Prompt sinicization (#3)

* refactor: 汉化prompt,减少gpt生成回复的冲突 (#1)

* refactor: 优化triggering_prompt

1.修改triggering_prompt，降低gpt回复格式的出错率
2.一些代码语法的修改

* refactor: 优化triggering_prompt

1.修改triggering_prompt，降低gpt回复格式的出错率
2.一些代码语法的修改

autogpt/agent/agent.py

@@ -59,9 +59,8 @@ def start_interaction_loop(self):
             # 检查是否达到了连续模式的限制
             loop_count += 1
             if (
-                cfg.continuous_mode
-                and cfg.continuous_limit > 0
-                and loop_count > cfg.continuous_limit
+                    cfg.continuous_mode
+                    and 0 < cfg.continuous_limit < loop_count
             ):
                 logger.typewriter_log(
                     "连续达到限制: ", Fore.YELLOW, f"{cfg.continuous_limit}"
@@ -80,6 +79,15 @@ def start_interaction_loop(self):
 
             assistant_reply_json = fix_json_using_multiple_techniques(assistant_reply)
 
+            if not isinstance(assistant_reply_json, dict):
+                logger.error(
+                    "=" * 20 + "\n" +
+                    f"修复JSON失败:\n"
+                    f"原始回复: {assistant_reply}\n"
+                    f"修复后的回复: {assistant_reply_json}"
+                    + "\n" + "=" * 20
+                )
+
             # 解析和验证AI的回复
             if assistant_reply_json != {}:
                 validate_json(assistant_reply_json, "llm_response_format_1")

autogpt/app.py

@@ -126,8 +126,7 @@ def execute_command(command_name: str, arguments):
             # search method
             key = CFG.google_api_key
             if key and key.strip() and key != "your-google-api-key":
-                google_result = google_official_search(arguments["input"])
-                return google_result
+                return google_official_search(arguments["input"])
             else:
                 google_result = google_search(arguments["input"])
 
@@ -256,7 +255,7 @@ def get_hyperlinks(url: str) -> Union[str, List[str]]:
 
 def shutdown() -> NoReturn:
     """Shut down the program"""
-    print("Shutting down...")
+    print("关闭中...")
     quit()
 
 

autogpt/cli.py

@@ -128,7 +128,7 @@ def main(
         next_action_count = 0
         # Make a constant:
         triggering_prompt = (
-            "确定要使用哪个下一个命令，并使用上面指定的格式进行响应："
+            "确定要使用的下一个命令，并使用上面指定的JSON格式响应:"
         )
         # 初始化内存，并确保它是空的。这对于索引和引用内存（如Pinecone内存）尤为重要
         memory = get_memory(cfg, init=True)

autogpt/localization.py

@@ -54,7 +54,8 @@
     'name': '名称',
     'agent_type': '代理人类型',
     'repository_url': '仓库网址',
-    'query': '搜索词'
+    'query': '搜索词',
+    'reason': '原因',
 }
 
 mem_type_tr: dict[str, str] = {

autogpt/prompt.py

@@ -28,20 +28,18 @@ def get_prompt() -> str:
 
     # Add constraints to the PromptGenerator object
     prompt_generator.add_constraint(
-        "~4000 word limit for short term memory. Your short term memory is short, so"
-        " immediately save important information to files."
+        "短期内存限制为4000字左右。你的短期记忆是短暂的，所以立即将重要的信息保存到文件中。"
     )
     prompt_generator.add_constraint(
-        "If you are unsure how you previously did something or want to recall past"
-        " events, thinking about similar events will help you remember."
+        "如果你不确定你以前是怎么做的，或者想回忆过去的事情，想想类似的事情会帮助你记忆。"
     )
-    prompt_generator.add_constraint("No user assistance")
-    prompt_generator.add_constraint("Please localize natural language strings in your reply to Chinese")
+    prompt_generator.add_constraint("无用户协助")
+    prompt_generator.add_constraint("请在回复中文时本地化自然语言字符串")
     prompt_generator.add_constraint(
-        'Exclusively use the commands listed in double quotes e.g. "command name"'
+        '只使用双引号中列出的命令，例如: "command name"'
     )
     prompt_generator.add_constraint(
-        "Use subprocesses for commands that will not terminate within a few minutes"
+        "将子流程用于几分钟内不会终止的命令"
     )
 
     # Define the command list
@@ -137,28 +135,26 @@ def get_prompt() -> str:
 
     # Add resources to the PromptGenerator object
     prompt_generator.add_resource(
-        "Internet access for searches and information gathering."
+        "上网搜索和收集信息。"
     )
-    prompt_generator.add_resource("Long Term memory management.")
+    prompt_generator.add_resource("长期记忆管理。")
     prompt_generator.add_resource(
-        "GPT-3.5 powered Agents for delegation of simple tasks."
+        "支持GPT-3.5的代理，用于委派简单的任务。"
     )
-    prompt_generator.add_resource("File output.")
+    prompt_generator.add_resource("文件输出。")
 
     # Add performance evaluations to the PromptGenerator object
     prompt_generator.add_performance_evaluation(
-        "Continuously review and analyze your actions to ensure you are performing to"
-        " the best of your abilities."
+        "不断地回顾和分析你的行动，以确保你发挥出了最大的能力。"
     )
     prompt_generator.add_performance_evaluation(
-        "Constructively self-criticize your big-picture behavior constantly."
+        "不断地进行建设性的自我批评。"
     )
     prompt_generator.add_performance_evaluation(
-        "Reflect on past decisions and strategies to refine your approach."
+        "反思过去的决策和策略，以改进你的方法。"
     )
     prompt_generator.add_performance_evaluation(
-        "Every command has a cost, so be smart and efficient. Aim to complete tasks in"
-        " the least number of steps."
+        "每个命令都有成本，所以要聪明和高效。以最少的步骤完成任务为目标。"
     )
 
     # Generate the prompt string

autogpt/promptgenerator.py

@@ -123,13 +123,14 @@ def generate_prompt_string(self) -> str:
         """
         formatted_response_format = json.dumps(self.response_format, indent=4)
         return (
-            f"Constraints:\n{self._generate_numbered_list(self.constraints)}\n\n"
-            "Commands:\n"
+            f"约束:\n{self._generate_numbered_list(self.constraints)}\n\n"
+            "指令:\n"
             f"{self._generate_numbered_list(self.commands, item_type='command')}\n\n"
-            f"Resources:\n{self._generate_numbered_list(self.resources)}\n\n"
-            "Performance Evaluation:\n"
+            f"资源:\n{self._generate_numbered_list(self.resources)}\n\n"
+            "绩效评估:\n"
             f"{self._generate_numbered_list(self.performance_evaluation)}\n\n"
-            "You should only respond in JSON format as described below \nResponse"
-            f" Format: \n{formatted_response_format} \nEnsure the response can be"
-            " parsed by Python json.loads"
+            "你应该只以JSON格式响应，如下所述 \n"
+            "响应格式: \n"
+            f"{formatted_response_format} \n"
+            "确保响应可以被Python json.loads解析"
         )