lidge-jun · Eleven-is-cool · Jul 28, 2026
@@ -172,6 +172,7 @@ token の代わりに使えます。すべての候補は timing side channel
 | `modelReasoningEfforts?` | `Record<string,string[]>` | モデル別 reasoning ラベル。空配列はそのモデルの effort control を隠します。 |
 | `modelSupportsReasoningSummaries?` | `Record<string,boolean>` | モデル別 reasoning summary capability。`false` にすると summary 対応を広告せず、`openai-responses` リクエスト前に summary-delivery フィールドを除去します。 |
 | `modelReasoningSummaryDelivery?` | `Record<string,"sequential" \| "sequential_cutoff" \| "concurrent" \| "concurrent_cutoff">` | モデル別の Responses delivery enum。設定したモデルは summary 対応を維持し、既存の `stream_options.reasoning_summary_delivery` だけを書き換えます。同じモデルの summary capability を `false` にはできません。 |
+| `modelPreferHostedTools?` | `Record<string,string[]>` | hosted tool namespace を予約する非 forward Responses gateway 向けの完全一致モデル opt-in。現在は `["image_generation"]` のみを受け付けます。一致したモデルは `openai-responses` wire を使い、その hosted tool をサポートする必要があります。競合するクライアント `image_gen` 宣言を除去し、呼び出し元の tool choice を維持するため selector も書き換えます。OpenAI API の仮想 `-pro` モデルでは、まず選択した公開 ID に一致させ、解決後のベース wire-model ID をフォールバックとして使用します。`modelAdapters` は公開 ID、次にベース ID の順に解決し、後者の結果が最終 wire を決めます。未設定のモデルは通常の alias 動作を維持します。 |
 | `reasoningEffortMap?` | `Record<string,string>` | プロバイダー単位の reasoning ラベル wire alias。上流が別の値を要求するときだけ使います。 |
 | `modelReasoningEffortMap?` | `Record<string,Record<string,string>>` | モデル別 reasoning ラベル wire alias。 |
 | `noReasoningModels?` | `string[]` | reasoning/thinking パラメータを拒否するモデル。アダプターが `reasoning_effort` を削除します。 |

@@ -181,6 +181,7 @@ token 대신 쓸 수 있습니다. 모든 후보는 timing side channel을 막
 | `modelReasoningEfforts?` | `Record<string,string[]>` | 모델별 reasoning 레이블. 빈 배열은 해당 모델의 effort control을 숨깁니다. |
 | `modelSupportsReasoningSummaries?` | `Record<string,boolean>` | 모델별 reasoning summary capability. 모델 값을 `false`로 두면 summary 지원을 알리지 않고 `openai-responses` 요청 전에 summary-delivery 필드를 제거합니다. |
 | `modelReasoningSummaryDelivery?` | `Record<string,"sequential" \| "sequential_cutoff" \| "concurrent" \| "concurrent_cutoff">` | 모델별 Responses delivery enum입니다. 설정된 모델은 summary 지원을 유지하며 기존 `stream_options.reasoning_summary_delivery` 값만 바꿉니다. 같은 모델의 summary capability를 `false`로 설정할 수 없습니다. |
+| `modelPreferHostedTools?` | `Record<string,string[]>` | hosted tool namespace를 예약하는 non-forward Responses gateway용 정확한 모델 ID opt-in입니다. 현재 `["image_generation"]`만 허용하며, 일치하는 모델은 `openai-responses` wire를 사용하고 해당 hosted tool을 지원해야 합니다. 충돌하는 클라이언트 `image_gen` 선언을 제거하고 호출자의 tool choice를 유지하도록 selector도 다시 씁니다. OpenAI API 가상 `-pro` 모델은 선택한 공개 ID를 먼저 일치시키고, 해석된 기본 wire-model ID를 대체값으로 사용합니다. `modelAdapters`는 공개 ID를 먼저, 그 다음 기본 ID를 해석하며, 두 번째 결과가 최종 wire를 결정합니다. 설정하지 않은 모델은 일반 alias 동작을 유지합니다. |
 | `modelAdapters?` | `Record<string,string>` | 여러 wire를 쓰는 모델이 한 게이트웨이에 섞여 있을 때의 모델별 wire 지정. 키는 upstream native 모델 ID이고 값은 `openai-chat` 또는 `openai-responses`만 허용합니다. `web_search` 같은 hosted tool 때문에 한 모델만 Responses API가 필요할 때 씁니다. upstream이 wire를 고정한 모델과 canonical ChatGPT forward provider에서는 override가 거부됩니다. |
 | `reasoningEffortMap?` | `Record<string,string>` | 프로바이더 단위 reasoning 레이블 wire alias. 업스트림이 다른 값을 요구할 때만 사용합니다. |
 | `modelReasoningEffortMap?` | `Record<string,Record<string,string>>` | 모델별 reasoning 레이블 wire alias. |

@@ -298,6 +298,7 @@ or bind the forward explicitly to loopback (`ssh -L 127.0.0.1:20100:localhost:10
