kwaikeg / kwaiagents Goto Github PK

A generalized information-seeking agent system with Large Language Models (LLMs).

License: Other

Python 100.00%

agi autogpt autonomous-agents chatgpt gpt large-language-models localllm

kwaiagents's Issues

kagentsys chat with local llm error ,need to connect huggingface.co

I have check that
curl http://10.22.51.10:21010/v1/chat/completions -H "Content-Type: application/json" -d '{"model": "kagentlms_qwen_7b_mat", "messages": [{"role": "user", "content": "刘德华是谁"}]}'
return ok

but when run
kagentsys --query="刘德华老婆是谁？" --llm_name="kagentlms_qwen_7b_mat" --use_local_llm --local_llm_host="10.22.51.10" --local_llm_port=21010 --lang="zh"
met error We couldn't connect to 'https://huggingface.co'

how to fix this

有没有相关的技术讨论微信群？

提问后出现错误提示 AttributeError: module 'eventlet.green.select' has no attribute 'epoll'

kagentsys --query="刘德华老婆是谁？" --llm_name="kagentlms_qwen_7b_mat" --use_local_llm --local_llm_host="localhost" --local_llm_port=8899 --lang="zh"

File "/opt/conda/lib/python3.10/site-packages/trio-0.24.0-py3.10.egg/trio/_core/_io_epoll.py", line 203, in EpollIOManager
_epoll: select.epoll = attr.ib(factory=select.epoll)
AttributeError: module 'eventlet.green.select' has no attribute 'epoll'

还有就是：单卡模型推理服务，加载模型后隔一小段时间后就会崩溃，然后出现以下提示
ValueError: The model's max seq len (8192) is larger than the maximum number of tokens that can be stored in KV cache (5392). Try increasing gpu_memory_utilization or decreasing max_model_len when initializing the engine.

运行的环境是魔搭阿里云DSW，T_T。。。求大佬帮忙解决

hugging face上数据集怎么为空？

能上传到魔搭吗，这样国内下载快一点

with use_local_llm , the local deployment service , Will download model files from Hugging Face

command：kagentsys --query="Who is Andy Lau's wife?" --llm_name="kagentlms_qwen_7b_mat"
--use_local_llm --local_llm_host="https://127.0.0.1" --local_llm_port=80 --lang="zh"
use_local_llm，error:
OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like kwaikeg/kagentlms_qwen_7b_mat is not the path to a directory containing a file named config.json.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

Will the local deployment service also download model files from Hugging Face?

关于external_knowledge参数

--external_knowledge参数在项目中没有使用
是否有开源Knowledge Memory的计划？

Meta-agent tuning的代码会公布吗？

Meta-agent tuning的代码会公布吗？数据要怎样读入模型进行微调呢，可否给出示例？

两个关于KAgentInstruct数据集的问题

请问下两个关于KAgentInstruct数据集的问题：
1、source为kwai-agent和kwaiagent的两部分数据有什么区别？
2、每行数据中的"llm_prompt_response"字段是个list，"llm_prompt_response"字段下的各个dict（每个dict中有“input”、“instruction”、“output”）在训练时需要合并到一个conversation中吗？（或者说"llm_prompt_response"字段下的各个dict是否独立且不需要考虑加入上下文）

感谢！

Can the KAgentInstruct dataset be open sourced or used as a reference

Can the KAgentInstruct dataset be open sourced or used as a reference;Thank you.

阿里云DSW环境，总是提示 The model's max seq len (8192) is larger than the maximum number of tokens that can be stored in KV cache (5392). Try increasing `gpu_memory_utilization` or decreasing `max_model_len` when initializing the engine.

KwaiKEG/kagentlms_qwen_7b_mat
Qwen/Qwen-7B-Chat
两个都一样的提示。
尝试qwen1.5新版本，提示keyerror，qwen2

关于数据集和Plan和Tool指标的问题

哈喽，感谢您们精彩的工作！我认为这是十分有意义的。但是我有几个困惑。
我理解针对于Kagent这个框架，数据集中"type": "plantooluse"是为了验证模型的plan多步骤能力。但是：

golden_result_list中的json数据没有step的概念，看起来是没有先后执行顺序的。这个怎么作为多步骤推理的标签呢？模型在执行多次plan的时候，怎样选择golden_result_list的结果作为标准的label
评价指标中的Planning和Tool-use是否评价的是一次plan的过程，这样能否体现多步骤推理的能力呢？

感谢！并且期待您的回复！
谢谢！

python fastchat.serve.openai_api_server

| INFO | stdout | INFO: 127.0.0.1:59622 - "POST /v1/completions/ HTTP/1.1" 307 Temporary Redirect

web_search无法使用

Traceback (most recent call last):
File "c:\users\user\desktop\kwaiagents-main\kwaiagents-main\kwaiagents\tools\search.py", line 119, in _retry_search_result
if not search_results and counter >= 2:
^^^^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'search_results' where it is not associated with a value

During handling of the above exception, another exception occurred:

能不能给个可以跑起来的完整“requirements.txt”？

用如下命令可以生成requirements.txt

pip freeze > requirements.txt

Questions enquiry for KwaiAgentSys and MAT model

Hello, here are some questions and want to understand. Please kindly assist.
1.
May I know how to use kagentsys in conversation mode? Currently with default parameters in README, it can only have one question for prompt input with 5 iterations maximum.
2.
For MAT model of Baichuan2 published, the base training model is [Baichuan2-13B-Chat] or [Baichuan2-13B-Base]? If MAT finetuning is based on [Baichuan2-13B-Base], could we have some way to finetune well in [Baichuan2-13B-Chat]?
3.
Did MAT models tested in other Agents framework, such as LangChain or AutoGPT? If yes, how is the performance.

Thank you in advance!

Concluding 和 Profile 指标有什么不同？

从源代码上看，这两个指标作用是一样的。感谢。

您好，请问Reflexion测试模型的反思能力，具体是如何体现模型的反思能力的？

您好，请问Reflexion测试模型的反思，具体是如何体现模型的反思能力的？

使用kagentsys，但无法产生thought和后续动作

如题，正常应该像图右方所示，产生thought
但在我们环境中，使用kagentsys，无法产生thought和后续动作（如图左方），这个可以如何跟踪排查呢？

logging as below:
***** Question *****
Who is Andy Lau's wife?
🤔 thinking...
execution duration: 0.000s
'choices'
'choices'
'choices'
'choices'
'choices'

Traceback (most recent call last):
File "/home/pgpu/Code/KwaiAgents/kwaiagents/agents/kagent.py", line 130, in task_plan
response, _ = create_chat_completion(
File "/home/pgpu/Code/KwaiAgents/kwaiagents/llms/init.py", line 44, in create_chat_completion
raise RuntimeError(f"Failed to get response after {num_retries} retries")
RuntimeError: Failed to get response after 5 retries

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/pgpu/Code/KwaiAgents/kwaiagents/agent_start.py", line 64, in chat
agent_results = agent.chat(
File "/home/pgpu/Code/KwaiAgents/kwaiagents/agents/kagent.py", line 270, in chat
new_tasks = self.task_plan(goal, memory)
File "/home/pgpu/Code/KwaiAgents/kwaiagents/agents/kagent.py", line 143, in task_plan
print("+" + response)
UnboundLocalError: local variable 'response' referenced before assignment

