Simplify oclaw product surface: drop niche specialists and admin noise.

Remove stock/image/video specialists, Gmail watcher, CocoLoop market, desktop packaging, and extra memory plugins; disable dynamic agents and hide Session Monitor / API grants / Admin Audit from nav.

Co-authored-by: Cursor <cursoragent@cursor.com>

runtime/direct_loop.py

@@ -1191,199 +1191,14 @@ def _execute_tool_step(
     return int((time.perf_counter() - t0) * 1000), results_by_id
 
 
-def _maybe_image_specialist_legacy_gateway_turn(
-    *,
-    store: Any,
-    session_id: str,
-    turn_uuid: str,
-    lang: str,
-    model: ChatModel,
-    user_text: str,
-    attachments: list[dict[str, Any]] | None,
-    skill_binding_role: str | None,
-    on_token: Optional[Callable[[str], None]],
-    on_progress: Optional[Callable[[str], None]],
-) -> TurnRunOutcome | None:
-    """When the UI selects **image** specialist, skip Responses/chat-model transports.
-
-    Vision/gen HTTP goes through :func:`svc.llm.image_legacy_client.send_legacy_image_messages`
-    (``/chat/completions`` lane). Disable with ``AIA_IMAGE_SPECIALIST_DISABLE_LEGACY_GATEWAY_LANE=1``.
-
-    End-to-end notes and safe edit boundaries: ``docs/IMAGE_SPECIALIST_LANE.md``.
-    """
-    if str(os.getenv("AIA_IMAGE_SPECIALIST_DISABLE_LEGACY_GATEWAY_LANE") or "").strip().lower() in (
-        "1",
-        "true",
-        "yes",
-        "on",
-    ):
-        return None
-    if str(skill_binding_role or "").strip().lower() != "image":
-        return None
-
-    from svc.llm.image_legacy_client import (
-        IMAGE_SPECIALIST_DEFAULT_PROMPT_ZH,
-        collect_legacy_lane_images_with_session_fallback,
-        legacy_image_assistant_body_with_placeholder,
-        legacy_image_turn_bundle,
-        send_legacy_image_messages,
-    )
-
-    imgs, legacy_img_src = collect_legacy_lane_images_with_session_fallback(
-        store=store,
-        session_id=session_id,
-        attachments=attachments,
-    )
-    if not imgs:
-        hint_en = "Image specialist received no image input. Attach an image and try again."
-        hint_zh = "图片专家未收到可用的图片输入；请先上传或附上图片后再试。"
-        hint = hint_en if str(lang or "").startswith("en") else hint_zh
-        store.add_message(
-            session_id=session_id,
-            role="assistant",
-            content=hint,
-            turn_uuid=turn_uuid,
-            event_type="assistant_text",
-        )
-        return TurnRunOutcome(
-            final_text=hint,
-            tool_traces=tuple(),
-            handoff_note="image_specialist_legacy_missing_attachment",
-            turn_uuid=turn_uuid,
-        )
-
-    if on_progress:
-        if legacy_img_src.endswith("_history"):
-            if str(lang or "").startswith("en"):
-                on_progress("oclaw: reusing earlier session images (no new upload this turn)…")
-            else:
-                on_progress("oclaw: 本轮未上传新图，使用会话中较早的图片作为输入…")
-        on_progress("oclaw: image specialist (legacy multimodal HTTP)…")
-
-    prompt_plain = str(user_text or "").strip()
-    if not prompt_plain:
-        prompt_plain = IMAGE_SPECIALIST_DEFAULT_PROMPT_ZH
-
-    resp = send_legacy_image_messages(
-        images=imgs,
-        prompt=prompt_plain,
-        model=str(getattr(model, "model", "") or "").strip() or None,
-        api_key=str(getattr(model, "api_key", "") or "").strip() or None,
-        base_url=str(getattr(model, "base_url", "") or "").strip() or None,
-    )
-    ok, body_text, produced = legacy_image_turn_bundle(resp)
-    body_text = legacy_image_assistant_body_with_placeholder(
-        lang=lang,
-        body_text=body_text,
-        produced=produced if ok else None,
-    )
-    store.add_message(
-        session_id=session_id,
-        role="assistant",
-        content=body_text,
-        turn_uuid=turn_uuid,
-        event_type="assistant_text",
-        attachments=(produced or None) if ok else None,
-    )
-    if ok and on_token and body_text:
-        on_token(body_text)
-    return TurnRunOutcome(
-        final_text=body_text,
-        tool_traces=tuple(),
-        handoff_note="image_specialist_legacy_http" if ok else "image_specialist_legacy_upstream_failed",
-        turn_uuid=turn_uuid,
-    )
+def _maybe_image_specialist_legacy_gateway_turn(**_kwargs: Any) -> TurnRunOutcome | None:
+    """Image specialist lane removed; OCR remains via query_image_attachment."""
+    return None
 
