本地部署时，执行tool出错

[hbxmao]

按照此教程配置好环境https://github.com/modelscope/modelscope-agent/blob/master/docs/local_deploy.md，执行时tool如何调用？比如我配置这个“语音生成”的tool，远程调用api，会有如下错误。

错误日志如下
2024-03-06 17:06:43.901 - modelscope-agent - INFO - | message: using builder model qwen1.5-4b-chat | uuid: local_user | details: {} | step: | error:
2024-03-06 17:06:46,909 - modelscope - WARNING - Model revision not specified, use revision: v1.1.0
2024-03-06 17:06:47,418 - modelscope - INFO - initiate model from /mnt/workspace/.cache/modelscope/damo/nlp_gte_sentence-embedding_chinese-base
2024-03-06 17:06:47,418 - modelscope - INFO - initiate model from location /mnt/workspace/.cache/modelscope/damo/nlp_gte_sentence-embedding_chinese-base.
2024-03-06 17:06:47,421 - modelscope - INFO - initialize model from /mnt/workspace/.cache/modelscope/damo/nlp_gte_sentence-embedding_chinese-base
2024-03-06 17:06:48,974 - modelscope - WARNING - No preprocessor field found in cfg.
2024-03-06 17:06:48,974 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file.
2024-03-06 17:06:48,974 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mnt/workspace/.cache/modelscope/damo/nlp_gte_sentence-embedding_chinese-base'}. trying to build by task and model information.
2024-03-06 17:06:49,012 - modelscope - WARNING - No preprocessor field found in cfg.
2024-03-06 17:06:49,012 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file.
2024-03-06 17:06:49,012 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mnt/workspace/.cache/modelscope/damo/nlp_gte_sentence-embedding_chinese-base', 'sequence_length': 128}. trying to build by task and model information.
2024-03-06 17:06:49.122 - modelscope-agent - INFO - | message: using model qwen1.5-4b-chat | uuid: local_user | details: {'model_config': {'type': 'openai', 'model': 'qwen/Qwen1.5-4B-Chat', 'api_base': 'http://localhost:8000/v1', 'is_chat': True, 'is_function_call': False, 'generate_cfg': {'top_p': 0.5, 'stop': 'Observation'}}} | step: | error:
2024-03-06 17:06:49.155 - modelscope-agent - ERROR - | message: | uuid: local_user | details: {'error_traceback': 'Traceback (most recent call last):\n File "/data/work/modelscope-agent/apps/agentfabric/app.py", line 31, in init_user\n user_agent, user_memory = init_user_chatbot_agent(uuid_str)\n File "/data/work/modelscope-agent/apps/agentfabric/user_core.py", line 42, in init_user_chatbot_agent\n agent = RolePlay(\n File "/data/work/modelscope-agent/modelscope_agent/agent.py", line 47, in init\n self._register_tool(function)\n File "/data/work/modelscope-agent/modelscope_agent/agent.py", line 109, in _register_tool\n self.function_map[tool_name] = TOOL_REGISTRYtool_name\n File "/data/work/modelscope-agent/modelscope_agent/tools/modelscope_tools/pipeline_tool.py", line 29, in init\n assert self.api_token is not None, 'api_token is not set'\nAssertionError: api_token is not set\n'} | step: | error: api_token is not set

同时，请问调用本地tool有例程吗？

[mushenL]

您好，从您的报错信息上来看，应该是是您这边没有在环境变量上设置相应的api_token,您可以设置MODELSCOPE_API_TOKEN这个环境变量，关于每个tool中所使用的api_token在readme.md上都有说明，您可以参考，至于您说的本地调用tool，您可以参考本地部署模型服务的方式，将tool所使用的模型在您本地部署成服务，然后将配置文件里面的url改为您的服务接口即可，如果您需要本地直接加载，modelscope_agent/tools/modelscope_tools/pipeline_tool.py 上有开放_local_call接口函数，但是需要您自己适配tool模型

[hbxmao]

您好，从您的报错信息上来看，应该是是您这边没有在环境变量上设置相应的api_token,您可以设置MODELSCOPE_API_TOKEN这个环境变量，关于每个tool中所使用的api_token在readme.md上都有说明，您可以参考，至于您说的本地调用tool，您可以参考本地部署模型服务的方式，将tool所使用的模型在您本地部署成服务，然后将配置文件里面的url改为您的服务接口即可，如果您需要本地直接加载，modelscope_agent/tools/modelscope_tools/pipeline_tool.py 上有开放_local_call接口函数，但是需要您自己适配tool模型

