.TopP |
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topP := input.TopP |
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@ -139,6 +149,7 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 |
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predInput := input.Prompt |
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predInput := input.Prompt |
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if chat { |
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if chat { |
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mess := []string{} |
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mess := []string{} |
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// TODO: encode roles
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for _, i := range input.Messages { |
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for _, i := range input.Messages { |
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mess = append(mess, i.Content) |
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mess = append(mess, i.Content) |
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} |
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} |
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@ -147,11 +158,12 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 |
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} |
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} |
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// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
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// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
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templatedInput, err := loader.TemplatePrefix(input.Model, struct { |
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templatedInput, err := loader.TemplatePrefix(modelFile, struct { |
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Input string |
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Input string |
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}{Input: predInput}) |
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}{Input: predInput}) |
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if err == nil { |
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if err == nil { |
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predInput = templatedInput |
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predInput = templatedInput |
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log.Debug().Msgf("Template found, input modified to: %s", predInput) |
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} |
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} |
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result := []Choice{} |
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result := []Choice{} |
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@ -223,8 +235,6 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 |
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} |
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} |
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for i := 0; i < n; i++ { |
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for i := 0; i < n; i++ { |
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var prediction string |
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prediction, err := predFunc() |
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prediction, err := predFunc() |
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if err != nil { |
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if err != nil { |
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return err |
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return err |
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@ -241,30 +251,19 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16 |
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} |
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} |
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} |
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} |
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jsonResult, _ := json.Marshal(result) |
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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 the prediction in the response body
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return c.JSON(OpenAIResponse{ |
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return c.JSON(OpenAIResponse{ |
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Model: input.Model, |
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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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Choices: result, |
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}) |
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}) |
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} |
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} |
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} |
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} |
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func Start(loader *model.ModelLoader, listenAddr string, threads, ctxSize int, f16 bool) error { |
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func listModels(loader *model.ModelLoader) func(ctx *fiber.Ctx) error { |
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app := fiber.New() |
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return func(c *fiber.Ctx) error { |
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// Default middleware config
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app.Use(recover.New()) |
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app.Use(cors.New()) |
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// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
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var mutex = &sync.Mutex{} |
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mu := map[string]*sync.Mutex{} |
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var mumutex = &sync.Mutex{} |
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// openAI compatible API endpoint
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app.Post("/v1/chat/completions", openAIEndpoint(true, loader, threads, ctxSize, f16, mutex, mumutex, mu)) |
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app.Post("/v1/completions", openAIEndpoint(false, loader, threads, ctxSize, f16, mutex, mumutex, mu)) |
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app.Get("/v1/models", func(c *fiber.Ctx) error { |
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models, err := loader.ListModels() |
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models, err := loader.ListModels() |
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if err != nil { |
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if err != nil { |
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return err |
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return err |
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@ -281,8 +280,48 @@ func Start(loader *model.ModelLoader, listenAddr string, threads, ctxSize int, f |
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Object: "list", |
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Object: "list", |
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Data: dataModels, |
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Data: dataModels, |
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}) |
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}) |
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} |
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} |
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func Start(loader *model.ModelLoader, listenAddr string, threads, ctxSize int, f16 bool) error { |
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// Return errors as JSON responses
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app := fiber.New(fiber.Config{ |
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// Override default error handler
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ErrorHandler: func(ctx *fiber.Ctx, err error) error { |
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// Status code defaults to 500
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code := fiber.StatusInternalServerError |
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// Retrieve the custom status code if it's a *fiber.Error
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var e *fiber.Error |
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if errors.As(err, &e) { |
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code = e.Code |
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} |
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// Send custom error page
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return ctx.Status(code).JSON(struct { |
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Error string `json:"error"` |
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}{Error: err.Error()}) |
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}, |
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}) |
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}) |
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// Default middleware config
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app.Use(recover.New()) |
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app.Use(cors.New()) |
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// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
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mu := map[string]*sync.Mutex{} |
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var mumutex = &sync.Mutex{} |
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// openAI compatible API endpoint
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app.Post("/v1/chat/completions", openAIEndpoint(true, loader, threads, ctxSize, f16, mumutex, mu)) |
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app.Post("/chat/completions", openAIEndpoint(true, loader, threads, ctxSize, f16, mumutex, mu)) |
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app.Post("/v1/completions", openAIEndpoint(false, loader, threads, ctxSize, f16, mumutex, mu)) |
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app.Post("/completions", openAIEndpoint(false, loader, threads, ctxSize, f16, mumutex, mu)) |
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app.Get("/v1/models", listModels(loader)) |
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app.Get("/models", listModels(loader)) |
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// Start the server
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// Start the server
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app.Listen(listenAddr) |
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app.Listen(listenAddr) |
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return nil |
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return nil |
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Ettore Di Giacinto
1 year ago
committed by
GitHub