Files
Memoh/internal/models/types.go
T
Acbox Liu 17cd077f34 feat: add thinking support (#100)
* feat: add thinking support

* feat: improve thinking block render in web and filter thinking content in channels

* fix: migrate
2026-02-23 14:41:27 +08:00

141 lines
3.3 KiB
Go

package models
import (
"errors"
"fmt"
"github.com/google/uuid"
)
type ModelType string
const (
ModelTypeChat ModelType = "chat"
ModelTypeEmbedding ModelType = "embedding"
)
const (
ModelInputText = "text"
ModelInputImage = "image"
ModelInputAudio = "audio"
ModelInputVideo = "video"
ModelInputFile = "file"
)
type ClientType string
const (
ClientTypeOpenAIResponses ClientType = "openai-responses"
ClientTypeOpenAICompletions ClientType = "openai-completions"
ClientTypeAnthropicMessages ClientType = "anthropic-messages"
ClientTypeGoogleGenerativeAI ClientType = "google-generative-ai"
)
type Model struct {
ModelID string `json:"model_id"`
Name string `json:"name"`
LlmProviderID string `json:"llm_provider_id"`
ClientType ClientType `json:"client_type,omitempty"`
InputModalities []string `json:"input_modalities,omitempty"`
SupportsReasoning bool `json:"supports_reasoning"`
Type ModelType `json:"type"`
Dimensions int `json:"dimensions"`
}
// validInputModalities is the set of recognised input modality tokens.
var validInputModalities = map[string]struct{}{
ModelInputText: {}, ModelInputImage: {}, ModelInputAudio: {},
ModelInputVideo: {}, ModelInputFile: {},
}
func (m *Model) Validate() error {
if m.ModelID == "" {
return errors.New("model ID is required")
}
if m.LlmProviderID == "" {
return errors.New("llm provider ID is required")
}
if _, err := uuid.Parse(m.LlmProviderID); err != nil {
return errors.New("llm provider ID must be a valid UUID")
}
if m.Type != ModelTypeChat && m.Type != ModelTypeEmbedding {
return errors.New("invalid model type")
}
if m.Type == ModelTypeChat {
if m.ClientType == "" {
return errors.New("client_type is required for chat models")
}
if !isValidClientType(m.ClientType) {
return fmt.Errorf("invalid client_type: %s", m.ClientType)
}
}
if m.Type == ModelTypeEmbedding && m.Dimensions <= 0 {
return errors.New("dimensions must be greater than 0")
}
if m.Type == ModelTypeChat {
for _, mod := range m.InputModalities {
if _, ok := validInputModalities[mod]; !ok {
return fmt.Errorf("invalid input modality: %s", mod)
}
}
}
return nil
}
// HasInputModality checks whether the model supports a given input modality.
func (m *Model) HasInputModality(mod string) bool {
for _, v := range m.InputModalities {
if v == mod {
return true
}
}
return false
}
// IsMultimodal returns true if the model supports any input modality beyond text.
func (m *Model) IsMultimodal() bool {
for _, v := range m.InputModalities {
if v != ModelInputText {
return true
}
}
return false
}
type AddRequest Model
type AddResponse struct {
ID string `json:"id"`
ModelID string `json:"model_id"`
}
type GetRequest struct {
ID string `json:"id"`
}
type GetResponse struct {
ID string `json:"id"`
ModelID string `json:"model_id"`
Model
}
type UpdateRequest Model
type ListRequest struct {
Type ModelType `json:"type,omitempty"`
ClientType ClientType `json:"client_type,omitempty"`
}
type DeleteRequest struct {
ID string `json:"id,omitempty"`
ModelID string `json:"model_id,omitempty"`
}
type DeleteResponse struct {
Message string `json:"message"`
}
type CountResponse struct {
Count int64 `json:"count"`
}