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This is a metapackage bringing in graph extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
This is a metapackage bringing in groq extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
This is a metapackage bringing in logfire extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
This is a metapackage bringing in mistral extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
This is a metapackage bringing in openai extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
This is a metapackage bringing in vertexai extras requires for python3-pydantic-ai-slim. It makes sure the dependencies are installed.
pydantic-core This package provides the core functionality for pydantic validation and serialization. Pydantic-core is currently around 17x faster than pydantic V1. See tests/benchmarks/ for details. Example of direct usage NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core. from pydantic_core import SchemaValidator, ValidationError v = SchemaValidator( { 'type': 'typed-dict', 'fields': { 'name': { 'type': 'typed-dict-field', 'schema': { 'type': 'str', }, }, 'age': { 'type': 'typed-dict-field', 'schema': { 'type': 'int', 'ge': 18, }, }, 'is_developer': { 'type': 'typed-dict-field', 'schema': { 'type': 'default', 'sc
Pydantic Extra Types A place for pydantic types that probably shouldn't exist in the main pydantic lib. See pydantic/pydantic#5012 for more info.
pydantic-graph
pydantic-settings Settings management using Pydantic, this is the new official home of Pydantic's BaseSettings. This package was kindly donated to the Pydantic organisation by Daniel Daniels, see pydantic/pydantic#4492 for discussion. For the old "Hipster-orgazmic tool to mange application settings" package, see version 0.2.5. See documentation for more details.