Support Anthropic conversation logging and retries

runtime/ai_planner.py

@@ -43,6 +43,12 @@ class AIPlanner(Planner):
             history_summary=_history_summary(world),
             device_platform=context.device_platform,
         )
+        if context.step_results and not context.step_results[-1].success:
+            user_prompt += (
+                "\n\nThe previous tool call failed. Diagnose the failure and choose a "
+                "corrected action or finish the task if it cannot proceed.\n"
+                f"Previous failure: {context.step_results[-1].error or 'unknown error'}"
+            )
         decision = self.client.decide(
             system_prompt=PLANNER_SYSTEM_PROMPT,
             user_prompt=user_prompt,

runtime/task.py

@@ -187,13 +187,18 @@ class TaskRunner:
                         "failed",
                         result.error or "step failed",
                     )
-                    self._update_task(
-                        task,
-                        status="failed",
-                        completed=True,
-                        failure_reason=result.error or "step failed",
-                    )
-                    return task
+                    # AI planners can use the structured failure feedback to
+                    # correct malformed arguments or choose another action.
+                    # Deterministic planners retain their fail-fast behavior.
+                    if self.planner.__class__.__name__ != "AIPlanner":
+                        self._update_task(
+                            task,
+                            status="failed",
+                            completed=True,
+                            failure_reason=result.error or "step failed",
+                        )
+                        return task
+                    break
 
         self._emit_step_progress(
             len(context.step_results),