mirror of
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Jason
50a9d103d3
Move first-party, sponsor and relay presets to current model IDs so a pasted Key works without editing the model list. - Claude: opus/sonnet 5 -> 5.5, haiku 4.5 -> 5.5, fable 5 -> 5.1 - GPT: gpt-5.6-sol / gpt-6-sol -> gpt-6.1-sol; add gpt-6-astra/luna - Gemini 3.6 Flash -> 3.8 Flash, 3.1 Pro preview -> 4 Argon; Grok 4.5 -> 4.7; GLM 5.1/5.2 -> 5.3 (+5.3 Flash); DeepSeek V4 Flash -> V4.1 Flash; Doubao 2.1 Pro 260628 -> 260915; StepFun Step Plan -> step-5-preview; add Kimi K3.1 Pro, Qwen3.8 Max, MiniMax M3.1 Flash where the site serves them - Drop retired models: NVIDIA moonshotai/kimi-k3 (EOL 2026-10-15, now kimi-k2.6 without unverified Codex reasoning levels), MiMo V2.5 / V2.5 Pro, Claude Sonnet 4.5, MiniMax M2.7 on Tencent Token Plan Enterprise Pro - Relay presets follow each site's own ID spelling and catalog; DIT.ai, BuyToken and hao.ai are left as configured from their docs; Soshow, SiliconFlow CN, OpenCode Zen and the Ark rolling alias stay - MoArk Codex keeps the tested Kimi-K2.7-Code; K3.1 Pro and Qwen3.8 Max stay out of its Codex catalog until their levels are verified Tests updated to the new IDs; cross-app invariants unchanged.
402 lines
20 KiB
TypeScript
402 lines
20 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { codexProviderPresets } from "@/config/codexProviderPresets";
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// 预填口径（2026-08-15 官方文档盘点 + Jason 同日拍板"表单可见性优先"）：
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// - native Responses 直连预设：填厂商官方声明的真实差异化档位子集（含照抄
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// DeepSeek 官方 catalog 镜像、MiniMax/MiMo 与模板默认相同的显式声明——
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// 表单显示"未设置"的误导比快照过时/冗余声明的代价更大）；
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// - Chat 路由预设（supportsEffort:false）：档位值不进 wire，仅当预设声明了
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// 真实思考开关（supportsThinking + thinkingParam）时填两态 none/high；
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// 未确认开关且模型会思考时，仅列 high 表示单一思考模式；
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// - 后端对两条路径的 catalog 都应用 per-row 覆盖（apply_codex_reasoning_
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// level_override "Applies to every profile"）。
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// 后端 codex_canonical_efforts 对未知值静默丢弃——预设里的拼写错误不会报错，
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// 只会让 Codex 选择器静默少档/错档，所以白名单校验必须在测试层兜住。
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const CANONICAL_EFFORTS = [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max",
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"ultra",
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];
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function catalogModel(presetName: string, modelId: string) {
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const preset = codexProviderPresets.find((item) => item.name === presetName);
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expect(preset, `preset ${presetName}`).toBeDefined();
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const model = (preset?.modelCatalog ?? []).find(
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(item) => item.model === modelId,
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);
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expect(model, `${presetName} catalog model ${modelId}`).toBeDefined();
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return model!;
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}
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describe("Codex preset pre-filled reasoning levels", () => {
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// 每条期望值都对应官方文档证据（见预设文件内注释）；改动任一侧前先核对来源。
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// 第四位=期望的显式 defaultReasoningLevel：用于官方 catalog 的默认值，
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// 或让 Chat catalog 与预设 config.toml 的显式 high 一致（否则可能回落 max）。
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const EXPECTED: Array<[string, string, string[], string?]> = [
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// 火山官方 Codex 接入文档四份一致：low/medium/high
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["火山 Agent Plan", "ark-code-latest", ["low", "medium", "high"]],
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["火山 Coding Plan", "ark-code-latest", ["low", "medium", "high"]],
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// 方舟深度思考文档：本模型无限制的通用四档（minimal=关思考直接回答）
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[
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"Volcengine Doubao",
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"doubao-seed-2-1-pro-260915",
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["minimal", "low", "medium", "high"],
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],
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// 混元官方枚举 low/high；hy3 开源 chat template 对其他值直接 raise