训练集(KAgentInstruct)ReACT数据问题

Hi ! 我发现您最近开源了训练数据KAgentInstruct，感谢开源！

在训练数据ReACT方法这一类别中，我发现了下述问题：
prompt数据中定义的tools存在矛盾情况

Answer the following questions as best you can. You have access to the following tools:

[{'name': 'open_weather_map', 'description': 'A tool for fetching current weather information for a specified location. Input should be a location string (e.g. London,GB).', 'parameters': {'location': {'type': 'string', 'description': 'Location to search.', 'required': True}}}, {'name': 'query_powerbi', 'description': 'A tool for querying a dataset based on a detailed question input. It will try to answer the question using the dataset and, if it cannot, it will prompt for clarification.', 'parameters': {'tool_input': {'type': 'string', 'description': 'Detailed question to search.', 'required': False}}}, {'name': 'submit_file', 'description': 'A tool to submit a file once all steps are complete.', 'parameters': {}}, {'name': 'rewrite_sql', 'description': 'A tool for rewriting an input SQL query.', 'parameters': {'sql': {'type': 'string', 'description': 'The SQL query to rewrite.', 'required': True}}}, {'name': 'get_qa', 'description': 'A tool for answering questions based on an input text. Can be used to process text from an image.', 'parameters': {'input': {'type': 'string', 'description': 'The input text.', 'required': True}}}, {'name': 'check_availability', 'description': 'A tool for checking the availability of a property based on its ID.', 'parameters': {'propertyId': {'type': 'string', 'description': 'The ID of the property.', 'required': True}}}, {'name': 'sleep', 'description': 'A tool for making the agent sleep for a specified number of seconds.', 'parameters': {'sleep_time': {'type': 'number', 'description': 'The number of seconds to sleep.', 'required': True}}}, {'name': 'searx_search', 'description': 'A tool for meta-searching, useful for retrieving up-to-date information based on a search query.', 'parameters': {'query': {'type': 'string', 'description': 'The search query.', 'required': True}}}, {'name': 'get_elements', 'description': 'A tool for retrieving URL(s) based on a CSS selector and (optional) attribute(s).', 'parameters': {'selector': {'type': 'string', 'description': 'A CSS selector, such as "*", "div", "p", "a", #id, or .classname.', 'required': True}, 'attributes': {'type': 'array', 'description': 'An optional set of attributes to retrieve for each element.', 'items': {'type': 'string', 'description': 'An attribute to retrieve for each element'}, 'required': False}}}, {'name': 'rent_estimate', 'description': 'A tool for estimating rent for a specified property.', 'parameters': {'property_type': {'type': 'string', 'description': 'The type of the property (SingleFamily, Condo, MultiFamily, Townhouse, or Apartment).', 'required': True}, 'long': {'type': 'number', 'description': 'The longitude of the property.', 'required': True}, 'lat': {'type': 'number', 'description': 'The latitude of the property.', 'required': True}, 'd': {'type': 'number', 'description': 'The diameter in miles.', 'required': True}, 'beds': {'type': 'number', 'description': 'The number of bedrooms in the property.', 'required': True}, 'bath': {'type': 'number', 'description': 'The number of bathrooms in the property.', 'required': True}, 'sqftMin': {'type': 'number', 'description': 'The minimum square footage of the property.', 'required': True}, 'sqftMax': {'type': 'number', 'description': 'The maximum square footage of the property.', 'required': True}, 'address': {'type': 'string', 'description': 'The address of the property.', 'required': True}}}, {'name': 'no_function', 'description': 'A placeholder function indicating that no appropriate tool exists with the given parameters.', 'parameters': {}}]

Use the following format:

Question: the input question you must answer
Thought: you should always think about what to do
Action: the action to take, should be one of [duckduckgo_search, Wikipedia, Calculator]
Action Input: the input to the action
Observation: the result of the action
... (this Thought/Action/Action Input/Observation can repeat N times)
Thought: I now know the final answer
Final Answer: the final answer to the original input question

Begin!

Question: 请给我一些建筑设计方面的创意灵感
Thought:

例如上述例子中，定义的工具为：

[{'name': 'open_weather_map', 'description': 'A tool for fetching current weather information for a specified location. Input should be a location string (e.g. London,GB).', 'parameters': {'location': {'type': 'string', 'description': 'Location to search.', 'required': True}}}, {'name': 'query_powerbi', 'description': 'A tool for querying a dataset based on a detailed question input. It will try to answer the question using the dataset and, if it cannot, it will prompt for clarification.', 'parameters': {'tool_input': {'type': 'string', 'description': 'Detailed question to search.', 'required': False}}}, {'name': 'submit_file', 'description': 'A tool to submit a file once all steps are complete.', 'parameters': {}}, {'name': 'rewrite_sql', 'description': 'A tool for rewriting an input SQL query.', 'parameters': {'sql': {'type': 'string', 'description': 'The SQL query to rewrite.', 'required': True}}}, {'name': 'get_qa', 'description': 'A tool for answering questions based on an input text. Can be used to process text from an image.', 'parameters': {'input': {'type': 'string', 'description': 'The input text.', 'required': True}}}, {'name': 'check_availability', 'description': 'A tool for checking the availability of a property based on its ID.', 'parameters': {'propertyId': {'type': 'string', 'description': 'The ID of the property.', 'required': True}}}, {'name': 'sleep', 'description': 'A tool for making the agent sleep for a specified number of seconds.', 'parameters': {'sleep_time': {'type': 'number', 'description': 'The number of seconds to sleep.', 'required': True}}}, {'name': 'searx_search', 'description': 'A tool for meta-searching, useful for retrieving up-to-date information based on a search query.', 'parameters': {'query': {'type': 'string', 'description': 'The search query.', 'required': True}}}, {'name': 'get_elements', 'description': 'A tool for retrieving URL(s) based on a CSS selector and (optional) attribute(s).', 'parameters': {'selector': {'type': 'string', 'description': 'A CSS selector, such as "*", "div", "p", "a", #id, or .classname.', 'required': True}, 'attributes': {'type': 'array', 'description': 'An optional set of attributes to retrieve for each element.', 'items': {'type': 'string', 'description': 'An attribute to retrieve for each element'}, 'required': False}}}, {'name': 'rent_estimate', 'description': 'A tool for estimating rent for a specified property.', 'parameters': {'property_type': {'type': 'string', 'description': 'The type of the property (SingleFamily, Condo, MultiFamily, Townhouse, or Apartment).', 'required': True}, 'long': {'type': 'number', 'description': 'The longitude of the property.', 'required': True}, 'lat': {'type': 'number', 'description': 'The latitude of the property.', 'required': True}, 'd': {'type': 'number', 'description': 'The diameter in miles.', 'required': True}, 'beds': {'type': 'number', 'description': 'The number of bedrooms in the property.', 'required': True}, 'bath': {'type': 'number', 'description': 'The number of bathrooms in the property.', 'required': True}, 'sqftMin': {'type': 'number', 'description': 'The minimum square footage of the property.', 'required': True}, 'sqftMax': {'type': 'number', 'description': 'The maximum square footage of the property.', 'required': True}, 'address': {'type': 'string', 'description': 'The address of the property.', 'required': True}}}, {'name': 'no_function', 'description': 'A placeholder function indicating that no appropriate tool exists with the given parameters.', 'parameters': {}}]

但prompt中却说：

... ...
Action: the action to take, should be one of [duckduckgo_search, Wikipedia, Calculator]
... ...

