docs/troubleshooting/errors/

[giscus[bot]]

docs/troubleshooting/errors/

This page contains guides around resolving common errors you may find while building with LangChain.

https://python.langchain.com/docs/troubleshooting/errors/

[rubberbandman62]

Hi, I try to follow the tutorial "Functions, Tools and Agents with LangChain - Tagging an extraction" on DeepLearning.ai in my own local notebook and get the following error when calling

spec = OpenAPISpec.from_text(text)

with the swagger petstore example:

Attempting to load an OpenAPI 3.0.0 spec. This may result in degraded performance. Convert your OpenAPI spec to 3.1.* spec for better support.

AttributeError Traceback (most recent call last)
Cell In[23], line 1
----> 1 spec = OpenAPISpec.from_text(text)

File ~\AppData\Local\Programs\Python\Python312\Lib\site-packages\langchain_community\utilities\openapi.py:247, in OpenAPISpec.from_text(cls, text)
245 except json.JSONDecodeError:
246 spec_dict = yaml.safe_load(text)
--> 247 return cls.from_spec_dict(spec_dict)

File ~\AppData\Local\Programs\Python\Python312\Lib\site-packages\langchain_community\utilities\openapi.py:238, in OpenAPISpec.from_spec_dict(cls, spec_dict)
235 @classmethod
236 def from_spec_dict(cls, spec_dict: dict) -> OpenAPISpec:
237 """Get an OpenAPI spec from a dict."""
--> 238 return cls.parse_obj(spec_dict)

File ~\AppData\Local\Programs\Python\Python312\Lib\site-packages\langchain_community\utilities\openapi.py:222, in OpenAPISpec.parse_obj(cls, obj)
220 try:
221 cls._alert_unsupported_spec(obj)
--> 222 return super().parse_obj(obj)
223 except ValidationError as e:
224 # We are handling possibly misconfigured specs and
225 # want to do a best-effort job to get a reasonable interface out of it.
226 new_obj = copy.deepcopy(obj)

AttributeError: 'super' object has no attribute 'parse_obj'

In the parallel notebook to the video it works. Does anyone have an idea why I have this problem and how I can I solve ist?