Merge branch 'main' of https://github.com/openclaw/openclaw

CHANGELOG.md

@@ -17,6 +17,7 @@ Docs: https://docs.openclaw.ai
 
 ### Fixes
 
+- CI: Implement pipeline and workflow order. Thanks @quotentiroler.
 - WhatsApp: preserve original filenames for inbound documents. (#12691) Thanks @akramcodez.
 - Telegram: harden quote parsing; preserve quote context; avoid QUOTE_TEXT_INVALID; avoid nested reply quote misclassification. (#12156) Thanks @rybnikov.
 - Telegram: recover proactive sends when stale topic thread IDs are used by retrying without `message_thread_id`. (#11620)
@@ -30,6 +31,7 @@ Docs: https://docs.openclaw.ai
 - Tools/web_search: normalize direct Perplexity model IDs while keeping OpenRouter model IDs unchanged. (#12795) Thanks @cdorsey.
 - Model failover: treat HTTP 400 errors as failover-eligible, enabling automatic model fallback. (#1879) Thanks @orenyomtov.
 - Errors: prevent false positive context overflow detection when conversation mentions "context overflow" topic. (#2078) Thanks @sbking.
+- Errors: avoid rewriting/swallowing normal assistant replies that mention error keywords by scoping `sanitizeUserFacingText` rewrites to error-context. (#12988) Thanks @Takhoffman.
 - Config: re-hydrate state-dir `.env` during runtime config loads so `${VAR}` substitutions remain resolvable. (#12748) Thanks @rodrigouroz.
 - Gateway: no more post-compaction amnesia; injected transcript writes now preserve Pi session `parentId` chain so agents can remember again. (#12283) Thanks @Takhoffman.
 - Gateway: fix multi-agent sessions.usage discovery. (#11523) Thanks @Takhoffman.

src/agents/pi-embedded-helpers.sanitizeuserfacingtext.test.ts

@@ -13,12 +13,12 @@ describe("sanitizeUserFacingText", () => {
   });
 
   it("sanitizes role ordering errors", () => {
-    const result = sanitizeUserFacingText("400 Incorrect role information");
+    const result = sanitizeUserFacingText("400 Incorrect role information", { errorContext: true });
     expect(result).toContain("Message ordering conflict");
   });
 
   it("sanitizes HTTP status errors with error hints", () => {
-    expect(sanitizeUserFacingText("500 Internal Server Error")).toBe(
+    expect(sanitizeUserFacingText("500 Internal Server Error", { errorContext: true })).toBe(
       "HTTP 500: Internal Server Error",
     );
   });
@@ -27,11 +27,18 @@ describe("sanitizeUserFacingText", () => {
     expect(
       sanitizeUserFacingText(
         "Context overflow: prompt too large for the model. Try again with less input or a larger-context model.",
+        { errorContext: true },
       ),
     ).toContain("Context overflow: prompt too large for the model.");
-    expect(sanitizeUserFacingText("Request size exceeds model context window")).toContain(
+    expect(
-      "Context overflow: prompt too large for the model.",
+      sanitizeUserFacingText("Request size exceeds model context window", { errorContext: true }),
-    );
+    ).toContain("Context overflow: prompt too large for the model.");
+  });
+
+  it("does not swallow assistant text that quotes the canonical context-overflow string", () => {
+    const text =
+      "Changelog note: we fixed false positives for `Context overflow: prompt too large for the model. Try again with less input or a larger-context model.` in 2026.2.9";
+    expect(sanitizeUserFacingText(text)).toBe(text);
   });
 
   it("does not rewrite conversational mentions of context overflow", () => {
@@ -48,7 +55,9 @@ describe("sanitizeUserFacingText", () => {
 
   it("sanitizes raw API error payloads", () => {
     const raw = '{"type":"error","error":{"message":"Something exploded","type":"server_error"}}';
-    expect(sanitizeUserFacingText(raw)).toBe("LLM error server_error: Something exploded");
+    expect(sanitizeUserFacingText(raw, { errorContext: true })).toBe(
+      "LLM error server_error: Something exploded",
+    );
   });
 
   it("collapses consecutive duplicate paragraphs", () => {

src/agents/pi-embedded-helpers/errors.ts

@@ -402,46 +402,51 @@ export function formatAssistantErrorText(
   return raw.length > 600 ? `${raw.slice(0, 600)}…` : raw;
 }
 
-export function sanitizeUserFacingText(text: string): string {
+export function sanitizeUserFacingText(text: string, opts?: { errorContext?: boolean }): string {
   if (!text) {
     return text;
   }
+  const errorContext = opts?.errorContext ?? false;
   const stripped = stripFinalTagsFromText(text);
   const trimmed = stripped.trim();
   if (!trimmed) {
     return stripped;
   }
 
