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💄 style: Add GPT-5 pro model (lobehub#9594)
* ✨ feat: 添加输入缓存读取和写入定价支持，更新相关接口和定价格式 * ✨ feat: 添加 GPT-5 pro 模型及其定价信息，更新模型集合 * ✨ feat: 添加 GPT Image 1 Mini 模型及其定价信息，更新模型参数和定价策略 * ✨ feat: 更新价格格式化函数，允许价格为 undefined，调整模型定价接口的可选属性 * ✨ feat: 更新 DeepSeek V3.1 模型信息，添加新模型及其参数，调整模型 ID * ✨ feat: 添加 GPT-5 pro 模型，更新其能力、定价和描述信息 * ✨ feat: 强制 gpt-5 pro 使用 high 推理等级，优化推理负担处理逻辑
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9 files changed

+188
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‎packages/model-bank/src/aiModels/aihubmix.ts‎

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@@ -1,6 +1,31 @@
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import { AIChatModelCard } from '../types/aiModel';
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const aihubmixModels: AIChatModelCard[] = [
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{
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abilities: {
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functionCall: true,
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reasoning: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 400_000,
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description: 'GPT-5 pro 使用更多计算来更深入地思考，并持续提供更好的答案。',
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displayName: 'GPT-5 pro',
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id: 'gpt-5-pro',
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maxOutput: 272_000,
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pricing: {
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units: [
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{ name: 'textInput', rate: 15, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'textOutput', rate: 120, strategy: 'fixed', unit: 'millionTokens' },
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],
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},
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releasedAt: '2025-10-06',
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settings: {
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extendParams: ['textVerbosity'],
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,

‎packages/model-bank/src/aiModels/nvidia.ts‎

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@@ -9,8 +9,24 @@ const nvidiaChatModels: AIChatModelCard[] = [
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contextWindowTokens: 131_072,
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description:
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'DeepSeek V3.1：下一代推理模型，提升了复杂推理与链路思考能力，适合需要深入分析的任务。',
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displayName: 'DeepSeek V3.1',
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displayName: 'DeepSeek V3.1 Terminus',
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enabled: true,
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id: 'deepseek-ai/deepseek-v3.1-terminus',
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maxOutput: 16_384,
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settings: {
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extendParams: ['enableReasoning'],
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
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reasoning: true,
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},
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contextWindowTokens: 131_072,
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description:
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'DeepSeek V3.1：下一代推理模型，提升了复杂推理与链路思考能力，适合需要深入分析的任务。',
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displayName: 'DeepSeek V3.1',
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id: 'deepseek-ai/deepseek-v3.1',
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maxOutput: 16_384,
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settings: {