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["Tencent Hunyuan", "hy3", ["low", "high"]],
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["Tencent Hunyuan", "hy3-preview", ["low", "high"]],
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["Tencent Hunyuan", "hy4-preview", ["none", "high"], "high"],
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// 腾讯 Token Plan（订阅线 /plan 端点）档位全部真 Key 实测（2026-08-31）：
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// glm-5.3 始终思考且档位严格枚举 low/high/max（medium/xhigh 直接 400，
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// 错误信息即枚举来源）；kimi-k2.7-code(-highspeed) 仅接受
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// thinking:enabled；minimax-m2.7 与国内 auto 关思考被静默忽略
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//（选 none 是假关）→ 只列 high；其余模型 thinking 开关真实生效 → 两态
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["Tencent Token Plan", "tc-code-latest", ["none", "high"]],
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["Tencent Token Plan", "hy3", ["none", "high"]],
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["Tencent Token Plan", "minimax-m2.7", ["high"]],
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[
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"Tencent Token Plan Enterprise Pro",
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"glm-5.3",
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["low", "high", "max"],
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"high",
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],
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["Tencent Token Plan Enterprise Pro", "kimi-k2.7-code", ["high"]],
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["Tencent Token Plan Enterprise Pro", "auto", ["high"]],
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["Tencent Token Plan Enterprise Pro", "glm-5.2", ["none", "high"]],
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// 国际站 auto 尊重关思考（与国内 auto 忽略关思考行为不同）
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["Tencent Token Plan (Intl)", "auto", ["none", "high"]],
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["Tencent Token Plan Enterprise Pro (Intl)", "auto", ["none", "high"]],
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[
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"Tencent Token Plan Enterprise Pro (Intl)",
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"glm-5.3",
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["low", "high", "max"],
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"high",
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],
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["Tencent Token Plan Enterprise Lite", "auto", ["high"]],
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["Tencent Token Plan Enterprise Lite (Intl)", "auto", ["none", "high"]],
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// LongCat 无档位可调：全站唯一 effort 证据=官方示例的 high
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["Longcat", "LongCat-2.0", ["high"]],
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// xAI Reasoning guide 模型级枚举；grok-4.5 不可关思考故无 none
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["xAI (Grok)", "grok-4.5", ["low", "medium", "high", "xhigh"]],
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["xAI (Grok) OAuth", "grok-4.5", ["low", "medium", "high", "xhigh"]],
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// DeepSeek 直连照抄官方 catalog 镜像（Jason 2026-08-15 拍板：表单可见性
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// 优先，接受快照过时风险——官方目录变更时须同步）
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["DeepSeek", "deepseek-flash", ["low", "high", "max"]],
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["DeepSeek", "deepseek-v4-pro", ["low", "high", "max"]],
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// MiniMax-M3 官方 catalog=none/high；M3.1 Flash 思考不可关，实测 low–max 可用、none 报 2013；MiMo 2026-09-23 官方目录为四档、默认 low。
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["MiniMax", "MiniMax-M3", ["none", "high"]],
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[
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"MiniMax",
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"MiniMax-M3.1-Flash",
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["low", "medium", "high", "xhigh", "max"],
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],
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["MiniMax en", "MiniMax-M3", ["none", "high"]],
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[
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"MiniMax en",
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"MiniMax-M3.1-Flash",
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["low", "medium", "high", "xhigh", "max"],
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],
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["Xiaomi MiMo", "mimo-v2.6-pro", ["none", "low", "medium", "high"], "low"],
