Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Package apache-airflow-providers-common-ai

Release: 1.0.0

AI/LLM hooks and operators for Airflow pipelines using pydantic-ai.

Provider package

This is a provider package for common.ai provider. All classes for this provider package are in airflow.providers.common.ai python package.

You can find package information and changelog for the provider in the documentation.

Installation

You can install this package on top of an existing Airflow installation (see Requirements below for the minimum Airflow version supported) via pip install apache-airflow-providers-common-ai

The package supports the following python versions: 3.11,3.12,3.13,3.14

Requirements

PIP package

Version required

apache-airflow

>=2.11.0

apache-airflow-providers-common-compat

>=1.21.0

apache-airflow-providers-standard

>=1.20.0

pydantic-ai-slim

>=2.36.0

structlog

>=24.2.0

Optional cross provider package dependencies

Those are dependencies that might be needed in order to use all the features of the package. You need to install the specified providers in order to use them.

You can install such cross-provider dependencies when installing from PyPI. For example:

pip install apache-airflow-providers-common-ai[common.sql]

Dependent package

Extra

apache-airflow-providers-common-sql

common.sql

apache-airflow-providers-git

git

apache-airflow-providers-modal

modal

Optional dependencies

Extra

Dependencies

anthropic

pydantic-ai-slim[anthropic]>=2.36.0, anthropic>=1.1.0

bedrock

pydantic-ai-slim[bedrock]>=2.36.0

google

pydantic-ai-slim[google]>=2.36.0

openai

pydantic-ai-slim[openai]>=2.36.0, openai>=2.47.0

typesafe

typesafe-sdk>=0.6.0

mcp

pydantic-ai-slim[mcp]>=2.36.0

modal

apache-airflow-providers-modal, modal>=1.5.2

opensandbox

opensandbox>=1.1.0

boat

boat-sdk>=1.9.3

openshell

openshell>=0.1.2,<0.2, grpcio>=1.78.0, protobuf>=6.31.1

code-mode

pydantic-ai-harness[codemode]>=0.35.0

shields

pydantic-ai-shields>=0.3.4

skills

apache-airflow-providers-git>=0.4.0, pydantic-ai-skills>=1.2.0,<2

islo

islo>=0.3.19

avro

fastavro>=1.10.0; python_version < "3.14", fastavro>=1.12.1; python_version >= "3.14"

parquet

pyarrow>=18.0.0; python_version < '3.14', pyarrow>=22.0.0; python_version >= '3.14'

sql

apache-airflow-providers-common-sql>=2.2.0, sqlglot>=30.0.0

common.sql

apache-airflow-providers-common-sql>=2.2.0

langchain

langchain>=1.0.0

llamaindex

dataclasses-json>=0.6.7, llama-index-core>=0.14.5, llama-index-embeddings-openai>=0.6.0, llama-index-llms-openai>=0.6.8

pdf

pypdf>=4.0.0

docx

python-docx>=1.0.0

git

apache-airflow-providers-git

The changelog for the provider package can be found in the changelog.

Metadata

Release files for apache-airflow-providers-common-ai 1.0.0rc2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for apache-airflow-providers-common-ai 1.0.0rc2
File Size Uploaded
apache_airflow_providers_common_ai-1.0.0rc2.tar.gz 1.6 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for apache-airflow-providers-common-ai 1.0.0rc2
File Interpreter ABI Platform
apache_airflow_providers_common_ai-1.0.0rc2-py3-none-any.whl Python 3 none any Details

Total release size: 2.4 MB

Release files / apache_airflow_providers_common_ai-1.0.0rc2.tar.gz

Download URL apache_airflow_providers_common_ai-1.0.0rc2.tar.gz
Size 1.6 MB
Tags Source
SHA-256 checksum
How to use checksums
4261510fafae2933d6052f6b3831a8df54a107174e5996487debc5bc941b7c91
BLAKE2b-256 checksum
How to use checksums
44ee32c8d19f7e6eab5e4a27365b34acd7fa46fdeb70d2c0d0468a5ace5c00ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.11

Release files / apache_airflow_providers_common_ai-1.0.0rc2-py3-none-any.whl

Download URL apache_airflow_providers_common_ai-1.0.0rc2-py3-none-any.whl
Size 798.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
808e99597698c83bfe60eecf2de41b256ebebfa944f14575680a23348923131f
BLAKE2b-256 checksum
How to use checksums
71ca2314b26c715427ae7418a75e9283e2c375425c21fa3f9df688ae4a01c76e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.11
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page