From 55384bc23667437bcc3cfad26da584bb4d796e65 Mon Sep 17 00:00:00 2001
From: Vincent Koc <vincentkoc@ieee.org>
Date: Wed, 10 Jun 2026 23:38:19 +0900
Subject: [PATCH] fix(foundry): clamp Mythos Preview thinking

---
 extensions/microsoft-foundry/index.test.ts | 20 ++++++++++++++++++--
 extensions/microsoft-foundry/provider.ts   | 21 ++++++++++++++++++---
 extensions/microsoft-foundry/shared.ts     | 14 +++++++-------
 3 files changed, 43 insertions(+), 12 deletions(-)

diff --git a/extensions/microsoft-foundry/index.test.ts b/extensions/microsoft-foundry/index.test.ts
index 864a04b83660..de32c8ff90c7 100644
--- a/extensions/microsoft-foundry/index.test.ts
+++ b/extensions/microsoft-foundry/index.test.ts
@@ -1437,9 +1437,25 @@ describe("microsoft-foundry plugin", () => {
         modelId: "prod-opaque",
       } as never),
     ).toBeUndefined();
+    expect(
+      provider.resolveThinkingProfile?.({
+        provider: "microsoft-foundry",
+        modelId: "prod-mythos-preview",
+        modelName: "claude-mythos-preview",
+      } as never),
+    ).toMatchObject({
+      defaultLevel: "adaptive",
+      levels: [
+        { id: "minimal" },
+        { id: "low" },
+        { id: "medium" },
+        { id: "high" },
+        { id: "adaptive" },
+      ],
+    });
   });
 
-  it("records max-only thinking maps for Foundry Mythos Preview deployments", () => {
+  it("does not record native max thinking maps for Foundry Mythos Preview deployments", () => {
     const result = buildFoundryAuthResult({
       profileId: "microsoft-foundry:entra",
       apiKey: "__entra_id_dynamic__",
@@ -1451,7 +1467,7 @@ describe("microsoft-foundry plugin", () => {
     });
 
     const model = result.configPatch?.models?.providers?.["microsoft-foundry"]?.models[0];
-    expect(model?.thinkingLevelMap).toEqual({ max: "max" });
+    expect(model?.thinkingLevelMap).toBeUndefined();
   });
 
   it("keeps Foundry chat reasoning_effort enabled for GPT-5 reasoning deployments", () => {
diff --git a/extensions/microsoft-foundry/provider.ts b/extensions/microsoft-foundry/provider.ts
index c057d6e12e97..42fcd16990dd 100644
--- a/extensions/microsoft-foundry/provider.ts
+++ b/extensions/microsoft-foundry/provider.ts
@@ -1,8 +1,9 @@
 // Microsoft Foundry provider module implements model/runtime integration.
 import type { ProviderNormalizeResolvedModelContext } from "openclaw/plugin-sdk/core";
-import type {
-  ModelProviderConfig,
-  ProviderPlugin,
+import {
+  resolveClaudeThinkingProfile,
+  type ModelProviderConfig,
+  type ProviderPlugin,
 } from "openclaw/plugin-sdk/provider-model-shared";
 import { OPENAI_RESPONSES_STREAM_HOOKS } from "openclaw/plugin-sdk/provider-stream-family";
 import { apiKeyAuthMethod, entraIdAuthMethod } from "./auth.js";
@@ -13,6 +14,7 @@ import {
   applyFoundryProviderConfig,
   buildFoundryProviderBaseUrl,
   extractFoundryEndpoint,
+  isFoundryClaudeMythosPreview,
   isFoundryProviderApi,
   normalizeFoundryEndpoint,
   resolveFoundryModelCapabilities,
@@ -175,6 +177,19 @@ export function buildMicrosoftFoundryProvider(): ProviderPlugin {
       }
       applyFoundryProviderConfig(ctx.config, nextProviderConfig);
     },
+    resolveThinkingProfile: ({ modelId, modelName }) => {
+      const capabilities = resolveFoundryModelCapabilities(modelId, modelName);
+      if (!capabilities.reasoning || capabilities.api !== "anthropic-messages") {
+        return undefined;
+      }
+      const profile = resolveClaudeThinkingProfile(capabilities.modelName);
+      return isFoundryClaudeMythosPreview(capabilities.modelName)
+        ? {
+            ...profile,
+            levels: profile.levels.filter((level) => level.id !== "xhigh" && level.id !== "max"),
+          }
+        : profile;
+    },
     normalizeResolvedModel: ({ modelId, model }: ProviderNormalizeResolvedModelContext) => {
       const endpoint = extractFoundryEndpoint(model.baseUrl ?? "");
       if (!endpoint) {
diff --git a/extensions/microsoft-foundry/shared.ts b/extensions/microsoft-foundry/shared.ts
index 1fb05a32ffb5..55304628a7e8 100644
--- a/extensions/microsoft-foundry/shared.ts
+++ b/extensions/microsoft-foundry/shared.ts
@@ -9,7 +9,6 @@ import {
 import {
   isClaudeMandatoryAdaptiveThinkingModelId,
   supportsClaudeAdaptiveThinking,
-  supportsClaudeNativeMaxEffort,
   supportsClaudeNativeXhighEffort,
   type ModelApi,
   type ModelProviderConfig,
@@ -157,6 +156,10 @@ export function isAnthropicFoundryDeployment(modelName?: string | null): boolean
   return normalized ? normalized.startsWith("claude") : false;
 }
 
+export function isFoundryClaudeMythosPreview(value?: string | null): boolean {
+  return normalizeFoundryModelName(value) === "claude-mythos-preview";
+}
+
 export function usesFoundryResponsesByDefault(value?: string | null): boolean {
   const normalized = normalizeFoundryModelName(value);
   if (!normalized) {
@@ -417,7 +420,6 @@ export function resolveFoundryModelCapabilities(
   const supportedReasoningEfforts = resolveFoundryReasoningEfforts(modelName);
   const isAnthropic = api === ANTHROPIC_MESSAGES_API || isAnthropicFoundryDeployment(modelName);
   const supportsClaudeThinking = isAnthropic && supportsClaudeAdaptiveThinking(modelName);
-  const supportsClaudeMaxThinking = isAnthropic && supportsClaudeNativeMaxEffort(modelName);
   const supportsClaudeXhighThinking = isAnthropic && supportsClaudeNativeXhighEffort(modelName);
   const tokenLimits = resolveFoundryModelTokenLimits(modelName);
   return {
@@ -429,11 +431,9 @@ export function resolveFoundryModelCapabilities(
       supportsFoundryReasoningContent(modelName),
     ...(supportsClaudeXhighThinking
       ? { thinkingLevelMap: { xhigh: "xhigh", max: "max" } }
-      : supportsClaudeMaxThinking
-        ? { thinkingLevelMap: { max: "max" } }
-        : supportedReasoningEfforts
-          ? { thinkingLevelMap: buildFoundryThinkingLevelMap(supportedReasoningEfforts) }
-          : {}),
+      : supportedReasoningEfforts
+        ? { thinkingLevelMap: buildFoundryThinkingLevelMap(supportedReasoningEfforts) }
+        : {}),
     input:
       normalizedInput.includes("image") || supportsFoundryImageInput(modelName)
         ? ["text", "image"]