修复query input 及部分提示语

.env.template

@@ -1,88 +1,97 @@
+# 搜索OPENAI_API_KEY只设置OPENAI_API_KEY即可
+# OPENAI_API_KEY=your-openai-api-key
+
+
 ################################################################################
-### AUTO-GPT - GENERAL SETTINGS
+### AUTO-GPT - 常规设置
 ################################################################################
 
-## EXECUTE_LOCAL_COMMANDS - Allow local command execution (Default: False)
-## RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True)
-# EXECUTE_LOCAL_COMMANDS=False
-# RESTRICT_TO_WORKSPACE=True
+# EXECUTE_LOCAL_COMMANDS - 允许本地命令执行（示例：False）
+EXECUTE_LOCAL_COMMANDS=False
 
-## USER_AGENT - Define the user-agent used by the requests library to browse website (string)
-# USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"
+# RESTRICT_TO_WORKSPACE - 将文件操作限制在工作区 ./auto_gpt_workspace 中（默认为 True）
+RESTRICT_TO_WORKSPACE=True
 
-## AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml)
-# AI_SETTINGS_FILE=ai_settings.yaml
+# USER_AGENT - 定义 requests 库用于浏览网站的用户代理 (字符串)
+USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"
+
+# AI_SETTINGS_FILE - 指定要使用的 AI 设置文件（默认为 ai_settings.yaml）
+AI_SETTINGS_FILE=ai_settings.yaml
 
 ################################################################################
-### LLM PROVIDER
+### LLM提供者
 ################################################################################
 
 ### OPENAI
-## OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
-## TEMPERATURE - Sets temperature in OpenAI (Default: 0)
-## USE_AZURE - Use Azure OpenAI or not (Default: False)
+## OPENAI_API_KEY - OpenAI API 密钥（例如：my-openai-api-key）
 OPENAI_API_KEY=your-openai-api-key
-# TEMPERATURE=0
-# USE_AZURE=False
+
+## TEMPERATURE - 在 OpenAI 中设置temperature 准确性（默认为 0）0为最准 1的话返回的多样性比较多
+TEMPERATURE=0
+
+## USE_AZURE - 是否使用 Azure OpenAI（默认为 False）
+USE_AZURE=False
 
 ### AZURE
 # moved to `azure.yaml.template`
 
 ################################################################################
-### LLM MODELS
+### LLM 模型
 ################################################################################
 
-## SMART_LLM_MODEL - Smart language model (Default: gpt-4)
-## FAST_LLM_MODEL - Fast language model (Default: gpt-3.5-turbo)
-# SMART_LLM_MODEL=gpt-4
-# FAST_LLM_MODEL=gpt-3.5-turbo
+## SMART_LLM_MODEL - 智能语言模型（默认为 gpt-4）
+## FAST_LLM_MODEL - 快速语言模型（默认为 gpt-3.5-turbo）
+SMART_LLM_MODEL=gpt-4
+FAST_LLM_MODEL=gpt-3.5-turbo
 
-### LLM MODEL SETTINGS
-## FAST_TOKEN_LIMIT - Fast token limit for OpenAI (Default: 4000)
-## SMART_TOKEN_LIMIT - Smart token limit for OpenAI (Default: 8000)
-## When using --gpt3only this needs to be set to 4000.
-# FAST_TOKEN_LIMIT=4000
-# SMART_TOKEN_LIMIT=8000
+### LLM 模型设置
+## FAST_TOKEN_LIMIT - OpenAI 的快速令牌限制（默认为 4000）
+## SMART_TOKEN_LIMIT - OpenAI 的智能令牌限制（默认为 8000）
+## 当使用 --gpt3only 时，此值需要设置为 4000。
+FAST_TOKEN_LIMIT=4000
+SMART_TOKEN_LIMIT=8000
 
 ################################################################################
 ### MEMORY
 ################################################################################
 
-### MEMORY_BACKEND - Memory backend type
-## local - Default
-## pinecone - Pinecone (if configured)
-## redis - Redis (if configured)
-## milvus - Milvus (if configured)
-## MEMORY_INDEX - Name of index created in Memory backend (Default: auto-gpt)
-# MEMORY_BACKEND=local
-# MEMORY_INDEX=auto-gpt
+### MEMORY_BACKEND - 内存后端类型
+## local - 默认
+## pinecone - Pinecone（如果已配置）
+## redis - Redis（如果已配置）
+## milvus -  Milvus（如果已配置）
+## MEMORY_INDEX - 在内存后端中创建的索引名称（默认为 auto-gpt）
+
+MEMORY_BACKEND=local
+MEMORY_INDEX=auto-gpt
 