 | `modelSupportsReasoningSummaries?` | `Record<string,boolean>` | Model-specific reasoning-summary capability. Set a model to `false` to stop advertising summaries and strip summary-delivery fields before an `openai-responses` request. |
 | `modelReasoningSummaryDelivery?` | `Record<string,"sequential" \| "sequential_cutoff" \| "concurrent" \| "concurrent_cutoff">` | Model-specific Responses delivery enum. A configured model stays summary-capable and only an existing `stream_options.reasoning_summary_delivery` is rewritten; do not combine it with a `false` summary capability for the same model. |
 | `modelAdapters?` | `Record<string,string>` | Per-model wire override for a gateway that fronts models speaking different wires. Keys are upstream native model ids; values must be `openai-chat` or `openai-responses`. Useful when one model needs the Responses API for hosted tools such as `web_search` while its siblings are fine on chat completions. Models the upstream pins to a single wire, and the canonical ChatGPT forward provider, reject overrides. |
+| `modelPreferHostedTools?` | `Record<string,string[]>` | Exact-model opt-in for non-forward Responses gateways that reserve a hosted-tool namespace. Currently accepts only `["image_generation"]`; a matching model must use the `openai-responses` wire and support that hosted tool. It removes colliding client `image_gen` declarations and rewrites their selectors to preserve caller tool choice. For OpenAI API virtual `-pro` models, the selected public ID is matched first and the resolved base wire-model ID is a fallback. `modelAdapters` resolves the public ID first, then the base ID; the second resolution determines the final wire. Other models retain normal alias behavior. |
 | `reasoningEffortMap?` | `Record<string,string>` | Provider-wide wire aliases for reasoning labels. Use only when the upstream expects a different value. |
 | `modelReasoningEffortMap?` | `Record<string,Record<string,string>>` | Model-specific wire aliases for reasoning labels. |
 | `noReasoningModels?` | `string[]` | Models that reject a reasoning/thinking param — the adapter drops `reasoning_effort` for them. |

@@ -204,6 +204,7 @@ x-opencodex-api-key: your-secret-token
 | `modelReasoningEfforts?` | `Record<string,string[]>` | Метки рассуждений для конкретных моделей. Пустой список скрывает управление уровнем рассуждений для этой модели. |
 | `modelSupportsReasoningSummaries?` | `Record<string,boolean>` | Поддержка reasoning summary для отдельных моделей. Значение `false` отключает объявление summary и удаляет поля summary-delivery перед запросом `openai-responses`. |
 | `modelReasoningSummaryDelivery?` | `Record<string,"sequential" \| "sequential_cutoff" \| "concurrent" \| "concurrent_cutoff">` | Enum доставки Responses для отдельных моделей. Настроенная модель сохраняет поддержку summary, а адаптер меняет только уже существующее `stream_options.reasoning_summary_delivery`. Нельзя одновременно отключить summary для той же модели. |
+| `modelPreferHostedTools?` | `Record<string,string[]>` | Opt-in для точного model ID в non-forward Responses gateway, который резервирует namespace hosted tool. Сейчас допускается только `["image_generation"]`; совпавшая модель должна использовать wire `openai-responses` и поддерживать этот hosted tool. Прокси удаляет конфликтующие клиентские объявления `image_gen` и переписывает их selectors, сохраняя caller tool choice. Для виртуальных моделей OpenAI API `-pro` сначала сопоставляется выбранный публичный ID, а затем в качестве fallback используется ID базовой wire-модели. `modelAdapters` сначала разрешается по публичному ID, затем по базовому ID; второй результат определяет итоговый wire. Остальные модели сохраняют обычное alias-поведение. |
