openai接口调用问题
我的代码：
# hello world
from langchain.llms import OpenAI
import os
api_base = os.getenv("OPENAI_API_BASE")
api_key = os.getenv("OPENAI_KEY")
llm = OpenAI(
model="gpt-3.5-turbo-instruct",
temperature=0,
openai_api_key=api_key,
openai_api_base=api_base
)
llm.predict("介绍下你自己")
报错信息：
{
"name": "APIConnectionError",
"message": "Error communicating with OpenAI: HTTPSConnectionPool(host='ai-yyds.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 400 Bad Request')))",
"stack": "---------------------------------------------------------------------------
OSError Traceback (most recent call last)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connectionpool.py:779, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)
778 try:
--> 779 self._prepare_proxy(conn)
780 except (BaseSSLError, OSError, SocketTimeout) as e:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connectionpool.py:1048, in HTTPSConnectionPool._prepare_proxy(self, conn)
1042 conn.set_tunnel(
1043 scheme=tunnel_scheme,
1044 host=self._tunnel_host,
1045 port=self.port,
1046 headers=self.proxy_headers,
1047 )
-> 1048 conn.connect()
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connection.py:633, in HTTPSConnection.connect(self)
631 self._has_connected_to_proxy = True
--> 633 self._tunnel() # type: ignore[attr-defined]
634 # Override the host with the one we're requesting data from.
File ~/miniconda3/envs/llm-study/lib/python3.10/http/client.py:925, in HTTPConnection._tunnel(self)
924 self.close()
--> 925 raise OSError(f\"Tunnel connection failed: {code} {message.strip()}\")
926 while True:
OSError: Tunnel connection failed: 400 Bad Request
The above exception was the direct cause of the following exception:
ProxyError Traceback (most recent call last)
ProxyError: ('Unable to connect to proxy', OSError('Tunnel connection failed: 400 Bad Request'))
The above exception was the direct cause of the following exception:
MaxRetryError Traceback (most recent call last)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
485 try:
--> 486 resp = conn.urlopen(
487 method=request.method,
488 url=url,
489 body=request.body,
490 headers=request.headers,
491 redirect=False,
492 assert_same_host=False,
493 preload_content=False,
494 decode_content=False,
495 retries=self.max_retries,
496 timeout=timeout,
497 chunked=chunked,
498 )
500 except (ProtocolError, OSError) as err:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connectionpool.py:877, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)
874 log.warning(
875 \"Retrying (%r) after connection broken by '%r': %s\", retries, err, url
876 )
--> 877 return self.urlopen(
878 method,
879 url,
880 body,
881 headers,
882 retries,
883 redirect,
884 assert_same_host,
885 timeout=timeout,
886 pool_timeout=pool_timeout,
887 release_conn=release_conn,
888 chunked=chunked,
889 body_pos=body_pos,
890 preload_content=preload_content,
891 decode_content=decode_content,
892 **response_kw,
893 )
895 # Handle redirect?
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connectionpool.py:877, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)
874 log.warning(
875 \"Retrying (%r) after connection broken by '%r': %s\", retries, err, url
876 )
--> 877 return self.urlopen(
878 method,
879 url,
880 body,
881 headers,
882 retries,
883 redirect,
884 assert_same_host,
885 timeout=timeout,
886 pool_timeout=pool_timeout,
887 release_conn=release_conn,
888 chunked=chunked,
889 body_pos=body_pos,
890 preload_content=preload_content,
891 decode_content=decode_content,
892 **response_kw,
893 )
895 # Handle redirect?
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/connectionpool.py:847, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)
845 new_e = ProtocolError(\"Connection aborted.\", new_e)
--> 847 retries = retries.increment(
848 method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
849 )
850 retries.sleep()
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/urllib3/util/retry.py:515, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
514 reason = error or ResponseError(cause)
--> 515 raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
517 log.debug(\"Incremented Retry for (url='%s'): %r\", url, new_retry)
MaxRetryError: HTTPSConnectionPool(host='ai-yyds.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 400 Bad Request')))
During handling of the above exception, another exception occurred:
ProxyError Traceback (most recent call last)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/openai/api_requestor.py:606, in APIRequestor.request_raw(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)
605 try:
--> 606 result = _thread_context.session.request(
607 method,
608 abs_url,
609 headers=headers,
610 data=data,
611 files=files,
612 stream=stream,
613 timeout=request_timeout if request_timeout else TIMEOUT_SECS,
614 proxies=_thread_context.session.proxies,
615 )
616 except requests.exceptions.Timeout as e:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
588 send_kwargs.update(settings)
--> 589 resp = self.send(prep, **send_kwargs)
591 return resp
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
702 # Send the request
--> 703 r = adapter.send(request, **kwargs)
705 # Total elapsed time of the request (approximately)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
512 if isinstance(e.reason, _ProxyError):
--> 513 raise ProxyError(e, request=request)
515 if isinstance(e.reason, _SSLError):
516 # This branch is for urllib3 v1.22 and later.