 ### PINECONE
-## PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key)
-## PINECONE_ENV - Pinecone environment (region) (Example: us-west-2)
+## PINECONE_API_KEY - Pinecone API密钥（示例：my-pinecone-api-key）
+## PINECONE_ENV - Pinecone环境（区域）（示例：us-west-2）
 # PINECONE_API_KEY=your-pinecone-api-key
 # PINECONE_ENV=your-pinecone-region
 
 ### REDIS
-## REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose)
-## REDIS_PORT - Redis port (Default: 6379)
-## REDIS_PASSWORD - Redis password (Default: "")
-## WIPE_REDIS_ON_START - Wipes data / index on start (Default: True)
+## REDIS_HOST - Redis主机（默认值：localhost，使用“redis”进行docker-compose）
+## REDIS_PORT - Redis端口（默认值：6379）
+## REDIS_PASSWORD - Redis密码（默认值：""）
+## WIPE_REDIS_ON_START - 开始时清除数据/索引（默认值：True）
 # REDIS_HOST=localhost
 # REDIS_PORT=6379
 # REDIS_PASSWORD=
 # WIPE_REDIS_ON_START=True
 
 ### WEAVIATE
-## MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage
-## WEAVIATE_HOST - Weaviate host IP
-## WEAVIATE_PORT - Weaviate host port
-## WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http')
-## USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate
-## WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate
-## WEAVIATE_USERNAME - Weaviate username
-## WEAVIATE_PASSWORD - Weaviate password
-## WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication
+## MEMORY_BACKEND - 使用 'weaviate' 使用 Weaviate 向量存储
+## WEAVIATE_HOST - Weaviate 主机 IP
+## WEAVIATE_PORT - Weaviate 主机端口
+## WEAVIATE_PROTOCOL - Weaviate 主机协议 (例如 'http')
+## USE_WEAVIATE_EMBEDDED - 是否使用嵌入式 Weaviate
+## WEAVIATE_EMBEDDED_PATH - 运行嵌入式 Weaviate 时要持久化数据的文件系统路径
+## WEAVIATE_USERNAME - Weaviate 用户名
+## WEAVIATE_PASSWORD - Weaviate 密码
+## WEAVIATE_API_KEY - 如果使用基于 API 密钥的身份验证，则使用 Weaviate API 密钥
+
 # WEAVIATE_HOST="127.0.0.1"
 # WEAVIATE_PORT=8080
 # WEAVIATE_PROTOCOL="http"
@@ -93,89 +102,90 @@ OPENAI_API_KEY=your-openai-api-key
 # WEAVIATE_API_KEY=
 
 ### MILVUS
-## MILVUS_ADDR - Milvus remote address (e.g. localhost:19530)
-## MILVUS_COLLECTION - Milvus collection,
-## change it if you want to start a new memory and retain the old memory.
+## MILVUS_ADDR - Milvus 远程地址 (例如 localhost:19530)
+## MILVUS_COLLECTION - Milvus 集合,
+## 如果您想启动一个新的内存并保留旧的内存，请更改它。
 # MILVUS_ADDR=your-milvus-cluster-host-port
 # MILVUS_COLLECTION=autogpt
 
 ################################################################################
-### IMAGE GENERATION PROVIDER
+### 图像生成提供者
 ################################################################################
 
 ### OPEN AI
-## IMAGE_PROVIDER - Image provider (Example: dalle)
-## IMAGE_SIZE - Image size (Example: 256)
+## IMAGE_PROVIDER - 图像提供商（例如：dalle）
+## IMAGE_SIZE - 图像尺寸（例如：256）
 ##   DALLE: 256, 512, 1024
 # IMAGE_PROVIDER=dalle
 # IMAGE_SIZE=256
 
 ### HUGGINGFACE
-## HUGGINGFACE_IMAGE_MODEL - Text-to-image model from Huggingface (Default: CompVis/stable-diffusion-v1-4)
-## HUGGINGFACE_API_TOKEN - HuggingFace API token (Example: my-huggingface-api-token)
+## HUGGINGFACE_IMAGE_MODEL -  Huggingface的文本转图像模型（默认值：CompVis/stable-diffusion-v1-4）
+## HUGGINGFACE_API_TOKEN - HuggingFace API令牌（例如：my-huggingface-api-token）
 # HUGGINGFACE_IMAGE_MODEL=CompVis/stable-diffusion-v1-4
 # HUGGINGFACE_API_TOKEN=your-huggingface-api-token
 
 ### STABLE DIFFUSION WEBUI
-## SD_WEBUI_AUTH - Stable diffusion webui username:password pair (Example: username:password)
-## SD_WEBUI_URL - Stable diffusion webui API URL (Example: http://127.0.0.1:7860)
+## SD_WEBUI_AUTH - Stable diffusion webui的用户名和密码，例如username:password
+## SD_WEBUI_URL - Stable diffusion webui的API URL，例如http://127.0.0.1:7860
 # SD_WEBUI_AUTH=
 # SD_WEBUI_URL=http://127.0.0.1:7860
 
