test(regression): cover recent landed fix paths

src/agents/model-fallback.test.ts

@@ -518,6 +518,35 @@ describe("runWithModelFallback", () => {
     }
   });
 
+  it("sanitizes model identifiers in model_not_found warnings", async () => {
+    setLoggerOverride({ level: "silent", consoleLevel: "warn" });
+    const warnSpy = vi.spyOn(console, "warn").mockImplementation(() => {});
+    try {
+      const cfg = makeCfg();
+      const run = vi
+        .fn()
+        .mockRejectedValueOnce(new Error("Model not found: openai/gpt-6"))
+        .mockResolvedValueOnce("ok");
+
+      const result = await runWithModelFallback({
+        cfg,
+        provider: "openai",
+        model: "gpt-6\u001B[31m\nspoof",
+        run,
+      });
+
+      expect(result.result).toBe("ok");
+      const warning = warnSpy.mock.calls[0]?.[0] as string;
+      expect(warning).toContain('Model "openai/gpt-6spoof" not found');
+      expect(warning).not.toContain("\u001B");
+      expect(warning).not.toContain("\n");
+    } finally {
+      warnSpy.mockRestore();
+      setLoggerOverride(null);
+      resetLogger();
+    }
+  });
+
   it("skips providers when all profiles are in cooldown", async () => {
     await expectSkippedUnavailableProvider({
       providerPrefix: "cooldown-test",

src/agents/model-selection.test.ts

@@ -472,6 +472,39 @@ describe("model-selection", () => {
       }
     });
 
+    it("sanitizes control characters in providerless-model warnings", () => {
+      setLoggerOverride({ level: "silent", consoleLevel: "warn" });
+      const warnSpy = vi.spyOn(console, "warn").mockImplementation(() => {});
+      try {
+        const cfg: Partial<OpenClawConfig> = {
+          agents: {
+            defaults: {
+              model: { primary: "\u001B[31mclaude-3-5-sonnet\nspoof" },
+            },
+          },
+        };
+
+        const result = resolveConfiguredModelRef({
+          cfg: cfg as OpenClawConfig,
+          defaultProvider: "google",
+          defaultModel: "gemini-pro",
+        });
+
+        expect(result).toEqual({
+          provider: "anthropic",
+          model: "\u001B[31mclaude-3-5-sonnet\nspoof",
+        });
+        const warning = warnSpy.mock.calls[0]?.[0] as string;
+        expect(warning).toContain('Falling back to "anthropic/claude-3-5-sonnet"');
+        expect(warning).not.toContain("\u001B");
+        expect(warning).not.toContain("\n");
+      } finally {
+        warnSpy.mockRestore();
+        setLoggerOverride(null);
+        resetLogger();
+      }
+    });
+
     it("should use default provider/model if config is empty", () => {
       const cfg: Partial<OpenClawConfig> = {};
       const result = resolveConfiguredModelRef({

src/agents/pi-embedded-runner-extraparams.test.ts

@@ -1429,6 +1429,32 @@ describe("applyExtraParamsToAgent", () => {
     expect(payload).not.toHaveProperty("store");
   });
 
+  it("keeps existing context_management when stripping store for supportsStore=false models", () => {
+    const payload = runResponsesPayloadMutationCase({
+      applyProvider: "custom-openai-responses",
+      applyModelId: "gemini-2.5-pro",
+      model: {
+        api: "openai-responses",
+        provider: "custom-openai-responses",
+        id: "gemini-2.5-pro",
+        name: "gemini-2.5-pro",
+        baseUrl: "https://gateway.ai.cloudflare.com/v1/account/gateway/openai",
+        reasoning: false,
+        input: ["text"],
+        cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
+        contextWindow: 1_000_000,
+        maxTokens: 65_536,
+        compat: { supportsStore: false },
+      } as unknown as Model<"openai-responses">,
+      payload: {
+        store: false,
+        context_management: [{ type: "compaction", compact_threshold: 12_345 }],
+      },
+    });
+    expect(payload).not.toHaveProperty("store");
+    expect(payload.context_management).toEqual([{ type: "compaction", compact_threshold: 12_345 }]);
+  });
+
   it("auto-injects OpenAI Responses context_management compaction for direct OpenAI models", () => {
     const payload = runResponsesPayloadMutationCase({
       applyProvider: "openai",