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[
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"Xiaomi MiMo",
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"mimo-v2.6-flash",
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["none", "low", "medium", "high"],
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"low",
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],
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[
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"Xiaomi MiMo Token Plan (China)",
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"mimo-v2.6-pro",
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["none", "low", "medium", "high"],
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"low",
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],
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[
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"Xiaomi MiMo Token Plan (China)",
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"mimo-v2.6-flash",
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["none", "low", "medium", "high"],
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"low",
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],
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// 智谱官方 Codex 接入页自带 models.json（docs.bigmodel.cn/cn/coding-plan/tool/
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// codex、docs.z.ai/devpack/tool/codex，2026-09-04 核对）：glm-5.3 档位
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// low/high/max、默认 max（≠ 后端回落的模板默认 high，故显式声明）；
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// glm-5-turbo 官方档位为空、默认 max——cc-switch 表达不了空档位（会回落
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// 到模板 none/high，而 none 在原生直连下没有转换层兜底、会原样发给严格
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// 网关），按官方默认收成单档 max
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["Zhipu GLM", "glm-5.3", ["low", "high", "max"], "max"],
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["Zhipu GLM", "glm-5-turbo", ["max"]],
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["Zhipu GLM en", "glm-5.3", ["low", "high", "max"], "max"],
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// SiliconFlow .com 的 M3：平台级 enable_thinking 布尔开关（后端按平台
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// 推断兜底），M3 官方可关思考 → 两态
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["SiliconFlow en", "MiniMaxAI/MiniMax-M3", ["none", "high"]],
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// SiliconFlow .cn：平台仅 high/max，显式 high 与预设配置一致。
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["SiliconFlow", "deepseek-ai/DeepSeek-V4-Flash", ["high", "max"], "high"],
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// 聚合平台尚未确认新 GLM 的开关/effort；单档不下发推理控制参数。
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["AtlasCloud", "zai-org/glm-5.3", ["high"]],
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["Novita AI", "zai-org/glm-5.3", ["high"]],
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// Groq gpt-oss（Chat 路由）：平台声明的 reasoning_effort 枚举
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// low/medium/high（console.groq.com/docs/reasoning，2026-10-14），含 high，
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// 无需显式默认
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["Groq", "openai/gpt-oss-120b", ["low", "medium", "high"]],
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["Groq", "openai/gpt-oss-20b", ["low", "medium", "high"]],
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// SambaNova（native Responses）：OpenAPI 声明 reasoning_effort 枚举
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// low/medium/high（无 none）；MiniMax-M3 的 effort 只是思考开关，只列 high
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["SambaNova", "MiniMax-M3", ["high"]],
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["SambaNova", "gpt-oss-120b", ["low", "medium", "high"]],
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// DigitalOcean（native Responses）：GPT-6.1 Sol 平台写 low 到 max，按 OpenAI
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// 官方列五档；GLM-5.3 平台声明 low/high/max；DeepSeek V4 Pro 0813 平台未
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// 声明，退回 DeepSeek 官方档位
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[
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"DigitalOcean",
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"openai-gpt-6-1-sol",
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["low", "medium", "high", "xhigh", "max"],
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],
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["DigitalOcean", "glm-5.3", ["low", "high", "max"]],
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["DigitalOcean", "deepseek-v4-pro-0813", ["low", "high", "max"]],
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// 千帆 v2 官方 thinking:{type}（声明已补）→ 两态
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["Baidu Qianfan Coding Plan", "qianfan-code-latest", ["none", "high"]],
