fix: dedupe OpenAI strict schema downgrade diagnostics (#82933)

* fix: dedupe openai strict schema downgrade logs

* test: align openai transport helper export

* test: cover openai downgrade log behavior

* docs: note openai downgrade diagnostic dedupe

---------

Co-authored-by: Galin Iliev <Galin.Iliev@microsoft.com>

CHANGELOG.md

@@ -12,6 +12,7 @@ Docs: https://docs.openclaw.ai
 ### Fixes
 
 - Agents: filter silent heartbeat response-tool transcript artifacts out of embedded context snapshots so later user turns are not polluted by heartbeat no-op messages. (#83477) Thanks @fuller-stack-dev.
+- Agents/OpenAI: log repeated strict tool-schema downgrade diagnostics once per provider/model/tool signature, reducing duplicate debug noise while preserving `strict=false` fallback behavior. Fixes #82930. (#82933) Thanks @galiniliev.
 - Agents/code mode: spell out the `exec` tool's JavaScript/TypeScript, no Node module, and catalog-bridge constraints in model-visible schema text so agents can use enabled tools without trial-and-error. (#84269) Thanks @Kaspre.
 - Codex: give `image_generate` dynamic-tool calls a 120s default watchdog when no per-call or configured image timeout is set, so image generation no longer falls back to the generic 30s bridge timeout. (#84254) Thanks @moritzmmayerhofer.
 - Codex: avoid duplicate dynamic tool terminal diagnostics while large diagnostic backlogs drain without blocking tool responses. (#82937) Thanks @galiniliev.

src/agents/openai-transport-stream.test.ts

@@ -3015,6 +3015,82 @@ describe("openai transport stream", () => {
     expect(params.tools?.[0]?.strict).toBe(false);
   });
 
+  it("deduplicates repeated OpenAI strict schema downgrade diagnostics", async () => {
+    const debug = vi.fn();
+    const logger = {
+      subsystem: "openai-transport",
+      isEnabled: vi.fn((level: string, target?: string) => level === "debug" && target === "any"),
+      trace: vi.fn(),
+      debug,
+      info: vi.fn(),
+      warn: vi.fn(),
+      error: vi.fn(),
+      fatal: vi.fn(),
+      raw: vi.fn(),
+      child: vi.fn(),
+    };
+    logger.child.mockReturnValue(logger);
+
+    vi.resetModules();
+    vi.doMock("../logging/subsystem.js", async (importOriginal) => ({
+      ...(await importOriginal<typeof import("../logging/subsystem.js")>()),
+      createSubsystemLogger: vi.fn(() => logger),
+    }));
+
+    try {
+      const { buildOpenAIResponsesParams: isolatedBuildOpenAIResponsesParams } =
+        await import("./openai-transport-stream.js");
+      const model = {
+        id: "gpt-5.4",
+        name: "GPT-5.4",
+        api: "openai-responses",
+        provider: "openai",
+        baseUrl: "https://api.openai.com/v1",
+        reasoning: true,
+        input: ["text"],
+        cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
+        contextWindow: 200000,
+        maxTokens: 8192,
+      } satisfies Model<"openai-responses">;
+      const context = {
+        systemPrompt: "system",
+        messages: [],
+        tools: [
+          {
+            name: "read",
+            description: "Read file",
+            parameters: {
+              type: "object",
+              additionalProperties: false,
+              properties: { path: { type: "string" } },
+              required: [],
+            },
+          },
+        ],
+      } as never;
+
+      const first = isolatedBuildOpenAIResponsesParams(model, context, undefined) as {
+        tools?: Array<{ strict?: boolean }>;
+      };
+      const second = isolatedBuildOpenAIResponsesParams(model, context, undefined) as {
+        tools?: Array<{ strict?: boolean }>;
+      };
+
+      expect(first.tools?.[0]?.strict).toBe(false);
+      expect(second.tools?.[0]?.strict).toBe(false);
+      expect(
+        debug.mock.calls.filter(
+          ([message]) =>
+            typeof message === "string" &&
+            message.includes("tool schema strict mode downgraded to strict=false"),
+        ),
+      ).toHaveLength(1);
+    } finally {
+      vi.doUnmock("../logging/subsystem.js");
+      vi.resetModules();
+    }
+  });
+
   it("omits responses strict tool shaping for proxy-like OpenAI routes", () => {
     const params = buildOpenAIResponsesParams(
       {

