feat: implement native multimodal autonomous sensory capabilities

nanobot/agent/loop.py

@@ -264,6 +264,12 @@ class AgentLoop:
                 msg = await asyncio.wait_for(self.bus.consume_inbound(), timeout=1.0)
             except asyncio.TimeoutError:
                 continue
+            except asyncio.CancelledError:
+                # Preserve real task cancellation so shutdown can complete cleanly.
+                # Only ignore non-task CancelledError signals that may leak from integrations.
+                if not self._running or asyncio.current_task().cancelling():
+                    raise
+                continue
             except Exception as e:
                 logger.warning("Error consuming inbound message: {}, continuing...", e)
                 continue
@@ -466,8 +472,26 @@ class AgentLoop:
             role, content = entry.get("role"), entry.get("content")
             if role == "assistant" and not content and not entry.get("tool_calls"):
                 continue  # skip empty assistant messages — they poison session context
-            if role == "tool" and isinstance(content, str) and len(content) > self._TOOL_RESULT_MAX_CHARS:
-                entry["content"] = content[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
+            if role == "tool":
+                if isinstance(content, str) and len(content) > self._TOOL_RESULT_MAX_CHARS:
+                    entry["content"] = content[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
+                elif isinstance(content, list):
+                    filtered = []
+                    for c in content:
+                        if c.get("type") == "image_url" and c.get("image_url", {}).get("url", "").startswith("data:image/"):
+                            path = (c.get("_meta") or {}).get("path", "")
+                            placeholder = f"[image: {path}]" if path else "[image]"
+                            filtered.append({"type": "text", "text": placeholder})
+                        elif c.get("type") == "text" and isinstance(c.get("text"), str):
+                            text = c["text"]
+                            if len(text) > self._TOOL_RESULT_MAX_CHARS:
+                                text = text[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
+                            filtered.append({"type": "text", "text": text})
+                        else:
+                            filtered.append(c)
+                    if not filtered:
+                        continue
+                    entry["content"] = filtered
             elif role == "user":
                 if isinstance(content, str) and content.startswith(ContextBuilder._RUNTIME_CONTEXT_TAG):
                     # Strip the runtime-context prefix, keep only the user text.