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Merge pull request #512 from zhangqiang8vip/feat/zws-v6
feat: per-protocol model compatibility, HMR leak fixes, and dev performance (V2-V5)
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ZWS_README_V5.md
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ZWS_README_V5.md
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# ZWS_README_V5 — 按协议配置模型兼容性 + 前端性能优化
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V4 内容(HMR 泄漏修复、Edge 警告消除、测试稳定性)已完成;V5 在 V4 基础上实现**按协议维度配置模型兼容性**,新增前端查找性能优化与类型安全改进。
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---
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## 一、如何发现问题
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### 现象
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- 同一模型被 **OpenAI Chat Completions**、**OpenAI Responses API**、**Anthropic Messages** 三种客户端请求形态调用时,V2 的兼容性开关(工具 ID 9 位、不保留 developer 角色)是**全局生效**的——无法为不同协议设置不同的兼容策略。
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- 例如:用户希望 OpenAI Responses API 请求时不保留 developer 角色(MiniMax 422 修复),但 OpenAI Chat Completions 请求时保留。V2 下只能二选一。
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- 前端兼容性弹层未标明当前配置对应哪种协议,容易误导。
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- 前端组件中 `Array.find()` 在每次渲染时对 customModels 和 modelCompatOverrides 做 O(n) 线性扫描,模型数量多时存在不必要的性能开销。
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- `ModelCompatPatch` 类型定义与运行时逻辑不一致:`preserveOpenAIDeveloperRole` 字段需要支持 `null`(表示取消设置/恢复默认),但类型仅允许 `boolean`。
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### 排查过程
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1. **需求分析**:梳理 `detectFormat(body)` 返回的三种协议键(`openai`、`openai-responses`、`claude`),确认每种协议对 developer 角色和 tool call ID 的需求不同。
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2. **数据模型设计**:在现有 `normalizeToolCallId` / `preserveOpenAIDeveloperRole` 顶层字段基础上,设计 `compatByProtocol` 嵌套结构,按协议键细分。
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3. **构建问题**:客户端 `"use client"` 组件直接从 `@/lib/localDb` 引入常量时,间接拉入了 `node:crypto`(经由 `db/proxies.ts`),触发 Webpack `UnhandledSchemeError`。需将常量拆到 `shared/` 层。
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4. **前端性能**:通过 React DevTools 和代码审计发现 `effectiveNormalizeForProtocol` 等函数每次调用都对数组做 `find()`,在渲染列表时存在 O(n²) 的隐患。
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---
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## 二、根因分析
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### 根因 1(P0):兼容选项无协议维度
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V2 的 `normalizeToolCallId` / `preserveOpenAIDeveloperRole` 存储在模型级别的顶层字段,无法区分请求来源协议。`chatCore.ts` 中的 getter 函数只接收 `(providerId, modelId)` 两个参数,不感知当前请求的 `sourceFormat`。
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**影响**:跨协议场景下用户只能设置一个全局值,无法精确控制。
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### 根因 2(P1):客户端构建拉入 Node.js 模块
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`page.tsx`("use client")→ `@/lib/localDb` → `db/proxies.ts` → `import { randomUUID } from "node:crypto"`
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Webpack 无法处理 `node:` URI scheme,报 `UnhandledSchemeError`。虽然 V4 已将 `node:crypto` → `crypto` 修复了 `proxies.ts`,但 `localDb.ts` 的 barrel export 链仍然存在风险——客户端组件不应引入任何可能传递到 Node.js 模块的路径。
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### 根因 3(P2):前端查找性能
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`effectiveNormalizeForProtocol`、`effectivePreserveForProtocol`、`anyNormalizeCompatBadge`、`anyNoPreserveCompatBadge` 四个函数每次调用都使用 `Array.find()` 在 `customModels` 和 `modelCompatOverrides` 数组中查找目标模型。在模型列表渲染时,每个模型行会调用多次这些函数,导致 O(n × m) 的查找开销(n = 模型数,m = 每行调用次数)。
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### 根因 4(P2):类型定义与运行时不一致
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```typescript
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// V3 暂存区版本(有问题)
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export type ModelCompatPatch = Partial<
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Pick<
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ModelCompatOverride,
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"normalizeToolCallId" | "preserveOpenAIDeveloperRole" | "compatByProtocol"
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>
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>;
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```
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`ModelCompatOverride.preserveOpenAIDeveloperRole` 类型为 `boolean | undefined`,但 `mergeModelCompatOverride()` 内部有 `=== null` 判断(用于取消设置/恢复默认),类型层面无法覆盖。
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---
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## 三、修复方案
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### 修复 1:`compatByProtocol` 存储与读取(models.ts)
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**新增数据结构**:
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```typescript
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type CompatByProtocolMap = Partial<Record<ModelCompatProtocolKey, ModelCompatPerProtocol>>;
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export type ModelCompatOverride = {
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id: string;
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normalizeToolCallId?: boolean;
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preserveOpenAIDeveloperRole?: boolean;
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compatByProtocol?: CompatByProtocolMap; // 新增
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};
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```
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**读取优先级链**(适用于 `getModelNormalizeToolCallId` 和 `getModelPreserveOpenAIDeveloperRole`):
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```
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compatByProtocol[sourceFormat].field → 顶层 field → 默认值
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```
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1. 若 `sourceFormat` 属于已知协议键(`openai` / `openai-responses` / `claude`),且 `compatByProtocol[sourceFormat]` 中存在目标字段,使用该值。
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2. 否则回退到顶层字段。
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3. 顶层字段也不存在时使用默认值(normalizeToolCallId=false,preserveOpenAIDeveloperRole=undefined)。
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**深度合并逻辑** `deepMergeCompatByProtocol()`:
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- 对每个协议键,逐字段合并而非覆盖。
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- `normalizeToolCallId=false` 时删除该字段(不存储 false,减少冗余)。
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- 合并后若整个协议条目为空对象,删除该协议条目。
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- 协议键通过 `isCompatProtocolKey()` 白名单校验,拒绝未知键。
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**Getter 签名扩展**(向后兼容,第三参数可选):
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```typescript
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export function getModelNormalizeToolCallId(
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providerId: string,
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modelId: string,
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sourceFormat?: string | null
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): boolean;
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export function getModelPreserveOpenAIDeveloperRole(
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providerId: string,
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modelId: string,
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sourceFormat?: string | null
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): boolean | undefined;
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```
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**优点**:
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- 完全向后兼容:无 `sourceFormat` 参数时行为与 V2 完全一致。
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- 协议键白名单校验防止存储污染。
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- 深度合并保留未变更协议的配置。
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**缺点/注意**:
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- JSON 存储体积略增(每个模型最多增加 3 个协议条目)。
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- 新增 ~80 行 TypeScript 代码。
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### 修复 2:请求管线传入 sourceFormat(chatCore.ts)
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```typescript
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const normalizeToolCallId = getModelNormalizeToolCallId(
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provider || "",
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model || "",
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sourceFormat // 新增第三参
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);
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const preserveDeveloperRole = getModelPreserveOpenAIDeveloperRole(
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provider || "",
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model || "",
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sourceFormat // 新增第三参
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);
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```
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`sourceFormat` 由已有的 `detectFormat(body)` 返回,无需新增检测逻辑。
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**优点**:
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- 改动仅 2 行,精准传参。
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- 不影响其他 handler(embeddings、imageGeneration 等不涉及 developer 角色和 tool call ID)。
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### 修复 3:API 路由支持 compatByProtocol(route.ts)
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**PUT 请求体扩展**:
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- 解构 `compatByProtocol` 并传入 `updateCustomModel()`。
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- `compatOnly` 判断扩展:仅含 `provider` + `modelId` + 兼容字段时,走 `mergeModelCompatOverride()` 路径。
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- 使用 `ModelCompatPatch` 类型替代行内类型定义,统一类型来源。
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**Zod 校验 schema**:
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```typescript
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const modelCompatPerProtocolSchema = z.object({
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normalizeToolCallId: z.boolean().optional(),
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preserveOpenAIDeveloperRole: z.boolean().optional(),
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}).strict(); // strict: 拒绝额外字段
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compatByProtocol: z
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.record(z.enum(["openai", "openai-responses", "claude"]), modelCompatPerProtocolSchema)
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.optional(),
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```
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**优点**:
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- `.strict()` 防止客户端注入额外字段。
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- `z.enum()` 限定协议键,与后端白名单一致。
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- 仅传 `compatByProtocol` 即可更新,前端无需拼装完整模型对象。
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### 修复 4:客户端安全常量拆分(modelCompat.ts)
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**新增** `src/shared/constants/modelCompat.ts`:
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```typescript