我发现这好像是一种比较普遍的情况。

请问是否能上传更新版的训练数据？再次感谢您的开源，期待回复！

训练集(KAgentInstruct)数据问题

Hi, 感谢您针对“训练集(KAgentlnstruct)ReACT数据问题”进行解决并更新了数据集，但我仍发现数据中存在下述现象与问题：

1）训练集中“toolllama”存在较多相似数据 (相似数据会降低数据多样性，影响模型能力？)
这类相似数据的input非常类似，且答案一般如下：
\nThought: \nAction: top_memes_for_reddit_meme\nAction Input: {}

2）数据的response中存在语言不一致情况 (这种问题可能会造成模型选择回复语言混乱？)
例如数据中，提问使用的是中文，在response中，思考等使用的是英文，回复使用的是中文

3）训练集中react的prompt input部分不应包含“Thought”、"Final Answer"等组件名称，这些组件名称应放到response中训练
由于react需学习思考、动作、观察与结果的时机，且在实际使用时也由模型生成，故这些组件名称应放到response中训练

期待更新版训练数据的更新，再次感谢您的开源！

几个任务的解释

有几个没太明白想请问一下，这几个任务：plan, tools, reflection, conclusion, profile分别是测试模型的什么方面呢（看数据集和论文没太理解），这几个任务都需要联网调用api吗，如果机器不能联网可以测试哪些任务呢，感谢解答🙏

Bug in benchmark_eval.py?

Hi, I found there is a bug in benchmark_eval.py. Belowed is the original code of the get_tool_metric.

def get_tool_metric(golden_toolnames, golden_tool_args, tool_name, tool_args):
    tool_metrics = []
    for golden_toolname, golden_tool_arg in zip(golden_toolnames, golden_tool_args):
        if golden_toolname == 'None':
            continue
        tool_em = 1 if tool_name == golden_toolname else 0
        avg_arg_rouges = []
        if golden_tool_arg == {} and tool_args == {}:
            avg_arg_rouges = [1.]
        elif tool_args != {}:
            for k,v in golden_tool_arg.items():
                for k1,v1 in tool_args.items():
                    if k1 == k:
                        avg_arg_rouges.append(calculate_rouge_l(v, v1))
                        break
                avg_arg_rouges.append(0.)
        else:
            avg_arg_rouges = [0.]
        arg_rouge = sum(avg_arg_rouges) / len(avg_arg_rouges) if len(avg_arg_rouges)>0 else 0 
        tool_metrics.append(arg_rouge * tool_em)

    if len(tool_metrics) == 0:
        tool_metrics = [0.]
    return max(tool_metrics)

When tool_args!={}, the logic is to find a matched key between tool_args and gloden_tool_arg, and if there is a match, i.e., k1==k, we calculate the rougle_l and append to the list avg_arg_rouges. If there is not matched key, a 0 score will be append to avg_arg_rouges. However, when there is a match, accutually two values will be appended to avg_arg_rouges, one is the rouge_l, the other is 0.

A revised version should be as follows:

def get_tool_metric(golden_toolnames, golden_tool_args, tool_name, tool_args):
    tool_metrics = []
    for golden_toolname, golden_tool_arg in zip(golden_toolnames, golden_tool_args):
        if golden_toolname == 'None':
            continue
        tool_em = 1 if tool_name == golden_toolname else 0
        avg_arg_rouges = []
        if golden_tool_arg == {} and tool_args == {}:
            avg_arg_rouges = [1.]
        elif tool_args != {}:
            # original implementation
            # for k,v in golden_tool_arg.items():
            #     for k1,v1 in tool_args.items():
            #         if k1 == k:
            #             avg_arg_rouges.append(calculate_rouge_l(v, v1))
            #             break
            #     avg_arg_rouges.append(0.)

            # new implementation
            for k,v in golden_tool_arg.items():
                match_k = False
                for k1,v1 in tool_args.items():
                    if k1 == k:
                        avg_arg_rouges.append(calculate_rouge_l(v, v1))
                        match_k = True
                        break
                if not match_k:
                    avg_arg_rouges.append(0.)
        else:
            avg_arg_rouges = [0.]
        arg_rouge = sum(avg_arg_rouges) / len(avg_arg_rouges) if len(avg_arg_rouges)>0 else 0 
        tool_metrics.append(arg_rouge * tool_em)

    if len(tool_metrics) == 0:
        tool_metrics = [0.]
    return max(tool_metrics)

python setup.py develop error

(agent) root# python setup.py develop
running develop
/ML-A100/public/tmp/miniconda3/envs/agent/lib/python3.10/site-packages/setuptools/command/develop.py:40: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!

        ********************************************************************************
        Please avoid running ``setup.py`` and ``easy_install``.
        Instead, use pypa/build, pypa/installer or other
        standards-based tools.

        See https://github.com/pypa/setuptools/issues/917 for details.
        ********************************************************************************

!!
  easy_install.initialize_options(self)
/ML-A100/public/tmp/miniconda3/envs/agent/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!

        ********************************************************************************
        Please avoid running ``setup.py`` directly.
        Instead, use pypa/build, pypa/installer or other
        standards-based tools.

        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
        ********************************************************************************

!!
  self.initialize_options()
running egg_info
writing kwaiagents.egg-info/PKG-INFO
writing dependency_links to kwaiagents.egg-info/dependency_links.txt
writing entry points to kwaiagents.egg-info/entry_points.txt
writing requirements to kwaiagents.egg-info/requires.txt
writing top-level names to kwaiagents.egg-info/top_level.txt
reading manifest file 'kwaiagents.egg-info/SOURCES.txt'
adding license file 'LICENSE.txt'
writing manifest file 'kwaiagents.egg-info/SOURCES.txt'
running build_ext
Creating /ML-A100/public/tmp/miniconda3/envs/agent/lib/python3.10/site-packages/kwaiagents.egg-link (link to .)
kwaiagents 0.0.1 is already the active version in easy-install.pth
Installing kagentsys script to /ML-A100/public/tmp/miniconda3/envs/agent/bin

Installed /ML-A100/public/tmp/yiguofeng/KwaiAgents
Processing dependencies for kwaiagents==0.0.1
error: cryptography 43.0.0.dev1 is installed but cryptography<43,>=41.0.5 is required by {'pyOpenSSL'}

环境不兼容

openai-key 写在哪里

Where can find the test data?