 | `reasoningEffortMap?` | `Record<string,string>` | Wire-алиасы меток рассуждений на уровне провайдера. Используйте только когда вышестоящая сторона ожидает другое значение. |
 | `modelReasoningEffortMap?` | `Record<string,Record<string,string>>` | Wire-алиасы меток рассуждений для конкретных моделей. |
 | `noReasoningModels?` | `string[]` | Модели, отклоняющие параметр reasoning/thinking — адаптер удаляет для них `reasoning_effort`. |

@@ -172,6 +172,7 @@ x-opencodex-api-key: your-secret-token
 | `modelReasoningEfforts?` | `Record<string,string[]>` | 模型级 reasoning label。空数组会隐藏该模型的 effort 控件。 |
 | `modelSupportsReasoningSummaries?` | `Record<string,boolean>` | 模型级 reasoning summary 能力。设为 `false` 时不再声明 summary 支持，并在 `openai-responses` 请求前移除 summary-delivery 字段。 |
 | `modelReasoningSummaryDelivery?` | `Record<string,"sequential" \| "sequential_cutoff" \| "concurrent" \| "concurrent_cutoff">` | 模型级 Responses delivery enum。已配置模型保持 summary 能力，适配器只改写现有的 `stream_options.reasoning_summary_delivery`；同一模型不能同时将 summary 能力设为 `false`。 |
+| `modelPreferHostedTools?` | `Record<string,string[]>` | 非 forward Responses gateway 的精确模型 ID opt-in，用于上游预留 hosted tool namespace 的情况。目前只支持 `["image_generation"]`；匹配模型必须使用 `openai-responses` wire 且支持该 hosted 工具。它会移除冲突的客户端 `image_gen` 声明，并改写其 selector 以保持调用方的 tool choice。对于 OpenAI API 的虚拟 `-pro` 模型，先匹配所选公开 ID，未命中时才使用解析出的基础 wire-model ID 作为回退。`modelAdapters` 会先按公开 ID、再按基础 ID 解析；后一次结果决定最终 wire。未配置模型保持普通 alias 行为。 |
 | `reasoningEffortMap?` | `Record<string,string>` | provider 级 reasoning label wire alias。只在上游需要不同值时使用。 |
 | `modelReasoningEffortMap?` | `Record<string,Record<string,string>>` | 模型级 reasoning label wire alias。 |
 | `noReasoningModels?` | `string[]` | 拒绝 reasoning/thinking 参数的模型；adapter 会为它们移除 `reasoning_effort`。 |

@@ -4,6 +4,7 @@ import { namespacedToolName, type AdapterEvent, type OcxParsedRequest, type OcxP
 import { catalogModelSupportsReasoningSummaries } from "../codex/catalog";
 import { COMPACT_PROMPT, decodeCompactionSummary, SUMMARY_PREFIX } from "../responses/compaction";
 import { collectResponsesToolGroups } from "../responses/tool-groups";
+import { isHostedToolUnsupportedForModel } from "../responses/hosted-tool-policy";
 import { decodeServerSentEvents } from "../lib/sse-decoder";
 import { isCanonicalOpenAiForwardProvider } from "../providers/openai-tiers";
 import { OCX_REASONING_PREFIX } from "../responses/reasoning-envelope";
@@ -147,18 +148,6 @@ function scrubOcxCompactionItems(body: unknown): unknown {
   return changed ? { ...body, input } : body;
 }
 
-/**
- * Hosted (OpenAI-executed) tool types that specific native slugs reject at request time. Codex
- * attaches these for app skills (e.g. `image_generation` for imagegen) regardless of the target
- * model, and the passthrough path forwards the raw body untouched — so a slug that doesn't support
- * the tool 400s (`Tool 'image_generation' is not supported with gpt-5.3-codex-spark.`). Each entry
- * maps a model-slug matcher to the hosted tool types that must be stripped before forwarding.