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export const MODEL_COMPAT_PROTOCOL_KEYS = ["openai", "openai-responses", "claude"] as const;
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export type ModelCompatProtocolKey = (typeof MODEL_COMPAT_PROTOCOL_KEYS)[number];
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```
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- 不依赖 Node.js / DB 代码,客户端组件可安全引入。
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- `models.ts` 从此模块引入并再导出。
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- `localDb.ts` 新增 `ModelCompatPatch` 类型导出(供 route.ts 使用),不导出协议常量。
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- `page.tsx` 改为从 `@/shared/constants/modelCompat` 引入。
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**优点**:
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- 彻底切断客户端 → localDb → db → proxies → node:crypto 的依赖链。
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- 协议键定义单一来源(Single Source of Truth)。
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### 修复 5:前端协议选择器与按协议解析(page.tsx)
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**ModelCompatPopover 重构**:
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- 新增协议下拉选择器(`<select>`),可选 OpenAI Chat / OpenAI Responses / Anthropic Messages。
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- 两个开关(工具 ID 9 位、不保留 developer)**针对选中协议**生效。
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- 选择 Claude 协议时隐藏 developer 角色开关(developer 仅对 OpenAI 系有意义)。
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- 保存时以 `{ compatByProtocol: { [protocol]: payload } }` 形式提交,后端按协议合并。
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- 深色模式适配:下拉框使用 `bg-white dark:bg-zinc-800`、`text-zinc-900 dark:text-zinc-100`。
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**Props 接口重构**:
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旧接口(4 个独立值/回调):
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```typescript
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(normalizeToolCallId, preserveDeveloperRole, onNormalizeChange, onPreserveChange);
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```
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新接口(3 个函数式 props):
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```typescript
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effectiveModelNormalize: (protocol: string) => boolean
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effectiveModelPreserveDeveloper: (protocol: string) => boolean
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onCompatPatch: (protocol: string, payload: {...}) => void
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```
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所有消费方(`ModelRow`、`PassthroughModelRow`、`CustomModelsSection`、`CompatibleModelsSection`)已同步更新。
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**角标显示逻辑**:
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- `anyNormalizeCompatBadge()`:任意协议或顶层存在 `normalizeToolCallId=true` 即显示「ID×9」角标。
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- `anyNoPreserveCompatBadge()`:任意协议或顶层存在 `preserveOpenAIDeveloperRole=false` 即显示「不保留」角标。
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**CustomModelsSection 增强**:
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- 新增 `modelCompatOverrides` 状态,从 API 响应中获取。
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- 新增 `saveCustomCompat()` 函数,支持仅传 `compatByProtocol` 的独立保存。
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### 修复 6:前端 Map 查找性能优化(page.tsx)
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**问题**:`effectiveNormalizeForProtocol` 等函数对 `customModels` 和 `modelCompatOverrides` 用 `Array.find()` 做 O(n) 查找,在列表渲染时每个模型行多次调用。
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**方案**:使用 `useMemo` + `Map` 将数组预建为 O(1) 查找表。
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```typescript
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type CompatModelMap = Map<string, CompatModelRow>;
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function buildCompatMap(rows: CompatModelRow[]): CompatModelMap {
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const m = new Map<string, CompatModelRow>();
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for (const r of rows) if (r.id) m.set(r.id, r);
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return m;
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}
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// 在组件内
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const customMap = useMemo(() => buildCompatMap(modelMeta.customModels), [modelMeta.customModels]);
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const overrideMap = useMemo(
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() => buildCompatMap(modelMeta.modelCompatOverrides),
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[modelMeta.modelCompatOverrides]
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);
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```
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所有查找函数签名从 `(modelId, protocol, customModels[], overrides[])` 改为 `(modelId, protocol, customMap, overrideMap)`,内部使用 `Map.get()` 替代 `Array.find()`。
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**优点**:
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- 查找从 O(n) 降为 O(1)。
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- `useMemo` 依赖项正确,仅在数据变化时重建 Map。
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- `CustomModelsSection` 内部也独立构建 Map,不依赖父组件。
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### 修复 7:ModelCompatPatch 类型修正(models.ts)
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```typescript
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// 修复后 — 显式允许 null
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export type ModelCompatPatch = {
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normalizeToolCallId?: boolean;
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preserveOpenAIDeveloperRole?: boolean | null; // null = 取消设置/恢复默认
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compatByProtocol?: CompatByProtocolMap;
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};
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```
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与 `mergeModelCompatOverride()` 内的 `=== null` 判断逻辑一致,类型安全。
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### 修复 8:CompatByProtocolMap 类型收紧(page.tsx)
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客户端 `CompatByProtocolMap` 从 `Record<string, ...>` 改为 `Record<ModelCompatProtocolKey, ...>`,增强类型安全,防止传入未知协议键。
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### 修复 9:i18n 文案新增
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| 键名 | 中文 | 英文 |
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| ------------------------------- | --------------------------------------------- | -------------------------------------------------------------- |
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| `compatProtocolLabel` | 客户端请求协议 | Client request protocol |
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| `compatProtocolHint` | 以下选项在 OmniRoute 识别到该请求形态时生效。 | These options apply when OmniRoute detects this request shape. |
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| `compatProtocolOpenAI` | OpenAI Chat Completions | OpenAI Chat Completions |
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| `compatProtocolOpenAIResponses` | OpenAI Responses API | OpenAI Responses API |
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| `compatProtocolClaude` | Anthropic Messages | Anthropic Messages |
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---
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## 四、使用方式
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1. 点击模型行的 **「兼容性」** 按钮。
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2. 在弹层内先选择 **「客户端请求协议」**(OpenAI Chat / OpenAI Responses / Anthropic Messages)。
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3. 勾选该协议下的「工具 ID 9 位」或「不保留 developer 角色」。
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4. 保存后,仅在该协议形态的请求下生效。
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5. 未配置某协议时,该协议下行为回退到顶层兼容字段(若存在),再回退到默认值(保留 developer、不规范化 tool id)。
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6. 角标「ID×9」「不保留」在任意协议存在对应配置时显示。
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---
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## 五、预期效果
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| 指标 | 修复前 | 修复后 |
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| ------------------------- | --------------------- | ------------------------------------------ |
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| 兼容性配置维度 | 全局(模型级) | 按协议(OpenAI Chat / Responses / Claude) |
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| developer 角色精确控制 | 不支持 | 支持(如:仅 Responses API 不保留) |
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| 前端兼容性查找性能 | O(n) Array.find | O(1) Map.get(useMemo 缓存) |
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| ModelCompatPatch 类型安全 | null 值无类型覆盖 | 显式 `boolean \| null` |
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| 客户端构建风险 | 可能引入 Node.js 模块 | 已隔离(shared/constants 层) |
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| API 验证 | 无 compatByProtocol | Zod strict schema 校验 |
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| 深色模式 | 协议选择器不可读 | bg/text 适配 dark 主题 |
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||||
---
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## 六、涉及文件清单
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| 区域 | 文件 | 改动类型 |
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| ---------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------ |
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| 协议常量 | `src/shared/constants/modelCompat.ts` | **新建**,客户端安全的协议键与类型 |
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| 存储与读写 | `src/lib/db/models.ts` | `compatByProtocol` 数据结构、深度合并、getter 第三参 `sourceFormat`、`ModelCompatPatch` 类型修正 |
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| 再导出层 | `src/lib/localDb.ts` | 新增 `ModelCompatPatch` 类型导出 |
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| API 路由 | `src/app/api/provider-models/route.ts` | PUT 支持 `compatByProtocol`,使用 `ModelCompatPatch` 类型 |
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| 输入校验 | `src/shared/validation/schemas.ts` | `modelCompatPerProtocolSchema`(strict)+ `compatByProtocol` 记录校验 |
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| 请求管线 | `open-sse/handlers/chatCore.ts` | `getModelNormalizeToolCallId` / `getModelPreserveOpenAIDeveloperRole` 传入 `sourceFormat` |
|
||||
| 前端 UI | `src/app/(dashboard)/dashboard/providers/[id]/page.tsx` | 协议选择器、按协议解析/保存、角标逻辑、Map 性能优化、类型收紧 |
|
||||
| i18n | `src/i18n/messages/en.json`,`src/i18n/messages/zh-CN.json` | 5 条新文案 |
|
||||
|
||||
---
|
||||
|
||||
## 七、回退方案
|
||||
|
||||
- **禁用按协议配置**:删除 `compatByProtocol` 字段后,getter 自动回退到顶层字段,行为与 V2 一致。
|
||||
- **前端 Map 优化回退**:将 `Map.get()` 改回 `Array.find()` 即可,纯性能优化无功能耦合。
|
||||
- **客户端常量回退**:将 `MODEL_COMPAT_PROTOCOL_KEYS` 定义移回 `models.ts` 并从 `localDb.ts` 导出(需同时确保 `node:crypto` 问题不再存在)。
|
||||
- **生产环境**:以上修复对生产构建无负面影响。`compatByProtocol` 为可选字段,未配置时默认行为不变。API Zod 校验确保不会接受畸形数据。
|
||||
@@ -82,7 +82,7 @@ export class DefaultExecutor extends BaseExecutor {
|
||||
/**
|
||||
* For compatible providers, the model name is already clean by the time
|
||||
* it reaches the executor (chatCore sets body.model = modelInfo.model,
|
||||
* which is the parsed model ID without any internal routing prefix).