Really interesting work! I wonder where can we find the test data? ./benchmark_eval.jsonl Interesting on query set used to test out this setup. Also, did we consider/compare against Google's rich answer system? Such as its snippet answer?

qwen1.5-14b-mat模型release地址为空

https://huggingface.co/kwaikeg/kagentlms_qwen1.5_14b_mat/tree/main 无模型权重文件，是还没有正式发布吗？

When I type the command python setup.py develop on linux, I get the following error:

self.initialize_options()
aiohttp/_websocket.c: In function ‘__Pyx_ParseOptionalKeywords’:
aiohttp/_websocket.c:2166:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2166:21: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2166:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2166:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2166:21: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2166:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2166 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_websocket.c:2182:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
2182 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_websocket.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_find_header.c: In function ‘find_header’:
aiohttp/_find_header.c:21:19: warning: initialization discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
21 | char *pchar = str;
| ^~~
aiohttp/_find_header.c:9997:1: warning: label ‘missing’ defined but not used [-Wunused-label]
9997 | missing:
| ^~~~~~~
aiohttp/_find_header.c:27:1: warning: label ‘INITIAL’ defined but not used [-Wunused-label]
27 | INITIAL:
| ^~~~~~~
aiohttp/_http_parser.c: In function ‘__pyx_f_7aiohttp_12_http_parser_cb_on_header_field’:
aiohttp/_http_parser.c:11643:34: warning: comparison of integer expressions of different signedness: ‘Py_ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
11643 | __pyx_t_6 = ((__pyx_v_size > __pyx_v_pyparser->_max_field_size) != 0);
| ^
aiohttp/_http_parser.c:11739:148: warning: passing argument 2 of ‘__pyx_v_pyparser->__pyx_vtab->_on_header_field’ discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
11739 | __pyx_t_1 = ((struct __pyx_vtabstruct_7aiohttp_12_http_parser_HttpParser *)__pyx_v_pyparser->__pyx_vtab)->_on_header_field(__pyx_v_pyparser, __pyx_v_at, __pyx_v_length); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 638, __pyx_L3_error)
| ^~~~~~~~~~
aiohttp/_http_parser.c:11739:148: note: expected ‘char *’ but argument is of type ‘const char *’
aiohttp/_http_parser.c: In function ‘__pyx_f_7aiohttp_12_http_parser_cb_on_header_value’:
aiohttp/_http_parser.c:11961:34: warning: comparison of integer expressions of different signedness: ‘Py_ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
11961 | __pyx_t_6 = ((__pyx_v_size > __pyx_v_pyparser->_max_field_size) != 0);
| ^
aiohttp/_http_parser.c:12057:148: warning: passing argument 2 of ‘__pyx_v_pyparser->__pyx_vtab->_on_header_value’ discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
12057 | __pyx_t_1 = ((struct __pyx_vtabstruct_7aiohttp_12_http_parser_HttpParser *)__pyx_v_pyparser->__pyx_vtab)->_on_header_value(__pyx_v_pyparser, __pyx_v_at, __pyx_v_length); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 655, __pyx_L3_error)
| ^~~~~~~~~~
aiohttp/_http_parser.c:12057:148: note: expected ‘char *’ but argument is of type ‘const char ’
aiohttp/_http_parser.c: In function ‘__pyx_tp_dealloc_7aiohttp_12_http_parser_HttpParser’:
aiohttp/_http_parser.c:16227:5: error: lvalue required as increment operand
16227 | ++Py_REFCNT(o);
| ^~
aiohttp/_http_parser.c:16229:5: error: lvalue required as decrement operand
16229 | --Py_REFCNT(o);
| ^~
aiohttp/_http_parser.c: In function ‘__Pyx_decode_c_bytes’:
aiohttp/_http_parser.c:19932:9: warning: ‘PyUnicode_FromUnicode’ is deprecated [-Wdeprecated-declarations]
19932 | return PyUnicode_FromUnicode(NULL, 0);
| ^~~~~~
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:551:42: note: declared here
551 | Py_DEPRECATED(3.3) PyAPI_FUNC(PyObject) PyUnicode_FromUnicode(
| ^~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c: In function ‘__Pyx_ParseOptionalKeywords’:
aiohttp/_http_parser.c:20030:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20030:21: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20030:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20030:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20030:21: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20030:21: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20030 | (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘PyUnicode_AsUnicode’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:580:45: note: declared here
580 | Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode(
| ^~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c:20046:25: warning: ‘_PyUnicode_get_wstr_length’ is deprecated [-Wdeprecated-declarations]
20046 | (PyUnicode_GET_SIZE(*argname) != PyUnicode_GET_SIZE(key)) ? 1 :
| ^
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:446:26: note: declared here
446 | static inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject op) {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c: In function ‘__Pyx_decode_c_string’:
aiohttp/_http_parser.c:21230:9: warning: ‘PyUnicode_FromUnicode’ is deprecated [-Wdeprecated-declarations]
21230 | return PyUnicode_FromUnicode(NULL, 0);
| ^~~~~~
In file included from /data02/miniconda/envs/KwaiAgents/include/python3.10/unicodeobject.h:1046,
from /data02/miniconda/envs/KwaiAgents/include/python3.10/Python.h:83,
from aiohttp/_http_parser.c:4:
/data02/miniconda/envs/KwaiAgents/include/python3.10/cpython/unicodeobject.h:551:42: note: declared here
551 | Py_DEPRECATED(3.3) PyAPI_FUNC(PyObject) PyUnicode_FromUnicode(
| ^~~~~~~~~~~~~~~~~~~~~
aiohttp/_http_parser.c: In function ‘__Pyx_Coroutine_Send’:
aiohttp/_http_parser.c:23271:19: warning: implicit declaration of function ‘_PyGen_Send’; did you mean ‘_PyGen_yf’? [-Wimplicit-function-declaration]
23271 | ret = _PyGen_Send((PyGenObject)yf, value == Py_None ? NULL : value);
| ^~~~~~~~~~~
| _PyGen_yf
aiohttp/_http_parser.c:23271:17: warning: assignment to ‘PyObject *’ {aka ‘struct _object ’} from ‘int’ makes pointer from integer without a cast [-Wint-conversion]
23271 | ret = _PyGen_Send((PyGenObject)yf, value == Py_None ? NULL : value);
| ^
aiohttp/_http_parser.c:23276:17: warning: assignment to ‘PyObject *’ {aka ‘struct _object ’} from ‘int’ makes pointer from integer without a cast [-Wint-conversion]
23276 | ret = _PyGen_Send((PyGenObject)yf, value == Py_None ? NULL : value);
| ^
aiohttp/_http_parser.c: In function ‘__Pyx_Generator_Next’:
aiohttp/_http_parser.c:23360:17: warning: assignment to ‘PyObject *’ {aka ‘struct _object ’} from ‘int’ makes pointer from integer without a cast [-Wint-conversion]
23360 | ret = _PyGen_Send((PyGenObject)yf, NULL);
| ^
error: Setup script exited with error: command '/usr/bin/gcc' failed with exit code 1

