96930b585c
## 主要改进 ### 1. 数据库驱动的模型配置 - 新增 GetActiveProviderWithModel() 方法,从数据库获取优先级最高的 Provider 及其默认模型 - 支持多 Provider 配置,通过 priority 字段控制优先级 - 实现 5 分钟缓存机制,减少数据库查询 ### 2. 应用模型配置优化 - 移除应用层硬编码模型配置 - 应用自动使用优先级最高的 Provider 的默认模型 - 支持应用级模型覆盖(可选) ### 3. 工具脚本 - check-providers: 查询数据库中的 Provider 和应用配置 - fix-providers: 修复 Provider 配置(补全 config 和 models 字段) - clear-app-models: 清空应用硬编码模型配置 ### 4. 代码质量 - 删除未使用的 getProvider() 方法 - 修复 fmt.Println 冗余换行警告 - 统一代码格式 ## 技术细节 **降级策略**: 数据库 Provider (优先级) → 环境变量 Provider → 应用配置模型 **当前配置**: - 优先级 110: 本地LLM (qwen2.5-7b-instruct) - 优先级 100: 阿里云百炼 (qwen-plus) 所有 41 个应用现在自动使用本地模型,无需手动配置。
349 lines
8.7 KiB
Go
349 lines
8.7 KiB
Go
package llm
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import (
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"bufio"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"strings"
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"sync"
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"time"
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"github.com/jackc/pgx/v5/pgxpool"
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)
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// Manager manages multiple LLM providers and routes requests.
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type Manager struct {
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providers map[string]Provider
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fallback string
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pool *pgxpool.Pool
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cache map[string]providerCacheEntry
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cacheMu sync.RWMutex
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cacheTTL time.Duration
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}
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type providerCacheEntry struct {
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provider Provider
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updatedAt time.Time
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}
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func NewManager() *Manager {
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return &Manager{
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providers: make(map[string]Provider),
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cache: make(map[string]providerCacheEntry),
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cacheTTL: 5 * time.Minute, // 缓存 5 分钟
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}
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}
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// SetPool 设置数据库连接池,用于从数据库加载 providers
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func (m *Manager) SetPool(pool *pgxpool.Pool) {
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m.pool = pool
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}
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func (m *Manager) Register(name string, provider Provider) {
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m.providers[name] = provider
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if m.fallback == "" {
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m.fallback = name
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}
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}
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func (m *Manager) SetFallback(name string) {
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m.fallback = name
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}
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// LoadProvidersFromDB 从数据库加载所有激活的 providers
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func (m *Manager) LoadProvidersFromDB(ctx context.Context) error {
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if m.pool == nil {
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return fmt.Errorf("database pool not set")
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}
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rows, err := m.pool.Query(ctx, `
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SELECT id, name, base_url, api_key_encrypted, models, config
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FROM model_providers
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WHERE is_active = true
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ORDER BY priority DESC, created_at
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`)
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if err != nil {
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return fmt.Errorf("query providers: %w", err)
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}
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defer rows.Close()
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for rows.Next() {
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var (
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id, name, baseURL, apiKey string
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modelsJSON, configJSON []byte
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)
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if err := rows.Scan(&id, &name, &baseURL, &apiKey, &modelsJSON, &configJSON); err != nil {
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return fmt.Errorf("scan provider: %w", err)
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}
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var config map[string]any
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if err := json.Unmarshal(configJSON, &config); err != nil {
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return fmt.Errorf("unmarshal config: %w", err)
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}
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// 根据 config.provider 类型创建对应的 provider
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providerType, _ := config["provider"].(string)
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if providerType == "" {
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providerType = "openai" // 默认 OpenAI 兼容
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}
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var provider Provider
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switch providerType {
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case "openai":
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provider = NewOpenAIProvider(apiKey, baseURL, "")
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case "anthropic":
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provider = NewAnthropicProvider(apiKey, baseURL, "")
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default:
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return fmt.Errorf("unsupported provider type: %s", providerType)
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}
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// 使用 provider ID 作为 key
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m.Register(id, provider)
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// 缓存
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m.cacheMu.Lock()
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m.cache[id] = providerCacheEntry{
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provider: provider,
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updatedAt: time.Now(),
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}
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m.cacheMu.Unlock()
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}
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return rows.Err()
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}
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// GetActiveProvider 获取优先级最高的激活 provider
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func (m *Manager) GetActiveProvider(ctx context.Context) (Provider, error) {
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provider, _, err := m.GetActiveProviderWithModel(ctx)
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return provider, err
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}
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// GetActiveProviderWithModel 获取优先级最高的激活 provider 及其默认模型
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func (m *Manager) GetActiveProviderWithModel(ctx context.Context) (Provider, string, error) {
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if m.pool == nil {
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// 如果没有数据库连接,使用注册的 fallback
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if p, ok := m.providers[m.fallback]; ok {
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return p, "", nil // 降级时返回空模型名,使用应用配置
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}
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return nil, "", fmt.Errorf("no active provider")
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}
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// 从数据库获取优先级最高的激活 provider
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var id, baseURL, apiKey string
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var configJSON []byte
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err := m.pool.QueryRow(ctx, `
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SELECT id, base_url, api_key_encrypted, config
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FROM model_providers
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WHERE is_active = true
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ORDER BY priority DESC, created_at
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LIMIT 1
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`).Scan(&id, &baseURL, &apiKey, &configJSON)
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if err != nil {
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return nil, "", fmt.Errorf("query active provider: %w", err)
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}
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// 检查缓存
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m.cacheMu.RLock()
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if entry, ok := m.cache[id]; ok && time.Since(entry.updatedAt) < m.cacheTTL {
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m.cacheMu.RUnlock()
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// 从 config 中提取默认模型
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var config map[string]any
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json.Unmarshal(configJSON, &config)
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defaultModel, _ := config["default_model"].(string)
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return entry.provider, defaultModel, nil
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}
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m.cacheMu.RUnlock()
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// 创建新的 provider
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var config map[string]any
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if err := json.Unmarshal(configJSON, &config); err != nil {
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return nil, "", fmt.Errorf("unmarshal config: %w", err)
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}
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providerType, _ := config["provider"].(string)
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if providerType == "" {
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providerType = "openai"
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}
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// 获取默认模型
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defaultModel, _ := config["default_model"].(string)
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var provider Provider
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switch providerType {
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case "openai":
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provider = NewOpenAIProvider(apiKey, baseURL, "")
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case "anthropic":
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provider = NewAnthropicProvider(apiKey, baseURL, "")
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default:
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return nil, "", fmt.Errorf("unsupported provider type: %s", providerType)
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}
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// 更新缓存
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m.cacheMu.Lock()
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m.cache[id] = providerCacheEntry{
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provider: provider,
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updatedAt: time.Now(),
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}
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m.cacheMu.Unlock()
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return provider, defaultModel, nil
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}
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func (m *Manager) GetProvider(name string) (Provider, error) {
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if p, ok := m.providers[name]; ok {
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return p, nil
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}
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if p, ok := m.providers[m.fallback]; ok {
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return p, nil
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}
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return nil, fmt.Errorf("no provider found: %s", name)
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}
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// Chat performs a blocking chat completion using the specified provider.