- * Extend this when another native slug rejects a hosted tool (e.g. `code_interpreter`).
- */
-const UNSUPPORTED_HOSTED_TOOLS: ReadonlyArray<{ match: (model: string) => boolean; tools: ReadonlySet<string> }> = [
-  { match: model => model.includes("codex-spark"), tools: new Set(["image_generation", "tool_search"]) },
-];
-
 /**
  * Strip unsupported `reasoning` sub-parameters for native slugs that reject them (e.g. Spark).
  * codex-rs injects `reasoning.context` and `reasoning.summary` based on catalog flags; Spark's
@@ -532,6 +521,114 @@ function declaresImageGenClientTool(tool: unknown): boolean {
   return isImageGenClientName(tool.name);
 }
 
+/** Rewrite client image-gen selectors to the hosted tool without widening caller restrictions. */
+function preferHostedImageGenToolChoice(toolChoice: unknown): unknown {
+  if (!isPlainObject(toolChoice)) return toolChoice;
+  if ((toolChoice.type === "function" || toolChoice.type === "custom") && typeof toolChoice.name === "string") {
+    return isImageGenClientName(toolChoice.name) ? { type: HOSTED_IMAGE_GENERATION_TOOL } : toolChoice;
+  }
+  if (toolChoice.type !== "allowed_tools" || !Array.isArray(toolChoice.tools)) return toolChoice;
+  const hasHostedImageTool = toolChoice.tools.some(tool => isPlainObject(tool) && tool.type === HOSTED_IMAGE_GENERATION_TOOL);
+  let changed = false;
+  let addedHostedImageTool = false;
+  const tools: unknown[] = [];
+  for (const tool of toolChoice.tools) {
+    const isClientImageTool = isPlainObject(tool)
+      && (tool.type === "function" || tool.type === "custom")
+      && typeof tool.name === "string"
+      && isImageGenClientName(tool.name);
+    if (!isClientImageTool) {
+      tools.push(tool);
+      continue;
+    }
+    changed = true;
+    if (!hasHostedImageTool && !addedHostedImageTool) {
+      tools.push({ type: HOSTED_IMAGE_GENERATION_TOOL });
+      addedHostedImageTool = true;
+    }
+  }
+  return changed ? { ...toolChoice, tools } : toolChoice;
+}
+
+/**
+ * Some Responses-compatible gateways reserve the hosted image namespace even when the request
+ * does not explicitly declare `image_generation`. For an explicitly configured model, remove only
+ * colliding client declarations so the gateway's hosted tool can take precedence.
+ */
+function preferConfiguredHostedTools(
+  body: unknown,
+  provider: OcxProviderConfig,
+  modelId: string,
+  selectedModelId?: string,
+): unknown {
+  // A virtual model's advertised id takes precedence over its resolved wire-model id.
