diff --git a/CHANGELOG.md b/CHANGELOG.md
index a940daf05a1..278c6b96a1c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -47,6 +47,7 @@ Docs: https://docs.openclaw.ai
 - Cron: keep legacy string schedules and blank system-event jobs available for runtime repair/skip handling instead of dropping them as malformed persisted rows.
 - Task persistence: drop malformed array/scalar requester-origin JSON from task and task-flow SQLite sidecars instead of restoring it as delivery metadata.
 - Agents/timeouts: clarify model idle-timeout errors and docs so provider `timeoutSeconds` is shown as bounded by the whole agent/run timeout ceiling.
+- Agents/OpenAI streams: yield cooperatively while processing bursty Completions and Responses chunks, keeping aborts, channel liveness timers, and startup heartbeats responsive under noisy model output. Refs #82462.
 - Release tooling: align the published launcher Node floor, `npm start`, package script checks, sharded lint locking, Vitest root project coverage, and plugin-SDK declaration build cache metadata so release/package validation does not silently skip or ship stale surfaces.
 - Cron/agents: honor configured subagent model fallbacks for isolated scheduled runs and forward that fallback policy into embedded agent timeout failover. Fixes #74985. Thanks @chrisgwynne.
 - Codex app-server/MCP: scope user MCP servers to specific OpenClaw agent ids through an optional `mcp.servers.<name>.codex.agents` list and accept `codex.defaultToolsApprovalMode` (`auto`/`prompt`/`approve`) for native Codex approval defaults; OpenClaw strips the `codex` block before handing `mcp_servers` config to Codex. (#82180) Thanks @sercada.
diff --git a/src/agents/openai-transport-stream.test.ts b/src/agents/openai-transport-stream.test.ts
index ed8969ba5d8..0a555b061d7 100644
--- a/src/agents/openai-transport-stream.test.ts
+++ b/src/agents/openai-transport-stream.test.ts
@@ -1034,6 +1034,85 @@ describe("openai transport stream", () => {
     });
   });
 
+  it("yields to aborts during bursty OpenAI-compatible streams", async () => {
+    const model = {
+      id: "deepseek-v4-flash",
+      name: "DeepSeek V4 Flash",
+      api: "openai-completions",
+      provider: "opencode-go",
+      baseUrl: "http://localhost:8000/v1",
+      reasoning: false,
+      input: ["text"],
+      cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
+      contextWindow: 128000,
+      maxTokens: 4096,
+    } satisfies Model<"openai-completions">;
+    const output = createAssistantOutput(model);
+    const abort = new AbortController();
+    const stream = { push: vi.fn() };
+    let yieldedToTimer = false;
+
+    async function* mockStream() {
+      for (let index = 0; index < 512; index += 1) {
+        yield {
+          id: "chatcmpl-bursty",
+          object: "chat.completion.chunk" as const,
+          created: 1775425651,
+          model: model.id,
+          choices: [
+            {
+              index: 0,
+              delta: { role: "assistant" as const, content: "x" },
+              logprobs: null,
+              finish_reason: null,
+            },
+          ],
+        };
+      }
+    }
+
+    setTimeout(() => {
+      yieldedToTimer = true;
+      abort.abort();
+    }, 0);
+
+    await expect(
+      __testing.processOpenAICompletionsStream(mockStream(), output, model, stream, {
+        signal: abort.signal,
+      }),
+    ).rejects.toThrow("Request was aborted");
+    expect(yieldedToTimer).toBe(true);
+    expect(stream.push.mock.calls.length).toBeLessThan(512);
+  });
+
+  it("yields to aborts during bursty Responses streams", async () => {
+    const model = createAzureResponsesModel();
+    const output = createResponsesAssistantOutput(model);
+    const abort = new AbortController();
+    const stream = { push: vi.fn() };
+    let yieldedToTimer = false;
+
+    async function* mockStream() {
+      yield { type: "response.output_item.added", item: { type: "message" } };
+      for (let index = 0; index < 512; index += 1) {
+        yield { type: "response.output_text.delta", delta: "x" };
+      }
+    }
+
+    setTimeout(() => {
+      yieldedToTimer = true;
+      abort.abort();
+    }, 0);
+
+    await expect(
+      __testing.processResponsesStream(mockStream(), output, stream, model, {
+        signal: abort.signal,
+      }),
+    ).rejects.toThrow("Request was aborted");
+    expect(yieldedToTimer).toBe(true);
+    expect(stream.push.mock.calls.length).toBeLessThan(512);
+  });
+
   it("skips null and non-object OpenAI-compatible stream chunks", async () => {
     const model = {
       id: "glm-5",
diff --git a/src/agents/openai-transport-stream.ts b/src/agents/openai-transport-stream.ts
index f72b1f696b5..3cc8061794a 100644
--- a/src/agents/openai-transport-stream.ts
+++ b/src/agents/openai-transport-stream.ts
@@ -73,6 +73,8 @@ const DEFAULT_AZURE_OPENAI_API_VERSION = "preview";
 const OPENAI_CODEX_RESPONSES_EMPTY_INPUT_TEXT = " ";
 const GEMINI_THOUGHT_SIGNATURE_VALIDATOR_SKIP = "skip_thought_signature_validator";
 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 log = createSubsystemLogger("openai-transport");
 
 type ReplayableResponseOutputMessage = Omit<ResponseOutputMessage, "id"> & { id?: string };
@@ -92,6 +94,42 @@ type BaseStreamOptions = {
   responseFormat?: Record<string, unknown>;
 };
 
