Home / Function/ generate_schema_pydantic() — langchain Function Reference

generate_schema_pydantic() — langchain Function Reference

Architecture documentation for the generate_schema_pydantic() function in chat_models.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  0d0c2ef9_6e72_e896_406c_5d0efb7b8c80["generate_schema_pydantic()"]
  800328f8_146b_5627_606c_69f021e66915["chat_models.py"]
  0d0c2ef9_6e72_e896_406c_5d0efb7b8c80 -->|defined in| 800328f8_146b_5627_606c_69f021e66915
  style 0d0c2ef9_6e72_e896_406c_5d0efb7b8c80 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/standard-tests/langchain_tests/unit_tests/chat_models.py lines 27–36

def generate_schema_pydantic() -> Any:
    """Works with either pydantic 1 or 2."""

    class PersonA(BaseModel):
        """Record attributes of a person."""

        name: str = Field(..., description="The name of the person.")
        age: int = Field(..., description="The age of the person.")

    return PersonA

Domain

Subdomains

Frequently Asked Questions

What does generate_schema_pydantic() do?
generate_schema_pydantic() is a function in the langchain codebase, defined in libs/standard-tests/langchain_tests/unit_tests/chat_models.py.
Where is generate_schema_pydantic() defined?
generate_schema_pydantic() is defined in libs/standard-tests/langchain_tests/unit_tests/chat_models.py at line 27.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free