qwen1.5-7b-mat模型release地址为空

Expecting the KAgentInstruct TrainingData and Training Guide

非常有启发性的项目，我从中学到很多知识。
希望尽快深入了解有关模型训练的细节及数据，非常感谢！

[build error]get error when i try pip install vllm

`(base) liuqi-de-MacBook-Pro:KwaiAgents liuqi$ pip install -r requirements.txt
Collecting bs4 (from -r requirements.txt (line 1))
Downloading bs4-0.0.1.tar.gz (1.1 kB)
Preparing metadata (setup.py) ... done
Collecting pandas (from -r requirements.txt (line 2))
Downloading pandas-2.1.4-cp311-cp311-macosx_11_0_arm64.whl.metadata (18 kB)
Collecting docstring_parser (from -r requirements.txt (line 3))
Downloading docstring_parser-0.15-py3-none-any.whl (36 kB)
Collecting lunar_python==1.3.2 (from -r requirements.txt (line 4))
Downloading lunar_python-1.3.2.tar.gz (103 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 103.7/103.7 kB 2.2 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Collecting duckduckgo-search==4.1.1 (from -r requirements.txt (line 5))
Downloading duckduckgo_search-4.1.1-py3-none-any.whl.metadata (19 kB)
Collecting selenium==4.1.4 (from -r requirements.txt (line 6))
Downloading selenium-4.1.4-py3-none-any.whl (979 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 979.3/979.3 kB 9.9 MB/s eta 0:00:00
Collecting webdriver-manager==3.8.6 (from -r requirements.txt (line 7))
Downloading webdriver_manager-3.8.6-py2.py3-none-any.whl (27 kB)
Collecting openai==0.27.8 (from -r requirements.txt (line 8))
Downloading openai-0.27.8-py3-none-any.whl.metadata (13 kB)
Collecting translate==3.6.1 (from -r requirements.txt (line 9))
Downloading translate-3.6.1-py2.py3-none-any.whl (12 kB)
Collecting ephem==4.1.4 (from -r requirements.txt (line 10))
Downloading ephem-4.1.4.tar.gz (1.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 26.5 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Collecting click>=8.1.7 (from duckduckgo-search==4.1.1->-r requirements.txt (line 5))
Downloading click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
Collecting lxml>=4.9.3 (from duckduckgo-search==4.1.1->-r requirements.txt (line 5))
Downloading lxml-5.0.0-cp311-cp311-macosx_11_0_universal2.whl.metadata (6.7 kB)
Collecting curl-cffi>=0.5.10 (from duckduckgo-search==4.1.1->-r requirements.txt (line 5))
Downloading curl_cffi-0.5.10-cp37-abi3-macosx_11_0_arm64.whl.metadata (7.9 kB)
Requirement already satisfied: urllib3~=1.26 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from urllib3[secure,socks]=1.26->selenium==4.1.4->-r requirements.txt (line 6)) (1.26.18)
Collecting trio=0.17 (from selenium==4.1.4->-r requirements.txt (line 6))
Downloading trio-0.23.2-py3-none-any.whl.metadata (4.9 kB)
Collecting trio-websocket~=0.9 (from selenium==4.1.4->-r requirements.txt (line 6))
Downloading trio_websocket-0.11.1-py3-none-any.whl.metadata (4.7 kB)
Requirement already satisfied: requests in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from webdriver-manager==3.8.6->-r requirements.txt (line 7)) (2.31.0)
Collecting python-dotenv (from webdriver-manager==3.8.6->-r requirements.txt (line 7))
Downloading python_dotenv-1.0.0-py3-none-any.whl (19 kB)
Requirement already satisfied: tqdm in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from webdriver-manager==3.8.6->-r requirements.txt (line 7)) (4.65.0)
Requirement already satisfied: packaging in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from webdriver-manager==3.8.6->-r requirements.txt (line 7)) (23.1)
Collecting aiohttp (from openai==0.27.8->-r requirements.txt (line 8))
Downloading aiohttp-3.9.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (7.4 kB)
Collecting libretranslatepy==2.1.1 (from translate==3.6.1->-r requirements.txt (line 9))
Downloading libretranslatepy-2.1.1-py3-none-any.whl (3.2 kB)
Collecting beautifulsoup4 (from bs4->-r requirements.txt (line 1))
Downloading beautifulsoup4-4.12.2-py3-none-any.whl (142 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.0/143.0 kB 18.6 MB/s eta 0:00:00
Collecting numpy<2,>=1.23.2 (from pandas->-r requirements.txt (line 2))
Downloading numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl.metadata (115 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 115.1/115.1 kB 14.0 MB/s eta 0:00:00
Collecting python-dateutil>=2.8.2 (from pandas->-r requirements.txt (line 2))
Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 kB 27.5 MB/s eta 0:00:00
Collecting pytz>=2020.1 (from pandas->-r requirements.txt (line 2))
Downloading pytz-2023.3.post1-py2.py3-none-any.whl.metadata (22 kB)
Collecting tzdata>=2022.1 (from pandas->-r requirements.txt (line 2))
Downloading tzdata-2023.4-py2.py3-none-any.whl.metadata (1.4 kB)
Requirement already satisfied: cffi>=1.12.0 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from curl-cffi>=0.5.10->duckduckgo-search==4.1.1->-r requirements.txt (line 5)) (1.16.0)
Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas->-r requirements.txt (line 2))
Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: charset-normalizer<4,>=2 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from requests->webdriver-manager==3.8.6->-r requirements.txt (line 7)) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from requests->webdriver-manager==3.8.6->-r requirements.txt (line 7)) (3.4)
Requirement already satisfied: certifi>=2017.4.17 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from requests->webdriver-manager==3.8.6->-r requirements.txt (line 7)) (2023.11.17)
Collecting attrs>=20.1.0 (from trio~=0.17->selenium==4.1.4->-r requirements.txt (line 6))
Downloading attrs-23.2.0-py3-none-any.whl.metadata (9.5 kB)
Collecting sortedcontainers (from trio~=0.17->selenium==4.1.4->-r requirements.txt (line 6))
Downloading sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB)
Collecting outcome (from trio~=0.17->selenium==4.1.4->-r requirements.txt (line 6))
Downloading outcome-1.3.0.post0-py2.py3-none-any.whl.metadata (2.6 kB)
Collecting sniffio>=1.3.0 (from trio~=0.17->selenium==4.1.4->-r requirements.txt (line 6))
Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)
Collecting wsproto>=0.14 (from trio-websocket~=0.9->selenium==4.1.4->-r requirements.txt (line 6))
Downloading wsproto-1.2.0-py3-none-any.whl (24 kB)
Requirement already satisfied: pyOpenSSL>=0.14 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from urllib3[secure,socks]=1.26->selenium==4.1.4->-r requirements.txt (line 6)) (23.2.0)
Requirement already satisfied: cryptography>=1.3.4 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from urllib3[secure,socks]=1.26->selenium==4.1.4->-r requirements.txt (line 6)) (41.0.7)
Collecting urllib3-secure-extra (from urllib3[secure,socks]=1.26->selenium==4.1.4->-r requirements.txt (line 6))
Downloading urllib3_secure_extra-0.1.0-py2.py3-none-any.whl (1.4 kB)
Requirement already satisfied: PySocks!=1.5.7,<2.0,>=1.5.6 in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from urllib3[secure,socks]=1.26->selenium==4.1.4->-r requirements.txt (line 6)) (1.7.1)
Collecting multidict<7.0,>=4.5 (from aiohttp->openai==0.27.8->-r requirements.txt (line 8))