ProxyError: HTTPSConnectionPool(host='ai-yyds.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 400 Bad Request')))
The above exception was the direct cause of the following exception:
APIConnectionError Traceback (most recent call last)
Cell In[24], line 13
6 api_key = os.getenv(\"OPENAI_KEY\")
7 llm = OpenAI(
8 model=\"gpt-3.5-turbo-instruct\",
9 temperature=0,
10 openai_api_key=api_key,
11 openai_api_base=api_base
12 )
---> 13 llm.predict(\"介绍下你自己\")
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:148, in deprecated.<locals>.deprecate.<locals>.warning_emitting_wrapper(*args, **kwargs)
146 warned = True
147 emit_warning()
--> 148 return wrapped(*args, **kwargs)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/language_models/llms.py:1127, in BaseLLM.predict(self, text, stop, **kwargs)
1125 else:
1126 _stop = list(stop)
-> 1127 return self(text, stop=_stop, **kwargs)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:148, in deprecated.<locals>.deprecate.<locals>.warning_emitting_wrapper(*args, **kwargs)
146 warned = True
147 emit_warning()
--> 148 return wrapped(*args, **kwargs)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/language_models/llms.py:1086, in BaseLLM.__call__(self, prompt, stop, callbacks, tags, metadata, **kwargs)
1079 if not isinstance(prompt, str):
1080 raise ValueError(
1081 \"Argument `prompt` is expected to be a string. Instead found \"
1082 f\"{type(prompt)}. If you want to run the LLM on multiple prompts, use \"
1083 \"`generate` instead.\"
1084 )
1085 return (
-> 1086 self.generate(
1087 [prompt],
1088 stop=stop,
1089 callbacks=callbacks,
1090 tags=tags,
1091 metadata=metadata,
1092 **kwargs,
1093 )
1094 .generations[0][0]
1095 .text
1096 )
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/language_models/llms.py:803, in BaseLLM.generate(self, prompts, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)
788 if (self.cache is None and get_llm_cache() is None) or self.cache is False:
789 run_managers = [
790 callback_manager.on_llm_start(
791 dumpd(self),
(...)
801 )
802 ]
--> 803 output = self._generate_helper(
804 prompts, stop, run_managers, bool(new_arg_supported), **kwargs
805 )
806 return output
807 if len(missing_prompts) > 0:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/language_models/llms.py:670, in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
668 for run_manager in run_managers:
669 run_manager.on_llm_error(e, response=LLMResult(generations=[]))
--> 670 raise e
671 flattened_outputs = output.flatten()
672 for manager, flattened_output in zip(run_managers, flattened_outputs):
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_core/language_models/llms.py:657, in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
647 def _generate_helper(
648 self,
649 prompts: List[str],
(...)
653 **kwargs: Any,
654 ) -> LLMResult:
655 try:
656 output = (
--> 657 self._generate(
658 prompts,
659 stop=stop,
660 # TODO: support multiple run managers
661 run_manager=run_managers[0] if run_managers else None,
662 **kwargs,
663 )
664 if new_arg_supported
665 else self._generate(prompts, stop=stop)
666 )
667 except BaseException as e:
668 for run_manager in run_managers:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_community/llms/openai.py:460, in BaseOpenAI._generate(self, prompts, stop, run_manager, **kwargs)
448 choices.append(
449 {
450 \"text\": generation.text,
(...)
457 }
458 )
459 else:
--> 460 response = completion_with_retry(
461 self, prompt=_prompts, run_manager=run_manager, **params
462 )
463 if not isinstance(response, dict):
464 # V1 client returns the response in an PyDantic object instead of
465 # dict. For the transition period, we deep convert it to dict.
