I got pydantic error

[syyunn]

I got the following error when I run python pipeline.py > output.txt.

Traceback (most recent call last): File "/Users/syyun/Dropbox (MIT)/CrawlGPT/pipeline.py", line 11, in from langchain import PromptTemplate, OpenAI, LLMChain File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/init.py", line 6, in from langchain.agents import MRKLChain, ReActChain, SelfAskWithSearchChain File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/agents/init.py", line 2, in from langchain.agents.agent import ( File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/agents/agent.py", line 16, in from langchain.agents.tools import InvalidTool File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/agents/tools.py", line 4, in from langchain.callbacks.manager import ( File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/callbacks/init.py", line 3, in from langchain.callbacks.aim_callback import AimCallbackHandler File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/callbacks/aim_callback.py", line 4, in from langchain.callbacks.base import BaseCallbackHandler File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/callbacks/base.py", line 7, in from langchain.schema import ( File "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/schema.py", line 151, in class ChatGeneration(Generation): File "/Users/syyun/anaconda3/envs/crawlgpt/lib/python3.11/site-packages/pydantic/_internal/_model_construction.py", line 98, in new private_attributes = inspect_namespace( ^^^^^^^^^^^^^^^^^^ File "/Users/syyun/anaconda3/envs/crawlgpt/lib/python3.11/site-packages/pydantic/_internal/_model_construction.py", line 342, in inspect_namespace raise PydanticUserError( pydantic.errors.PydanticUserError: Field 'text' defined on a base class was overridden by a non-annotated attribute. All field definitions, including overrides, require a type annotation.

For further information visit https://errors.pydantic.dev/2.3/u/model-field-overridden

[gh18l]

I haven't encountered this error before, but the answer GPT-4 gave me was:

The error message suggests that there's a problem with Pydantic model definition. Specifically, it appears that a field named text was defined in a base class and then overridden in a subclass without type annotation.

Let's break down the key parts of the error message:

1. Field 'text' defined on a base class was overridden by a non-annotated attribute.: This means that a base class has a field named text with a type annotation, but a subclass has overridden this field without providing a type annotation.

2. All field definitions, including overrides, require a type annotation.: Pydantic models require that all fields, even those that override fields in a base class, have type annotations.

Here's how you might solve the problem:

Option 1: Add Type Annotations to Subclass Field

If the text field is being overridden in a subclass, you should provide a type annotation for it, similar to how it was annotated in the base class. For example:

from pydantic import BaseModel

class BaseClass(BaseModel):
    text: str

class SubClass(BaseClass):
    text: str  # <-- Add type annotation here

Option 2: Remove Unnecessary Override

If the subclass doesn't need to override the field, you can simply remove the field from the subclass.

Option 3: Check for Typo or Unintended Override

Sometimes, a field might be overridden by mistake, due to a typo or copy-paste error. Make sure that the override is actually intended.

Option 4: Update Pydantic

Though less likely, the issue might be related to a bug or compatibility problem with Pydantic. You can try updating Pydantic to the latest version and see if the problem persists.

After making one of these changes, try running your code again to see if the problem is resolved.

It seems you need to add a type annotation like text: str to the subclass in the file "/Users/syyun/Dropbox (MIT)/CrawlGPT/langchain/schema.py", line 151, in class ChatGeneration(Generation)

[cnkailyn]

Downgrade the langchain==0.0.261 is fine for me.