|
||||
* which is the parsed model ID without internal routing prefixes).
|
||||
*
|
||||
* Models may legitimately contain "/" as part of their ID (e.g. "zai-org/GLM-5-FP8",
|
||||
* "org/model-name") — we must NOT strip path segments. (Fix #493)
|
||||
|
||||
@@ -317,10 +317,15 @@ export async function handleChatCore({
|
||||
}
|
||||
}
|
||||
|
||||
const normalizeToolCallId = getModelNormalizeToolCallId(provider || "", model || "");
|
||||
const normalizeToolCallId = getModelNormalizeToolCallId(
|
||||
provider || "",
|
||||
model || "",
|
||||
sourceFormat
|
||||
);
|
||||
const preserveDeveloperRole = getModelPreserveOpenAIDeveloperRole(
|
||||
provider || "",
|
||||
model || ""
|
||||
model || "",
|
||||
sourceFormat
|
||||
);
|
||||
translatedBody = translateRequest(
|
||||
sourceFormat,
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
"use client";
|
||||
|
||||
import { useState, useEffect, useCallback, useRef } from "react";
|
||||
import { useState, useEffect, useCallback, useRef, useMemo } from "react";
|
||||
import { useNotificationStore } from "@/store/notificationStore";
|
||||
import PropTypes from "prop-types";
|
||||
import { useParams, useRouter } from "next/navigation";
|
||||
@@ -31,6 +31,129 @@ import {
|
||||
} from "@/shared/constants/providers";
|
||||
import { getModelsByProviderId } from "@/shared/constants/models";
|
||||
import { useCopyToClipboard } from "@/shared/hooks/useCopyToClipboard";
|
||||
import {
|
||||
MODEL_COMPAT_PROTOCOL_KEYS,
|
||||
type ModelCompatProtocolKey,
|
||||
} from "@/shared/constants/modelCompat";
|
||||
|
||||
type CompatByProtocolMap = Partial<
|
||||
Record<
|
||||
ModelCompatProtocolKey,
|
||||
{ normalizeToolCallId?: boolean; preserveOpenAIDeveloperRole?: boolean }
|
||||
>
|
||||
>;
|
||||
type CompatModelRow = {
|
||||
id?: string;
|
||||
name?: string;
|
||||
source?: string;
|
||||
apiFormat?: string;
|
||||
supportedEndpoints?: string[];
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
};
|
||||
|
||||
type CompatModelMap = Map<string, CompatModelRow>;
|
||||
|
||||
function buildCompatMap(rows: CompatModelRow[]): CompatModelMap {
|
||||
const m = new Map<string, CompatModelRow>();
|
||||
for (const r of rows) if (r.id) m.set(r.id, r);
|
||||
return m;
|
||||
}
|
||||
|
||||
function getProtoSlice(
|
||||
c: CompatModelRow | undefined,
|
||||
o: CompatModelRow | undefined,
|
||||
protocol: string
|
||||
) {
|
||||
return c?.compatByProtocol?.[protocol] ?? o?.compatByProtocol?.[protocol];
|
||||
}
|
||||
|
||||
function effectiveNormalizeForProtocol(
|
||||
modelId: string,
|
||||
protocol: string,
|
||||
customMap: CompatModelMap,
|
||||
overrideMap: CompatModelMap
|
||||
): boolean {
|
||||
const c = customMap.get(modelId);
|
||||
const o = overrideMap.get(modelId);
|
||||
const pc = getProtoSlice(c, o, protocol);
|
||||
if (pc && Object.prototype.hasOwnProperty.call(pc, "normalizeToolCallId")) {
|
||||
return Boolean(pc.normalizeToolCallId);
|
||||
}
|
||||
if (c?.normalizeToolCallId) return true;
|
||||
return Boolean(o?.normalizeToolCallId);
|
||||
}
|
||||
|
||||
function effectivePreserveForProtocol(
|
||||
modelId: string,
|
||||
protocol: string,
|
||||
customMap: CompatModelMap,
|
||||
overrideMap: CompatModelMap
|
||||
): boolean {
|
||||
const c = customMap.get(modelId);
|
||||
const o = overrideMap.get(modelId);
|
||||
const pc = getProtoSlice(c, o, protocol);
|
||||
if (pc && Object.prototype.hasOwnProperty.call(pc, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(pc.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
if (c && Object.prototype.hasOwnProperty.call(c, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(c.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
if (o && Object.prototype.hasOwnProperty.call(o, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(o.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
function anyNormalizeCompatBadge(
|
||||
modelId: string,
|
||||
customMap: CompatModelMap,
|
||||
overrideMap: CompatModelMap
|
||||
): boolean {
|
||||
const c = customMap.get(modelId);
|
||||
const o = overrideMap.get(modelId);
|
||||
if (c?.normalizeToolCallId || o?.normalizeToolCallId) return true;
|
||||
for (const p of MODEL_COMPAT_PROTOCOL_KEYS) {
|
||||
const pc = getProtoSlice(c, o, p);
|
||||
if (pc?.normalizeToolCallId) return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
function anyNoPreserveCompatBadge(
|
||||
modelId: string,
|
||||
customMap: CompatModelMap,
|
||||
overrideMap: CompatModelMap
|
||||
): boolean {
|
||||
const c = customMap.get(modelId);
|
||||
const o = overrideMap.get(modelId);
|
||||
if (
|
||||
c &&
|
||||
Object.prototype.hasOwnProperty.call(c, "preserveOpenAIDeveloperRole") &&
|
||||
c.preserveOpenAIDeveloperRole === false
|
||||
) {
|
||||
return true;
|
||||
}
|
||||
if (
|
||||
o &&
|
||||
Object.prototype.hasOwnProperty.call(o, "preserveOpenAIDeveloperRole") &&
|
||||
o.preserveOpenAIDeveloperRole === false
|
||||
) {
|
||||
return true;
|
||||
}
|
||||
for (const p of MODEL_COMPAT_PROTOCOL_KEYS) {
|
||||
const pc = getProtoSlice(c, o, p);
|
||||
if (
|
||||
pc &&
|
||||
Object.prototype.hasOwnProperty.call(pc, "preserveOpenAIDeveloperRole") &&
|
||||
pc.preserveOpenAIDeveloperRole === false
|
||||
) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
interface ModelRowProps {
|
||||
model: { id: string };
|
||||
@@ -40,10 +163,16 @@ interface ModelRowProps {
|
||||
onCopy: (text: string, key: string) => void;
|
||||
t: (key: string, values?: Record<string, unknown>) => string;
|
||||
showDeveloperToggle?: boolean;
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveDeveloperRole?: boolean;
|
||||
onNormalizeChange?: (v: boolean) => void;
|
||||
onPreserveChange?: (v: boolean) => void;
|
||||
effectiveModelNormalize: (modelId: string, protocol?: string) => boolean;
|
||||
effectiveModelPreserveDeveloper: (modelId: string, protocol?: string) => boolean;
|
||||
saveModelCompatFlags: (
|
||||
modelId: string,
|
||||
patch: {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
}
|
||||
) => void;
|
||||
compatDisabled?: boolean;
|
||||
}
|
||||
|
||||
@@ -55,10 +184,16 @@ interface PassthroughModelRowProps {
|
||||
onDeleteAlias: () => void;
|
||||
t: (key: string, values?: Record<string, unknown>) => string;
|
||||
showDeveloperToggle?: boolean;
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveDeveloperRole?: boolean;
|
||||
onNormalizeChange?: (v: boolean) => void;
|
||||
onPreserveChange?: (v: boolean) => void;
|
||||
effectiveModelNormalize: (modelId: string, protocol?: string) => boolean;
|
||||
effectiveModelPreserveDeveloper: (modelId: string, protocol?: string) => boolean;
|
||||
saveModelCompatFlags: (
|
||||
modelId: string,
|
||||
patch: {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
}
|
||||
) => void;
|
||||
compatDisabled?: boolean;
|
||||
}
|
||||
|
||||
@@ -230,27 +365,43 @@ function normalizeCodexLimitPolicy(policy: unknown): { use5h: boolean; useWeekly
|
||||
};
|
||||
}
|
||||
|
||||
function compatProtocolLabelKey(protocol: string): string {
|
||||
if (protocol === "openai") return "compatProtocolOpenAI";
|
||||
if (protocol === "openai-responses") return "compatProtocolOpenAIResponses";
|
||||
if (protocol === "claude") return "compatProtocolClaude";
|
||||
return "compatProtocolOpenAI";
|
||||
}
|
||||
|
||||
function ModelCompatPopover({
|
||||
t,
|
||||
normalizeToolCallId,
|
||||
preserveDeveloperRole,
|
||||
effectiveModelNormalize,
|
||||
effectiveModelPreserveDeveloper,
|
||||
onCompatPatch,
|
||||
showDeveloperToggle = true,
|
||||
onNormalizeChange,
|
||||
onPreserveChange,
|
||||
disabled,
|
||||
}: {
|
||||
t: (key: string) => string;
|
||||
normalizeToolCallId: boolean;
|
||||
preserveDeveloperRole?: boolean;
|
||||
effectiveModelNormalize: (protocol: string) => boolean;
|
||||
effectiveModelPreserveDeveloper: (protocol: string) => boolean;
|
||||
onCompatPatch: (
|
||||
protocol: string,
|
||||
payload: {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
}
|
||||
) => void;
|
||||
showDeveloperToggle?: boolean;
|
||||
onNormalizeChange: (v: boolean) => void;
|
||||
onPreserveChange: (v: boolean) => void;
|
||||
disabled?: boolean;
|
||||
}) {
|
||||
const [open, setOpen] = useState(false);
|
||||
const [protocol, setProtocol] = useState<string>(MODEL_COMPAT_PROTOCOL_KEYS[0]);
|
||||
const ref = useRef<HTMLDivElement>(null);
|
||||
const panelRef = useRef<HTMLDivElement | null>(null);
|
||||
|
||||
const normalizeToolCallId = effectiveModelNormalize(protocol);
|
||||
const preserveDeveloperRole = effectiveModelPreserveDeveloper(protocol);
|
||||
const devToggle = showDeveloperToggle && protocol !== "claude";
|
||||
|
||||
// Click-outside: check both trigger and panel so that if the panel is ever rendered
|
||||
// in a portal (outside this subtree), clicks inside the panel still do not close it.
