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xszyou / Fay

Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guides, broadcasters, assistants, waiters, teachers, and voice or text-based mobile assistants.
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同样用openai apikey，助手分支运行报错，售卖员分支正常 #94

Closed ChaocunChen closed 9 months ago

ChaocunChen commented 9 months ago

助手分支运行 python main.py 报错 Retrying langchain_community.embeddings.openai.embed_with_retry.._embed_with_retry in 4.0 seconds as it raised APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/embeddings (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)'))). 但是售卖员分支运行是正常的，同样用openai的aip key

ChaocunChen commented 9 months ago

完整报错信息 C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\requests__init__.py:102: RequestsDependencyWarning: urllib3 (1.26.18) or chardet (5.2.0)/charset_normalizer (2.0.12) doesn't match a supported version! warnings.warn("urllib3 ({}) or chardet ({})/charset_normalizer ({}) doesn't match a supported " pygame 2.1.3 (SDL 2.0.22, Python 3.8.18) Hello from the pygame community. https://www.pygame.org/contribute.html Retrying langchain_community.embeddings.openai.embed_with_retry.._embed_with_retry in 4.0 seconds as it raised APIConnectionError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/embeddings (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)'))). Traceback (most recent call last): File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connectionpool.py", line 712, in urlopen self._prepare_proxy(conn) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connectionpool.py", line 1012, in _prepare_proxy conn.connect() File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connection.py", line 369, in connect self.sock = conn = self._connect_tls_proxy(hostname, conn) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connection.py", line 504, in _connect_tls_proxy socket = ssl_wrapsocket( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\util\ssl.py", line 453, in ssl_wrap_socket ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_intls) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\util\ssl.py", line 495, in _ssl_wrap_socket_impl return ssl_context.wrap_socket(sock) File "C:\Users\soft\anaconda3\envs\langchain\lib\ssl.py", line 500, in wrap_socket return self.sslsocket_class._create( File "C:\Users\soft\anaconda3\envs\langchain\lib\ssl.py", line 1073, in _create self.do_handshake() File "C:\Users\soft\anaconda3\envs\langchain\lib\ssl.py", line 1342, in do_handshake self._sslobj.do_handshake() ssl.SSLZeroReturnError: TLS/SSL connection has been closed (EOF) (_ssl.c:1131)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\requests\adapters.py", line 439, in send resp = conn.urlopen( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connectionpool.py", line 827, in urlopen return self.urlopen( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connectionpool.py", line 827, in urlopen return self.urlopen( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\urllib3\connectionpool.py", line 799, in urlopen retries = retries.increment( File "C:\Users\soft\anaconda3\envs\langchain\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/embeddings (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)')))

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\openai\api_requestor.py", line 606, in request_raw result = _thread_context.session.request( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\requests\sessions.py", line 542, in request resp = self.send(prep, send_kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\requests\sessions.py", line 655, in send r = adapter.send(request, kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\requests\adapters.py", line 514, in send raise SSLError(e, request=request) requests.exceptions.SSLError: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/embeddings (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)')))

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

Traceback (most recent call last): File ".\main.py", line 10, in from gui import flask_server File "C:\Users\soft\PycharmProjects\fay-assistant\gui\flask_server.py", line 9, in import fay_booter File "C:\Users\soft\PycharmProjects\fay-assistant\fay_booter.py", line 5, in from core.fay_core import FeiFei File "C:\Users\soft\PycharmProjects\fay-assistant\core\fay_core.py", line 28, in from agent import agent_service File "C:\Users\soft\PycharmProjects\fay-assistant\agent\agent_service.py", line 9, in agent = FayAgentCore() File "C:\Users\soft\PycharmProjects\fay-assistant\agent\fay_agent.py", line 52, in init memory.save_context({"input": "我的基本信息是?"}, {"output": attr_info}) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain\memory\vectorstore.py", line 74, in save_context self.retriever.add_documents(documents) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_core\vectorstores.py", line 696, in add_documents return self.vectorstore.add_documents(documents, kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_core\vectorstores.py", line 122, in add_documents return self.add_texts(texts, metadatas, kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\vectorstores\faiss.py", line 226, in add_texts embeddings = self._embed_documents(texts) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\vectorstores\faiss.py", line 138, in _embed_documents return self.embedding_function.embed_documents(texts) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\embeddings\openai.py", line 667, in embed_documents return self._get_len_safe_embeddings(texts, engine=engine) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\embeddings\openai.py", line 493, in _get_len_safe_embeddings response = embed_with_retry( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\embeddings\openai.py", line 123, in embed_with_retry return _embed_with_retry(kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\tenacity__init.py", line 289, in wrapped_f return self(f, *args, **kw) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\tenacity__init.py", line 379, in call do = self.iter(retry_state=retry_state) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\tenacity__init__.py", line 325, in iter raise retry_exc.reraise() File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\tenacity\init__.py", line 158, in reraise raise self.last_attempt.result() File "C:\Users\soft\anaconda3\envs\langchain\lib\concurrent\futures_base.py", line 437, in result return self.get_result() File "C:\Users\soft\anaconda3\envs\langchain\lib\concurrent\futures_base.py", line 389, in get_result raise self._exception File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\tenacity\init.py", line 382, in call__ result = fn(*args, kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\langchain_community\embeddings\openai.py", line 120, in _embed_with_retry response = embeddings.client.create(*kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\openai\api_resources\embedding.py", line 33, in create response = super().create(args, **kwargs) File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\openai\api_resources\abstract\engine_apiresource.py", line 155, in create response, , api_key = requestor.request( File "C:\Users\soft\anaconda3\envs\langchain\lib\site-packages\openai\api_requestor.py", line 289, in request result = self.request_raw( File "C:\Users\soft\anaconda3\envs\langchain\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/embeddings (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)'))) 大佬帮忙看下