 
-def _maybe_video_specialist_legacy_gateway_turn(
-    *,
-    store: Any,
-    session_id: str,
-    turn_uuid: str,
-    lang: str,
-    model: ChatModel,
-    user_text: str,
-    attachments: list[dict[str, Any]] | None,
-    skill_binding_role: str | None,
-    on_token: Optional[Callable[[str], None]],
-    on_progress: Optional[Callable[[str], None]],
-    should_stop: Optional[Callable[[], bool]] = None,
-) -> TurnRunOutcome | None:
-    """When the UI selects **video** specialist, skip Responses/chat-model transports.
-
-    Uses DashScope async ``video-synthesis`` (see :mod:`svc.llm.video_generation_client`).
-    With a user image (or session image fallback), sends ``input.img_url`` for **image-to-video**;
-    otherwise **text-to-video**. Disable with ``AIA_VIDEO_SPECIALIST_DISABLE_LEGACY_GATEWAY_LANE=1``.
-    """
-    if str(os.getenv("AIA_VIDEO_SPECIALIST_DISABLE_LEGACY_GATEWAY_LANE") or "").strip().lower() in (
-        "1",
-        "true",
-        "yes",
-        "on",
-    ):
-        return None
-    if str(skill_binding_role or "").strip().lower() != "video":
-        return None
-
-    from svc.llm.image_legacy_client import collect_legacy_lane_images_with_session_fallback
-    from svc.llm.video_generation_client import (
-        VIDEO_SPECIALIST_DEFAULT_PROMPT_ZH,
-        legacy_video_assistant_body_with_placeholder,
-        legacy_video_turn_bundle,
-        send_video_generation_request,
-    )
-
-    frames, frame_src = collect_legacy_lane_images_with_session_fallback(
-        store=store,
-        session_id=session_id,
-        attachments=attachments,
-        max_images=1,
-    )
-    frame_url = str(frames[0]).strip() if frames else None
-
-    if on_progress:
-        if frame_url:
-            if frame_src.endswith("_history"):
-                if str(lang or "").startswith("en"):
-                    on_progress("oclaw: reusing an earlier session image as first frame…")
-                else:
-                    on_progress("oclaw: 使用会话中较早的图片作为图生视频首帧…")
-            on_progress("oclaw: video specialist (DashScope image-to-video)…")
-        else:
-            on_progress("oclaw: video specialist (DashScope text-to-video)…")
-
-    prompt_plain = str(user_text or "").strip() or VIDEO_SPECIALIST_DEFAULT_PROMPT_ZH
-    resp = send_video_generation_request(
-        prompt=prompt_plain,
-        model=str(getattr(model, "model", "") or "").strip() or None,
-        api_key=str(getattr(model, "api_key", "") or "").strip() or None,
-        base_url=str(getattr(model, "base_url", "") or "").strip() or None,
-        img_url=frame_url,
-        on_progress=on_progress,
-        should_stop=should_stop,
-    )
-    ok, body_text, produced = legacy_video_turn_bundle(resp)
-    body_text = legacy_video_assistant_body_with_placeholder(
-        lang=lang,
-        body_text=body_text,
-        produced=produced if ok else None,
-    )
-    store.add_message(
-        session_id=session_id,
-        role="assistant",
-        content=body_text,
-        turn_uuid=turn_uuid,
-        event_type="assistant_text",
-        attachments=(produced or None) if ok else None,
-    )
-    if ok and on_token and body_text:
-        on_token(body_text)
-    return TurnRunOutcome(
-        final_text=body_text,
-        tool_traces=tuple(),
-        handoff_note="video_specialist_legacy_http" if ok else "video_specialist_legacy_upstream_failed",
-        turn_uuid=turn_uuid,
-    )
+def _maybe_video_specialist_legacy_gateway_turn(**_kwargs: Any) -> TurnRunOutcome | None:
+    """Video specialist lane removed from product surface."""
+    return None
 
 
 def run_oclaw_direct_loop(
@@ -1434,35 +1249,7 @@ def run_oclaw_direct_loop(
             turn_uuid=turn_uuid,
             event_type="user_text",
         )
-        legacy_early = _maybe_image_specialist_legacy_gateway_turn(
-            store=store,
-            session_id=session_id,
-            turn_uuid=turn_uuid,
-            lang=lang,
-            model=model,
-            user_text=str(user_text or ""),
-            attachments=attachments,
-            skill_binding_role=skill_binding_role,
-            on_token=on_token,
-            on_progress=on_progress,
-        )
-        if legacy_early is not None:
-            return legacy_early
-        video_early = _maybe_video_specialist_legacy_gateway_turn(
-            store=store,
-            session_id=session_id,
-            turn_uuid=turn_uuid,
-            lang=lang,
-            model=model,
-            user_text=str(user_text or ""),
-            attachments=attachments,
-            skill_binding_role=skill_binding_role,
-            on_token=on_token,
-            on_progress=on_progress,
-            should_stop=should_stop,
-        )
-        if video_early is not None:
-            return video_early
+        # Image/video specialist early-exit lanes removed; OCR remains via query_image_attachment.
 
     skill_exec = SkillExecutor(config=ToolExecutionConfig(max_workers=max(1, min(int(max_tool_workers or 8), 32))))
     tool_traces: list[dict[str, Any]] = []