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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 | /** * LLM Provider 注册表 * * 将 models.json 中的每家供应商抽象为独立的 ILlmProvider 实例， * 提供供应商级别的优先级调度和熔断保护。 * * 优先级由 models.json 中每个 vendor 的 priority 字段决定，越小越优先。 * 同一供应商多个 Key 注册为不同的逻辑供应商（如 minimax / minimax-key2）， * 通过相邻 priority 实现同供应商 Key 优先轮转，再跨供应商降级。 * * 统一使用 OpenAI 兼容 API（ChatOpenAI），通过 baseURL 切换供应商。 */ import { ProviderRegistry } from '../../common/provider-registry'; import { ILlmProvider, LlmModelConfig } from './provider.interface'; import { ChatOpenAI } from '@langchain/openai'; import { config } from '../../config'; import { MockLlmProvider } from './mock.provider'; // ============ OpenAI 兼容 Provider 实现 ============ class OpenAiCompatibleLlmProvider implements ILlmProvider { readonly name: string; readonly vendor: string; readonly displayName: string; readonly baseUrl: string; readonly textModels: string[]; readonly modelConfigs: Map<string, LlmModelConfig>; constructor( vendorKey: string, displayName: string, baseUrl: string, apiKey: string, models: LlmModelConfig[], ) { this.name = `${vendorKey}-llm`; this.vendor = vendorKey; this.displayName = displayName; this.baseUrl = baseUrl; this._apiKey = apiKey; this.textModels = models.filter(m => m.enabled).map(m => m.id); this.modelConfigs = new Map(models.map(m => [m.id, m])); } private _apiKey: string; createClient(modelId: string, options?: { temperature?: number; maxTokens?: number }): ChatOpenAI { const modelCfg = this.modelConfigs.get(modelId); if (!modelCfg) { throw new Error(`模型 ${modelId} 不属于供应商 ${this.name}`); } return new ChatOpenAI({ model: modelId, apiKey: this._apiKey, temperature: options?.temperature ?? modelCfg.temperature, maxTokens: options?.maxTokens ?? modelCfg.maxTokens, configuration: { baseURL: this.baseUrl }, }); } hasModel(modelId: string): boolean { return this.modelConfigs.has(modelId); } getModelConfig(modelId: string): LlmModelConfig | undefined { return this.modelConfigs.get(modelId); } async healthCheck(): Promise<boolean> { try { if (this.textModels.length === 0) return false; const client = this.createClient(this.textModels[0], { maxTokens: 10 }); await client.invoke('ping'); return true; } catch { return false; } } } // ============ 注册表管理 ============ let _registry: ProviderRegistry<ILlmProvider> | null = null; /** 将 models.json 中的模型转为 LlmModelConfig */ function toLlmModelConfig(m: any): LlmModelConfig { return { id: m.id, name: m.name || m.id, contextWindow: m.contextWindow || 128000, maxTokens: m.maxTokens || 4096, temperature: m.temperature ?? 0.7, supportsToolCall: m.supportsToolCall ?? false, enabled: m.enabled ?? true, canonicalModel: m.canonicalModel, }; } /** 初始化 LLM Provider 注册表 */ export function initLlmRegistry(): ProviderRegistry<ILlmProvider> { if (_registry) return _registry; _registry = new ProviderRegistry<ILlmProvider>(); const vendors = (config.models as any).vendors; if (!vendors) { console.warn('[LLM Registry] models.json 中无 vendors 配置'); return _registry; } for (const [vendorKey, vendorData] of Object.entries(vendors) as [string, any][]) { if (vendorData.apiType !== 'openai-chat') continue; if (!vendorData.apiKey) { console.warn(`[LLM Registry] ${vendorKey} 缺少 apiKey，跳过`); continue; } const textModels = (vendorData.models || []) .filter((m: any) => m.input?.includes('text')) .map(toLlmModelConfig); if (textModels.length === 0) { console.log(`[LLM Registry] ${vendorKey} 无文本模型，跳过`); continue; } const provider = new OpenAiCompatibleLlmProvider( vendorKey, vendorData.name, vendorData.baseUrl, vendorData.apiKey, textModels, ); _registry.register(provider, { enabled: true, breakerConfig: { name: `${vendorKey}-llm`, failureThreshold: 3, cooldownMs: 60000, }, }); console.log(`[LLM Registry] ${provider.displayName} 已注册 (${textModels.length}个模型)`); } // Mock Provider 已禁用（生产环境使用真实 LLM 供应商） // if (!