508 lines
16 KiB
TypeScript
508 lines
16 KiB
TypeScript
import { createLogger } from "@/lib/observability/logger";
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import { isFalGptImage2EditModelId } from "@/lib/ai/providers/fal-image";
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import { getLanguageModelById } from "@/lib/ai/dynamic-provider";
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import { modelLacksReferenceImageInputSupport } from "@/lib/ai/reference-image-capability";
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import type { ChatMessage } from "@/lib/types";
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import { convertMessagesWithImages } from "./image-media";
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const chatApiLogger = createLogger("chat.imageFailover");
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export const IMAGE_FAILOVER_PROVIDER_ALLOWLIST = new Set([
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"alibaba-image",
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"bfl-image",
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"ruxa-image",
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"fal-image",
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"snapgen-image",
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"openai-image",
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"bananaimage",
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"visionary",
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"atlascloud",
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"vip98k",
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"stepfun-image",
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"runway",
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"krea",
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"grsai-gpt-image",
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"volcano-vision",
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"gemini",
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"huanke-gemini",
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]);
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const IMAGE_FAILOVER_MODEL_COOLDOWN_MS = 30 * 60 * 1000;
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const imageFailoverModelCooldown = new Map<string, { until: number; reason: string }>();
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export function resolveImageModelRuntimeId(
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model: { defaultParams?: unknown; modelId?: unknown; id?: unknown } | null | undefined,
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) {
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const defaultParams = model?.defaultParams;
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const defaultEndpoint =
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typeof defaultParams === "object" &&
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defaultParams !== null &&
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"endpoint" in defaultParams
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? String((defaultParams as Record<string, unknown>).endpoint || "").trim()
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: "";
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if (defaultEndpoint) {
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return defaultEndpoint;
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}
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const modelId = String(model?.modelId || "").trim();
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if (modelId) {
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return modelId;
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}
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return String(model?.id || "").trim();
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}
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export function normalizeFailoverErrorMessage(error: unknown): string {
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if (!error) return "";
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if (typeof error === "string") return error;
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if (error instanceof Error) return error.message || String(error);
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try {
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return JSON.stringify(error);
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} catch {
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return String(error);
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}
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}
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export function shouldCooldownImageFallbackModel(errorMessage: string): boolean {
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const msg = errorMessage.toLowerCase();
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return (
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msg.includes("model not found") ||
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msg.includes("model_not_found") ||
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msg.includes("no available channel for model") ||
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msg.includes("unknown model") ||
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msg.includes("invalid model") ||
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msg.includes("api key is missing") ||
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msg.includes("invalid api key") ||
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msg.includes("unauthorized") ||
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msg.includes("cannot convert argument to a bytestring") ||
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msg.includes("model maintenance") ||
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msg.includes("maintenance") ||
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msg.includes("维护中") ||
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msg.includes("维护") ||
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msg.includes("service unavailable") ||
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msg.includes("temporarily unavailable") ||
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msg.includes("系统繁忙") ||
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msg.includes("无可用渠道") ||
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/(?:^|\D)(?:429|500|502|503|504)(?:\D|$)/.test(msg)
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);
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}
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export function isImageFallbackModelCoolingDown(modelId: string): boolean {
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const snapshot = imageFailoverModelCooldown.get(modelId);
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if (!snapshot) return false;
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if (snapshot.until <= Date.now()) {
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imageFailoverModelCooldown.delete(modelId);
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return false;
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}
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return true;
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}
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export function setImageFallbackModelCooldown(modelId: string, reason: string): void {
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imageFailoverModelCooldown.set(modelId, {
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until: Date.now() + IMAGE_FAILOVER_MODEL_COOLDOWN_MS,
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reason: reason.slice(0, 500),
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});
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}
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export function isImageFailoverExcludedModel(model: { excludeFromFailover?: boolean } | null | undefined) {
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return Boolean(model?.excludeFromFailover);
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}
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export type ImageFallbackCandidate = {
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model: any;
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provider: any;
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configured: boolean;
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sameProvider: boolean;
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nameSimilarity: number;
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sameName: boolean;
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};
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const IMAGE_FAILOVER_SAME_NAME_THRESHOLD = 0.5;
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function getModelRefKeys(item: { model?: any } | null | undefined) {
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return [
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String(item?.model?.id || "").trim(),
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String(item?.model?.modelId || "").trim(),
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].filter(Boolean);
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}
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function normalizeModelNameForSimilarity(value: unknown) {
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return String(value || "")
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.trim()