|
||||
useEffect(() => {
|
||||
@@ -280,32 +431,47 @@ function ModelCompatPopover({
|
||||
{open && (
|
||||
<div
|
||||
ref={panelRef}
|
||||
className="absolute left-0 top-full mt-1 z-50 min-w-[200px] p-3 rounded-lg border border-border bg-white dark:bg-zinc-900 shadow-xl ring-1 ring-black/5 dark:ring-white/10"
|
||||
className="absolute left-0 top-full mt-1 z-50 min-w-[220px] max-w-[92vw] p-3 rounded-lg border border-border bg-white dark:bg-zinc-900 shadow-xl ring-1 ring-black/5 dark:ring-white/10"
|
||||
>
|
||||
<p className="text-[10px] font-semibold uppercase tracking-wide text-text-muted mb-2">
|
||||
<p className="text-[10px] font-semibold uppercase tracking-wide text-text-muted mb-1">
|
||||
{t("compatAdjustmentsTitle")}
|
||||
</p>
|
||||
<p className="text-[10px] text-text-muted mb-2 leading-snug">{t("compatProtocolHint")}</p>
|
||||
<label className="block text-[10px] font-medium text-text-muted mb-1">
|
||||
{t("compatProtocolLabel")}
|
||||
</label>
|
||||
<select
|
||||
value={protocol}
|
||||
onChange={(e) => setProtocol(e.target.value)}
|
||||
disabled={disabled}
|
||||
className="w-full mb-3 px-2 py-1.5 text-xs rounded-md border border-border bg-white dark:bg-zinc-800 text-zinc-900 dark:text-zinc-100 focus:outline-none focus:ring-1 focus:ring-primary/50"
|
||||
>
|
||||
{MODEL_COMPAT_PROTOCOL_KEYS.map((p) => (
|
||||
<option key={p} value={p}>
|
||||
{t(compatProtocolLabelKey(p))}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
<div className="flex flex-col gap-3">
|
||||
<Toggle
|
||||
size="sm"
|
||||
label={t("compatToolIdShort")}
|
||||
title={t("normalizeToolCallIdLabel")}
|
||||
checked={normalizeToolCallId}
|
||||
onChange={onNormalizeChange}
|
||||
onChange={(v) => onCompatPatch(protocol, { normalizeToolCallId: v })}
|
||||
disabled={disabled}
|
||||
/>
|
||||
{showDeveloperToggle && (
|
||||
<>
|
||||
{/* Inversion: Toggle checked = "do not preserve" (UI). onPreserveChange(val) = value to store (true = preserve, false = do not preserve), so we pass !checked. */}
|
||||
<Toggle
|
||||
size="sm"
|
||||
label={t("compatDoNotPreserveDeveloper")}
|
||||
title={t("preserveDeveloperRoleLabel")}
|
||||
checked={preserveDeveloperRole === false}
|
||||
onChange={(checked) => onPreserveChange(!checked)}
|
||||
disabled={disabled}
|
||||
/>
|
||||
</>
|
||||
{devToggle && (
|
||||
<Toggle
|
||||
size="sm"
|
||||
label={t("compatDoNotPreserveDeveloper")}
|
||||
title={t("preserveDeveloperRoleLabel")}
|
||||
checked={preserveDeveloperRole === false}
|
||||
onChange={(checked) =>
|
||||
onCompatPatch(protocol, { preserveOpenAIDeveloperRole: !checked })
|
||||
}
|
||||
disabled={disabled}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
@@ -350,12 +516,8 @@ export default function ProviderDetailPage() {
|
||||
importedCount: 0,
|
||||
});
|
||||
const [modelMeta, setModelMeta] = useState<{
|
||||
customModels: Record<string, unknown>[];
|
||||
modelCompatOverrides: {
|
||||
id: string;
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
}[];
|
||||
customModels: CompatModelRow[];
|
||||
modelCompatOverrides: Array<CompatModelRow & { id: string }>;
|
||||
}>({ customModels: [], modelCompatOverrides: [] });
|
||||
const [compatSavingModelId, setCompatSavingModelId] = useState<string | null>(null);
|
||||
|
||||
@@ -1020,48 +1182,91 @@ export default function ProviderDetailPage() {
|
||||
|
||||
const canImportModels = connections.some((conn) => conn.isActive !== false);
|
||||
|
||||
const effectiveModelNormalize = (modelId: string) => {
|
||||
const c = modelMeta.customModels.find((m: { id?: string }) => m.id === modelId) as
|
||||
| { normalizeToolCallId?: boolean }
|
||||
| undefined;
|
||||
if (c) return Boolean(c.normalizeToolCallId);
|
||||
const o = modelMeta.modelCompatOverrides.find((e) => e.id === modelId);
|
||||
return Boolean(o?.normalizeToolCallId);
|
||||
};
|
||||
const customMap = useMemo(() => buildCompatMap(modelMeta.customModels), [modelMeta.customModels]);
|
||||
const overrideMap = useMemo(
|
||||
() => buildCompatMap(modelMeta.modelCompatOverrides),
|
||||
[modelMeta.modelCompatOverrides]
|
||||
);
|
||||
|
||||
const effectiveModelPreserveDeveloper = (modelId: string) => {
|
||||
const c = modelMeta.customModels.find((m: { id?: string }) => m.id === modelId) as
|
||||
| Record<string, unknown>
|
||||
| undefined;
|
||||
if (c && Object.prototype.hasOwnProperty.call(c, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(c.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
const o = modelMeta.modelCompatOverrides.find((e) => e.id === modelId);
|
||||
if (o && Object.prototype.hasOwnProperty.call(o, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(o.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
return true;
|
||||
};
|
||||
const effectiveModelNormalize = (modelId: string, protocol = MODEL_COMPAT_PROTOCOL_KEYS[0]) =>
|
||||
effectiveNormalizeForProtocol(modelId, protocol, customMap, overrideMap);
|
||||
|
||||
const effectiveModelPreserveDeveloper = (
|
||||
modelId: string,
|
||||
protocol = MODEL_COMPAT_PROTOCOL_KEYS[0]
|
||||
) => effectivePreserveForProtocol(modelId, protocol, customMap, overrideMap);
|
||||
|
||||
const saveModelCompatFlags = async (
|
||||
modelId: string,
|
||||
patch: { normalizeToolCallId?: boolean; preserveOpenAIDeveloperRole?: boolean }
|
||||
patch: {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
}
|
||||
) => {
|
||||
setCompatSavingModelId(modelId);
|
||||
try {
|
||||
const body: Record<string, unknown> = { provider: providerId, modelId, ...patch };
|
||||
const c = customMap.get(modelId) as Record<string, unknown> | undefined;
|
||||
let body: Record<string, unknown>;
|
||||
const onlyCompatByProtocol =
|
||||
patch.compatByProtocol &&
|
||||
patch.normalizeToolCallId === undefined &&
|
||||
patch.preserveOpenAIDeveloperRole === undefined;
|
||||
|
||||
if (c) {
|
||||
if (onlyCompatByProtocol) {
|
||||
body = {
|
||||
provider: providerId,
|
||||
modelId,
|
||||
compatByProtocol: patch.compatByProtocol,
|
||||
};
|
||||
} else {
|
||||
body = {
|
||||
provider: providerId,
|
||||
modelId,
|
||||
modelName: (c.name as string) || modelId,
|
||||
source: (c.source as string) || "manual",
|
||||
apiFormat: (c.apiFormat as string) || "chat-completions",
|
||||
supportedEndpoints:
|
||||
Array.isArray(c.supportedEndpoints) && (c.supportedEndpoints as unknown[]).length
|
||||
? c.supportedEndpoints
|
||||
: ["chat"],
|
||||
normalizeToolCallId:
|
||||
patch.normalizeToolCallId !== undefined
|
||||
? patch.normalizeToolCallId
|
||||
: Boolean(c.normalizeToolCallId),
|
||||
preserveOpenAIDeveloperRole:
|
||||
patch.preserveOpenAIDeveloperRole !== undefined
|
||||
? patch.preserveOpenAIDeveloperRole
|
||||
: Object.prototype.hasOwnProperty.call(c, "preserveOpenAIDeveloperRole")
|
||||
? Boolean(c.preserveOpenAIDeveloperRole)