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// 千帆 Token Plan：deepseek-v4-pro/v4-flash 在 thinking+reasoning_effort
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// 双官方清单内（effort 仅 high/max 两档真实深度）；不声明 default=回落
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// max，恰好等于平台对复杂 Agent 类请求的自动行为。glm-5.1 只在 thinking
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// 清单 → 两态
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["Baidu Qianfan Token Plan", "deepseek-v4-pro", ["none", "high", "max"]],
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["Baidu Qianfan Token Plan", "deepseek-v4-flash", ["none", "high", "max"]],
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["Baidu Qianfan Token Plan", "glm-5.1", ["none", "high"]],
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// BytePlus 国际站已切原生 Responses，档位=官方 Codex 文档三档（与国内
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// 站火山双 Plan 同源交叉印证）
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["BytePlus", "ark-code-latest", ["low", "medium", "high"]],
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// StepFun 官方两站模型页+reasoning 指南：3.7-flash 三档（默认 medium）、
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// 2603 两档；全系无关思考形态故无 none。effort 下发走后端 per-model
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// 推断（2603=low_high、3.7=passthrough）
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["StepFun", "step-3.7-flash", ["low", "medium", "high"]],
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["StepFun", "step-3.5-flash-2603", ["low", "high"]],
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["StepFun en", "step-3.7-flash", ["low", "medium", "high"]],
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["StepFun en", "step-3.5-flash-2603", ["low", "high"]],
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// Kimi 开放平台（原生 Responses 直连，默认模型 kimi-k3）：k3 三档不声明
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// default——native 模板默认 high ∈ 子集故后端保留 high（= 预设
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// config.toml 的 model_reasoning_effort），官方默认 max 只是 API 侧未显式
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// 传 effort 时的行为；k2.7-code 始终思考且官方标注不支持 effort → 单档。
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// 均关不掉思考无 none
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["Kimi", "kimi-k3", ["low", "high", "max"]],
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["Kimi", "kimi-k2.7-code", ["high"]],
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// Kimi Code 端点（原生 Responses 直连）：k3/k3-256k 官方 models.json 明写
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// default_reasoning_level "high"，与 native 模板回落值相同——照抄官方目录
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// 的显式声明（表单可见性优先，MiniMax/MiMo 先例）故仍有第四位期望；
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// 标准 kimi-for-coding 已升级到 K2.8 Preview；highspeed 保留原来的单档目录。
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["Kimi For Coding", "kimi-for-coding", ["low", "high", "max"], "high"],
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["Kimi For Coding", "kimi-for-coding-highspeed", ["high"]],
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["Kimi For Coding", "k3", ["low", "high", "max"], "high"],
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["Kimi For Coding", "k3-256k", ["low", "high", "max"], "high"],
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// OpenCode Go（Zen 网关）：opencode 客户端 variants() 严格按各模型在
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// models.dev 的 reasoning_options 声明发 reasoning_effort（provider/
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// transform.ts）——GLM5.3 两款有 low/high/max，Kimi K3.1 Pro 仅 max。
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// 代理转换层按同一张表逐模型钳制；GLM 默认 high 与预设配置一致。
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["OpenCode Go", "glm-5.3", ["low", "high", "max"], "high"],
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["OpenCode Go", "glm-5.3-flash", ["low", "high", "max"], "high"],
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["OpenCode Go", "kimi-k3.1-pro", ["max"]],
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["OpenCode Go", "deepseek-v4-pro", ["high", "max"]],
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["OpenCode Go", "deepseek-v4.1-flash", ["low", "high", "max"]],
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// 千问官方 Codex 页只发布一份 model-catalog.local.json，且该元数据段落
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// 位于套餐分页之前（help.aliyun.com/zh/model-studio/codex，2026-09-08
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// 核对）：qwen3.8-max 档位 low/medium/xhigh、默认 xhigh（≠ 模板回落的
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// none/high，故显式声明）；按量付费与 Token Plan 同源同一份
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["千问AI平台", "qwen3.8-max", ["low", "medium", "xhigh"], "xhigh"],
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["千问AI平台", "qwen3.8-2.4t-a95b", ["low", "medium", "xhigh"], "xhigh"],