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func (m *Manager) Chat(ctx context.Context, provider Provider, req *ChatRequest) (*ChatResponse, error) {
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return provider.ChatCompletion(ctx, req)
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}
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// ChatStream performs a streaming chat and returns the raw SSE body.
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func (m *Manager) ChatStream(ctx context.Context, provider Provider, req *ChatRequest) (io.ReadCloser, error) {
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req.Stream = true
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return provider.ChatStream(ctx, req)
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}
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// StreamEvent represents a normalized SSE event for the frontend.
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type StreamEvent struct {
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Event string `json:"event"`
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Answer string `json:"answer,omitempty"`
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MessageID string `json:"message_id,omitempty"`
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Usage *Usage `json:"usage,omitempty"`
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}
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type Usage struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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Model string `json:"model"`
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}
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// TransformOpenAIStream reads an OpenAI SSE stream and writes normalized events to the writer.
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func TransformOpenAIStream(reader io.Reader, write func(event StreamEvent)) error {
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scanner := bufio.NewScanner(reader)
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scanner.Buffer(make([]byte, 64*1024), 256*1024)
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var totalContent string
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var model string
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for scanner.Scan() {
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line := scanner.Text()
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if !strings.HasPrefix(line, "data: ") {
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continue
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}
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data := strings.TrimPrefix(line, "data: ")
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if data == "[DONE]" {
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write(StreamEvent{
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Event: "message_end",
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Usage: &Usage{
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TotalTokens: estimateTokens(totalContent),
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Model: model,
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},
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})
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break
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}
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var chunk struct {
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ID string `json:"id"`
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Model string `json:"model"`
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Choices []struct {
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Delta struct {
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Content string `json:"content"`
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} `json:"delta"`
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FinishReason *string `json:"finish_reason"`
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} `json:"choices"`
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}
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if err := json.Unmarshal([]byte(data), &chunk); err != nil {
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continue
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}
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model = chunk.Model
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if len(chunk.Choices) > 0 && chunk.Choices[0].Delta.Content != "" {
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content := chunk.Choices[0].Delta.Content
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totalContent += content
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write(StreamEvent{
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Event: "message",
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Answer: content,
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MessageID: chunk.ID,
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})
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}
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}
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return scanner.Err()
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}
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// TransformAnthropicStream reads an Anthropic SSE stream and writes normalized events.
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func TransformAnthropicStream(reader io.Reader, write func(event StreamEvent)) error {
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scanner := bufio.NewScanner(reader)
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scanner.Buffer(make([]byte, 64*1024), 256*1024)
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var model string
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for scanner.Scan() {
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line := scanner.Text()
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if !strings.HasPrefix(line, "data: ") {
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if strings.HasPrefix(line, "event: ") {
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continue
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}
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continue
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}
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data := strings.TrimPrefix(line, "data: ")
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var event map[string]any
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if err := json.Unmarshal([]byte(data), &event); err != nil {
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continue
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}
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eventType, _ := event["type"].(string)
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switch eventType {
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case "message_start":
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if msg, ok := event["message"].(map[string]any); ok {
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if m, ok := msg["model"].(string); ok {
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model = m
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}
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}
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case "content_block_delta":
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if delta, ok := event["delta"].(map[string]any); ok {
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if text, ok := delta["text"].(string); ok {
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write(StreamEvent{
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Event: "message",
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Answer: text,
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})
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}
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}
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case "message_delta":
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if usage, ok := event["usage"].(map[string]any); ok {
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outputTokens := int(getFloat(usage, "output_tokens"))
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write(StreamEvent{
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Event: "message_end",
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Usage: &Usage{
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CompletionTokens: outputTokens,
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TotalTokens: outputTokens,
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Model: model,
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},
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})
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}
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}
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}
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return scanner.Err()
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}
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func getFloat(m map[string]any, key string) float64 {
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if v, ok := m[key].(float64); ok {
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return v
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}
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return 0
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}
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func estimateTokens(text string) int {
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return len(text) / 4
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}
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