466 response = response.dict()
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_community/llms/openai.py:123, in completion_with_retry(llm, run_manager, **kwargs)
119 @retry_decorator
120 def _completion_with_retry(**kwargs: Any) -> Any:
121 return llm.client.create(**kwargs)
--> 123 return _completion_with_retry(**kwargs)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/tenacity/__init__.py:289, in BaseRetrying.wraps.<locals>.wrapped_f(*args, **kw)
287 @functools.wraps(f)
288 def wrapped_f(*args: t.Any, **kw: t.Any) -> t.Any:
--> 289 return self(f, *args, **kw)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/tenacity/__init__.py:379, in Retrying.__call__(self, fn, *args, **kwargs)
377 retry_state = RetryCallState(retry_object=self, fn=fn, args=args, kwargs=kwargs)
378 while True:
--> 379 do = self.iter(retry_state=retry_state)
380 if isinstance(do, DoAttempt):
381 try:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/tenacity/__init__.py:325, in BaseRetrying.iter(self, retry_state)
323 retry_exc = self.retry_error_cls(fut)
324 if self.reraise:
--> 325 raise retry_exc.reraise()
326 raise retry_exc from fut.exception()
328 if self.wait:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/tenacity/__init__.py:158, in RetryError.reraise(self)
156 def reraise(self) -> t.NoReturn:
157 if self.last_attempt.failed:
--> 158 raise self.last_attempt.result()
159 raise self
File ~/miniconda3/envs/llm-study/lib/python3.10/concurrent/futures/_base.py:451, in Future.result(self, timeout)
449 raise CancelledError()
450 elif self._state == FINISHED:
--> 451 return self.__get_result()
453 self._condition.wait(timeout)
455 if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
File ~/miniconda3/envs/llm-study/lib/python3.10/concurrent/futures/_base.py:403, in Future.__get_result(self)
401 if self._exception:
402 try:
--> 403 raise self._exception
404 finally:
405 # Break a reference cycle with the exception in self._exception
406 self = None
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/tenacity/__init__.py:382, in Retrying.__call__(self, fn, *args, **kwargs)
380 if isinstance(do, DoAttempt):
381 try:
--> 382 result = fn(*args, **kwargs)
383 except BaseException: # noqa: B902
384 retry_state.set_exception(sys.exc_info()) # type: ignore[arg-type]
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/langchain_community/llms/openai.py:121, in completion_with_retry.<locals>._completion_with_retry(**kwargs)
119 @retry_decorator
120 def _completion_with_retry(**kwargs: Any) -> Any:
--> 121 return llm.client.create(**kwargs)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/openai/api_resources/completion.py:25, in Completion.create(cls, *args, **kwargs)
23 while True:
24 try:
---> 25 return super().create(*args, **kwargs)
26 except TryAgain as e:
27 if timeout is not None and time.time() > start + timeout:
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/openai/api_resources/abstract/engine_api_resource.py:155, in EngineAPIResource.create(cls, api_key, api_base, api_type, request_id, api_version, organization, **params)
129 @classmethod
130 def create(
131 cls,
(...)
138 **params,
139 ):
140 (
141 deployment_id,
142 engine,
(...)
152 api_key, api_base, api_type, api_version, organization, **params
153 )
--> 155 response, _, api_key = requestor.request(
156 \"post\",
157 url,
158 params=params,
159 headers=headers,
160 stream=stream,
161 request_id=request_id,
162 request_timeout=request_timeout,
163 )
165 if stream:
166 # must be an iterator
167 assert not isinstance(response, OpenAIResponse)
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/openai/api_requestor.py:289, in APIRequestor.request(self, method, url, params, headers, files, stream, request_id, request_timeout)
278 def request(
279 self,
280 method,
(...)
287 request_timeout: Optional[Union[float, Tuple[float, float]]] = None,
288 ) -> Tuple[Union[OpenAIResponse, Iterator[OpenAIResponse]], bool, str]:
--> 289 result = self.request_raw(
290 method.lower(),
291 url,
292 params=params,
293 supplied_headers=headers,
294 files=files,
295 stream=stream,
296 request_id=request_id,
297 request_timeout=request_timeout,
298 )
299 resp, got_stream = self._interpret_response(result, stream)
300 return resp, got_stream, self.api_key
File ~/miniconda3/envs/llm-study/lib/python3.10/site-packages/openai/api_requestor.py:619, in APIRequestor.request_raw(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)
617 raise error.Timeout(\"Request timed out: {}\".format(e)) from e
618 except requests.exceptions.RequestException as e:
--> 619 raise error.APIConnectionError(
620 \"Error communicating with OpenAI: {}\".format(e)
621 ) from e
622 util.log_debug(
623 \"OpenAI API response\",
624 path=abs_url,
(...)
627 request_id=result.headers.get(\"X-Request-Id\"),
628 )
629 # Don't read the whole stream for debug logging unless necessary.
APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='ai-yyds.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 400 Bad Request')))"
}
378
收起
正在回答 回答被采纳积分+3
1回答
tomiezhang
2024-04-30 18:24:16
-
回复 tomiezhang： 1. 版本问题检查过了 2. 模型也换过了 😭不知道是啥情况 老是 Error communicating with OpenAI: HTTPSConnectionPool(host='ai-yyds.com', port=443) 时好时坏的，偶尔会正常运行，大部分都是报连接错误。 vpn地址也换过，网上说urlib3版本换成1.25.11也试过😭。奔溃了
有任何疑惑可以回复我~ 2024-04-30 21:43:00
点开查看后面3条评论
相似问题
openai 调用 无效令牌
372
0
12
python能调用java的 jf接口吗老师
1000
0
4
用wx.request 调接口走fail 不能调用
1246
0
12
openai 物理号,虚拟号注册都过不了
371
0
4
接口调用没反应
872
0
4
登录后可查看更多问答，登录/注册