src/agents/openai-transport-stream.ts

@@ -78,7 +78,9 @@ const AZURE_RESPONSES_FIRST_EVENT_TIMEOUT_MS = 30_000;
 const MODEL_STREAM_COOPERATIVE_YIELD_INTERVAL_MS = 12;
 const MODEL_STREAM_COOPERATIVE_YIELD_MAX_EVENTS = 64;
 const RESPONSE_FAILED_NO_DETAILS_MESSAGE = "Unknown error (no error details in response)";
+const MAX_OPENAI_STRICT_TOOL_DOWNGRADE_DIAGNOSTIC_KEYS = 256;
 const log = createSubsystemLogger("openai-transport");
+const loggedOpenAIStrictToolDowngradeDiagnosticKeys = new Set<string>();
 
 type ReplayableResponseOutputMessage = Omit<ResponseOutputMessage, "id"> & { id?: string };
 type ReplayableResponseReasoningItem = Omit<ResponseReasoningItem, "id"> & { id?: string };
@@ -976,6 +978,9 @@ function resolveOpenAIStrictToolFlagWithDiagnostics(
   const strict = resolveOpenAIStrictToolFlagForInventory(tools, strictSetting);
   if (strictSetting === true && strict === false && log.isEnabled("debug", "any")) {
     const diagnostics = findOpenAIStrictToolSchemaDiagnostics(tools);
+    if (!shouldLogOpenAIStrictToolDowngradeDiagnostic(diagnostics, context)) {
+      return strict;
+    }
     const sample = diagnostics.slice(0, 5).map((entry) => ({
       tool: entry.toolName ?? `tool[${entry.toolIndex}]`,
       violations: entry.violations.slice(0, 8),
@@ -996,6 +1001,44 @@ function resolveOpenAIStrictToolFlagWithDiagnostics(
   return strict;
 }
 
+function buildOpenAIStrictToolDowngradeDiagnosticKey(
+  diagnostics: ReturnType<typeof findOpenAIStrictToolSchemaDiagnostics>,
+  context: { transport: "responses" | "completions"; model: OpenAIModeModel },
+): string {
+  return createHash("sha256")
+    .update(
+      JSON.stringify({
+        transport: context.transport,
+        provider: context.model.provider ?? null,
+        model: context.model.id ?? null,
+        diagnostics: diagnostics.map((entry) => ({
+          toolIndex: entry.toolIndex,
+          toolName: entry.toolName ?? null,
+          violations: entry.violations,
+        })),
+      }),
+    )
+    .digest("hex");
+}
+
+function shouldLogOpenAIStrictToolDowngradeDiagnostic(
+  diagnostics: ReturnType<typeof findOpenAIStrictToolSchemaDiagnostics>,
+  context: { transport: "responses" | "completions"; model: OpenAIModeModel },
+): boolean {
+  const key = buildOpenAIStrictToolDowngradeDiagnosticKey(diagnostics, context);
+  if (loggedOpenAIStrictToolDowngradeDiagnosticKeys.has(key)) {
+    return false;
+  }
+  if (
+    loggedOpenAIStrictToolDowngradeDiagnosticKeys.size >=
+    MAX_OPENAI_STRICT_TOOL_DOWNGRADE_DIAGNOSTIC_KEYS
+  ) {
+    loggedOpenAIStrictToolDowngradeDiagnosticKeys.clear();
+  }
+  loggedOpenAIStrictToolDowngradeDiagnosticKeys.add(key);
+  return true;
+}
+
 function createResponsesFirstEventTimeoutError(model: Model<Api>, timeoutMs: number): Error {
   return new Error(
     `Azure OpenAI Responses stream did not deliver a first event within ${timeoutMs}ms after HTTP streaming headers. ` +