求助：openapi_base和代理问题

[ahuohuo78]

1.openapi_key可以在用户界面找到，想问下openapi_base的链接是填这个嘛？https://api.openai.com/v1/chat/completions

2.为了使用gpt3.5，需要开代理，我的是代理到10080端口，打开测试web的时候，爬取网页就报错没反应，提示超时和几个关联的错误，如果不开代理，爬取网页则有回显，但是添加文本的按钮没反应，无法同步到数据管理页面，报错一样提示无法连接网页，baseurl也提示连不上。但是在开了代理的情况下，我的电脑是可以正常使用gpt，也可以打开粘贴到测试web文本框中的网址的。最后，无论开不开代理，聊天功能都没有反应（这个聊天是不是只能回答数据管理里的内容？因为数据管理内没数据所以没回复？）

运行后记录的日志如下：
127.0.0.1 - - [07/Jan/2024 20:54:34] "GET / HTTP/1.1" 200 -
127.0.0.1 - - [07/Jan/2024 20:54:34] "GET /static/avatar.jpg HTTP/1.1" 304 -
127.0.0.1 - - [07/Jan/2024 20:54:35] "GET /db/get?page=1&limit=10 HTTP/1.1" 200 -
127.0.0.1 - - [07/Jan/2024 20:54:52] "GET /static/momo.jpg HTTP/1.1" 304 -
[2024-01-07 20:54:52,251] ERROR in app: Exception on /chat/ask [POST]
Traceback (most recent call last):
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connectionpool.py", line 712, in urlopen
self._prepare_proxy(conn)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connectionpool.py", line 1012, in _prepare_proxy
conn.connect()
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connection.py", line 369, in connect
self.sock = conn = self._connect_tls_proxy(hostname, conn)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connection.py", line 504, in connect_tls_proxy
socket = ssl_wrap_socket(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\util\ssl.py", line 453, in ssl_wrap_socket
ssl_sock = ssl_wrap_socket_impl(sock, context, tls_in_tls)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\util\ssl.py", line 495, in _ssl_wrap_socket_impl
return ssl_context.wrap_socket(sock)
File "E:\Python\lib\ssl.py", line 500, in wrap_socket
return self.sslsocket_class._create(
File "E:\Python\lib\ssl.py", line 1040, in _create
self.do_handshake()
File "E:\Python\lib\ssl.py", line 1309, in do_handshake
self._sslobj.do_handshake()
OSError: [Errno 0] Error

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\requests\adapters.py", line 486, in send
resp = conn.urlopen(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connectionpool.py", line 827, in urlopen
return self.urlopen(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connectionpool.py", line 827, in urlopen
return self.urlopen(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\connectionpool.py", line 799, in urlopen
retries = retries.increment(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\urllib3\util\retry.py", line 592, in increment
raise MaxRetryError(_pool, url, error or ResponseError(cause))
urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/chat/completions/embeddings (Caused by ProxyError('Cannot connect to proxy.', OSError(0, 'Error')))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\openai\api_requestor.py", line 606, in request_raw
result = _thread_context.session.request(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\requests\adapters.py", line 513, in send
raise ProxyError(e, request=request)
requests.exceptions.ProxyError: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/chat/completions/embeddings (Caused by ProxyError('Cannot connect to proxy.', OSError(0, 'Error')))

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

Traceback (most recent call last):
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\flask\app.py", line 2190, in wsgi_app
response = self.full_dispatch_request()
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\flask\app.py", line 1486, in full_dispatch_request
rv = self.handle_user_exception(e)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\flask\app.py", line 1484, in full_dispatch_request
rv = self.dispatch_request()
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\flask\app.py", line 1469, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "E:\AI_Helper\llm_knowledge-master\web_init_.py", line 90, in ask_question
"answer": embedding.ask_question(data["question"])
File "E:\AI_Helper\llm_knowledge-master\embedding_init_.py", line 42, in ask_question
content = self.__db.query_text(text, 1)
File "E:\AI_Helper\llm_knowledge-master\embedding\vectordb\chromadb.py", line 29, in query_text
results = self.__collection.query(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\chromadb\api\models\Collection.py", line 327, in query
valid_query_embeddings = self._embed(input=valid_query_texts)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\chromadb\api\models\Collection.py", line 633, in _embed
return self._embedding_function(input=input)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\chromadb\utils\embedding_functions.py", line 194, in call
embeddings = self._client.create(input=input, model=self._model_name)[
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\openai\api_resources\embedding.py", line 33, in create
response = super().create(*args, **kwargs)
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 155, in create
response, _, api_key = requestor.request(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\openai\api_requestor.py", line 289, in request
result = self.request_raw(
File "E:\AI_Helper\llm_knowledge-master\venv\lib\site-packages\openai\api_requestor.py", line 619, in request_raw
raise error.APIConnectionError(
openai.error.APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/chat/completions/embeddings (Caused by ProxyError('Cannot connect to proxy.', OSError(0, 'Error')))
127.0.0.1 - - [07/Jan/2024 20:54:52] "POST /chat/ask HTTP/1.1" 500 -

如果要在代码中增加代理，是哪些.py文件需要修改呢？如果要改的地方太多，则仅仅在调用API的地方增加代理是不是好一点？【添加文本】按钮是不是用到了API？