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Posted to commits@airflow.apache.org by "Lee-W (via GitHub)" <gi...@apache.org> on 2026/07/07 14:53:16 UTC
[PR] Add quick start guide to common.ai provider docs [airflow]
Lee-W opened a new pull request, #69552:
URL: https://github.com/apache/airflow/pull/69552
New docs/quickstart.rst walks a new user from install through the Pydantic AI connection to a first @task.llm Dag, linking into the existing guides; wired as the first Guides toctree entry.
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3549995518
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
Review Comment:
Changed it to `pip install "apache-airflow-providers-common-ai[<extra>]"` so copying it without reading breaks as expected. Also added a "Choosing extras" section to `index.rst` grouping the 16 extras by usage.
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on PR #69552:
URL: https://github.com/apache/airflow/pull/69552#issuecomment-4923021754
<img width="3115" height="6873" alt="image" src="https://github.com/user-attachments/assets/6ba1f8ae-cb0c-4705-9d42-4c7c052b0eac" />
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3550002188
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
+
+2. Configure the connection
+----------------------------
+
+Every LLM call goes through a Pydantic AI connection (``conn_type`` ``pydanticai``,
+default connection id ``pydanticai_default``). The model is set in ``provider:model``
+format and the API key goes in the password field. See :ref:`howto/connection:pydanticai`
+for the full reference, including providers that
+don't need an API key (Bedrock, Vertex AI).
+
+The quickest way to set one up is an environment variable:
+
+.. code-block:: bash
+
+ export AIRFLOW_CONN_PYDANTICAI_DEFAULT='{"conn_type": "pydanticai", "password": "sk-...", "extra": "{\"model\": \"openai:gpt-5.3\"}"}'
+
+Or add it through the Airflow UI (``Admin > Connections``) or the CLI (``airflow connections add``).
+
+3. Write your first Dag
+------------------------
+
+The ``@task.llm`` decorator turns a function that returns a prompt string into
+a task that sends that prompt to the LLM and returns its response:
+
+.. code-block:: python
Review Comment:
Moved this Dag into `example_quickstart.py`. Thanks!
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3567533064
##########
providers/common/ai/docs/index.rst:
##########
@@ -86,6 +92,23 @@ OpenAI, Anthropic, or other pydantic-ai-supported connection:
:start-after: [START howto_operator_llm_basic]
:end-before: [END howto_operator_llm_basic]
+Choosing extras
+----------------
+
+The provider's extras split into a few groups:
+
+* **Model providers** — ``openai``, ``anthropic``, ``google``, ``bedrock``: pick the one
Review Comment:
Instead of the one from PyPI, https://pydantic.dev/docs/ai/overview/install/#slim-install is easier to read. Updated the description with this instead. Thanks!
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W merged PR #69552:
URL: https://github.com/apache/airflow/pull/69552
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3550000863
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
Review Comment:
Added a "Before you start" note (Airflow 3.0+ prerequisite, API key requirement, and a warning that step 3 makes a real billed call), and reworded it to plainer wording.
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "gopidesupavan (via GitHub)" <gi...@apache.org>.
gopidesupavan commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3560217263
##########
providers/common/ai/docs/index.rst:
##########
@@ -86,6 +92,23 @@ OpenAI, Anthropic, or other pydantic-ai-supported connection:
:start-after: [START howto_operator_llm_basic]
:end-before: [END howto_operator_llm_basic]
+Choosing extras
+----------------
+
+The provider's extras split into a few groups:
+
+* **Model providers** — ``openai``, ``anthropic``, ``google``, ``bedrock``: pick the one
Review Comment:
can we reference what extras exists https://pypi.org/project/pydantic-ai/ becuase for each model the extra is different
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "kaxil (via GitHub)" <gi...@apache.org>.
kaxil commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3542711077
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
Review Comment:
The base package pulls only `pydantic-ai-slim` (no model SDKs), so this install can't run the `openai:gpt-5.3` example from step 2. Verified on a clean install: after `pip install apache-airflow-providers-common-ai`, constructing the model raises `ImportError: Please install the openai package ... pip install "pydantic-ai-slim[openai]"`, and the `summarize` task fails at runtime with it; installing the extra clears it. So step 1 should install the matching extra:
```bash
pip install "apache-airflow-providers-common-ai[openai]"
```
Worth one line noting the extra tracks the provider you configure (`[anthropic]`, `[google]`, `[bedrock]`, ...).
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
+
+2. Configure the connection
+----------------------------
+
+Every LLM call goes through a Pydantic AI connection (``conn_type`` ``pydanticai``,
+default connection id ``pydanticai_default``). The model is set in ``provider:model``
+format and the API key goes in the password field. See :ref:`howto/connection:pydanticai`
+for the full reference, including providers that
+don't need an API key (Bedrock, Vertex AI).
+
+The quickest way to set one up is an environment variable:
+
+.. code-block:: bash
+
+ export AIRFLOW_CONN_PYDANTICAI_DEFAULT='{"conn_type": "pydanticai", "password": "sk-...", "extra": "{\"model\": \"openai:gpt-5.3\"}"}'
+
+Or add it through the Airflow UI (``Admin > Connections``) or the CLI (``airflow connections add``).