+type ModelStreamCooperativeScheduler = {
+  afterEvent: () => Promise<void>;
+};
+
+function throwIfModelStreamAborted(signal?: AbortSignal): void {
+  if (signal?.aborted) {
+    throw new Error("Request was aborted");
+  }
+}
+
+function createModelStreamCooperativeScheduler(
+  signal?: AbortSignal,
+): ModelStreamCooperativeScheduler {
+  let lastYieldedAt = Date.now();
+  let eventsSinceYield = 0;
+  return {
+    async afterEvent() {
+      throwIfModelStreamAborted(signal);
+      eventsSinceYield += 1;
+      const now = Date.now();
+      if (
+        eventsSinceYield < MODEL_STREAM_COOPERATIVE_YIELD_MAX_EVENTS &&
+        now - lastYieldedAt < MODEL_STREAM_COOPERATIVE_YIELD_INTERVAL_MS
+      ) {
+        return;
+      }
+      eventsSinceYield = 0;
+      lastYieldedAt = now;
+      await new Promise<void>((resolve) => {
+        setImmediate(resolve);
+      });
+      throwIfModelStreamAborted(signal);
+    },
+  };
+}
+
 type OpenAIResponsesOptions = BaseStreamOptions & {
   reasoning?: OpenAIReasoningEffort;
   reasoningEffort?: OpenAIReasoningEffort;
@@ -722,6 +760,7 @@ async function processResponsesStream(
       serviceTier?: ResponseCreateParamsStreaming["service_tier"],
     ) => void;
     firstEventTimeoutMs?: number;
+    signal?: AbortSignal;
   },
 ) {
   let currentItem: Record<string, unknown> | null = null;
@@ -736,7 +775,9 @@ async function processResponsesStream(
     model,
     options?.firstEventTimeoutMs,
   );
+  const cooperativeScheduler = createModelStreamCooperativeScheduler(options?.signal);
   for await (const rawEvent of guardedStream) {
+    throwIfModelStreamAborted(options?.signal);
     const event = rawEvent as Record<string, unknown>;
     const type = stringifyUnknown(event.type);
     eventCount += 1;
@@ -933,6 +974,7 @@ async function processResponsesStream(
           : "Unknown error (no error details in response)";
       throw new Error(msg);
     }
+    await cooperativeScheduler.afterEvent();
   }
   const eventTypeSummary = [...eventTypes.entries()]
     .slice(0, 12)
@@ -1141,6 +1183,7 @@ export function createOpenAIResponsesTransportStreamFn(): StreamFn {
         await processResponsesStream(responseStream, output, stream, model, {
           serviceTier: (options as OpenAIResponsesOptions | undefined)?.serviceTier,
           applyServiceTierPricing,
+          signal: options?.signal,
         });
         if (options?.signal?.aborted) {
           throw new Error("Request was aborted");
@@ -1538,6 +1581,7 @@ export function createAzureOpenAIResponsesTransportStreamFn(): StreamFn {
         stream.push({ type: "start", partial: output as never });
         await processResponsesStream(responseStream, output, stream, model, {
           firstEventTimeoutMs: AZURE_RESPONSES_FIRST_EVENT_TIMEOUT_MS,
+          signal: options?.signal,
         });
         if (options?.signal?.aborted) {
           throw new Error("Request was aborted");
@@ -1738,7 +1782,9 @@ export function createOpenAICompletionsTransportStreamFn(): StreamFn {
           buildOpenAISdkRequestOptions(model, options?.signal),
         )) as unknown as AsyncIterable<ChatCompletionChunk>;
         stream.push({ type: "start", partial: output as never });
-        await processOpenAICompletionsStream(responseStream, output, model, stream);
+        await processOpenAICompletionsStream(responseStream, output, model, stream, {
+          signal: options?.signal,
+        });
         if (options?.signal?.aborted) {
           throw new Error("Request was aborted");
         }
@@ -1760,6 +1806,7 @@ async function processOpenAICompletionsStream(
   output: MutableAssistantOutput,
   model: Model<Api>,
   stream: { push(event: unknown): void },
+  options?: { signal?: AbortSignal },
 ) {
   const MAX_POST_TOOL_CALL_BUFFER_BYTES = 256_000;
   const MAX_TOOL_CALL_ARGUMENT_BUFFER_BYTES = 256_000;
@@ -1907,8 +1954,11 @@ async function processOpenAICompletionsStream(
       appendVisibleTextDelta(part);
     }
   };
+  const cooperativeScheduler = createModelStreamCooperativeScheduler(options?.signal);
   for await (const rawChunk of responseStream as AsyncIterable<unknown>) {
+    throwIfModelStreamAborted(options?.signal);
     if (!rawChunk || typeof rawChunk !== "object") {
+      await cooperativeScheduler.afterEvent();
       continue;
     }
     const chunk = rawChunk as ChatCompletionChunk;
@@ -1918,6 +1968,7 @@ async function processOpenAICompletionsStream(
     }
     const choice = Array.isArray(chunk.choices) ? chunk.choices[0] : undefined;
     if (!choice) {
+      await cooperativeScheduler.afterEvent();
       continue;
     }
     const choiceUsage = (choice as unknown as { usage?: ChatCompletionChunk["usage"] }).usage;
@@ -1935,6 +1986,7 @@ async function processOpenAICompletionsStream(
       choice.delta ??
       (choice as unknown as { message?: ChatCompletionChunk["choices"][number]["delta"] }).message;
     if (!choiceDelta) {
+      await cooperativeScheduler.afterEvent();
       continue;
     }
     if (choiceDelta.content) {
@@ -2026,6 +2078,7 @@ async function processOpenAICompletionsStream(
       }
     }
     flushPendingPostToolCallDeltas();
+    await cooperativeScheduler.afterEvent();
   }
   flushDeepSeekTextFilterAtEnd();
   finishCurrentBlock();