如果不采用模型，采用本地tool（exe）或者api函数（dll）等方式，如何接入？

[mushenL]

暂时不支持，可能需要您参考 modelscope_agent/tools/modelscope_tools/pipeline_tool.py 相关的call函数自行适配

[zzhangpurdue]

您好，从您的报错信息上来看，应该是是您这边没有在环境变量上设置相应的api_token,您可以设置MODELSCOPE_API_TOKEN这个环境变量，关于每个tool中所使用的api_token在readme.md上都有说明，您可以参考，至于您说的本地调用tool，您可以参考本地部署模型服务的方式，将tool所使用的模型在您本地部署成服务，然后将配置文件里面的url改为您的服务接口即可，如果您需要本地直接加载，modelscope_agent/tools/modelscope_tools/pipeline_tool.py 上有开放_local_call接口函数，但是需要您自己适配tool模型

如果不采用模型，采用本地tool（exe）或者api函数（dll）等方式，如何接入？

如果您能把对应的exe或者dll变成服务进行部署，也是可以调用的。
或者您新建一个tool，并在tool上实现子进程的调用，并监控子进程的结果。

[cgwyx]

本地文生图服务已开启，但修改这个文件modelscope-agent\apps\agentfabric\config\tool_config.json

"image_gen": {
"name": "Wanx Image Generation",
"url": "http://localhost:8000/v1",
"is_active": true,
"use": true,
"is_remote_tool": true
也无法调用本地文生图tool

[zzhangpurdue]

本地文生图服务已开启，但修改这个文件modelscope-agent\apps\agentfabric\config\tool_config.json

"image_gen": { "name": "Wanx Image Generation", "url": "http://localhost:8000/v1", "is_active": true, "use": true, "is_remote_tool": true 也无法调用本地文生图tool

报错信息有么？我们跟进一下。

[cgwyx]

本地文生图服务已开启，但修改这个文件modelscope-agent\apps\agentfabric\config\tool_config.json
"image_gen": { "name": "Wanx Image Generation", "url": "http://localhost:8000/v1", "is_active": true, "use": true, "is_remote_tool": true 也无法调用本地文生图tool

报错信息有么？我们跟进一下。

不报错，就是无法调用本地文生图API,
2024-03-21 09:58:27.817 - modelscope-agent - INFO - | message: frame | uuid: local_user | details: {'frame': "{'exec_result': {'result': Config (path: /tmp/agentfabric/config/local_user/builder_config.json): {'name': '文生图创作助手', 'avatar': 'custom_bot_avatar.png', 'description': '一个能将输入文本转化为对应视觉图像的智能创作工具', 'instruction': '根据用户提供的文本描述生成相应风格和主题的图像；支持多种应用场景如艺术创作、商业设计与数据可视化', 'prompt_recommend': ['生成 一张关于夏天海滩的图片', '将这段描述转化为一幅卡通画', '依据这段文字制作一张信息图表'], 'knowledge': [], 'tools': {'image_gen': {'name': 'Wanx Image Generation', 'url': 'http://127.0.0.1:8889/v1/generation/text-to-image', 'is_active': True, 'use': True, 'is_remote_tool': False}, 'code_interpreter': {'name': 'Code Interpreter', 'is_active': True, 'use': False, 'is_remote_tool': False, 'max_output': 2000}, 'web_browser

[cgwyx]

修改modelscope-agent\apps\agentfabric\config文件增加fooocus_image_gen这个tool,开启fooocus-api(命令行可以正常调用)，AgentFabric也无法调用。

"fooocus_image_gen": {
"name": "fooocus Image Generation",
"url": "http://127.0.0.1:8889/v1/generation/text-to-image",
"is_active": true,
"use": true,
"is_remote_tool": true
},