|
||||
: true,
|
||||
};
|
||||
if (patch.compatByProtocol) body.compatByProtocol = patch.compatByProtocol;
|
||||
}
|
||||
} else {
|
||||
body = { provider: providerId, modelId, ...patch };
|
||||
}
|
||||
const res = await fetch("/api/provider-models", {
|
||||
method: "PUT",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(body),
|
||||
});
|
||||
if (res.ok) await fetchProviderModelMeta();
|
||||
else notify.error(t("failedSaveCustomModel"));
|
||||
if (!res.ok) {
|
||||
notify.error(t("failedSaveCustomModel"));
|
||||
return;
|
||||
}
|
||||
} catch {
|
||||
notify.error(t("failedSaveCustomModel"));
|
||||
return;
|
||||
} finally {
|
||||
setCompatSavingModelId(null);
|
||||
}
|
||||
try {
|
||||
await fetchProviderModelMeta();
|
||||
} catch {
|
||||
/* refresh failure is non-critical — data was already saved */
|
||||
}
|
||||
};
|
||||
|
||||
const renderModelsSection = () => {
|
||||
@@ -1166,14 +1371,9 @@ export default function ProviderDetailPage() {
|
||||
onCopy={copy}
|
||||
t={t}
|
||||
showDeveloperToggle
|
||||
normalizeToolCallId={effectiveModelNormalize(model.id)}
|
||||
preserveDeveloperRole={effectiveModelPreserveDeveloper(model.id)}
|
||||
onNormalizeChange={(v) =>
|
||||
saveModelCompatFlags(model.id, { normalizeToolCallId: v })
|
||||
}
|
||||
onPreserveChange={(v) =>
|
||||
saveModelCompatFlags(model.id, { preserveOpenAIDeveloperRole: v })
|
||||
}
|
||||
effectiveModelNormalize={effectiveModelNormalize}
|
||||
effectiveModelPreserveDeveloper={effectiveModelPreserveDeveloper}
|
||||
saveModelCompatFlags={saveModelCompatFlags}
|
||||
compatDisabled={compatSavingModelId === model.id}
|
||||
/>
|
||||
);
|
||||
@@ -1813,10 +2013,9 @@ function ModelRow({
|
||||
onCopy,
|
||||
t,
|
||||
showDeveloperToggle = true,
|
||||
normalizeToolCallId,
|
||||
preserveDeveloperRole,
|
||||
onNormalizeChange,
|
||||
onPreserveChange,
|
||||
effectiveModelNormalize,
|
||||
effectiveModelPreserveDeveloper,
|
||||
saveModelCompatFlags,
|
||||
compatDisabled,
|
||||
}: ModelRowProps) {
|
||||
return (
|
||||
@@ -1840,11 +2039,12 @@ function ModelRow({
|
||||
</div>
|
||||
<ModelCompatPopover
|
||||
t={t}
|
||||
normalizeToolCallId={Boolean(normalizeToolCallId)}
|
||||
preserveDeveloperRole={preserveDeveloperRole}
|
||||
effectiveModelNormalize={(p) => effectiveModelNormalize(model.id, p)}
|
||||
effectiveModelPreserveDeveloper={(p) => effectiveModelPreserveDeveloper(model.id, p)}
|
||||
onCompatPatch={(protocol, payload) =>
|
||||
saveModelCompatFlags(model.id, { compatByProtocol: { [protocol]: payload } })
|
||||
}
|
||||
showDeveloperToggle={showDeveloperToggle}
|
||||
onNormalizeChange={onNormalizeChange}
|
||||
onPreserveChange={onPreserveChange}
|
||||
disabled={compatDisabled}
|
||||
/>
|
||||
</div>
|
||||
@@ -1861,10 +2061,9 @@ ModelRow.propTypes = {
|
||||
onCopy: PropTypes.func.isRequired,
|
||||
t: PropTypes.func,
|
||||
showDeveloperToggle: PropTypes.bool,
|
||||
normalizeToolCallId: PropTypes.bool,
|
||||
preserveDeveloperRole: PropTypes.bool,
|
||||
onNormalizeChange: PropTypes.func,
|
||||
onPreserveChange: PropTypes.func,
|
||||
effectiveModelNormalize: PropTypes.func.isRequired,
|
||||
effectiveModelPreserveDeveloper: PropTypes.func.isRequired,
|
||||
saveModelCompatFlags: PropTypes.func.isRequired,
|
||||
compatDisabled: PropTypes.bool,
|
||||
};
|
||||
|
||||
@@ -1960,12 +2159,9 @@ function PassthroughModelsSection({
|
||||
onDeleteAlias={() => onDeleteAlias(alias)}
|
||||
t={t}
|
||||
showDeveloperToggle
|
||||
normalizeToolCallId={effectiveModelNormalize(modelId)}
|
||||
preserveDeveloperRole={effectiveModelPreserveDeveloper(modelId)}
|
||||
onNormalizeChange={(v) => saveModelCompatFlags(modelId, { normalizeToolCallId: v })}
|
||||
onPreserveChange={(v) =>
|
||||
saveModelCompatFlags(modelId, { preserveOpenAIDeveloperRole: v })
|
||||
}
|
||||
effectiveModelNormalize={effectiveModelNormalize}
|
||||
effectiveModelPreserveDeveloper={effectiveModelPreserveDeveloper}
|
||||
saveModelCompatFlags={saveModelCompatFlags}
|
||||
compatDisabled={compatSavingModelId === modelId}
|
||||
/>
|
||||
))}
|
||||
@@ -1997,10 +2193,9 @@ function PassthroughModelRow({
|
||||
onDeleteAlias,
|
||||
t,
|
||||
showDeveloperToggle = true,
|
||||
normalizeToolCallId,
|
||||
preserveDeveloperRole,
|
||||
onNormalizeChange,
|
||||
onPreserveChange,
|
||||
effectiveModelNormalize,
|
||||
effectiveModelPreserveDeveloper,
|
||||
saveModelCompatFlags,
|
||||
compatDisabled,
|
||||
}: PassthroughModelRowProps) {
|
||||
return (
|
||||
@@ -2037,11 +2232,12 @@ function PassthroughModelRow({
|
||||
<div className="pl-9">
|
||||
<ModelCompatPopover
|
||||
t={t}
|
||||
normalizeToolCallId={Boolean(normalizeToolCallId)}
|
||||
preserveDeveloperRole={preserveDeveloperRole}
|
||||
effectiveModelNormalize={(p) => effectiveModelNormalize(modelId, p)}
|
||||
effectiveModelPreserveDeveloper={(p) => effectiveModelPreserveDeveloper(modelId, p)}
|
||||
onCompatPatch={(protocol, payload) =>
|
||||
saveModelCompatFlags(modelId, { compatByProtocol: { [protocol]: payload } })
|
||||
}
|
||||
showDeveloperToggle={showDeveloperToggle}
|
||||
onNormalizeChange={onNormalizeChange}
|
||||
onPreserveChange={onPreserveChange}
|
||||
disabled={compatDisabled}
|
||||
/>
|
||||
</div>
|
||||
@@ -2057,10 +2253,9 @@ PassthroughModelRow.propTypes = {
|
||||
onDeleteAlias: PropTypes.func.isRequired,
|
||||
t: PropTypes.func,
|
||||
showDeveloperToggle: PropTypes.bool,
|
||||
normalizeToolCallId: PropTypes.bool,
|
||||
preserveDeveloperRole: PropTypes.bool,
|
||||
onNormalizeChange: PropTypes.func,
|
||||
onPreserveChange: PropTypes.func,
|
||||
effectiveModelNormalize: PropTypes.func.isRequired,
|
||||
effectiveModelPreserveDeveloper: PropTypes.func.isRequired,
|
||||
saveModelCompatFlags: PropTypes.func.isRequired,
|
||||
compatDisabled: PropTypes.bool,
|
||||
};
|
||||
|
||||
@@ -2075,7 +2270,10 @@ function CustomModelsSection({
|
||||
}: CustomModelsSectionProps) {
|
||||
const t = useTranslations("providers");
|
||||
const notify = useNotificationStore();
|
||||
const [customModels, setCustomModels] = useState([]);
|
||||
const [customModels, setCustomModels] = useState<CompatModelRow[]>([]);
|
||||
const [modelCompatOverrides, setModelCompatOverrides] = useState<
|
||||
Array<CompatModelRow & { id: string }>
|
||||
>([]);
|
||||
const [newModelId, setNewModelId] = useState("");
|
||||
const [newModelName, setNewModelName] = useState("");
|
||||
const [newApiFormat, setNewApiFormat] = useState("chat-completions");
|
||||
@@ -2085,16 +2283,18 @@ function CustomModelsSection({
|
||||
const [editingModelId, setEditingModelId] = useState<string | null>(null);
|
||||
const [editingApiFormat, setEditingApiFormat] = useState("chat-completions");
|
||||
const [editingEndpoints, setEditingEndpoints] = useState<string[]>(["chat"]);
|
||||