+  const preferredTools = (selectedModelId ? provider.modelPreferHostedTools?.[selectedModelId] : undefined)
+    ?? provider.modelPreferHostedTools?.[modelId];
+  if (!preferredTools?.includes(HOSTED_IMAGE_GENERATION_TOOL) || !isPlainObject(body)) return body;
+
+  const stripGroup = (tools: unknown[]): unknown[] => {
+    const filtered = tools.filter(tool => !declaresImageGenClientTool(tool));
+    return filtered.length === tools.length ? tools : filtered;
+  };
+
+  let changed = false;
+  let tools = body.tools;
+  let strippedTopLevelImageGenTool = false;
+  if (Array.isArray(body.tools)) {
+    tools = stripGroup(body.tools);
+    strippedTopLevelImageGenTool = tools !== body.tools;
+    changed ||= strippedTopLevelImageGenTool;
+  }
+
+  let input = body.input;
+  let strippedAdditionalToolsIndex = -1;
+  if (Array.isArray(body.input)) {
+    let nestedChanged = false;
+    const mappedInput = body.input.map((item, index) => {
+      if (!isPlainObject(item) || item.type !== "additional_tools" || !Array.isArray(item.tools)) return item;
+      const nestedTools = stripGroup(item.tools);
+      if (nestedTools === item.tools) return item;
+      if (strippedAdditionalToolsIndex === -1) strippedAdditionalToolsIndex = index;
+      nestedChanged = true;
+      return { ...item, tools: nestedTools };
+    });
+    if (nestedChanged) {
+      input = mappedInput;
+      changed = true;
+    }
+  }
+
+  const hasToolChoice = Object.hasOwn(body, "tool_choice");
+  const toolChoice = hasToolChoice ? preferHostedImageGenToolChoice(body.tool_choice) : body.tool_choice;
+  const toolChoiceChanged = hasToolChoice && toolChoice !== body.tool_choice;
+  const hasHostedImageGenTool = (toolGroup: unknown): boolean => Array.isArray(toolGroup)
+    && toolGroup.some(tool => isPlainObject(tool) && tool.type === HOSTED_IMAGE_GENERATION_TOOL);
+  const hasHostedImageGenDeclaration = hasHostedImageGenTool(tools)
+    || (Array.isArray(input) && input.some(item => isPlainObject(item)
+      && item.type === "additional_tools"
+      && hasHostedImageGenTool(item.tools)));
+  if ((strippedTopLevelImageGenTool || strippedAdditionalToolsIndex >= 0) && !hasHostedImageGenDeclaration) {
+    if (strippedTopLevelImageGenTool && Array.isArray(tools)) {
+      tools = [...tools, { type: HOSTED_IMAGE_GENERATION_TOOL }];
+    } else if (strippedAdditionalToolsIndex >= 0 && Array.isArray(input)) {
+      input = input.map((item, index) => index === strippedAdditionalToolsIndex
+        && isPlainObject(item)
+        && Array.isArray(item.tools)
+        ? { ...item, tools: [...item.tools, { type: HOSTED_IMAGE_GENERATION_TOOL }] }
+        : item);
+    }
+  }
+  changed ||= toolChoiceChanged;
+  if (!changed) return body;
+  const next: Record<string, unknown> = {
+    ...body,
+    ...(Array.isArray(body.tools) ? { tools } : {}),
+    ...(Array.isArray(body.input) ? { input } : {}),
+  };
+  if (toolChoiceChanged) next.tool_choice = toolChoice;
+  return next;
+}
+
 /**
  * Lower one complete Codex image-gen namespace to public Responses function tools.
  *
@@ -790,13 +887,9 @@ function normalizeImageGenClientTools(body: unknown): unknown {
 function stripUnsupportedHostedTools(body: unknown): unknown {
   if (!isPlainObject(body) || !Array.isArray(body.tools)) return body;
   const model = typeof body.model === "string" ? body.model : "";
-  const unsupported = UNSUPPORTED_HOSTED_TOOLS.filter(e => e.match(model));
-  if (unsupported.length === 0) return body;
-
   const tools = body.tools.filter(t => {
     const type = isPlainObject(t) && typeof t.type === "string" ? t.type : undefined;
-    if (!type) return true;
-    return !unsupported.some(e => e.tools.has(type));
+    return !type || !isHostedToolUnsupportedForModel(model, type);
   });
   return tools.length === body.tools.length ? body : { ...body, tools };
 }
@@ -926,8 +1019,15 @@ export function createResponsesPassthroughAdapter(provider: OcxProviderConfig):
       if (forward) {
         outBody = repairOrphanedInputItems(outBody, unexpandedMiss);
         outBody = stripUnsupportedForwardParams(outBody);
+      } else {
+        outBody = preferConfiguredHostedTools(
+          outBody,
+          provider,
+          parsed.modelId,
+          parsed._openAiVirtualSelectedModelId,
+        );
+        outBody = normalizeImageGenClientTools(outBody);
       }
-      else outBody = normalizeImageGenClientTools(outBody);
       if (forward || parsed._previousResponseInputExpanded === true) {
         outBody = repairOversizedReplayCallIds(outBody);
       }