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xinmi/internal/models/vlm/vlm.go
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package vlm
import (
"context"
"fmt"
"strings"
"github.com/Tencent/WeKnora/internal/logger"
"github.com/Tencent/WeKnora/internal/models/provider"
"github.com/Tencent/WeKnora/internal/models/utils/ollama"
"github.com/Tencent/WeKnora/internal/types"
)
// VLM defines the interface for Vision Language Model operations.
type VLM interface {
// Predict sends one or more images with a text prompt to the VLM and returns the generated text.
Predict(ctx context.Context, imgBytes [][]byte, prompt string) (string, error)
GetModelName() string
GetModelID() string
}
// Config holds the configuration needed to create a VLM instance.
type Config struct {
Source types.ModelSource
BaseURL string
ModelName string
APIKey string
ModelID string
InterfaceType string // "ollama" or "openai" (default)
Provider string
// MaxConcurrency caps concurrent background calls to this model; 0 falls
// back to the process-wide default (see limiter.GateN).
MaxConcurrency int
Extra map[string]any
// CustomHeaders 允许在调用远程 API 时附加自定义 HTTP 请求头(类似 OpenAI Python SDK 的 extra_headers)。
CustomHeaders map[string]string
AppID string
AppSecret string
}
// ConfigFromModel 根据 types.Model 构造 vlm.Config。
// 生产路径(从 DB 拉起)和测试连接路径(临时表单)共享这份映射。
// appID / appSecret 是已解密的 WeKnoraCloud 凭证,调用方负责传入。
// InterfaceType 会根据 source / 模型参数自动回退到合理默认值。
func ConfigFromModel(m *types.Model, appID, appSecret string) *Config {
if m == nil {
return nil
}
ifType := m.Parameters.InterfaceType
if ifType == "" {
if m.Source == types.ModelSourceLocal {
ifType = "ollama"
} else {
ifType = "openai"
}
}
return &Config{
ModelID: m.ID,
APIKey: m.Parameters.APIKey,
BaseURL: m.Parameters.BaseURL,
ModelName: m.Name,
Source: m.Source,
InterfaceType: ifType,
Provider: m.Parameters.Provider,
MaxConcurrency: m.Parameters.MaxConcurrency,
Extra: stringMapToAnyMap(m.Parameters.ExtraConfig),
CustomHeaders: m.Parameters.CustomHeaders,
AppID: appID,
AppSecret: appSecret,
}
}
func stringMapToAnyMap(in map[string]string) map[string]any {
if in == nil {
return nil
}
out := make(map[string]any, len(in))
for k, v := range in {
out[k] = v
}
return out
}
// NewVLM creates a VLM instance based on the provided configuration.
func NewVLM(config *Config, ollamaService *ollama.OllamaService) (VLM, error) {
v, err := newVLM(config, ollamaService)
if err != nil {
return v, err
}
if logger.LLMDebugEnabled() {
v = &debugVLM{inner: v}
}
v, err = wrapVLMLangfuse(v, nil)
// Outermost: hold the per-model concurrency slot only around the real
// provider round-trip, so the wait is excluded from debug/langfuse timing.
return wrapVLMConcurrency(v, config.MaxConcurrency, err)
}
func newVLM(config *Config, ollamaService *ollama.OllamaService) (VLM, error) {
ifType := strings.ToLower(config.InterfaceType)
if ifType == "ollama" || config.Source == types.ModelSourceLocal {
return NewOllamaVLM(config, ollamaService)
}
providerName := provider.ProviderName(config.Provider)
if providerName == "" {
providerName = provider.DetectProvider(config.BaseURL)
}
if providerName == provider.ProviderWeKnoraCloud {
return NewWeKnoraCloudVLM(config)
}
return NewRemoteAPIVLM(config)
}
// NewVLMFromLegacyConfig creates a VLM from a legacy VLMConfig (inline BaseURL/APIKey/ModelName).
func NewVLMFromLegacyConfig(vlmCfg types.VLMConfig, ollamaService *ollama.OllamaService) (VLM, error) {
if !vlmCfg.IsEnabled() {
return nil, fmt.Errorf("VLM config is not enabled")
}
ifType := vlmCfg.InterfaceType
if ifType == "" {
ifType = "openai"
}
source := types.ModelSourceRemote
if strings.EqualFold(ifType, "ollama") {
source = types.ModelSourceLocal
}
return NewVLM(&Config{
Source: source,
BaseURL: vlmCfg.BaseURL,
ModelName: vlmCfg.ModelName,
APIKey: vlmCfg.APIKey,
InterfaceType: ifType,
}, ollamaService)
}