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.toLowerCase()
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.replace(/[「」『』【】[\]()（）{}]/g, " ")
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.replace(/[_/|:：,，.。+]+/g, "-")
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.replace(/\s+/g, " ");
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}
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function tokenizeModelNameForSimilarity(value: unknown) {
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const normalized = normalizeModelNameForSimilarity(value);
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const compact = normalized.replace(/[^a-z0-9\u4e00-\u9fa5]+/g, "");
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const tokens = new Set(
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normalized
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.split(/[^a-z0-9\u4e00-\u9fa5]+/g)
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.map((item) => item.trim())
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.filter((item) => item.length >= 2)
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);
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if (compact.length >= 2) {
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tokens.add(compact);
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for (let index = 0; index < compact.length - 1; index += 1) {
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tokens.add(compact.slice(index, index + 2));
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}
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}
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return tokens;
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}
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function scoreModelNameSimilarity(
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source: { model?: any } | null | undefined,
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candidate: { model?: any } | null | undefined
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) {
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const sourceNames = [
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source?.model?.displayName,
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source?.model?.modelId,
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].filter(Boolean);
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const candidateNames = [
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candidate?.model?.displayName,
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candidate?.model?.modelId,
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].filter(Boolean);
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let bestScore = 0;
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for (const sourceName of sourceNames) {
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const sourceTokens = tokenizeModelNameForSimilarity(sourceName);
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if (sourceTokens.size === 0) continue;
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for (const candidateName of candidateNames) {
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const candidateTokens = tokenizeModelNameForSimilarity(candidateName);
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if (candidateTokens.size === 0) continue;
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let overlap = 0;
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sourceTokens.forEach((token) => {
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if (candidateTokens.has(token)) overlap += 1;
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});
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const score = overlap / Math.max(sourceTokens.size, candidateTokens.size);
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bestScore = Math.max(bestScore, score);
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}
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}
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return bestScore;
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}
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function resolveCurrentImageModelEntry(
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allModels: Array<{ model: any; provider: any }>,
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refs: string[]
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) {
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const normalizedRefs = new Set(refs.map((item) => String(item || "").trim()).filter(Boolean));
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if (normalizedRefs.size === 0) return null;
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return (
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allModels.find((item) =>
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getModelRefKeys(item).some((key) => normalizedRefs.has(key))
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) || null
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);
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}
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function messagePartHasImageInput(part: any) {
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if (!part || typeof part !== "object") return false;
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if (part.type === "file" || part.type === "image" || part.type === "image_url") {
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return true;
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}
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if (typeof part.url === "string" && /^https?:\/\//i.test(part.url)) {
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return true;
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}
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if (typeof part.image === "string" && part.image.trim()) {
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return true;
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}
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if (typeof part.image_url?.url === "string" && part.image_url.url.trim()) {
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return true;
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}
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return false;
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}
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function countImageInputPartsInMessage(message: any) {
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const countParts = (parts: any[] | undefined) =>
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Array.isArray(parts) ? parts.filter(messagePartHasImageInput).length : 0;
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const contentCount = countParts(Array.isArray(message?.content) ? message.content : undefined);
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if (contentCount > 0) return contentCount;
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return countParts(Array.isArray(message?.parts) ? message.parts : undefined);
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}
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export function countChatMessageImageInputs(messages: ChatMessage[]) {
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return messages.reduce(
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(count, message) => count + countImageInputPartsInMessage(message),
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0
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);
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}
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export function chatMessagesHaveImageInput(messages: ChatMessage[]) {
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return countChatMessageImageInputs(messages) > 0;
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}
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export function getImageFailoverConvertProvider(providerType?: string | null) {
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switch (providerType) {
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case "bfl-image":
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case "ruxa-image":
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case "fal-image":
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case "snapgen-image":
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case "openai-image":
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case "bananaimage":
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case "visionary":
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case "atlascloud":
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case "vip98k":
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case "stepfun-image":
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case "midjourney":
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case "runway":
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case "krea":
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case "gemini":
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case "huanke-gemini":
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return providerType;
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case "grsai-gpt-image":
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return "gemini";
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case "volcano-vision":
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return "volcano";
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default:
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return "alibaba-image";
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}
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}
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export function buildImageFallbackCandidates(
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allModels: Array<{ model: any; provider: any }>,
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options: {
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currentProviderId?: string;
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currentModelId?: string;
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currentModelKey?: string;
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configuredFallbackIds?: string[];
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}
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) {
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const { currentProviderId, currentModelId, currentModelKey, configuredFallbackIds = [] } = options;
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const currentEntry = resolveCurrentImageModelEntry(allModels, [
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currentModelId || "",
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currentModelKey || "",
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]);
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const configuredRefs = configuredFallbackIds
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.map((item) => String(item || "").trim())
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.filter(Boolean);
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const byModelRef = new Map<string, { model: any; provider: any }>();
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const isEligible = (item: { model: any; provider: any }, sameProvider: boolean) => {
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if (
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!item?.model?.supportsImageGen ||
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!item?.model?.isEnabled ||
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item?.model?.isSubModel ||
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isImageFailoverExcludedModel(item?.model) ||
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item?.model?.modelId === currentModelKey ||
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item?.model?.id === currentModelId
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) {
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return false;
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}
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const providerType = String(item?.provider?.type || "");
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if (!sameProvider && !IMAGE_FAILOVER_PROVIDER_ALLOWLIST.has(providerType)) {
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return false;
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}
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if (isImageFallbackModelCoolingDown(item.model.id)) {
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const cooldown = imageFailoverModelCooldown.get(item.model.id);
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chatApiLogger.info(`[Chat API] ⏭ Skip configured image fallback on cooldown: ${item.model.displayName} (${providerType}) - ${cooldown?.reason || "cooldown"}`);
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return false;
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}
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return true;
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};
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allModels.forEach((item) => {
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if (!item?.model) return;
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byModelRef.set(String(item.model.id), item);
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if (item.model.modelId) {
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byModelRef.set(String(item.model.modelId), item);
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}
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});
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const candidates: ImageFallbackCandidate[] = [];
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const seenModelIds = new Set<string>();
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const candidateOrder = new Map<string, number>();
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const pushCandidate = (item: { model: any; provider: any } | undefined, configured: boolean) => {
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if (!item?.model) return;
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const sameProvider = Boolean(currentProviderId && item.provider?.id === currentProviderId);
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if (!isEligible(item, sameProvider)) return;
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const modelId = String(item.model.id || "");
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if (!modelId || seenModelIds.has(modelId)) return;
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seenModelIds.add(modelId);
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candidateOrder.set(modelId, candidateOrder.size);
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const nameSimilarity = scoreModelNameSimilarity(currentEntry, item);
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candidates.push({
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model: item.model,
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provider: item.provider,
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configured,
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sameProvider,
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nameSimilarity,
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sameName: nameSimilarity >= IMAGE_FAILOVER_SAME_NAME_THRESHOLD,
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});
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};
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configuredRefs.forEach((modelRef) => {
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pushCandidate(byModelRef.get(modelRef), true);
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});
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if (currentProviderId) {
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allModels
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.filter((item) => item.provider?.id === currentProviderId)
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.forEach((item) => pushCandidate(item, false));
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}
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if (currentEntry) {
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allModels
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.filter((item) => scoreModelNameSimilarity(currentEntry, item) >= IMAGE_FAILOVER_SAME_NAME_THRESHOLD)
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.forEach((item) => pushCandidate(item, false));
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}
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return candidates.sort((left, right) => {
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if (left.sameName !== right.sameName) return left.sameName ? -1 : 1;
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if (left.configured !== right.configured) return left.configured ? -1 : 1;
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if (left.sameProvider !== right.sameProvider) return left.sameProvider ? -1 : 1;
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if (right.nameSimilarity !== left.nameSimilarity) {
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return right.nameSimilarity - left.nameSimilarity;
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}
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return (
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(candidateOrder.get(String(left.model.id || "")) ?? 0) -
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(candidateOrder.get(String(right.model.id || "")) ?? 0)
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);
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});
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}
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export async function generateImageWithFailoverCandidate(params: {
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candidate: ImageFallbackCandidate;
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messages: ChatMessage[];
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imageParams: any;
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fallbackImageParams: any;
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}) {
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const { candidate, messages, imageParams, fallbackImageParams } = params;
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const providerType = String(candidate.provider?.type || "");
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const candidateRuntimeModelId = resolveImageModelRuntimeId(candidate.model);
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if (
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chatMessagesHaveImageInput(messages) &&
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modelLacksReferenceImageInputSupport(candidate.model, candidate.provider)
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) {
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throw new Error(