Downloading multidict-6.0.4-cp311-cp311-macosx_11_0_arm64.whl (29 kB)
Collecting yarl<2.0,>=1.0 (from aiohttp->openai==0.27.8->-r requirements.txt (line 8))
Downloading yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl.metadata (31 kB)
Collecting frozenlist>=1.1.1 (from aiohttp->openai==0.27.8->-r requirements.txt (line 8))
Downloading frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (12 kB)
Collecting aiosignal>=1.1.2 (from aiohttp->openai==0.27.8->-r requirements.txt (line 8))
Downloading aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
Collecting soupsieve>1.2 (from beautifulsoup4->bs4->-r requirements.txt (line 1))
Downloading soupsieve-2.5-py3-none-any.whl.metadata (4.7 kB)
Requirement already satisfied: pycparser in /Users/liuqi/miniconda3/lib/python3.11/site-packages (from cffi>=1.12.0->curl-cffi>=0.5.10->duckduckgo-search==4.1.1->-r requirements.txt (line 5)) (2.21)
Collecting h11<1,>=0.9.0 (from wsproto>=0.14->trio-websocket~=0.9->selenium==4.1.4->-r requirements.txt (line 6))
Downloading h11-0.14.0-py3-none-any.whl (58 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 9.6 MB/s eta 0:00:00
Downloading duckduckgo_search-4.1.1-py3-none-any.whl (26 kB)
Downloading openai-0.27.8-py3-none-any.whl (73 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 73.6/73.6 kB 8.4 MB/s eta 0:00:00
Downloading pandas-2.1.4-cp311-cp311-macosx_11_0_arm64.whl (10.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.8/10.8 MB 1.3 MB/s eta 0:00:00
Downloading click-8.1.7-py3-none-any.whl (97 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.9/97.9 kB 1.9 MB/s eta 0:00:00
Downloading curl_cffi-0.5.10-cp37-abi3-macosx_11_0_arm64.whl (2.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.2/2.2 MB 1.2 MB/s eta 0:00:00
Downloading lxml-5.0.0-cp311-cp311-macosx_11_0_universal2.whl (8.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.8/8.8 MB 1.2 MB/s eta 0:00:00
Downloading numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl (14.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.0/14.0 MB 1.2 MB/s eta 0:00:00
Downloading pytz-2023.3.post1-py2.py3-none-any.whl (502 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 502.5/502.5 kB 1.4 MB/s eta 0:00:00
Downloading trio-0.23.2-py3-none-any.whl (461 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 461.6/461.6 kB 1.3 MB/s eta 0:00:00
Downloading trio_websocket-0.11.1-py3-none-any.whl (17 kB)
Downloading tzdata-2023.4-py2.py3-none-any.whl (346 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 346.6/346.6 kB 1.5 MB/s eta 0:00:00
Downloading aiohttp-3.9.1-cp311-cp311-macosx_11_0_arm64.whl (386 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 386.8/386.8 kB 1.3 MB/s eta 0:00:00
Downloading attrs-23.2.0-py3-none-any.whl (60 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/60.8 kB 1.1 MB/s eta 0:00:00
Downloading frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl (53 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.4/53.4 kB 897.8 kB/s eta 0:00:00
Downloading soupsieve-2.5-py3-none-any.whl (36 kB)
Downloading yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl (81 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 81.2/81.2 kB 1.5 MB/s eta 0:00:00
Downloading outcome-1.3.0.post0-py2.py3-none-any.whl (10 kB)
Building wheels for collected packages: lunar_python, ephem, bs4
Building wheel for lunar_python (setup.py) ... done
Created wheel for lunar_python: filename=lunar_python-1.3.2-py3-none-any.whl size=113790 sha256=1dbcb26512c9c700eb995a0c9d13685eafc0cf6b3e9f26ab5426b1aac60ac2d8
Stored in directory: /Users/liuqi/Library/Caches/pip/wheels/6a/73/58/1b80d8b1e096d6e501e68af3b0b06d0853d174fe1840a93161
Building wheel for ephem (setup.py) ... done
Created wheel for ephem: filename=ephem-4.1.4-cp311-cp311-macosx_11_0_arm64.whl size=1421773 sha256=825829c986be5b9020a8087634c6c6b39ae11920ed93d6406d2e69872b12ae98
Stored in directory: /Users/liuqi/Library/Caches/pip/wheels/c8/40/d4/dda0a71c5a493dafbcc1f1a5dca07363f6ff2d12046879f109
Building wheel for bs4 (setup.py) ... done
Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1256 sha256=412e0f58edaf7553bc201a656ffaa1046b1227b7ef04ff6686e10048933cdcaa
Stored in directory: /Users/liuqi/Library/Caches/pip/wheels/d4/c8/5b/b5be9c20e5e4503d04a6eac8a3cd5c2393505c29f02bea0960
Successfully built lunar_python ephem bs4
Installing collected packages: urllib3-secure-extra, sortedcontainers, pytz, lunar_python, libretranslatepy, ephem, tzdata, soupsieve, sniffio, six, python-dotenv, numpy, multidict, lxml, h11, frozenlist, docstring_parser, click, attrs, yarl, wsproto, webdriver-manager, translate, python-dateutil, outcome, curl-cffi, beautifulsoup4, aiosignal, trio, pandas, duckduckgo-search, bs4, aiohttp, trio-websocket, openai, selenium
Successfully installed aiohttp-3.9.1 aiosignal-1.3.1 attrs-23.2.0 beautifulsoup4-4.12.2 bs4-0.0.1 click-8.1.7 curl-cffi-0.5.10 docstring_parser-0.15 duckduckgo-search-4.1.1 ephem-4.1.4 frozenlist-1.4.1 h11-0.14.0 libretranslatepy-2.1.1 lunar_python-1.3.2 lxml-5.0.0 multidict-6.0.4 numpy-1.26.3 openai-0.27.8 outcome-1.3.0.post0 pandas-2.1.4 python-dateutil-2.8.2 python-dotenv-1.0.0 pytz-2023.3.post1 selenium-4.1.4 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 soupsieve-2.5 translate-3.6.1 trio-0.23.2 trio-websocket-0.11.1 tzdata-2023.4 urllib3-secure-extra-0.1.0 webdriver-manager-3.8.6 wsproto-1.2.0 yarl-1.9.4
(base) liuqi-de-MacBook-Pro:KwaiAgents liuqi$ pip install vllm
Collecting vllm
Downloading vllm-0.2.7.tar.gz (170 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 170.8/170.8 kB 866.3 kB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [28 lines of output]
/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)
device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'),
Traceback (most recent call last):
File "/Users/liuqi/miniconda3/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in
main()
File "/Users/liuqi/miniconda3/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/liuqi/miniconda3/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 118, in get_requires_for_build_wheel
return hook(config_settings)
^^^^^^^^^^^^^^^^^^^^^
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 325, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=['wheel'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 295, in _get_build_requires
self.run_setup()
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 311, in run_setup
exec(code, locals())
File "", line 230, in
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1076, in CUDAExtension
library_dirs += library_paths(cuda=True)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1203, in library_paths
if (not os.path.exists(_join_cuda_home(lib_dir)) and
^^^^^^^^^^^^^^^^^^^^^^^^
File "/private/var/folders/j9/6yjlhjjd3gvgb8xsw4jl0vb40000gp/T/pip-build-env-nmd98nig/overlay/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2416, in _join_cuda_home
raise OSError('CUDA_HOME environment variable is not set. '
OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
(base) liuqi-de-MacBook-Pro:KwaiAgents liuqi$`