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["千问AI平台", "qwen3.8-27b", ["low", "medium", "xhigh"], "xhigh"],
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["QwenCloud", "qwen3.8-2.4t-a95b", ["low", "medium", "xhigh"], "xhigh"],
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["QwenCloud", "qwen3.8-27b", ["low", "medium", "xhigh"], "xhigh"],
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// Ollama Cloud（原生 Responses 直连）：平台 /api/show 的 thinking.values
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//（2026-10-14）。关闭值是 false 而非 none，映射未证实故不列 none；每档
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// 都含 high，沿用模板默认 high，不声明 default
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["Ollama Cloud", "glm-5.3", ["low", "high", "max"]],
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["Ollama Cloud", "glm-5.3-flash", ["low", "high", "max"]],
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["Ollama Cloud", "kimi-k3", ["low", "high", "max"]],
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["Ollama Cloud", "deepseek-v4-pro:0813", ["low", "high", "max"]],
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["Ollama Cloud", "deepseek-v4.1-flash", ["low", "high", "max"]],
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// Ollama 本机（原生 Responses 直连）：gpt-oss 取 ollama.com/api/show 的
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// thinking.values；qwen3.5 只支持开关，文档写 none 映射为关（2026-10-14）
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["Ollama", "gpt-oss:20b", ["low", "medium", "high"]],
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["Ollama", "gpt-oss:120b", ["low", "medium", "high"]],
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["Ollama", "qwen3.5", ["none", "high"]],
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// LM Studio 本机（原生 Responses 直连）：取 LM Studio 声明的
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// reasoning.effort 枚举（lmstudio.ai/blog/lmstudio-v0.3.29，2026-10-14）
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["LM Studio", "openai/gpt-oss-20b", ["low", "medium", "high"]],
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// llama.cpp 本机（原生 Responses 直连）：Qwen3-Coder 不思考，llama-server 把
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// reasoning_effort 交给模型模板（PR #26941，2026-10-14），该模板不读，照
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// Nebius 先例只钉单档 high
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[
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"llama.cpp",
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"ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF",
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["high"],
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],
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// vLLM 本机（原生 Responses 直连）：vLLM 用户没设 enable_thinking 时按
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// effort != "none" 开关思考（responses/protocol.py，v0.31.0，2026-10-14），
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// Qwen3.6 模板只有开关，故两态
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["vLLM", "Qwen/Qwen3.6-27B", ["none", "high"]],
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// Baseten（Chat 路由，reasoning_effort 透传）：docs.baseten.co/inference/
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// model-apis/reasoning（2026-10-14）。GLM-5.3 系 none 按 low 处理（假关）
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// 故不列 none；V4.1 Flash 不支持 low；Kimi K3 API 默认 max，四款都显式
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// high 与 config.toml 一致
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["Baseten", "zai-org/GLM-5.3", ["low", "high", "max"], "high"],
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["Baseten", "moonshotai/Kimi-K3", ["none", "low", "high", "max"], "high"],
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["Baseten", "zai-org/GLM-5.3-Flash", ["low", "high", "max"], "high"],
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[
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"Baseten",
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"deepseek-ai/DeepSeek-V4.1-Flash-1017",
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["none", "high", "max"],
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"high",
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],
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// Meta Model API（原生 Responses 直连）：dev.meta.ai/docs/models.md 与
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// reasoning.md（2026-10-14）。两款常开思考，none 返回 400 故不列；
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// minimal 到 max 全支持
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[
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"Meta Model API",
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"muse-wonder-1.0",
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["minimal", "low", "medium", "high", "xhigh", "max"],
|
||
],
|
||
[
|
||
"Meta Model API",
|
||
"muse-spark-1.3",
