Files
Cyrene/backend/ai-core/internal/llm/selector.go
T
AskaEth 189f7b999b feat: VisionTool 集成多模态 LLM 直接调用 — OCR/视觉分析
- VisionTool 改为接受可选 llm.LLMProvider,有模型时直接调用视觉模型分析,
  无模型时回退 base64 data URL 模式,不影响基本功能
- ModelSelector 新增 PurposeVision 路由用途
- main.go 按 vision routing 自动发现并注入视觉模型 provider
- 支持 models.json 中 qwen3.6-flash / qwen-vl-ocr-latest fallback 链

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-24 16:25:56 +08:00

139 lines
3.6 KiB
Go

package llm
import (
"context"
"fmt"
"sync"
"time"
"github.com/yourname/cyrene-ai/ai-core/internal/config"
)
// ModelPurpose identifies the kind of LLM task.
type ModelPurpose string
const (
PurposeChat ModelPurpose = "chat"
PurposeDeepThinking ModelPurpose = "deep_thinking"
PurposeIntentAnalysis ModelPurpose = "intent_analysis"
PurposeToolCalling ModelPurpose = "tool_calling"
PurposeMemoryExtraction ModelPurpose = "memory_extraction"
PurposeVision ModelPurpose = "vision"
)
// ErrModelNotRequired is returned when an optional model is unavailable.
var ErrModelNotRequired = fmt.Errorf("model not required, caller should degrade gracefully")
// ModelSelector routes requests to the best available LLMProvider based on purpose.
type ModelSelector struct {
loader *config.Loader
envCfg OpenAIConfig
mu sync.RWMutex
cache map[string]LLMProvider
cachedEnv LLMProvider // cached env fallback, created once
}
// NewModelSelector creates a ModelSelector. If loader is nil or has no config,
// all calls fall back to envCfg.
func NewModelSelector(loader *config.Loader, envFallback OpenAIConfig) *ModelSelector {
return &ModelSelector{
loader: loader,
envCfg: envFallback,
cache: make(map[string]LLMProvider),
}
}
// Select returns an LLMProvider for the given purpose. Falls back through the
// routing fallback chain; returns the env provider if nothing matches.
func (s *ModelSelector) Select(ctx context.Context, purpose ModelPurpose) (LLMProvider, error) {
if s.loader == nil || !s.loader.HasConfig() {
return s.envProvider(), nil
}
cfg := s.loader.GetConfig()
if cfg == nil {
return s.envProvider(), nil
}
route, ok := cfg.Routing[string(purpose)]
if !ok || len(route.FallbackChain) == 0 {
return s.envProvider(), nil
}
for _, modelID := range route.FallbackChain {
provider, err := s.getOrCreateProvider(modelID, cfg)
if err != nil {
continue
}
return provider, nil
}
if route.Required {
return nil, fmt.Errorf("all models unavailable for purpose %s", purpose)
}
return s.envProvider(), nil
}
// DefaultAdapter returns an *Adapter backed by the chat-purpose provider.
// This is the backward-compatible entry point: all existing consumers
// (Orchestrator, Synthesizer, BackgroundThinker, etc.) use this.
func (s *ModelSelector) DefaultAdapter() *Adapter {
provider, _ := s.Select(context.Background(), PurposeChat)
return NewAdapter(provider)
}
func (s *ModelSelector) envProvider() LLMProvider {
s.mu.Lock()
defer s.mu.Unlock()
if s.cachedEnv == nil {
s.cachedEnv = NewOpenAIProvider(s.envCfg)
}
return s.cachedEnv
}
func (s *ModelSelector) getOrCreateProvider(modelID string, cfg *config.ModelsConfigData) (LLMProvider, error) {
s.mu.RLock()
if p, ok := s.cache[modelID]; ok {
s.mu.RUnlock()
return p, nil
}
s.mu.RUnlock()
modelCfg, ok := cfg.Models[modelID]
if !ok {
return nil, fmt.Errorf("model %s not found", modelID)
}
if !modelCfg.Enabled {
return nil, fmt.Errorf("model %s is disabled", modelID)
}
provCfg, ok := cfg.Providers[modelCfg.Provider]
if !ok {
return nil, fmt.Errorf("provider %s not found for model %s", modelCfg.Provider, modelID)
}
timeout := time.Duration(provCfg.TimeoutSec) * time.Second
if timeout <= 0 {
timeout = 120 * time.Second
}
maxRetries := provCfg.MaxRetries
if maxRetries <= 0 {
maxRetries = 3
}
provider := NewOpenAIProvider(OpenAIConfig{
BaseURL: provCfg.BaseURL,
APIKey: provCfg.APIKey,
Model: modelCfg.Name,
FallbackModel: modelCfg.Name,
MaxRetries: maxRetries,
Timeout: timeout,
})
s.mu.Lock()
s.cache[modelID] = provider
s.mu.Unlock()
return provider, nil
}