‎packages/model-bank/src/aiModels/openai.ts‎

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@@ -18,6 +18,31 @@ export const gptImage1ParamsSchema: ModelParamsSchema = {
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};
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export const openaiChatModels: AIChatModelCard[] = [
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{
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abilities: {
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functionCall: true,
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reasoning: true,
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search: true,
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vision: true,
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},
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contextWindowTokens: 400_000,
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description: 'GPT-5 pro 使用更多计算来更深入地思考，并持续提供更好的答案。',
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displayName: 'GPT-5 pro',
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id: 'gpt-5-pro',
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maxOutput: 272_000,
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pricing: {
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units: [
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{ name: 'textInput', rate: 15, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'textOutput', rate: 120, strategy: 'fixed', unit: 'millionTokens' },
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],
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},
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releasedAt: '2025-10-06',
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settings: {
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extendParams: ['textVerbosity'],
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searchImpl: 'params',
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},
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type: 'chat',
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},
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{
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abilities: {
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functionCall: true,
@@ -614,7 +639,7 @@ export const openaiChatModels: AIChatModelCard[] = [
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contextWindowTokens: 128_000,
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description: 'GPT-4o Audio Preview 模型，支持音频输入输出',
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displayName: 'GPT-4o Audio Preview',
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id: 'gpt-4o-audio-preview', // deprecated on 2025-10-10
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id: 'gpt-4o-audio-preview',
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maxOutput: 16_384,
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pricing: {
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units: [
@@ -1046,9 +1071,63 @@ export const openaiImageModels: AIImageModelCard[] = [
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{ name: 'imageInput', rate: 10, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'imageInput_cacheRead', rate: 2.5, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'imageOutput', rate: 40, strategy: 'fixed', unit: 'millionTokens' },
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{
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lookup: {
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prices: {
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'low_1024x1024': 0.011,
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'low_1024x1536': 0.016,
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'low_1536x1024': 0.016,
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'medium_1024x1024': 0.042,
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'medium_1024x1536': 0.063,
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'medium_1536x1024': 0.063,
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'high_1024x1024': 0.167,
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'high_1024x1536': 0.25,
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'high_1536x1024': 0.25,
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},
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pricingParams: ['quality', 'size'],
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},
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name: 'imageGeneration',
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strategy: 'lookup',
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unit: 'image',
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},
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],
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},
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resolutions: ['1024x1024', '1024x1536', '1536x1024'],
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type: 'image',
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},
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{
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description: '成本更低的 GPT Image 1 版本，原生支持文本与图像输入并生成图像输出。',
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displayName: 'GPT Image 1 Mini',
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enabled: true,
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id: 'gpt-image-1-mini',
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parameters: gptImage1ParamsSchema,
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pricing: {
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units: [
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{ name: 'textInput', rate: 2, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'textInput_cacheRead', rate: 0.2, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'imageInput', rate: 2.5, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'imageInput_cacheRead', rate: 0.25, strategy: 'fixed', unit: 'millionTokens' },
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{ name: 'imageOutput', rate: 8, strategy: 'fixed', unit: 'millionTokens' },
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{
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lookup: {
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prices: {
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'low_1024x1024': 0.005,
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'low_1024x1536': 0.006,
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'low_1536x1024': 0.006,
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'medium_1024x1024': 0.011,
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'medium_1024x1536': 0.015,
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'medium_1536x1024': 0.015,
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},
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pricingParams: ['quality', 'size'],
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},
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name: 'imageGeneration',
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strategy: 'lookup',
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unit: 'image',
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},
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],
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},
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resolutions: ['1024x1024', '1024x1536', '1536x1024'],
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releasedAt: '2025-10-06',
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type: 'image',
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},
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{

‎packages/model-runtime/src/const/models.ts‎

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@@ -36,6 +36,8 @@ export const responsesAPIModels = new Set([
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'computer-use-preview',
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'computer-use-preview-2025-03-11',
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'gpt-5-codex',
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'gpt-5-pro',
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'gpt-5-pro-2025-10-06',
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]);
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/**

‎packages/model-runtime/src/providers/openai/index.ts‎

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@@ -81,23 +81,27 @@ export const LobeOpenAI = createOpenAICompatibleRuntime({
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const openaiTools = enabledSearch
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? [
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...(tools || []),
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{
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type: 'web_search',
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...(oaiSearchContextSize && {
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search_context_size: oaiSearchContextSize,
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}),
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},
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]
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...(tools || []),
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{
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type: 'web_search',
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...(oaiSearchContextSize && {
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search_context_size: oaiSearchContextSize,
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}),
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},
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]
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: tools;
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if (prunePrefixes.some((prefix) => model.startsWith(prefix))) {
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const reasoning = payload.reasoning
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? { ...payload.reasoning, summary: 'auto' }
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: { summary: 'auto' };
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if (model.startsWith('gpt-5-pro')) {
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reasoning.effort = 'high';
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}
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return pruneReasoningPayload({
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...rest,
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model,
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reasoning: payload.reasoning
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? { ...payload.reasoning, summary: 'auto' }
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: { summary: 'auto' },
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reasoning,
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...(enableServiceTierFlex && supportsFlexTier(model) && { service_tier: 'flex' }),
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stream: payload.stream ?? true,
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tools: openaiTools as any,