|
||
["minimal", "low", "medium", "high", "xhigh", "max"],
|
||
],
|
||
// DeepInfra（原生 Responses 直连）：平台无逐模型档位声明
|
||
//（docs.deepinfra.com/chat/reasoning.md，2026-10-14），退回厂商官方档位，
|
||
// 同 DeepSeek / Kimi / Zhipu GLM 直连预设
|
||
[
|
||
"DeepInfra",
|
||
"deepseek-ai/DeepSeek-V4.1-Flash-1017",
|
||
["low", "high", "max"],
|
||
],
|
||
["DeepInfra", "deepseek-ai/DeepSeek-V4-Pro-0813", ["low", "high", "max"]],
|
||
["DeepInfra", "moonshotai/Kimi-K3", ["low", "high", "max"]],
|
||
["DeepInfra", "zai-org/GLM-5.3", ["low", "high", "max"]],
|
||
// Vercel AI Gateway（原生 Responses 直连）：GET ai-gateway.vercel.sh/codex/
|
||
// v1/models 的 supported_reasoning_levels（2026-10-14）；GPT-6 Astra /
|
||
// 6.1 Sol 另声明的 ultra 不放
|
||
[
|
||
"Vercel AI Gateway",
|
||
"openai/gpt-6-astra",
|
||
["low", "medium", "high", "xhigh", "max"],
|
||
],
|
||
[
|
||
"Vercel AI Gateway",
|
||
"openai/gpt-6.1-sol",
|
||
["low", "medium", "high", "xhigh", "max"],
|
||
],
|
||
[
|
||
"Vercel AI Gateway",
|
||
"openai/gpt-6-luna",
|
||
["low", "medium", "high", "xhigh", "max"],
|
||
],
|
||
[
|
||
"Vercel AI Gateway",
|
||
"anthropic/claude-sonnet-5.5",
|
||
["low", "medium", "high", "xhigh"],
|
||
],
|
||
[
|
||
"Vercel AI Gateway",
|
||
"anthropic/claude-opus-5.5",
|
||
["low", "medium", "high", "xhigh"],
|
||
],
|
||
// Nebius Token Factory（原生 Responses 直连）：平台不按模型声明档位，
|
||
// Responses 的 reasoning.effort 枚举无 max（api.tokenfactory.nebius.com/
|
||
// openapi.json，2026-10-14），实测前只钉单档 high
|
||
["Nebius Token Factory", "zai-org/GLM-5.3", ["high"]],
|
||
["Nebius Token Factory", "zai-org/GLM-5.3-Flash", ["high"]],
|
||
["Nebius Token Factory", "moonshotai/Kimi-K3", ["high"]],
|
||
["Nebius Token Factory", "moonshotai/Kimi-K2.7-Code", ["high"]],
|
||
["Nebius Token Factory", "deepseek-ai/DeepSeek-V4-Pro-0813", ["high"]],
|
||
// Hugging Face（Chat 路由，不下发推理参数）：router.huggingface.co/v1/models
|
||
// 不按模型声明思考开关与档位（2026-10-14），上游钉 :baseten，只钉单档 high
|
||
["Hugging Face", "zai-org/GLM-5.3:baseten", ["high"]],
|
||
["Hugging Face", "zai-org/GLM-5.3-Flash:baseten", ["high"]],
|
||
["Hugging Face", "moonshotai/Kimi-K3:baseten", ["high"]],
|
||
["Hugging Face", "deepseek-ai/DeepSeek-V4-Pro-0813:baseten", ["high"]],
|
||
// Fireworks AI（原生 Responses 直连）：Kimi K3 / DeepSeek V4.1 Flash 取 Chat
|
||
// API 参考逐模型说明（docs.fireworks.ai/api-reference/post-chatcompletions，
|
||
// 2026-10-14），GLM 5.3 / 5.3 Flash 参考未写，取 Pi 内置目录与 z.ai 官方
|
||
[
|
||
"Fireworks AI",
|
||
"accounts/fireworks/models/glm-5p3",
|
||
["low", "high", "max"],
|
||
],
|
||
[
|
||
"Fireworks AI",
|
||
"accounts/fireworks/models/kimi-k3",
|
||
["none", "low", "high", "max"],
|
||
],
|
||
[
|
||
"Fireworks AI",
|
||
"accounts/fireworks/models/deepseek-v4p1-flash",
|
||
["none", "low", "high", "max"],
|
||
],
|
||
[
|
||
"Fireworks AI",
|
||
"accounts/fireworks/models/glm-5p3-flash",
|
||
["low", "high", "max"],
|
||
],
|
||
];
|
||
|
||
it.each(EXPECTED)(
|
||
"%s / %s declares the vendor-documented levels",
|
||
(presetName, modelId, levels, expectedDefault) => {
|
||
const model = catalogModel(presetName, modelId);
|
||
expect(model.reasoningLevels).toEqual(levels);
|
||
// 显式默认来源见各预设注释；未声明时仍保留后端的 fallback 行为。
|
||
expect(model.defaultReasoningLevel).toBe(expectedDefault);
|
||
},
|
||
);
|
||
|
||
it("keeps deliberately-unfilled presets unfilled", () => {
|
||
// OpenCode Go 的 MiMo 无 effort 声明，与 opencode 客户端一致（代理侧
|
||
// 无表不发 reasoning_effort）。ModelScope 是否透传思考字段未证实，不造
|
||
// 两态假开关。
|
||
const UNFILLED: Array<[string, string]> = [
|
||
["OpenCode Go", "mimo-v2.6-pro"],
|
||
["ModelScope", "ZhipuAI/GLM-5.2"],
|
||
// StepFun 无后缀 3.5-flash：官方未暴露 effort，单一常开思考态
|
||
["StepFun", "step-3.5-flash"],
|
||
["StepFun en", "step-3.5-flash"],
|
||
// 千帆 Token Plan：三模型均不在 thinking 官方清单（2026-05-27 版）且
|
||
// 无任何官方接入示例下发思考字段——无证据不造档位
|
||
["Baidu Qianfan Token Plan", "deepseek-v4-flash-0731"],
|
||
["Baidu Qianfan Token Plan", "glm-5.2"],
|
||
["Baidu Qianfan Token Plan", "kimi-k2.6"],
|
||
// DeepInfra GLM-5.2 曾在此列（平台未声明、各处口径不一）；2026-10-24
|
||
// 已从 DeepInfra 目录移除，不再断言
|
||
// Mistral AI：开推理后流式 content 为分块数组、转换层暂不解析，且
|
||
// 现有 effortValueMode 发不出 "none"，第一版不下发推理参数、不填档位
|
||
["Mistral AI", "mistral-medium-3-5"],
|
||
["Mistral AI", "mistral-small-2603"],
|
||
];
|
||
for (const [presetName, modelId] of UNFILLED) {
|
||
const model = catalogModel(presetName, modelId);
|
||
expect(
|
||
model.reasoningLevels,
|
||
`${presetName}/${modelId} must stay unfilled`,
|
||
).toBeUndefined();
|
||
}
|
||
});
|
||
|
||
it("only ever declares canonical Codex efforts", () => {
|
||
for (const preset of codexProviderPresets) {
|
||
for (const model of preset.modelCatalog ?? []) {
|
||
for (const level of model.reasoningLevels ?? []) {
|
||
expect(
|
||
CANONICAL_EFFORTS,
|
||
`${preset.name}/${model.model} level "${level}"`,
|
||
).toContain(level);
|
||
}
|
||
if (model.defaultReasoningLevel !== undefined) {
|
||
expect(model.reasoningLevels ?? []).toContain(
|
||
model.defaultReasoningLevel,
|
||
);
|
||
}
|
||
}
|
||
}
|
||
});
|
||
});
|