报错：
2024-03-21 14:49:13.448 - modelscope-agent - INFO - | message: builder_cfg | uuid: local_user | details: {'builder_cfg': "Config (path: /tmp/agentfabric/config/local_user/builder_config.json): {'name': '文生图-人物写实助手', 'avatar': 'custom_bot_avatar.png', 'description': '一款专门针对人物写实风格设计的AI-Agent，能够精准地将用户输入的文字描述转换为逼真的 人物画像，适用于肖像创作、个性化定制和虚拟形象生成等多种场景。', 'instruction': '深度理解并精确捕捉用户输入文本中的人物 特征与细节；运用先进的图像生成技术，确保生成的人物图像具有高度的写实性与艺术感染力', 'prompt_recommend': ['请根据这个人 物描述生成一张写实风格的肖像画', '我想看一幅描绘我朋友特点的写实风格画作', '基于这段小说主角描述创建一张生动的肖像', '能否按照历史人物记载生成其写实画像？'], 'knowledge': [], 'tools': {'image_gen': {'name': 'Wanx Image Generation', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'fooocus_image_gen': {'name': 'fooocus Image Generation', 'url': 'http://127.0.0.1:8889/v1/generation/text-to-image', 'is_active': True, 'use': True, 'is_remote_tool': True}, 'code_interpreter': {'name': 'Code Interpreter', 'is_active': True, 'use': False, 'is_remote_tool': False, 'max_output': 2000}, 'web_browser': {'name': 'Web Browsing', 'is_active': True, 'use': False, 'max_browser_length': 2000}, 'amap_weather': {'name': '高德天气', 'is_active': True, 'use': False}, 'paraformer_asr': {'name': 'Paraformer语音识别', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'sambert_tts': {'name': 'Sambert语音合成', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'wordart_texture_generation': {'name': '艺术字纹理生成', 'is_active': True, 'use': False}, 'web_search': {'name': 'Web Searching', 'is_active': True, 'use': False, 'searcher': 'bing'}, 'qwen_vl': {'name': 'Qwen-VL识图', 'is_active': True, 'use': False}, 'style_repaint': {'name': '人物风格重绘', 'is_active': True, 'use': False}, 'image_enhancement': {'name': '追影-放大镜', 'is_active': True, 'use': False}, 'text-address': {'name': '地址解析', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/mgeo_geographic_elements_tagging_chinese_base', 'use': False, 'is_active': True, 'is_remote_tool': True}, 'speech-generation': {'name': '语音生成', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/speech_sambert-hifigan_tts_zh-cn_16k', 'use': False, 'is_active': True, 'is_remote_tool': False}, 'video-generation': {'name': '视频生成', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/text-to-video-synthesis', 'use': False, 'is_active': True, 'is_remote_tool': True}}, 'model': 'qwen-max', 'language': 'zh'}"} | step: | error:
2024-03-21 14:49:13.517 - modelscope-agent - INFO - | message: using model qwen-max | uuid: local_user | details: {'model_config': {'type': 'dashscope', 'model': 'qwen-max', 'length_constraint': {'knowledge': 4000, 'input': 6000}, 'generate_cfg': {'use_raw_prompt': True, 'top_p': 0.5, 'stop': 'Observation'}}} | step: | error:
2024-03-21 14:49:13.524 - modelscope-agent - ERROR - | message: | uuid: local_user | details: {'error_traceback': 'Traceback (most recent call last):\n File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 31, in init_user\n user_agent, user_memory = init_user_chatbot_agent(uuid_str)\n File "/agentfabric/modelscope-agent/apps/agentfabric/user_core.py", line 42, in init_user_chatbot_agent\n agent = RolePlay(\n File "/agentfabric/modelscope-agent/modelscope_agent/agent.py", line 47, in init\n self._register_tool(function)\n File "/agentfabric/modelscope-agent/modelscope_agent/agent.py", line 111, in _register_tool\n raise NotImplementedError\nNotImplementedError\n'} | step: | error:
2024-03-21 14:49:13.567 - modelscope-agent - INFO - | message: using builder model qwen-max | uuid: local_user | details: {} | step: | error:
2024-03-21 14:49:14,435 - modelscope - WARNING - Model revision not specified, use revision: v1.1.0
2024-03-21 14:49:14,852 - modelscope - INFO - initiate model from /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base
2024-03-21 14:49:14,859 - modelscope - INFO - initiate model from location /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base.
2024-03-21 14:49:14,896 - modelscope - INFO - initialize model from /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base
2024-03-21 14:49:23,898 - modelscope - WARNING - No preprocessor field found in cfg.
2024-03-21 14:49:23,899 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file.
2024-03-21 14:49:23,899 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base'}. trying to build by task and model information.
2024-03-21 14:49:24,124 - modelscope - WARNING - No preprocessor field found in cfg.
2024-03-21 14:49:24,124 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file.
2024-03-21 14:49:24,124 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base', 'sequence_length': 128}. trying to build by task and model information.
Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 456, in call_prediction
output = await route_utils.call_process_api(
File "/opt/conda/lib/python3.10/site-packages/gradio/route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1522, in process_api
result = await self.call_function(
File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1156, in call_function
prediction = await utils.async_iteration(iterator)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 515, in async_iteration
return await iterator.anext()
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 508, in anext
return await anyio.to_thread.run_sync(
File "/opt/conda/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2134, in run_sync_in_worker_thread
return await future
File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 851, in run
result = context.run(func, *args)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 491, in run_sync_iterator_async
return next(iterator)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 662, in gen_wrapper
yield from f(*args, **kwargs)
File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 551, in preview_send_message
user_agent = _state['user_agent']
KeyError: 'user_agent'
Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 456, in call_prediction
output = await route_utils.call_process_api(
File "/opt/conda/lib/python3.10/site-packages/gradio/route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1522, in process_api
result = await self.call_function(
File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1156, in call_function
prediction = await utils.async_iteration(iterator)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 515, in async_iteration
return await iterator.anext()
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 508, in anext
return await anyio.to_thread.run_sync(
File "/opt/conda/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2134, in run_sync_in_worker_thread
return await future
File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 851, in run
result = context.run(func, *args)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 491, in run_sync_iterator_async
return next(iterator)
File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 662, in gen_wrapper
yield from f(*args, **kwargs)
File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 551, in preview_send_message
user_agent = _state['user_agent']
KeyError: 'user_agent'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 501, in process_events
response = await self.call_prediction(awake_events, batch)
File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 465, in call_prediction
raise Exception(str(error) if show_error else None) from error
Exception: 'user_agent'