 ################################################################################
-### AUDIO TO TEXT PROVIDER
+### 音频到文本提供者
 ################################################################################
 
 ### HUGGINGFACE
 # HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h
 
 ################################################################################
-### GIT Provider for repository actions
+### 用于仓库操作的Git提供者
 ################################################################################
 
 ### GITHUB
-## GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123)
-## GITHUB_USERNAME - Github username
+## GITHUB_API_KEY - Github API密钥/PAT（示例：github_pat_123）
+## GITHUB_USERNAME - Github用户名
 # GITHUB_API_KEY=github_pat_123
 # GITHUB_USERNAME=your-github-username
 
 ################################################################################
-### WEB BROWSING
+### WEB 浏览器
 ################################################################################
 
 ### BROWSER
-## HEADLESS_BROWSER - Whether to run the browser in headless mode (default: True)
-## USE_WEB_BROWSER - Sets the web-browser driver to use with selenium (default: chrome).
-##   Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser
-# HEADLESS_BROWSER=True
-# USE_WEB_BROWSER=chrome
-## BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunks to summarize (in number of tokens, excluding the response. 75 % of FAST_TOKEN_LIMIT is usually wise )
+## HEADLESS_BROWSER - 是否在无头模式下运行浏览器 (默认值：True)
+## USE_WEB_BROWSER - 设置要与Selenium一起使用的Web浏览器驱动程序 (默认值：chrome)
+##   注意：根据您当前的浏览器，将其设置为'chrome'，'firefox'或'safari'
+HEADLESS_BROWSER=False
+USE_WEB_BROWSER=chrome
+
+## BROWSE_CHUNK_MAX_LENGTH - 在浏览网站时，定义要总结的块的长度（以标记数量计，不包括响应。通常明智的是FAST_TOKEN_LIMIT的75％）
 # BROWSE_CHUNK_MAX_LENGTH=3000
-## BROWSE_SPACY_LANGUAGE_MODEL is used to split sentences. Install additional languages via pip, and set the model name here. Example Chinese:  python -m spacy download zh_core_web_sm
+## BROWSE_SPACY_LANGUAGE_MODEL 用于拆分句子。通过pip安装其他语言，并在此处设置模型名称。例如：python -m spacy download zh_core_web_sm
 # BROWSE_SPACY_LANGUAGE_MODEL=en_core_web_sm
 
 ### GOOGLE
-## GOOGLE_API_KEY - Google API key (Example: my-google-api-key)
-## CUSTOM_SEARCH_ENGINE_ID - Custom search engine ID (Example: my-custom-search-engine-id)
+## GOOGLE_API_KEY - 谷歌API密钥 (Example: my-google-api-key)
+## CUSTOM_SEARCH_ENGINE_ID - 自定义搜索引擎ID (Example: my-custom-search-engine-id)
 # GOOGLE_API_KEY=your-google-api-key
 # CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id
 
 ################################################################################
-### TTS PROVIDER
+### TTS 提供者
 ################################################################################
 
 ### MAC OS
-## USE_MAC_OS_TTS - Use Mac OS TTS or not (Default: False)
+## USE_MAC_OS_TTS - 是否使用Mac OS TTS（默认：False）
 # USE_MAC_OS_TTS=False
 
 ### STREAMELEMENTS
-## USE_BRIAN_TTS - Use Brian TTS or not (Default: False)
+## USE_BRIAN_TTS - 是否使用Brian TTS（默认：False）
 # USE_BRIAN_TTS=False
 
 ### ELEVENLABS
-## ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key)
-## ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1)
-## ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2)
+## ELEVENLABS_API_KEY - Eleven Labs API密钥（示例：my-elevenlabs-api-key）
+## ELEVENLABS_VOICE_1_ID - Eleven Labs语音1的ID（示例：my-voice-id-1）
+## ELEVENLABS_VOICE_2_ID -  Eleven Labs语音2的ID（示例：my-voice-id-2）
 # ELEVENLABS_API_KEY=your-elevenlabs-api-key
 # ELEVENLABS_VOICE_1_ID=your-voice-id-1
 # ELEVENLABS_VOICE_2_ID=your-voice-id-2

autogpt/agent/agent.py

@@ -116,7 +116,7 @@ def start_interaction_loop(self):
                         user_input = "GENERATE NEXT COMMAND JSON"
                         break
                     elif console_input.lower().strip() == "":
-                        print("Invalid input format.")
+                        print("输入格式无效。")
                         continue
                     elif console_input.lower().startswith("y -"):
                         try:
@@ -160,7 +160,7 @@ def start_interaction_loop(self):
                     f"Command {command_name} 抛出以下错误: {arguments}"
                 )
             elif command_name == "human_feedback":
-                result = f"Human feedback: {user_input}"
+                result = f"人工反馈: {user_input}"
             else:
                 result = (
                     f"Command {command_name} returned: "

autogpt/app.py

@@ -126,10 +126,10 @@ 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["query"])
+                google_result = google_official_search(arguments["input"])
                 return google_result
             else:
-                google_result = google_search(arguments["query"])
+                google_result = google_search(arguments["input"])
 