const [editingNormalizeToolCallId, setEditingNormalizeToolCallId] = useState(false);
|
||||
const [editingPreserveDeveloperRole, setEditingPreserveDeveloperRole] = useState(false);
|
||||
const [savingModelId, setSavingModelId] = useState<string | null>(null);
|
||||
|
||||
const customMap = useMemo(() => buildCompatMap(customModels), [customModels]);
|
||||
const overrideMap = useMemo(() => buildCompatMap(modelCompatOverrides), [modelCompatOverrides]);
|
||||
|
||||
const fetchCustomModels = useCallback(async () => {
|
||||
try {
|
||||
const res = await fetch(`/api/provider-models?provider=${encodeURIComponent(providerId)}`);
|
||||
if (res.ok) {
|
||||
const data = await res.json();
|
||||
setCustomModels(data.models || []);
|
||||
setModelCompatOverrides(data.modelCompatOverrides || []);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("Failed to fetch custom models:", e);
|
||||
@@ -2160,23 +2360,44 @@ function CustomModelsSection({
|
||||
? model.supportedEndpoints
|
||||
: ["chat"]
|
||||
);
|
||||
setEditingNormalizeToolCallId(Boolean(model.normalizeToolCallId));
|
||||
setEditingPreserveDeveloperRole(
|
||||
Object.prototype.hasOwnProperty.call(model, "preserveOpenAIDeveloperRole")
|
||||
? Boolean(model.preserveOpenAIDeveloperRole)
|
||||
: true
|
||||
);
|
||||
};
|
||||
|
||||
const cancelEdit = () => {
|
||||
setEditingModelId(null);
|
||||
setEditingApiFormat("chat-completions");
|
||||
setEditingEndpoints(["chat"]);
|
||||
setEditingNormalizeToolCallId(false);
|
||||
setEditingPreserveDeveloperRole(true);
|
||||
setSavingModelId(null);
|
||||
};
|
||||
|
||||
const saveCustomCompat = async (
|
||||
modelId: string,
|
||||
patch: { compatByProtocol?: CompatByProtocolMap }
|
||||
) => {
|
||||
setSavingModelId(modelId);
|
||||
try {
|
||||
const res = await fetch("/api/provider-models", {
|
||||
method: "PUT",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ provider: providerId, modelId, ...patch }),
|
||||
});
|
||||
if (!res.ok) {
|
||||
notify.error(t("failedSaveCustomModel"));
|
||||
return;
|
||||
}
|
||||
} catch {
|
||||
notify.error(t("failedSaveCustomModel"));
|
||||
return;
|
||||
} finally {
|
||||
setSavingModelId(null);
|
||||
}
|
||||
try {
|
||||
await fetchCustomModels();
|
||||
onModelsChanged?.();
|
||||
} catch {
|
||||
/* refresh failure is non-critical — data was already saved */
|
||||
}
|
||||
};
|
||||
|
||||
const saveEdit = async (modelId) => {
|
||||
if (!editingModelId || editingModelId !== modelId) return;
|
||||
if (!editingEndpoints.length) {
|
||||
@@ -2197,8 +2418,6 @@ function CustomModelsSection({
|
||||
source: model?.source || "manual",
|
||||
apiFormat: editingApiFormat,
|
||||
supportedEndpoints: editingEndpoints,
|
||||
normalizeToolCallId: editingNormalizeToolCallId,
|
||||
preserveOpenAIDeveloperRole: editingPreserveDeveloperRole,
|
||||
}),
|
||||
});
|
||||
|
||||
@@ -2361,7 +2580,7 @@ function CustomModelsSection({
|
||||
🔊 Audio
|
||||
</span>
|
||||
)}
|
||||
{model.normalizeToolCallId && (
|
||||
{anyNormalizeCompatBadge(model.id, customMap, overrideMap) && (
|
||||
<span
|
||||
className="text-[10px] px-1.5 py-0.5 rounded-full bg-slate-500/15 text-slate-400 font-medium"
|
||||
title={t("normalizeToolCallIdLabel")}
|
||||
@@ -2369,7 +2588,7 @@ function CustomModelsSection({
|
||||
ID×9
|
||||
</span>
|
||||
)}
|
||||
{model.preserveOpenAIDeveloperRole === false && (
|
||||
{anyNoPreserveCompatBadge(model.id, customMap, overrideMap) && (
|
||||
<span
|
||||
className="text-[10px] px-1.5 py-0.5 rounded-full bg-cyan-500/15 text-cyan-400 font-medium"
|
||||
title={t("compatDoNotPreserveDeveloper")}
|
||||
@@ -2433,11 +2652,18 @@ function CustomModelsSection({
|
||||
<div className="mt-3 pt-3 border-t border-border/80 w-full">
|
||||
<ModelCompatPopover
|
||||
t={t}
|
||||
normalizeToolCallId={editingNormalizeToolCallId}
|
||||
preserveDeveloperRole={editingPreserveDeveloperRole}
|
||||
effectiveModelNormalize={(p) =>
|
||||
effectiveNormalizeForProtocol(model.id, p, customMap, overrideMap)
|
||||
}
|
||||
effectiveModelPreserveDeveloper={(p) =>
|
||||
effectivePreserveForProtocol(model.id, p, customMap, overrideMap)
|
||||
}
|
||||
onCompatPatch={(protocol, payload) =>
|
||||
saveCustomCompat(model.id, {
|
||||
compatByProtocol: { [protocol]: payload },
|
||||
})
|
||||
}
|
||||
showDeveloperToggle
|
||||
onNormalizeChange={setEditingNormalizeToolCallId}
|
||||
onPreserveChange={setEditingPreserveDeveloperRole}
|
||||
disabled={savingModelId === model.id}
|
||||
/>
|
||||
</div>
|
||||
@@ -2716,12 +2942,9 @@ function CompatibleModelsSection({
|
||||
onDeleteAlias={() => handleDeleteModel(modelId, alias)}
|
||||
t={t}
|
||||
showDeveloperToggle={!isAnthropic}
|
||||
normalizeToolCallId={effectiveModelNormalize(modelId)}
|
||||
preserveDeveloperRole={effectiveModelPreserveDeveloper(modelId)}
|
||||
onNormalizeChange={(v) => saveModelCompatFlags(modelId, { normalizeToolCallId: v })}
|
||||
onPreserveChange={(v) =>
|
||||
saveModelCompatFlags(modelId, { preserveOpenAIDeveloperRole: v })
|
||||
}
|
||||
effectiveModelNormalize={effectiveModelNormalize}
|
||||
effectiveModelPreserveDeveloper={effectiveModelPreserveDeveloper}
|
||||
saveModelCompatFlags={saveModelCompatFlags}
|
||||
compatDisabled={compatSavingModelId === modelId}
|
||||
/>
|
||||
))}
|
||||
|
||||
@@ -6,6 +6,7 @@ import {
|
||||
updateCustomModel,
|
||||
getModelCompatOverrides,
|
||||
mergeModelCompatOverride,
|
||||
type ModelCompatPatch,
|
||||
} from "@/lib/localDb";
|
||||
import {
|
||||
AI_PROVIDERS,
|
||||
@@ -129,6 +130,7 @@ export async function PUT(request) {
|
||||
supportedEndpoints,
|
||||
normalizeToolCallId,
|
||||
preserveOpenAIDeveloperRole,
|
||||
compatByProtocol,
|
||||
} = validation.data;
|
||||
|
||||
const raw = rawBody as Record<string, unknown>;
|
||||
@@ -139,6 +141,9 @@ export async function PUT(request) {
|
||||
if ("normalizeToolCallId" in raw) updates.normalizeToolCallId = normalizeToolCallId;
|
||||
if ("preserveOpenAIDeveloperRole" in raw)
|
||||
updates.preserveOpenAIDeveloperRole = preserveOpenAIDeveloperRole;
|
||||
if ("compatByProtocol" in raw && compatByProtocol !== undefined) {
|
||||
updates.compatByProtocol = compatByProtocol;
|
||||
}
|
||||
|
||||
const model = await updateCustomModel(provider, modelId, updates);
|
||||
|
||||
@@ -147,9 +152,17 @@ export async function PUT(request) {
|
||||
const compatOnly =
|
||||
rawKeys.length > 0 &&
|
||||
rawKeys.every((k) =>
|
||||
["provider", "modelId", "normalizeToolCallId", "preserveOpenAIDeveloperRole"].includes(k)
|
||||
[
|
||||
"provider",
|
||||
"modelId",
|
||||
"normalizeToolCallId",
|
||||
"preserveOpenAIDeveloperRole",
|
||||
"compatByProtocol",
|
||||
].includes(k)
|
||||
) &&
|
||||
("normalizeToolCallId" in raw || "preserveOpenAIDeveloperRole" in raw);
|
||||
("normalizeToolCallId" in raw ||