[RookieDay]

修改modelscope-agent\apps\agentfabric\config文件增加fooocus_image_gen这个tool,开启fooocus-api(命令行可以正常调用)，AgentFabric也无法调用。

"fooocus_image_gen": { "name": "fooocus Image Generation", "url": "http://127.0.0.1:8889/v1/generation/text-to-image", "is_active": true, "use": true, "is_remote_tool": true },

报错： 2024-03-21 14:49:13.448 - modelscope-agent - INFO - | message: builder_cfg | uuid: local_user | details: {'builder_cfg': "Config (path: /tmp/agentfabric/config/local_user/builder_config.json): {'name': '文生图-人物写实助手', 'avatar': 'custom_bot_avatar.png', 'description': '一款专门针对人物写实风格设计的AI-Agent，能够精准地将用户输入的文字描述转换为逼真的 人物画像，适用于肖像创作、个性化定制和虚拟形象生成等多种场景。', 'instruction': '深度理解并精确捕捉用户输入文本中的人物 特征与细节；运用先进的图像生成技术，确保生成的人物图像具有高度的写实性与艺术感染力', 'prompt_recommend': ['请根据这个人 物描述生成一张写实风格的肖像画', '我想看一幅描绘我朋友特点的写实风格画作', '基于这段小说主角描述创建一张生动的肖像', '能否按照历史人物记载生成其写实画像？'], 'knowledge': [], 'tools': {'image_gen': {'name': 'Wanx Image Generation', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'fooocus_image_gen': {'name': 'fooocus Image Generation', 'url': 'http://127.0.0.1:8889/v1/generation/text-to-image', 'is_active': True, 'use': True, 'is_remote_tool': True}, 'code_interpreter': {'name': 'Code Interpreter', 'is_active': True, 'use': False, 'is_remote_tool': False, 'max_output': 2000}, 'web_browser': {'name': 'Web Browsing', 'is_active': True, 'use': False, 'max_browser_length': 2000}, 'amap_weather': {'name': '高德天气', 'is_active': True, 'use': False}, 'paraformer_asr': {'name': 'Paraformer语音识别', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'sambert_tts': {'name': 'Sambert语音合成', 'is_active': True, 'use': False, 'is_remote_tool': True}, 'wordart_texture_generation': {'name': '艺术字纹理生成', 'is_active': True, 'use': False}, 'web_search': {'name': 'Web Searching', 'is_active': True, 'use': False, 'searcher': 'bing'}, 'qwen_vl': {'name': 'Qwen-VL识图', 'is_active': True, 'use': False}, 'style_repaint': {'name': '人物风格重绘', 'is_active': True, 'use': False}, 'image_enhancement': {'name': '追影-放大镜', 'is_active': True, 'use': False}, 'text-address': {'name': '地址解析', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/mgeo_geographic_elements_tagging_chinese_base', 'use': False, 'is_active': True, 'is_remote_tool': True}, 'speech-generation': {'name': '语音生成', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/speech_sambert-hifigan_tts_zh-cn_16k', 'use': False, 'is_active': True, 'is_remote_tool': False}, 'video-generation': {'name': '视频生成', 'url': 'https://api-inference.modelscope.cn/api-inference/v1/models/damo/text-to-video-synthesis', 'use': False, 'is_active': True, 'is_remote_tool': True}}, 'model': 'qwen-max', 'language': 'zh'}"} | step: | error: 2024-03-21 14:49:13.517 - modelscope-agent - INFO - | message: using model qwen-max | uuid: local_user | details: {'model_config': {'type': 'dashscope', 'model': 'qwen-max', 'length_constraint': {'knowledge': 4000, 'input': 6000}, 'generate_cfg': {'use_raw_prompt': True, 'top_p': 0.5, 'stop': 'Observation'}}} | step: | error: 2024-03-21 14:49:13.524 - modelscope-agent - ERROR - | message: | uuid: local_user | details: {'error_traceback': 'Traceback (most recent call last):\n File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 31, in init_user\n user_agent, user_memory = init_user_chatbot_agent(uuid_str)\n File "/agentfabric/modelscope-agent/apps/agentfabric/user_core.py", line 42, in init_user_chatbot_agent\n agent = RolePlay(\n File "/agentfabric/modelscope-agent/modelscope_agent/agent.py", line 47, in init\n self._register_tool(function)\n File "/agentfabric/modelscope-agent/modelscope_agent/agent.py", line 111, in _register_tool\n raise NotImplementedError\nNotImplementedError\n'} | step: | error: 2024-03-21 14:49:13.567 - modelscope-agent - INFO - | message: using builder model qwen-max | uuid: local_user | details: {} | step: | error: 2024-03-21 14:49:14,435 - modelscope - WARNING - Model revision not specified, use revision: v1.1.0 2024-03-21 14:49:14,852 - modelscope - INFO - initiate model from /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base 2024-03-21 14:49:14,859 - modelscope - INFO - initiate model from location /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base. 2024-03-21 14:49:14,896 - modelscope - INFO - initialize model from /mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base 2024-03-21 14:49:23,898 - modelscope - WARNING - No preprocessor field found in cfg. 2024-03-21 14:49:23,899 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file. 2024-03-21 14:49:23,899 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base'}. trying to build by task and model information. 2024-03-21 14:49:24,124 - modelscope - WARNING - No preprocessor field found in cfg. 2024-03-21 14:49:24,124 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file. 2024-03-21 14:49:24,124 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': '/mdscope/modelscope_cache/damo/nlp_gte_sentence-embedding_chinese-base', 'sequence_length': 128}. trying to build by task and model information. Traceback (most recent call last): File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 456, in call_prediction output = await route_utils.call_process_api( File "/opt/conda/lib/python3.10/site-packages/gradio/route_utils.py", line 232, in call_process_api output = await app.get_blocks().process_api( File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1522, in process_api result = await self.call_function( File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1156, in call_function prediction = await utils.async_iteration(iterator) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 515, in async_iteration return await iterator.anext() File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 508, in anext return await anyio.to_thread.run_sync( File "/opt/conda/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2134, in run_sync_in_worker_thread return await future File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 491, in run_sync_iterator_async return next(iterator) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 662, in gen_wrapper yield from f(*args, **kwargs) File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 551, in preview_send_message user_agent = _state['user_agent'] KeyError: 'user_agent' Traceback (most recent call last): File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 456, in call_prediction output = await route_utils.call_process_api( File "/opt/conda/lib/python3.10/site-packages/gradio/route_utils.py", line 232, in call_process_api output = await app.get_blocks().process_api( File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1522, in process_api result = await self.call_function( File "/opt/conda/lib/python3.10/site-packages/gradio/blocks.py", line 1156, in call_function prediction = await utils.async_iteration(iterator) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 515, in async_iteration return await iterator.anext() File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 508, in anext return await anyio.to_thread.run_sync( File "/opt/conda/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2134, in run_sync_in_worker_thread return await future File "/opt/conda/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 851, in run result = context.run(func, *args) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 491, in run_sync_iterator_async return next(iterator) File "/opt/conda/lib/python3.10/site-packages/gradio/utils.py", line 662, in gen_wrapper yield from f(*args, **kwargs) File "/agentfabric/modelscope-agent/apps/agentfabric/app.py", line 551, in preview_send_message user_agent = _state['user_agent'] KeyError: 'user_agent'

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 501, in process_events response = await self.call_prediction(awake_events, batch) File "/opt/conda/lib/python3.10/site-packages/gradio/queueing.py", line 465, in call_prediction raise Exception(str(error) if show_error else None) from error Exception: 'user_agent'

for mac. 删除 /tmp目录下的agentfabric文件夹，重新运行下