-  if (/incorrect role information|roles must alternate/i.test(trimmed)) {
+  // Only apply error-pattern rewrites when the caller knows this text is an error payload.
-    return (
+  // Otherwise we risk swallowing legitimate assistant text that merely *mentions* these errors.
-      "Message ordering conflict - please try again. " +
+  if (errorContext) {
-      "If this persists, use /new to start a fresh session."
+    if (/incorrect role information|roles must alternate/i.test(trimmed)) {
-    );
+      return (
-  }
+        "Message ordering conflict - please try again. " +
-
+        "If this persists, use /new to start a fresh session."
-  if (shouldRewriteContextOverflowText(trimmed)) {
+      );
-    return (
-      "Context overflow: prompt too large for the model. " +
-      "Try again with less input or a larger-context model."
-    );
-  }
-
-  if (isBillingErrorMessage(trimmed)) {
-    return BILLING_ERROR_USER_MESSAGE;
-  }
-
-  if (isRawApiErrorPayload(trimmed) || isLikelyHttpErrorText(trimmed)) {
-    return formatRawAssistantErrorForUi(trimmed);
-  }
-
-  if (ERROR_PREFIX_RE.test(trimmed)) {
-    if (isOverloadedErrorMessage(trimmed) || isRateLimitErrorMessage(trimmed)) {
-      return "The AI service is temporarily overloaded. Please try again in a moment.";
     }
-    if (isTimeoutErrorMessage(trimmed)) {
+
-      return "LLM request timed out.";
+    if (shouldRewriteContextOverflowText(trimmed)) {
+      return (
+        "Context overflow: prompt too large for the model. " +
+        "Try again with less input or a larger-context model."
+      );
+    }
+
+    if (isBillingErrorMessage(trimmed)) {
+      return BILLING_ERROR_USER_MESSAGE;
+    }
+
+    if (isRawApiErrorPayload(trimmed) || isLikelyHttpErrorText(trimmed)) {
+      return formatRawAssistantErrorForUi(trimmed);
+    }
+
+    if (ERROR_PREFIX_RE.test(trimmed)) {
+      if (isOverloadedErrorMessage(trimmed) || isRateLimitErrorMessage(trimmed)) {
+        return "The AI service is temporarily overloaded. Please try again in a moment.";
+      }
+      if (isTimeoutErrorMessage(trimmed)) {
+        return "LLM request timed out.";
+      }
+      return formatRawAssistantErrorForUi(trimmed);
     }
-    return formatRawAssistantErrorForUi(trimmed);
   }
 
   return collapseConsecutiveDuplicateBlocks(stripped);

src/agents/pi-embedded-utils.test.ts

@@ -75,6 +75,19 @@ describe("extractAssistantText", () => {
     expect(result).toBe("This is a normal response without any tool calls.");
   });
 
+  it("sanitizes HTTP-ish error text only when stopReason is error", () => {
+    const msg: AssistantMessage = {
+      role: "assistant",
+      stopReason: "error",
+      errorMessage: "500 Internal Server Error",
+      content: [{ type: "text", text: "500 Internal Server Error" }],
+      timestamp: Date.now(),
+    };
+
+    const result = extractAssistantText(msg);
+    expect(result).toBe("HTTP 500: Internal Server Error");
+  });
+
   it("strips Minimax tool invocations with extra attributes", () => {
     const msg: AssistantMessage = {
       role: "assistant",

src/agents/pi-embedded-utils.ts

@@ -218,7 +218,10 @@ export function extractAssistantText(msg: AssistantMessage): string {
         .filter(Boolean)
     : [];
   const extracted = blocks.join("\n").trim();
-  return sanitizeUserFacingText(extracted);
+  // Only apply keyword-based error rewrites when the assistant message is actually an error.
+  // Otherwise normal prose that *mentions* errors (e.g. "context overflow") can get clobbered.
+  const errorContext = msg.stopReason === "error" || Boolean(msg.errorMessage?.trim());
+  return sanitizeUserFacingText(extracted, { errorContext });
 }
 
 export function extractAssistantThinking(msg: AssistantMessage): string {

src/agents/tools/sessions-helpers.test.ts

@@ -30,4 +30,14 @@ describe("extractAssistantText", () => {
     };
     expect(extractAssistantText(message)).toBe("Hi there");
   });
+
+  it("rewrites error-ish assistant text only when the transcript marks it as an error", () => {
+    const message = {
+      role: "assistant",
+      stopReason: "error",
+      errorMessage: "500 Internal Server Error",
+      content: [{ type: "text", text: "500 Internal Server Error" }],
+    };
+    expect(extractAssistantText(message)).toBe("HTTP 500: Internal Server Error");
+  });
 });

src/agents/tools/sessions-helpers.ts

@@ -389,5 +389,10 @@ export function extractAssistantText(message: unknown): string | undefined {
     }
   }
   const joined = chunks.join("").trim();
-  return joined ? sanitizeUserFacingText(joined) : undefined;
+  const stopReason = (message as { stopReason?: unknown }).stopReason;
+  const errorMessage = (message as { errorMessage?: unknown }).errorMessage;
+  const errorContext =
+    stopReason === "error" || (typeof errorMessage === "string" && Boolean(errorMessage.trim()));
+
+  return joined ? sanitizeUserFacingText(joined, { errorContext }) : undefined;
 }

src/auto-reply/reply/agent-runner-execution.ts

@@ -127,7 +127,9 @@ export async function runAgentTurnWithFallback(params: {
         if (!text) {
           return { skip: true };
         }
-        const sanitized = sanitizeUserFacingText(text);
+        const sanitized = sanitizeUserFacingText(text, {
+          errorContext: Boolean(payload.isError),
+        });
         if (!sanitized.trim()) {
           return { skip: true };
         }

src/auto-reply/reply/normalize-reply.ts

@@ -62,7 +62,7 @@ export function normalizeReplyPayload(
   }
 
   if (text) {
-    text = sanitizeUserFacingText(text);
+    text = sanitizeUserFacingText(text, { errorContext: Boolean(payload.isError) });
   }
   if (!text?.trim() && !hasMedia && !hasChannelData) {
     opts.onSkip?.("empty");