             # google_result can be a list or a string depending on the search results
             if isinstance(google_result, list):

autogpt/cli.py

@@ -103,16 +103,16 @@ def main(
         logger.set_level(logging.DEBUG if cfg.debug_mode else logging.INFO)
         ai_name = ""
         if not cfg.skip_news:
-            motd = get_latest_bulletin()
-            if motd:
-                logger.typewriter_log("NEWS: ", Fore.GREEN, motd)
+            # motd = get_latest_bulletin()
+            # if motd:
+            #     logger.typewriter_log("NEWS: ", Fore.GREEN, motd)
             git_branch = get_current_git_branch()
-            if git_branch and git_branch != "stable":
-                logger.typewriter_log(
-                    "警告：",
-                    Fore.RED,
-                    f"您正在运行 {git_branch} 分支 - 这不是受支持的分支。",
-                )
+            # if git_branch and git_branch != "stable":
+            #     logger.typewriter_log(
+            #         "警告：",
+            #         Fore.RED,
+            #         f"您正在运行 {git_branch} 分支 - 这不是受支持的分支。",
+            #     )
             if sys.version_info < (3, 10):
                 logger.typewriter_log(
                     "警告：",
@@ -134,7 +134,7 @@ def main(
         logger.typewriter_log(
             "使用存储类型:", Fore.GREEN, f"{memory.__class__.__name__}"
         )
-        logger.typewriter_log("使用浏览器r:", Fore.GREEN, cfg.selenium_web_browser)
+        logger.typewriter_log("使用浏览器:", Fore.GREEN, cfg.selenium_web_browser)
         agent = Agent(
             ai_name=ai_name,
             memory=memory,

autogpt/commands/file_operations.py

@@ -144,7 +144,7 @@ def write_to_file(filename: str, text: str) -> str:
         str: A message indicating success or failure
     """
     if check_duplicate_operation("write", filename):
-        return "Error: File has already been updated."
+        return "Error: 文件已经被更新."
     try:
         filepath = path_in_workspace(filename)
         directory = os.path.dirname(filepath)
@@ -153,7 +153,7 @@ def write_to_file(filename: str, text: str) -> str:
         with open(filepath, "w", encoding="utf-8") as f:
             f.write(text)
         log_operation("write", filename)
-        return "File written to successfully."
+        return "文件已成功写入."
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -176,7 +176,7 @@ def append_to_file(filename: str, text: str, shouldLog: bool = True) -> str:
         if shouldLog:
             log_operation("append", filename)
 
-        return "Text appended successfully."
+        return "文本已成功追加."
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -191,12 +191,12 @@ def delete_file(filename: str) -> str:
         str: A message indicating success or failure
     """
     if check_duplicate_operation("delete", filename):
-        return "Error: File has already been deleted."
+        return "Error: 文件已被删除."
     try:
         filepath = path_in_workspace(filename)
         os.remove(filepath)
         log_operation("delete", filename)
-        return "File deleted successfully."
+        return "文件已成功删除."
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -235,7 +235,7 @@ def download_file(url, filename):
     """
     safe_filename = path_in_workspace(filename)
     try:
-        message = f"{Fore.YELLOW}Downloading file from {Back.LIGHTBLUE_EX}{url}{Back.RESET}{Fore.RESET}"
+        message = f"{Fore.YELLOW}下载文件: {Back.LIGHTBLUE_EX}{url}{Back.RESET}{Fore.RESET}"
         with Spinner(message) as spinner:
             session = requests.Session()
             retry = Retry(total=3, backoff_factor=1, status_forcelist=[502, 503, 504])
@@ -260,8 +260,8 @@ def download_file(url, filename):
                         progress = f"{readable_file_size(downloaded_size)} / {readable_file_size(total_size)}"
                         spinner.update_message(f"{message} {progress}")
 
-            return f'Successfully downloaded and locally stored file: "{filename}"! (Size: {readable_file_size(total_size)})'
+            return f'已成功下载并本地存储文件："{filename}"！ (文件大小：{readable_file_size(total_size)})'
     except requests.HTTPError as e:
-        return f"Got an HTTP Error whilst trying to download file: {e}"
+        return f"尝试下载文件时发生HTTP错误: {e}"
     except Exception as e:
         return "Error: " + str(e)