‎packages/model-runtime/src/providers/openrouter/index.ts‎

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@@ -4,8 +4,8 @@ import { createOpenAICompatibleRuntime } from '../../core/openaiCompatibleFactor
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import { processMultiProviderModelList } from '../../utils/modelParse';
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import { OpenRouterModelCard, OpenRouterReasoning } from './type';
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7-
const formatPrice = (price: string) => {
8-
if (price === '-1') return undefined;
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const formatPrice = (price?: string) => {
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if (price === undefined || price === '-1') return undefined;
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return Number((Number(price) * 1e6).toPrecision(5));
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};
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const inputPrice = formatPrice(endpoint?.pricing?.prompt);
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const outputPrice = formatPrice(endpoint?.pricing?.completion);
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const cachedInputPrice = formatPrice(endpoint?.pricing?.input_cache_read);
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const writeCacheInputPrice = formatPrice(endpoint?.pricing?.input_cache_write);
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const isFree = (inputPrice === 0 || outputPrice === 0) && !displayName.endsWith('(free)');
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if (isFree) {
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displayName += ' (free)';
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: undefined,
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pricing: {
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input: inputPrice,
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cachedInput: cachedInputPrice,
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writeCacheInput: writeCacheInputPrice,
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output: outputPrice,
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},
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reasoning: endpoint?.supports_reasoning || false,

‎packages/model-runtime/src/providers/openrouter/type.ts‎

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interface ModelPricing {
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completion: string;
3-
image: string;
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image?: string;
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input_cache_read?: string;
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input_cache_write?: string;
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prompt: string;
5-
request: string;
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request?: string;
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}
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export interface OpenRouterModelCard {

‎packages/model-runtime/src/providers/vercelaigateway/index.ts‎

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@@ -13,6 +13,8 @@ export interface VercelAIGatewayModelCard {
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pricing?: {
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input?: string | number;
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output?: string | number;
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input_cache_read?: string | number;
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input_cache_write?: string | number;
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};
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tags?: string[];
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type?: string;
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const inputPrice = formatPrice(m.pricing?.input);
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const outputPrice = formatPrice(m.pricing?.output);
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const cachedInputPrice = formatPrice(m.pricing?.input_cache_read);
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const writeCacheInputPrice = formatPrice(m.pricing?.input_cache_write);
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let displayName = m.name ?? m.id;
7277
if (inputPrice === 0 && outputPrice === 0) {
7378
displayName += ' (free)';
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id: m.id,
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maxOutput: typeof m.max_tokens === 'number' ? m.max_tokens : undefined,
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pricing: {
90+
cachedInput: cachedInputPrice,
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input: inputPrice,
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output: outputPrice,
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writeCacheInput: writeCacheInputPrice,
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},
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reasoning: tags.includes('reasoning') || false,
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type: m.type === 'embedding' ? 'embedding' : 'chat',

‎packages/model-runtime/src/utils/modelParse.ts‎

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326326
return undefined;
327327
}
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329-
const formatPricing = (pricing?: { input?: number; output?: number; units?: any[] }) => {
329+
const formatPricing = (pricing?: {
330+
cachedInput?: number;
331+
input?: number;
332+
output?: number;
333+
units?: any[];
334+
writeCacheInput?: number;
335+
}) => {
330336
if (!pricing || typeof pricing !== 'object') return undefined;
331337
if (Array.isArray(pricing.units)) {
332338
return { units: pricing.units };
333339
}
334-
const { input, output } = pricing;
335-
if (typeof input !== 'number' && typeof output !== 'number') return undefined;
340+
const { input, output, cachedInput, writeCacheInput } = pricing;
341+
if (
342+
typeof input !== 'number' &&
343+
typeof output !== 'number' &&
344+
typeof cachedInput !== 'number' &&
345+
typeof writeCacheInput !== 'number'
346+
)
347+
return undefined;
336348

337349
const units = [];
338350
if (typeof input === 'number') {
@@ -351,6 +363,22 @@ const processModelCard = (
351363
unit: 'millionTokens' as const,
352364
});
353365
}
366+
if (typeof cachedInput === 'number') {
367+
units.push({
368+
name: 'textInput_cacheRead' as const,
369+
rate: cachedInput,
370+
strategy: 'fixed' as const,
371+
unit: 'millionTokens' as const,
372+
});
373+
}
374+
if (typeof writeCacheInput === 'number') {
375+
units.push({
376+
name: 'textInput_cacheWrite' as const,
377+
rate: writeCacheInput,
378+
strategy: 'fixed' as const,
379+
unit: 'millionTokens' as const,
380+
});
381+
}
354382
return { units };
355383
};
356384

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