hello,How to customize a tool and invoke it, similar to langchain? Or directly use langchain.

Expecting the technical report!

Agent多步思考问题

使用lite gpt3.5进行测试，只能进行一步思考，请问哪些模型能够支持多步思考？

AgentInstruct数据集泄漏问题

在清洗 KAgentInstruct 数据中，发现与KAgentBench存在数据泄漏问题。示例如下：
train数据

{'id': 'cd76e671-e350-4ea5-9dfa-cceb3db330f8',
'query': '你需要扮演一名专业的宇航员训练顾问，较好地回答用户当前问题。在回答问题时，你必须遵循如下流程：询问用户对太空探索或宇航员训练的兴趣。解释成为宇航员所需的基本条件和技能。概述宇航员的训练过程和挑战。讨论太空任务的日常生活和工作环境。提供相关的教育和训练资源信息。\n当前历史对话为：user: 我对太空探索和宇航员训练很感兴趣。\nyou: 太好了！太空探索是一个令人兴奋的领域。请问您对宇航员在太空中的紧急救援措施有什么特别感兴趣的吗？\nuser: 首先，我想了解一下成为宇航员需要具备哪些基本条件和技能？\nyou: 成为宇航员需要具备一定的基本条件和技能。首先，您需要拥有良好的身体素质，因为宇航员需要承受高强度的训练和太空环境的挑战。其次，您需要具备科学、技术、工程或数学等相关领域的学士学位。此外，宇航员还需要具备一定的飞行经验和团队合作精神。\nuser: 那么宇航员的训练过程和挑战是什么样的？\nyou: 宇航员的训练过程通常包括基本训练和任务特定训练。基本训练主要包括体能训练、太空生活技能培训、太空飞行器操作培训等。任务特定训练则针对具体的太空任务进行，例如在国际空间站上的实验操作、太空行走等。在训练过程中，宇航员需要面临许多挑战，如适应失重环境、应对紧急情况等。\n用户当前问题为：太空任务的日常生活和工作环境是怎样的？',
'functions': [],
'function_names': [],
'source': 'profile',
'llm_prompt_response': [{'instruction': '',
'input': '你需要扮演一名专业的宇航员训练顾问，较好地回答用户当前问题。在回答问题时，你必须遵循如下流程：询问用户对太空探索或宇航员训练的兴趣。解释成为宇航员所需的基本条件和技能。概述宇航员的训练过程和挑战。讨论太空任务的日常生活和工作环境。提供相关的教育和训练资源信息。\n当前历史对话为：user: 我对太空探索和宇航员训练很感兴趣。\nyou: 太好了！太空探索是一个令人兴奋的领域。请问您对宇航员在太空中的紧急救援措施有什么特别感兴趣的吗？\nuser: 首先，我想了解一下成为宇航员需要具备哪些基本条件和技能？\nyou: 成为宇航员需要具备一定的基本条件和技能。首先，您需要拥有良好的身体素质，因为宇航员需要承受高强度的训练和太空环境的挑战。其次，您需要具备科学、技术、工程或数学等相关领域的学士学位。此外，宇航员还需要具备一定的飞行经验和团队合作精神。\nuser: 那么宇航员的训练过程和挑战是什么样的？\nyou: 宇航员的训练过程通常包括基本训练和任务特定训练。基本训练主要包括体能训练、太空生活技能培训、太空飞行器操作培训等。任务特定训练则针对具体的太空任务进行，例如在国际空间站上的实验操作、太空行走等。在训练过程中，宇航员需要面临许多挑战，如适应失重环境、应对紧急情况等。\n用户当前问题为：太空任务的日常生活和工作环境是怎样的？',
'output': '在太空任务中，宇航员的日常生活和工作环境与地球上有很大不同。失重环境使得宇航员需要学会在空间站内移动和操作物体的新方法。此外，宇航员需要适应紧凑的生活空间、定期进行体能锻炼以保持身体健康，并且要适应特殊的饮食。在工作方面，宇航员需要执行各种实验、维护空间站设备以及与地面控制中心保持密切沟通。',
'llm_name': 'gpt4',
'human_edited': False}],
'extra_infos': {'full_source': 'role',
'datetime': None,
'human_score': None,
'human_score_reason': None,
'human_note': None}}

