==========代码：
from paperqa import Docs, LangchainVectorStore, LangchainEmbeddingModel, SentenceTransformerEmbeddingModel, SparseEmbeddingModel
from langchain_community.chat_models import ChatZhipuAI
from langchain_community.embeddings import ZhipuAIEmbeddings, QianfanEmbeddingsEndpoint, SparkLLMTextEmbeddings
from langchain_community.vectorstores.faiss import FAISS
# get a list of paths
my_docs = [
    '/code/火星峡谷网研究的现状_问题与展望_史语桐.pdf',
    # './bert.pdf',
]
# my_online_docs = [
#     'https://arxiv.org/pdf/1810.04805',
# ]
docs = Docs(
    llm="langchain", 
    client=ChatZhipuAI(),
    # 使用本地的embeding库
     embedding="sentence-transformers"
    
    # 使用线上模型
    # embedding="langchain",
    # embedding_client=ZhipuAIEmbeddings(model="embedding-3"),   # 有bug
    # embedding_client=SparkLLMTextEmbeddings() 
    # embedding_client=QianfanEmbeddingsEndpoint()               # 可用，但连接有时候不稳定
)
# 本地文件读取
for d in my_docs:
    docs.add(path=d, chunk_chars=300, disable_check=True)
# 网络文件读取
# for u in my_online_docs:
#     docs.add_url(url=u, chunk_chars=300)
# answer = docs.query(
#     "What are the key features that differentiate BERT from previous language representation models?"
# )
answer = docs.query(
    "这篇文章讲的什么内容？请用中文回答"
)
print(answer.formatted_answer)

==========报错：
root@pcb8d0abed7b40e68b6eb7e53ce17548-task0-0:/#  cd / ; /usr/bin/env /opt/conda/bin/python /root/.local/share/code-server/extensions/ms-python.debugpy-2024.8.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher 55121 -- /code/chat-paper-glm4.py 
/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
Ignoring wrong pointing object 12 0 (offset 0)
Ignoring wrong pointing object 59 0 (offset 0)
Ignoring wrong pointing object 75 0 (offset 0)
Ignoring wrong pointing object 77 0 (offset 0)
Ignoring wrong pointing object 107 0 (offset 0)
Traceback (most recent call last):
  File "/code/chat-paper-glm4.py", line 31, in <module>
    docs.add(path=d, chunk_chars=300, disable_check=True)
  File "/code/paper-qa/paperqa/docs.py", line 353, in add
    return loop.run_until_complete(
  File "/opt/conda/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
    return future.result()
  File "/code/paper-qa/paperqa/docs.py", line 388, in aadd
    chain_result = await cite_chain({"text": texts[0].text}, None)
  File "/code/paper-qa/paperqa/llms.py", line 305, in execute
    output = await self.achat(client, messages)
  File "/code/paper-qa/paperqa/llms.py", line 731, in achat
    return (await client.ainvoke(lc_messages, **self.config)).content
  File "/opt/conda/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 307, in ainvoke
    llm_result = await self.agenerate_prompt(
  File "/opt/conda/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 796, in agenerate_prompt
    return await self.agenerate(
  File "/opt/conda/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 756, in agenerate
    raise exceptions[0]
  File "/opt/conda/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 924, in _agenerate_with_cache
    result = await self._agenerate(
  File "/opt/conda/lib/python3.10/site-packages/langchain_community/chat_models/zhipuai.py", line 653, in _agenerate
    response.raise_for_status()
  File "/opt/conda/lib/python3.10/site-packages/httpx/_models.py", line 761, in raise_for_status
    raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '429 Too Many Requests' for url 'https://open.bigmodel.cn/api/paas/v4/chat/completions'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429
root@pcb8d0abed7b40e68b6eb7e53ce17548-task0-0:/#