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`备用模型不支持参考图/图生图输入：${candidate.model.displayName || candidate.model.id}`
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);
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}
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if (
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providerType === "fal-image" &&
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isFalGptImage2EditModelId(candidateRuntimeModelId)
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) {
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throw new Error("FAL GPT Image 2 Edit 仅支持异步队列调用，已跳过同步故障迁移");
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}
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const candidateLanguageModel = await getLanguageModelById(
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candidate.model.id,
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candidateRuntimeModelId
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);
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if (!candidateLanguageModel || typeof (candidateLanguageModel as any).doGenerate !== "function") {
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throw new Error(`备用模型不支持当前生图故障迁移调用：${candidate.model.displayName || candidate.model.id}`);
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}
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const candidateMessages = await convertMessagesWithImages(
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messages,
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getImageFailoverConvertProvider(providerType)
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);
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const effectiveImageParams = imageParams || fallbackImageParams;
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const imageInputCount = countChatMessageImageInputs(messages);
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chatApiLogger.info("[Chat API] Image failover candidate params:", {
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model: candidate.model?.modelId || candidate.model?.id,
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providerType,
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aspectRatio: effectiveImageParams?.aspectRatio,
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imageSize: effectiveImageParams?.imageSize,
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imageCount: effectiveImageParams?.imageCount,
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hasImageInput: imageInputCount > 0,
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imageInputCount,
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multiImageInput: imageInputCount > 1,
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});
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const candidateResult = await (candidateLanguageModel as any).doGenerate({
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messages: candidateMessages,
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imageParams: effectiveImageParams,
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imageGenConfig: candidate.model.imageGenConfig || null,
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modelDisplayName: candidate.model.displayName,
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overrideModelId: candidateRuntimeModelId || candidate.model.modelId,
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});
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if (candidateResult?.finishReason === "error") {
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throw new Error(candidateResult.text || "图片生成失败");
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}
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return {
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text: candidateResult.text || "",
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usedModelId: String(candidate.model.modelId || candidate.model.id || ""),
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displayName: String(candidate.model.displayName || candidate.model.modelId || candidate.model.id || ""),
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};
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}
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export function getImageCrossProviderCandidates(
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allModels: any[],
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options: {
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currentModelId: string;
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currentModelKey?: string;
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currentProviderId?: string;
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providerPriority: Record<string, number>;
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}
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) {
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const currentEntry = resolveCurrentImageModelEntry(allModels, [
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options.currentModelId,
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options.currentModelKey || "",
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]);
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return allModels
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.filter((m) => {
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if (
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!m?.model?.supportsImageGen ||
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!m?.model?.isEnabled ||
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m?.model?.isSubModel ||
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isImageFailoverExcludedModel(m?.model)
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) {
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return false;
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}
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if (!IMAGE_FAILOVER_PROVIDER_ALLOWLIST.has(String(m?.provider?.type || ""))) {
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return false;
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}
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if (m.model.id === options.currentModelId) return false;
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if (options.currentProviderId && m.provider.id === options.currentProviderId) return false;
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if (isImageFallbackModelCoolingDown(m.model.id)) {
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const cooldown = imageFailoverModelCooldown.get(m.model.id);
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chatApiLogger.info(`[Chat API] ⏭ Skip image failover model on cooldown: ${m.model.displayName} (${m.provider.type}) - ${cooldown?.reason || "cooldown"}`);
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return false;
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}
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return true;
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})
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.map((item, index) => {
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const nameSimilarity = scoreModelNameSimilarity(currentEntry, item);
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return {
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...item,
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__imageFailoverIndex: index,
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__imageFailoverNameSimilarity: nameSimilarity,
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__imageFailoverSameName:
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nameSimilarity >= IMAGE_FAILOVER_SAME_NAME_THRESHOLD,
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};
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})
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.sort((a, b) => {
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if (a.__imageFailoverSameName !== b.__imageFailoverSameName) {
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return a.__imageFailoverSameName ? -1 : 1;
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}
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if (b.__imageFailoverNameSimilarity !== a.__imageFailoverNameSimilarity) {
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return b.__imageFailoverNameSimilarity - a.__imageFailoverNameSimilarity;
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}
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const left = options.providerPriority[a.provider.type as string] ?? 99;
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const right = options.providerPriority[b.provider.type as string] ?? 99;
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if (left !== right) return left - right;
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const sortOrderDiff = (a.model.sortOrder ?? 0) - (b.model.sortOrder ?? 0);
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if (sortOrderDiff !== 0) return sortOrderDiff;
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return (a.__imageFailoverIndex ?? 0) - (b.__imageFailoverIndex ?? 0);
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})
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.map((item) => {
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const {
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||
__imageFailoverIndex,
|
||
__imageFailoverNameSimilarity,
|
||
__imageFailoverSameName,
|
||
...candidate
|
||
} = item;
|
||
return candidate;
|
||
});
|
||
}
|