_registry.get('mock-llm')) { // const mockProvider = new MockLlmProvider(); // _registry.register(mockProvider, { // enabled: true, // breakerConfig: { name: 'mock-llm', failureThreshold: 999, cooldownMs: 1000 }, // }); // console.log('[LLM Registry] Mock LLM 已注册（兜底，返回固定内容，不调外部API）'); // } console.log(`[LLM Registry] 共注册 ${_registry.size} 个供应商`); return _registry; } /** 获取 LLM Provider 注册表 */ export function getLlmRegistry(): ProviderRegistry<ILlmProvider> { if (!_registry) { return initLlmRegistry(); } return _registry; } // ============ 便捷查询函数 ============ /** 根据模型 ID 查找所属 Provider */ export function findProviderForModel(modelId: string): ILlmProvider | undefined { for (const node of getLlmRegistry().listEnabled()) { if (node.provider.hasModel(modelId)) { return node.provider; } } return undefined; } /** 根据模型 ID 查找所属 Provider 节点 */ export function findProviderNodeForModel(modelId: string) { for (const node of getLlmRegistry().listEnabled()) { if (node.provider.hasModel(modelId)) { return node; } } return undefined; } /** 获取所有支持工具调用的模型 */ export function getToolCapableModels(): Array<{ modelId: string; provider: ILlmProvider; node: any }> { const result: Array<{ modelId: string; provider: ILlmProvider; node: any }> = []; for (const node of getLlmRegistry().listAvailable()) { for (const modelId of node.provider.textModels) { const cfg = node.provider.getModelConfig(modelId); if (cfg?.supportsToolCall) { result.push({ modelId, provider: node.provider, node }); } } } return result; } /** 获取默认模型 ID */ export function getDefaultModelId(): string { return (config.models as any).textGeneration?.defaultModel || 'MiniMax-M2.7'; } /** 获取下一个支持工具调用的模型（用于故障切换） */ export function getNextToolCapableModel(currentModelId: string): string | null { const toolModels = getToolCapableModels().map(m => m.modelId); if (toolModels.length === 0) return null; const currentIdx = toolModels.indexOf(currentModelId); if (currentIdx === -1) return toolModels[0]; return toolModels[(currentIdx + 1) % toolModels.length] || null; } /** 获取可用供应商状态摘要 */ export function getLlmStatus() { return getLlmRegistry().getStatus().map(s => ({ ...s, modelCount: getLlmRegistry().get(s.name)?.provider.textModels.length || 0, })); } // ============ 定时健康检查 ============ let _healthCheckTimer: ReturnType<typeof setInterval> | null = null; const HEALTH_CHECK_INTERVAL_MS = 30_000; // 30s /** 启动定时健康检查，自动探测熔断供应商的恢复 */ export function startHealthCheck(): void { if (_healthCheckTimer) return; // 已启动 _healthCheckTimer = setInterval(async () => { const registry = getLlmRegistry(); // 检查熔断恢复 const broken = registry.listBroken(); for (const node of broken) { try { // 触发熔断器的 getState()，让 OPEN → HALF_OPEN 自动转换 const state = node.breaker.getState(); if (state === 'HALF_OPEN') { console.log(`[LLM HealthCheck] ${node.provider.displayName} 熔断冷却期已过，尝试探测...`); // 发送轻量请求探测恢复 const healthy = await node.provider.healthCheck?.(); if (healthy) { node.breaker.reset(); console.log(`[LLM HealthCheck] ✅ ${node.provider.displayName} 熔断器已恢复`); } else { console.log(`[LLM HealthCheck] ❌ ${node.provider.displayName} 探测失败，继续熔断`); } } } catch { // 探测异常，保持熔断 } } // 检查额度耗尽恢复 const exhausted = registry.listExhausted(); for (const node of exhausted) { try { const healthy = await node.provider.healthCheck?.(); if (healthy) { registry.clearExhausted(node.provider.name); console.log(`[LLM HealthCheck] ✅ ${node.provider.displayName} 额度已恢复`); } } catch { // 探测失败，保持耗尽 } } }, HEALTH_CHECK_INTERVAL_MS); console.log(`[LLM HealthCheck] 已启动，间隔 ${HEALTH_CHECK_INTERVAL_MS / 1000}s`); } /** 停止定时健康检查 */ export function stopHealthCheck(): void { if (_healthCheckTimer) { clearInterval(_healthCheckTimer); _healthCheckTimer = null; console.log('[LLM HealthCheck] 已停止'); } } |