+
+3. Write your first Dag
+------------------------
+
+The ``@task.llm`` decorator turns a function that returns a prompt string into
+a task that sends that prompt to the LLM and returns its response:
+
+.. code-block:: python
Review Comment:
This is a complete runnable DAG, but every other full DAG in the provider docs uses `.. exampleinclude::` from a tested `example_dags/` file; inline `code-block:: python` is reserved for fragments. As inline code it isn't covered by the example-import check, so it can silently rot when the decorator signature or `airflow.sdk` surface changes, and it's the one snippet a newcomer copies verbatim. It's also byte-for-byte the `howto_decorator_llm` slice of `example_dags/example_llm.py`, so it duplicates a DAG we already test. (The code itself is fine -- it runs on 3.4.0 via `airflow dags test` -- the concern is that it's uncovered and duplicated.)
Suggest `exampleinclude`-ing it. One wrinkle: the existing example imports `from airflow.providers.common.compat.sdk import dag, task`, whereas here you (rightly) want the cleaner `from airflow.sdk import dag, task` for a 3.0+ reader, so a small dedicated `example_quickstart.py` on `airflow.sdk` is probably the cleanest source. While moving it: add `schedule=None` (siblings set it), and drop the doubled "summarize" (the `system_prompt` and the returned prompt both say it -- a first example reads cleaner with the instruction in one slot).
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
+
+2. Configure the connection
+----------------------------
+
+Every LLM call goes through a Pydantic AI connection (``conn_type`` ``pydanticai``,
+default connection id ``pydanticai_default``). The model is set in ``provider:model``
+format and the API key goes in the password field. See :ref:`howto/connection:pydanticai`
+for the full reference, including providers that
+don't need an API key (Bedrock, Vertex AI).
+
+The quickest way to set one up is an environment variable:
+
+.. code-block:: bash
+
+ export AIRFLOW_CONN_PYDANTICAI_DEFAULT='{"conn_type": "pydanticai", "password": "sk-...", "extra": "{\"model\": \"openai:gpt-5.3\"}"}'
Review Comment:
Two small things. `openai:gpt-5.3` and `sk-...` are placeholders a reader pastes verbatim (the model constructs without complaint and only fails at call time), so add "replace `openai:gpt-5.3` with a model you have access to and `sk-...` with your API key." And the nested-JSON-as-a-string `extra` is the error-prone form; `Connection.from_json` accepts a nested object (`sdk/definitions/connection.py:349-353`), verified end-to-end that the DAG resolves the model from it, so this is cleaner and equally valid:
```bash
export AIRFLOW_CONN_PYDANTICAI_DEFAULT='{"conn_type": "pydanticai", "password": "sk-...", "extra": {"model": "openai:gpt-5.3"}}'
```
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
Review Comment:
Two things for the opener. (1) It starts at installing the provider but assumes Airflow 3.0+ is already installed and initialized, and that step 3 makes a live, billed model call needing a real key -- verified: with the connection pointed at a fake key the `summarize` task runs and fails with a 401 from the OpenAI API, i.e. it does reach a real credentialed call. A short "before you start" line (assumes a working Airflow 3.0+ install, with a link to the core install; runs a real billed call; needs a provider API key) sets expectations. (2) "Go from zero to a running LLM task in three steps" reads like marketing; something plainer such as "This guide installs the provider, configures a connection, and runs a first LLM task" matches the rest of the docs.
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "gopidesupavan (via GitHub)" <gi...@apache.org>.
gopidesupavan commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3569266946
##########
providers/common/ai/docs/index.rst:
##########
@@ -86,6 +92,23 @@ OpenAI, Anthropic, or other pydantic-ai-supported connection:
:start-after: [START howto_operator_llm_basic]
:end-before: [END howto_operator_llm_basic]
+Choosing extras
+----------------
+
+The provider's extras split into a few groups:
+
+* **Model providers** — ``openai``, ``anthropic``, ``google``, ``bedrock``: pick the one
Review Comment:
Yeah cool :)
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on code in PR #69552:
URL: https://github.com/apache/airflow/pull/69552#discussion_r3549997001
##########
providers/common/ai/docs/quickstart.rst:
##########
@@ -0,0 +1,94 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ .. http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+
+.. _howto/quickstart:
+
+Quick start
+===========
+
+Go from zero to a running LLM task in three steps: install the provider,
+configure a connection, and write a Dag.
+
+1. Install
+----------
+
+.. code-block:: bash
+
+ pip install apache-airflow-providers-common-ai
+
+2. Configure the connection
+----------------------------
+
+Every LLM call goes through a Pydantic AI connection (``conn_type`` ``pydanticai``,
+default connection id ``pydanticai_default``). The model is set in ``provider:model``
+format and the API key goes in the password field. See :ref:`howto/connection:pydanticai`
+for the full reference, including providers that
+don't need an API key (Bedrock, Vertex AI).
+
+The quickest way to set one up is an environment variable:
+
+.. code-block:: bash
+
+ export AIRFLOW_CONN_PYDANTICAI_DEFAULT='{"conn_type": "pydanticai", "password": "sk-...", "extra": "{\"model\": \"openai:gpt-5.3\"}"}'
Review Comment:
Added a note to replace `openai:gpt-5.3` and `sk-...`, and changed the connection env var's `extra` field to a nested JSON object instead of the double-encoded string
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Re: [PR] Add quick start guide to common.ai provider docs [airflow]
Posted by "Lee-W (via GitHub)" <gi...@apache.org>.
Lee-W commented on PR #69552:
URL: https://github.com/apache/airflow/pull/69552#issuecomment-4923029892
<img width="1944" height="722" alt="image" src="https://github.com/user-attachments/assets/ecf6e8ac-087a-40c0-aced-8b6aa17fcf9c" />
<img width="1928" height="724" alt="image" src="https://github.com/user-attachments/assets/085f0ff5-63b5-4248-ae06-553299b62a7d" />
also adding a few screenshots for reference. thanks!
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