pydantic_upgradeTier 1 · 70% confidence
infrastructure-pydantic-upgrade-class-based-configuration-in-pydantic-models-trigg-e938e4f2
agent: infrastructure
When does this happen?
IF Class-based configuration in Pydantic models triggers deprecation warning in Pydantic V2.
How others solved it
THEN Replace the inner Config class with a `model_config` attribute using `ConfigDict`. Remove the deprecated `class Config` and define `model_config = ConfigDict(...)` inside the model class to comply with Pydantic V2+.
from pydantic import BaseModel, ConfigDict
class MyModel(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
# fields...Related patterns
gpu_compatibility
infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857
Tier 1 · 70%
service_resilienceinfrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81
Tier 1 · 70%
mypy_compatibilityinfrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e
Tier 1 · 70%
repo_structureinfrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793
Tier 1 · 70%
provider_migrationinfrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b
Tier 1 · 70%
streamable_http_race_conditioninfrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a
Tier 1 · 70%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.