|
||||
"preserveOpenAIDeveloperRole" in raw ||
|
||||
"compatByProtocol" in raw);
|
||||
if (compatOnly) {
|
||||
const knownProvider =
|
||||
!!provider &&
|
||||
@@ -165,10 +178,7 @@ export async function PUT(request) {
|
||||
{ status: 400 }
|
||||
);
|
||||
}
|
||||
const patch: {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean | null;
|
||||
} = {};
|
||||
const patch: ModelCompatPatch = {};
|
||||
if ("normalizeToolCallId" in raw && typeof normalizeToolCallId === "boolean") {
|
||||
patch.normalizeToolCallId = normalizeToolCallId;
|
||||
}
|
||||
@@ -178,6 +188,9 @@ export async function PUT(request) {
|
||||
? preserveOpenAIDeveloperRole
|
||||
: undefined;
|
||||
}
|
||||
if ("compatByProtocol" in raw && compatByProtocol && typeof compatByProtocol === "object") {
|
||||
patch.compatByProtocol = compatByProtocol;
|
||||
}
|
||||
if (Object.keys(patch).length > 0) {
|
||||
mergeModelCompatOverride(provider, modelId, patch);
|
||||
}
|
||||
|
||||
@@ -1437,6 +1437,11 @@
|
||||
"compatDeveloperShort": "Developer role",
|
||||
"compatDoNotPreserveDeveloper": "Do not preserve developer role",
|
||||
"compatBadgeNoPreserve": "No preserve",
|
||||
"compatProtocolLabel": "Client request protocol",
|
||||
"compatProtocolHint": "These options apply when OmniRoute detects this request shape (OpenAI Chat, Responses API, or Anthropic Messages).",
|
||||
"compatProtocolOpenAI": "OpenAI Chat Completions",
|
||||
"compatProtocolOpenAIResponses": "OpenAI Responses API",
|
||||
"compatProtocolClaude": "Anthropic Messages",
|
||||
"modelId": "Model ID",
|
||||
"customModelPlaceholder": "e.g. gpt-4.5-turbo",
|
||||
"loading": "Loading...",
|
||||
|
||||
@@ -1432,6 +1432,11 @@
|
||||
"compatDeveloperShort": "Developer 角色",
|
||||
"compatDoNotPreserveDeveloper": "不保留 developer 角色",
|
||||
"compatBadgeNoPreserve": "不保留",
|
||||
"compatProtocolLabel": "客户端请求协议",
|
||||
"compatProtocolHint": "以下选项在 OmniRoute 识别到该请求形态(OpenAI Chat、Responses API 或 Anthropic Messages)时生效。",
|
||||
"compatProtocolOpenAI": "OpenAI Chat Completions",
|
||||
"compatProtocolOpenAIResponses": "OpenAI Responses API",
|
||||
"compatProtocolClaude": "Anthropic Messages",
|
||||
"modelId": "模型 ID",
|
||||
"customModelPlaceholder": "例如:gpt-4.5-turbo",
|
||||
"loading": "正在加载...",
|
||||
|
||||
@@ -4,16 +4,60 @@
|
||||
|
||||
import { getDbInstance } from "./core";
|
||||
import { backupDbFile } from "./backup";
|
||||
import {
|
||||
MODEL_COMPAT_PROTOCOL_KEYS,
|
||||
type ModelCompatProtocolKey,
|
||||
} from "@/shared/constants/modelCompat";
|
||||
|
||||
type JsonRecord = Record<string, unknown>;
|
||||
|
||||
/** Built-in / alias models: tool-call + developer-role flags without a full custom row */
|
||||
const MODEL_COMPAT_NAMESPACE = "modelCompatOverrides";
|
||||
|
||||
export { MODEL_COMPAT_PROTOCOL_KEYS, type ModelCompatProtocolKey };
|
||||
|
||||
export type ModelCompatPerProtocol = {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
};
|
||||
|
||||
type CompatByProtocolMap = Partial<Record<ModelCompatProtocolKey, ModelCompatPerProtocol>>;
|
||||
|
||||
function isCompatProtocolKey(p: string): p is ModelCompatProtocolKey {
|
||||
return (MODEL_COMPAT_PROTOCOL_KEYS as readonly string[]).includes(p);
|
||||
}
|
||||
|
||||
function deepMergeCompatByProtocol(
|
||||
prev: CompatByProtocolMap | undefined,
|
||||
patch: Partial<Record<ModelCompatProtocolKey, Partial<ModelCompatPerProtocol>>>
|
||||
): CompatByProtocolMap {
|
||||
const out: CompatByProtocolMap = { ...(prev || {}) };
|
||||
for (const key of Object.keys(patch) as ModelCompatProtocolKey[]) {
|
||||
if (!isCompatProtocolKey(key)) continue;
|
||||
const deltas = patch[key];
|
||||
if (!deltas || typeof deltas !== "object") continue;
|
||||
const hasDelta =
|
||||
Object.prototype.hasOwnProperty.call(deltas, "normalizeToolCallId") ||
|
||||
Object.prototype.hasOwnProperty.call(deltas, "preserveOpenAIDeveloperRole");
|
||||
if (!hasDelta) continue;
|
||||
const cur: ModelCompatPerProtocol = { ...(out[key] || {}) };
|
||||
if ("normalizeToolCallId" in deltas) {
|
||||
cur.normalizeToolCallId = Boolean(deltas.normalizeToolCallId);
|
||||
}
|
||||
if ("preserveOpenAIDeveloperRole" in deltas) {
|
||||
cur.preserveOpenAIDeveloperRole = Boolean(deltas.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
if (Object.keys(cur).length === 0) delete out[key];
|
||||
else out[key] = cur;
|
||||
}
|
||||
return out;
|
||||
}
|
||||
|
||||
export type ModelCompatOverride = {
|
||||
id: string;
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
};
|
||||
|
||||
function readCompatList(providerId: string): ModelCompatOverride[] {
|
||||
@@ -52,13 +96,24 @@ export function getModelCompatOverrides(providerId: string): ModelCompatOverride
|
||||
return readCompatList(providerId);
|
||||
}
|
||||
|
||||
export type ModelCompatPatch = {
|
||||
normalizeToolCallId?: boolean;
|
||||
preserveOpenAIDeveloperRole?: boolean | null;
|
||||
compatByProtocol?: CompatByProtocolMap;
|
||||
};
|
||||
|
||||
function compatByProtocolHasEntries(map: CompatByProtocolMap | undefined): boolean {
|
||||
if (!map || typeof map !== "object") return false;
|
||||
return Object.keys(map).some((k) => {
|
||||
const v = map[k as ModelCompatProtocolKey];
|
||||
return v && typeof v === "object" && Object.keys(v).length > 0;
|
||||
});
|
||||
}
|
||||
|
||||
export function mergeModelCompatOverride(
|
||||
providerId: string,
|
||||
modelId: string,
|
||||
patch: Partial<{
|
||||
normalizeToolCallId: boolean;
|
||||
preserveOpenAIDeveloperRole: boolean | null;
|
||||
}>
|
||||
patch: ModelCompatPatch
|
||||
) {
|
||||
const list = readCompatList(providerId);
|
||||
const idx = list.findIndex((e) => e.id === modelId);
|
||||
@@ -75,9 +130,18 @@ export function mergeModelCompatOverride(
|
||||
next.preserveOpenAIDeveloperRole = Boolean(patch.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
}
|
||||
if (patch.compatByProtocol && Object.keys(patch.compatByProtocol).length > 0) {
|
||||
const merged = deepMergeCompatByProtocol(next.compatByProtocol, patch.compatByProtocol);
|
||||
if (compatByProtocolHasEntries(merged)) next.compatByProtocol = merged;
|
||||
else delete next.compatByProtocol;
|
||||
}
|
||||
const filtered = list.filter((e) => e.id !== modelId);
|
||||
const hasPreserveFlag = Object.prototype.hasOwnProperty.call(next, "preserveOpenAIDeveloperRole");
|
||||
if (next.normalizeToolCallId || hasPreserveFlag) {
|
||||
if (
|
||||
next.normalizeToolCallId ||
|
||||
hasPreserveFlag ||
|
||||
compatByProtocolHasEntries(next.compatByProtocol)
|
||||
) {
|
||||
filtered.push(next);
|
||||
}
|
||||
writeCompatList(providerId, filtered);
|
||||
@@ -281,6 +345,23 @@ export async function updateCustomModel(
|
||||
if (index === -1) return null;
|
||||
|
||||
const current = models[index];
|
||||
