BigQueryAI LangChain Deprecation Error

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  • ¿Algo no está bien?
#112 2 comentarios 0 reacciones 1 asignado Ver en GitHub

@leejw51crypto ya está trabajando en esto.

Desde el 30/7/2025.

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Descripción

good first issue
Issue

When interacting with bigquery.py using input help, the following error occurs:

LangChainDeprecationWarning: The method `BaseTool.__call__` was deprecated in langchain-core 0.1.47 and will be removed in 1.0. Use :meth:`~invoke` instead.
  print(tools.explain_bigquery_usage())
[ERROR] Failed to initialize agent: BaseTool.__call__() missing 1 required positional argument: 'tool_input'

When interacting with bigquery.py using inputs like limits, cost or info, the following error occurs:

LangChainDeprecationWarning: The method `BaseTool.__call__` was deprecated in langchain-core 0.1.47 and will be removed in 1.0. Use :meth:`~invoke` instead.
  print(tools.get_bigquery_cost_info())
[ERROR] Failed to initialize agent: BaseTool.__call__() missing 1 required positional argument: 'tool_input'

When interacting with bigquery.py using inputs like dataset, data, or tables, the following error occurs:

LangChainDeprecationWarning: The method `BaseTool.__call__` was deprecated in langchain-core 0.1.47 and will be removed in 1.0. Use :meth:`~invoke` instead.
  print(tools.get_bigquery_dataset_info())
[ERROR] Failed to initialize agent: BaseTool.__call__() missing 1 required positional argument: 'tool_input'
Verified Fix

https://github.com/crypto-com/developer-platform-sdk-examples/blob/393ae23338e7ca289a068127b9507afe4ab4bcd2/integrations/bigqueryai/bigquery.py#L145
Update to:

print(tools.explain_bigquery_usage.invoke(""))

https://github.com/crypto-com/developer-platform-sdk-examples/blob/393ae23338e7ca289a068127b9507afe4ab4bcd2/integrations/bigqueryai/bigquery.py#L149
Update to:

print(tools.get_bigquery_cost_info.invoke(""))

https://github.com/crypto-com/developer-platform-sdk-examples/blob/393ae23338e7ca289a068127b9507afe4ab4bcd2/integrations/bigqueryai/bigquery.py#L153
Update to:

print(tools.get_bigquery_dataset_info.invoke(""))
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