test数据

{'query': '太空任务的日常生活和工作环境是怎样的？',
'id': '1303179d-fa47-5462-83a7-431837b6a3d1',
'type': 'profile',
'memory': 'user: 你好，我对太空探索和宇航员训练很感兴趣。\nyou: 你好！很高兴你对太空探索和宇航员训练感兴趣。我是一名宇航员训练顾问，我可以回答你关于这方面的问题。\nuser: 请问成为宇航员需要具备哪些基本条件和技能？\nyou: 成为宇航员需要具备一定的基本条件和技能。首先，你需要拥有良好的身体素质，因为在太空中生活和工作需要承受极端环境。其次，你需要具备一定的教育背景，通常是在工程、科学、数学或计算机科学领域的学士学位。此外，宇航员还需要具备一定的飞行经验和团队合作能力。\nuser: 宇航员的训练过程和挑战是什么？\nyou: 宇航员的训练过程包括基本训练和任务训练两个阶段。基本训练主要包括生存训练、航天飞行器操作、空间行走训练等。任务训练则针对特定的太空任务，如科学实验、维修任务等。在训练过程中，宇航员需要面对许多挑战，如适应失重环境、应对紧急情况、进行高强度的体力和心理训练等。\n',
'memory_last_task': {},
'memory_type': '',
'funcs': [],
'golden_result_list': [{'golden_result': '在太空任务中，宇航员的日常生活和工作环境与地球上有很大不同。失重环境使得宇航员需要学会在空间站内移动和操作物体的新方法。此外，宇航员需要适应紧凑的生活空间、特殊的饮食和睡眠安排。在工作方面，宇航员需要执行各种实验项目、维修任务和其他与太空站运行相关的工作。'},
{'golden_result': '太空任务的日常生活和工作环境与地球上有很大不同。在国际空间站等太空环境中，宇航员需要适应失重状态，这意味着他们需要学会在没有重力的情况下进行日常活动，如进食、睡觉和个人卫生。此外，宇航员的工作时间通常安排得非常紧密，包括进行科学实验、维护空间站设备、进行舱外活动等。在太空中，宇航员需要与国际团队紧密合作，因此良好的沟通和团队协作能力至关重要。同时，宇航员还需要应对与地球隔离的心理压力，保持良好的心理状态。'},
{'golden_result': '太空任务的日常生活和工作环境与地球上有很大不同。在国际空间站等太空环境中，宇航员需要适应失重状态，这意味着他们在生活和工作时需要特殊的设备和方法。例如，宇航员需要使用特殊的睡袋固定在墙上睡觉，进食时要使用特殊的食品和饮料包装，以防止食物和液体在失重环境中漂浮。\n\n工作方面，宇航员需要执行各种任务，如进行科学实验、维护空间站设备、与地面控制中心保持联系等。此外，宇航员还需要进行定期的体能锻炼，以减轻失重环境对身体的负面影响。在太空中，宇航员需要与其他国家的宇航员紧密合作，共同完成任务，因此良好的团队协作和沟通能力至关重要。'},
{'golden_result': '太空任务的日常生活和工作环境与地球上有很大不同。在国际空间站等太空环境中，宇航员需要适应失重状态，这意味着他们在生活和工作时会漂浮。宇航员每天需要进行多项科学实验、维修任务和健身锻炼。由于太空中没有自然光周期，宇航员需要遵循严格的作息时间表以保持正常的生物钟。\n\n在太空中，宇航员需要面对有限的生活空间和资源。他们需要学会在紧凑的空间中进行日常活动，如睡觉、进食和卫生。此外，宇航员还需要定期与地面控制中心进行通信，报告任务进展和身体状况。总的来说，太空任务的日常生活和工作环境具有挑战性，但也为宇航员提供了独特的体验和成就感。'},
{'golden_result': '太空任务的日常生活和工作环境与地球上有很大不同。在国际空间站等太空环境中，宇航员需要适应失重状态，这意味着他们需要学会在没有重力的情况下进行日常活动，如进食、睡觉和个人卫生。此外，宇航员需要按照严格的时间表工作，进行科学实验、维修设备和保持空间站的正常运行。他们还需要定期进行锻炼，以防止失重环境对身体造成的负面影响。在太空中，宇航员与同伴共同生活和工作，因此良好的团队合作和沟通能力至关重要。'},
{'golden_result': '太空任务的日常生活和工作环境与地球上有很大不同。在国际空间站等太空环境中，宇航员需要适应失重状态，这意味着他们在生活和工作时都会漂浮。宇航员每天需要进行多项科学实验、维修设备和保持空间站的正常运行。\n\n在太空中，宇航员的作息时间与地球上相似，每天工作约8小时，休息8小时，剩余时间用于锻炼、进食和休闲活动。由于太空环境中没有自然光线，宇航员需要依靠人造光源来调整生物钟。\n\n太空中的饮食主要是预先加工和包装好的食物，宇航员需要通过特殊设备来加热和食用。此外，宇航员每天都需要进行约2小时的锻炼，以防止失重环境对身体造成的负面影响，如肌肉萎缩和骨密度减少。\n\n总的来说，太空任务的日常生活和工作环境具有挑战性，宇航员需要适应失重状态、保持身体健康并完成任务目标。'}],
'prompt_input': {'prompt': '你需要扮演一名专业的宇航员训练顾问，你必须遵循参考对话流程中的一个步骤回答用户，但不能给出其他任何步骤的回答。\n\n参考对话流程：\n1. 询问用户对太空探索或宇航员训练的兴趣。\n2. 解释成为宇航员所需的基本条件和技能。\n3. 概述宇航员的训练过程和挑战。\n4. 讨论太空任务的日常生活和工作环境。\n5. 提供相关的教育和训练资源信息。\n\n当前历史对话为：user: 你好，我对太空探索和宇航员训练很感兴趣。\nyou: 你好！很高兴你对太空探索和宇航员训练感兴趣。我是一名宇航员训练顾问，我可以回答你关于这方面的问题。\nuser: 请问成为宇航员需要具备哪些基本条件和技能？\nyou: 成为宇航员需要具备一定的基本条件和技能。首先，你需要拥有良好的身体素质，因为在太空中生活和工作需要承受极端环境。其次，你需要具备一定的教育背景，通常是在工程、科学、数学或计算机科学领域的学士学位。此外，宇航员还需要具备一定的飞行经验和团队合作能力。\nuser: 宇航员的训练过程和挑战是什么？\nyou: 宇航员的训练过程包括基本训练和任务训练两个阶段。基本训练主要包括生存训练、航天飞行器操作、空间行走训练等。任务训练则针对特定的太空任务，如科学实验、维修任务等。在训练过程中，宇航员需要面对许多挑战，如适应失重环境、应对紧急情况、进行高强度的体力和心理训练等。\n\n用户当前问题为：太空任务的日常生活和工作环境是怎样的？'}}

test的prompt input和train的input完全相同，且train的output就为test的第一个golden result
还有不少KAgentBench的query在KAgentInstruct中出现。

另外，#18 中的问题仍然存在

{"type": "chatml", "messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Answer the following questions as best you can. You have access to the following tools:\n\n['API Name: video-generation\nDescription: Generate a video describing the given text input.\nRequired Arguments: \n- text (string) : User input text\n', 'API Name: text-translation-zh2en\nDescription: Translate Chinese text input to English.\nRequired Arguments: \n- text (string) : User input Chinese text\n', 'API Name: image-generation\nDescription: Generate an image based on the provided text input.\nRequired Arguments: \n- text (string) : User input text\n']\n\nUse the following format:\n\nQuestion: the input question you must answer\nThought: you should always think about what to do\nAction: the action to take, should be one of [duckduckgo_search, Wikipedia, Calculator]\nAction Input: the input to the action\nObservation: the result of the action\n... (this Thought/Action/Action Input/Observation can repeat N times)\nThought: I now know the final answer\nFinal Answer: the final answer to the original input question\n\nBegin!\n\nQuestion: 对比两种舞蹈表演风格，阐述差异和现代化发展趋势。\nThought:"}

instrunction要求的 Action: the action to take, should be one of [duckduckgo_search, Wikipedia, Calculator]\n，并没有出现在给出的api里面存在矛盾

Results of KAgentSys-Lite on KAgentBench

Thanks for your great work! It appears that the open-sourced KAgentSys-Lite may have limitations compared to the more powerful tools used in KAgentSys as described in the paper. As a result, it is crucial to understand what the experimental results of KAgentSys-Lite would be on KAgentBench, similar to the results presented in Table 3 of the paper. This information holds significant importance for the users of KAgentSys-Lite.

kwaikeg/kagentlms_qwen_14b_mat有量化版本吗？

vllm，用awq有问题

from awq import AutoAWQForCausalLM
from transformers import AutoTokenizer

model_path = '/home/ubuntu/kagentlms_qwen_14b_mat'
quant_path = 'kagentlms_qwen14bmat-awq'
quant_config = { "zero_point": True, "q_group_size": 128, "w_bit": 8, "version": "GEMM" }

model = AutoAWQForCausalLM.from_pretrained(model_path, **{"low_cpu_mem_usage": True})
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)

model.quantize(tokenizer, quant_config=quant_config)

model.save_quantized(quant_path)
tokenizer.save_pretrained(quant_path)

RuntimeError: cutlassF: no kernel found to launch!

用llama.cpp， python3 convert-hf-to-gguf.py ../kagentlms_qwen_14b_mat/ --outfile ../kagentlms_qwen14bmat.gguf

错误是：
FileNotFoundError: [Errno 2] No such file or directory: '../kagentlms_qwen_14b_mat/pytorch_model-00001-of-00004.bin'

kagentlms_baichuan2_13b_mat无法用fastchat部署

hello，我下载了kagentlms_baichuan2_13b_mat模型，但是没办法通过fastchat部署，，以下是报错：

Could not locate the modeling_baichuan.py inside kwaikeg/kagentlms_baichuan2_13b_mat. 我已经在下好模型文件了啊

Training with publish kwaiAgentInstruct dataset

Hello, may we have the training/finetune code with kwaiAgentInstruct, specially finetu ne for Qwen. Thank you!

kwaikeg / kwaiagents Goto Github PK

kwaiagents's Issues

vllm，用awq有问题

用llama.cpp， python3 convert-hf-to-gguf.py ../kagentlms_qwen_14b_mat/ --outfile ../kagentlms_qwen14bmat.gguf

Recommend Projects

Recommend Topics

Recommend Org