const currentCompat = (current as JsonRecord).compatByProtocol as CompatByProtocolMap | undefined;
|
||||
let mergedCompat: CompatByProtocolMap | undefined = currentCompat;
|
||||
if (
|
||||
updates.compatByProtocol !== undefined &&
|
||||
typeof updates.compatByProtocol === "object" &&
|
||||
updates.compatByProtocol !== null &&
|
||||
!Array.isArray(updates.compatByProtocol)
|
||||
) {
|
||||
mergedCompat = deepMergeCompatByProtocol(
|
||||
currentCompat,
|
||||
updates.compatByProtocol as Partial<
|
||||
Record<ModelCompatProtocolKey, Partial<ModelCompatPerProtocol>>
|
||||
>
|
||||
);
|
||||
if (!compatByProtocolHasEntries(mergedCompat)) mergedCompat = undefined;
|
||||
}
|
||||
|
||||
const next: JsonRecord = {
|
||||
...current,
|
||||
...(updates.modelName !== undefined ? { name: updates.modelName || current.name } : {}),
|
||||
@@ -299,6 +380,13 @@ export async function updateCustomModel(
|
||||
next.preserveOpenAIDeveloperRole = Boolean(updates.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
}
|
||||
if (updates.compatByProtocol !== undefined) {
|
||||
if (mergedCompat && compatByProtocolHasEntries(mergedCompat)) {
|
||||
next.compatByProtocol = mergedCompat;
|
||||
} else {
|
||||
delete next.compatByProtocol;
|
||||
}
|
||||
}
|
||||
|
||||
models[index] = next;
|
||||
|
||||
@@ -335,11 +423,33 @@ function getCustomModelRow(providerId: string, modelId: string): JsonRecord | nu
|
||||
/**
|
||||
* Whether the given provider/model has "normalize tool call id" (9-char Mistral-style) enabled.
|
||||
* Custom model row wins; otherwise {@link getModelCompatOverrides}.
|
||||
* When `sourceFormat` is one of `openai` | `openai-responses` | `claude`, per-protocol
|
||||
* `compatByProtocol[sourceFormat].normalizeToolCallId` overrides the legacy top-level flag.
|
||||
*/
|
||||
export function getModelNormalizeToolCallId(providerId: string, modelId: string): boolean {
|
||||
export function getModelNormalizeToolCallId(
|
||||
providerId: string,
|
||||
modelId: string,
|
||||
sourceFormat?: string | null
|
||||
): boolean {
|
||||
const m = getCustomModelRow(providerId, modelId);
|
||||
if (m) return Boolean(m.normalizeToolCallId);
|
||||
const protocol = sourceFormat && isCompatProtocolKey(sourceFormat) ? sourceFormat : null;
|
||||
|
||||
if (m) {
|
||||
if (protocol) {
|
||||
const pc = (m.compatByProtocol as CompatByProtocolMap | undefined)?.[protocol];
|
||||
if (pc && Object.prototype.hasOwnProperty.call(pc, "normalizeToolCallId")) {
|
||||
return Boolean(pc.normalizeToolCallId);
|
||||
}
|
||||
}
|
||||
return Boolean(m.normalizeToolCallId);
|
||||
}
|
||||
const co = readCompatList(providerId).find((e) => e.id === modelId);
|
||||
if (protocol && co?.compatByProtocol?.[protocol]) {
|
||||
const pc = co.compatByProtocol[protocol]!;
|
||||
if (Object.prototype.hasOwnProperty.call(pc, "normalizeToolCallId")) {
|
||||
return Boolean(pc.normalizeToolCallId);
|
||||
}
|
||||
}
|
||||
return Boolean(co?.normalizeToolCallId);
|
||||
}
|
||||
|
||||
@@ -347,19 +457,35 @@ export function getModelNormalizeToolCallId(providerId: string, modelId: string)
|
||||
* Explicit preserve-openai-developer preference for this provider/model.
|
||||
* `undefined` = unset → routing keeps legacy default (preserve developer for OpenAI format).
|
||||
* `false` = map developer → system (e.g. MiniMax). `true` = keep developer.
|
||||
* Per-protocol overrides live under `compatByProtocol[sourceFormat]` when `sourceFormat` matches.
|
||||
*/
|
||||
export function getModelPreserveOpenAIDeveloperRole(
|
||||
providerId: string,
|
||||
modelId: string
|
||||
modelId: string,
|
||||
sourceFormat?: string | null
|
||||
): boolean | undefined {
|
||||
const m = getCustomModelRow(providerId, modelId);
|
||||
const protocol = sourceFormat && isCompatProtocolKey(sourceFormat) ? sourceFormat : null;
|
||||
|
||||
if (m) {
|
||||
if (protocol) {
|
||||
const pc = (m.compatByProtocol as CompatByProtocolMap | undefined)?.[protocol];
|
||||
if (pc && Object.prototype.hasOwnProperty.call(pc, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(pc.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
}
|
||||
if (Object.prototype.hasOwnProperty.call(m, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(m.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
return undefined;
|
||||
}
|
||||
const co = readCompatList(providerId).find((e) => e.id === modelId);
|
||||
if (protocol && co?.compatByProtocol?.[protocol]) {
|
||||
const pc = co.compatByProtocol[protocol]!;
|
||||
if (Object.prototype.hasOwnProperty.call(pc, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(pc.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
}
|
||||
if (co && Object.prototype.hasOwnProperty.call(co, "preserveOpenAIDeveloperRole")) {
|
||||
return Boolean(co.preserveOpenAIDeveloperRole);
|
||||
}
|
||||
|
||||
@@ -48,6 +48,8 @@ export {
|
||||
getModelPreserveOpenAIDeveloperRole,
|
||||
} from "./db/models";
|
||||
|
||||
export type { ModelCompatPerProtocol, ModelCompatPatch } from "./db/models";
|
||||
|
||||
export {
|
||||
// Combos
|
||||
getCombos,
|
||||
|
||||
9
src/shared/constants/modelCompat.ts
Normal file
9
src/shared/constants/modelCompat.ts
Normal file
@@ -0,0 +1,9 @@
|
||||
/**
|
||||
* Model compatibility protocol keys — shared between client UI and server.
|
||||
* Must not import Node or DB code so client components can import safely.
|
||||
*/
|
||||
|
||||
/** Client request shapes from detectFormat — compat options apply when the client uses this protocol */
|
||||
export const MODEL_COMPAT_PROTOCOL_KEYS = ["openai", "openai-responses", "claude"] as const;
|
||||
|
||||
export type ModelCompatProtocolKey = (typeof MODEL_COMPAT_PROTOCOL_KEYS)[number];
|
||||
@@ -340,6 +340,13 @@ export const clearModelAvailabilitySchema = z.object({
|
||||
model: modelIdSchema,
|
||||
});
|
||||
|
||||
const modelCompatPerProtocolSchema = z
|
||||
.object({
|
||||
normalizeToolCallId: z.boolean().optional(),
|
||||
preserveOpenAIDeveloperRole: z.boolean().optional(),
|
||||
})
|
||||
.strict();
|
||||
|
||||
export const providerModelMutationSchema = z.object({
|
||||
provider: z.string().trim().min(1, "provider is required").max(120),
|
||||
modelId: z.string().trim().min(1, "modelId is required").max(240),
|
||||
@@ -349,6 +356,9 @@ export const providerModelMutationSchema = z.object({
|
||||
supportedEndpoints: z.array(z.enum(["chat", "embeddings", "images", "audio"])).default(["chat"]),
|
||||
normalizeToolCallId: z.boolean().optional(),
|
||||
preserveOpenAIDeveloperRole: z.boolean().nullable().optional(),
|
||||
compatByProtocol: z
|
||||
.record(z.enum(["openai", "openai-responses", "claude"]), modelCompatPerProtocolSchema)
|
||||
.optional(),
|
||||
});
|
||||
|
||||
const pricingFieldsSchema = z
|
||||
|
||||
Reference in New Issue
Block a user