diff --git a/lib_run_single.py b/lib_run_single.py
index 277cc04..592c9c4 100644
--- a/lib_run_single.py
+++ b/lib_run_single.py
@@ -58,7 +58,7 @@ def run_single_example(agent, env, example, max_steps, instruction, args, exampl
             with open(os.path.join(example_result_dir, f"step_{step_idx + 1}_{action_timestamp}.png"),
                       "wb") as _f:
                 _f.write(obs['screenshot'])
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -69,7 +69,7 @@ def run_single_example(agent, env, example, max_steps, instruction, args, exampl
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png",
                     "a11y_tree": obs.get("accessibility_tree") if isinstance(obs, dict) else None
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             if done:
                 logger.info("The episode is done.")
@@ -105,11 +105,11 @@ def run_single_example_human(env, example, max_steps, instruction, args, example
         _f.write(obs['screenshot'])
 
     # Save trajectory information
-    with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+    with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
         f.write(json.dumps({
             "instruction": instruction,
             "initial_state": "initial_state.png"
-        }))
+        }, ensure_ascii=False))
         f.write("\n")
 
     # Evaluate the result
@@ -159,7 +159,7 @@ def run_single_example_agi(agent, env, example, max_steps, instruction, args, ex
             if action.get('pending_checks', None):
                 del action['pending_checks']
 
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -168,7 +168,7 @@ def run_single_example_agi(agent, env, example, max_steps, instruction, args, ex
                     "done": done,
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png"
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             if done:
                 logger.info("The episode is done.")
@@ -220,7 +220,7 @@ def run_single_example_openaicua(agent, env, example, max_steps, instruction, ar
             if action.get('pending_checks', None):
                 del action['pending_checks']
 
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -229,7 +229,7 @@ def run_single_example_openaicua(agent, env, example, max_steps, instruction, ar
                     "done": done,
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png"
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             if done:
                 logger.info("The episode is done.")
@@ -329,7 +329,7 @@ def run_single_example_autoglm(agent, env, example, max_steps, instruction, args
             with open(os.path.join(example_result_dir, f"step_{step_idx + 1}_{action_timestamp}.png"),
                       "wb") as _f:
                 _f.write(obs['screenshot'])
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -339,7 +339,7 @@ def run_single_example_autoglm(agent, env, example, max_steps, instruction, args
                     "done": done,
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png"
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
 
             if done:
@@ -399,7 +399,7 @@ def run_single_example_mano(agent, env, example, max_steps, instruction, args, e
             with open(os.path.join(example_result_dir, f"step_{step_idx + 1}_{action_timestamp}.png"),
                       "wb") as _f:
                 _f.write(obs['screenshot'])
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -409,7 +409,7 @@ def run_single_example_mano(agent, env, example, max_steps, instruction, args, e
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png",
                     "response":response
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             if done:
                 logger.info("The episode is done.")
@@ -455,7 +455,7 @@ def run_single_example_uipath(agent, env, example, max_steps, instruction, args,
             with open(os.path.join(example_result_dir, f"step_{step_idx + 1}_{action_timestamp}.png"),
                       "wb") as _f:
                 _f.write(obs['screenshot'])
-            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
+            with open(os.path.join(example_result_dir, "traj.jsonl"), "a", encoding="utf-8") as f:
                 f.write(json.dumps({
                     "step_num": step_idx + 1,
                     "action_timestamp": action_timestamp,
@@ -465,7 +465,7 @@ def run_single_example_uipath(agent, env, example, max_steps, instruction, args,
                     "done": done,
                     "info": info,
                     "screenshot_file": f"step_{step_idx + 1}_{action_timestamp}.png"
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             if done:
                 logger.info("The episode is done.")
@@ -533,7 +533,7 @@ def run_single_example_os_symphony(agent, env, example, max_steps, instruction,
                     "done": done,
                     "info": info,
                     "screenshot_file": img_name
-                }))
+                }, ensure_ascii=False))
                 f.write("\n")
             with open(os.path.join(example_result_dir, f"traj_{step_idx+1}.json"), "w", encoding="utf-8") as f:
                 json.dump({