🔄 daily merge: master → main 2025-11-04 #669
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## Description This removes an orphaned code file that was previously used by the Preprocessor User Guide. ## Related issues Corresponding User Guide was removed in ray-project#44006. Closes ray-project#57867. ## Additional details This test started failing because of the new `XGBoostTrainer` API enabled by default with Ray Train V2. Rather than update the snippet, removing this code instead. Signed-off-by: Matthew Deng <[email protected]>
adding eslint and prettier script to precommit before getting rid of format.sh 1 step closer to replacing scripts/format.sh with pre-commit (pre-commit is currently missing eslint) tested locally: <img width="898" height="929" alt="image" src="https://github.com/user-attachments/assets/58c77fb7-bdde-47ae-ac2b-b864334b3f30" /> --------- Signed-off-by: elliot-barn <[email protected]>
First test running on AKS cloud! --------- Signed-off-by: kevin <[email protected]> Signed-off-by: Kevin H. Luu <[email protected]> Co-authored-by: Lonnie Liu <[email protected]>
## Description Updating so that the module shows as `ray.train` rather than `ray.train.v2.api.exceptions` ## Testing https://anyscale-ray--57865.com.readthedocs.build/en/57865/train/api/doc/ray.train.v2.api.data_parallel_trainer.DataParallelTrainer.fit.html#ray.train.v2.api.data_parallel_trainer.DataParallelTrainer.fit <img width="960" height="302" alt="image" src="https://github.com/user-attachments/assets/02206542-54fe-4674-b2b4-1868fa7e8580" /> Signed-off-by: Matthew Deng <[email protected]>
- Add 2 hello world tests with regular base image & custom image running on GCE --------- Signed-off-by: kevin <[email protected]> Signed-off-by: Kevin H. Luu <[email protected]>
## Description Bump from small to medium due to timeouts happening specifically in py3.12 tests. --------- Signed-off-by: Matthew Deng <[email protected]>
## Why are these changes needed? Computing the `num_module_steps_trained_(lifetime)_throughput` metrics are biased due to the way how we record throughput times in a loop over module batches. This PR offers a fix to this bias. ## Related issue number <!-- For example: "Closes ray-project#1234" --> ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run pre-commit jobs to lint the changes in this PR. ([pre-commit setup](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html#lint-and-formatting)) - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: simonsays1980 <[email protected]> Co-authored-by: Kamil Kaczmarek <[email protected]>
…orker` (ray-project#57859) ## Description The type annotation for `actor_location_tracker` is currently `ActorLocationTracker`, but it should be `ray.actor.ActorHandle[ActorLocationTracker]`. This PR fixes that issue. Signed-off-by: Balaji Veeramani <[email protected]>
ray-project#57834) Signed-off-by: Jiajun Yao <[email protected]>
…r'. (ray-project#57673) <!-- Thank you for your contribution! Please review https://github.com/ray-project/ray/blob/master/CONTRIBUTING.rst before opening a pull request. --> <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. --> ## Why are these changes needed? The type hints for `learner_connector` in `AlgorithmConfig.training` was deprecated still using the `RLModule` as parameter. This PR adjust type hints to the actual expected form of the callable. ## Related issue number <!-- For example: "Closes ray-project#1234" --> ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run pre-commit jobs to lint the changes in this PR. ([pre-commit setup](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html#lint-and-formatting)) - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Signed-off-by: simonsays1980 <[email protected]>
`result_of_t` is deprecated Signed-off-by: Lonnie Liu <[email protected]>
…ectural Design (ray-project#57889) Signed-off-by: Kourosh Hakhamaneshi <[email protected]>
- disables java tests; ray java not supported on apple silicon yet. - skipping cpp tests that are not passing yet we already stopped releasing macos wheels for Intel silicon, the tests that are disabled or skipped were never passing on apple silicon, so nothing is regressed. Signed-off-by: Lonnie Liu <[email protected]>
…ay-project#57876) ## Description ## Related issues Closes ray-project#57847 ## Additional information Signed-off-by: daiping8 <[email protected]>
…ystem cgroup (ray-project#57864) For more details about the resource isolation project see ray-project#54703. When starting the head node, move the dashboard api server's subprocesses into the system cgroup. I updated the integration test and added a helpful error message because the test will break in the future when a new dashboard module is added. I ran the integration tests 25 times locally. > (ray2) ubuntu@devbox:~/code/ray2$ python -m pytest -s python/ray/tests/resource_isolation/test_resource_isolation_integration.py --count 25 -x ... collecting ... python/ray/tests/resource_isolation/test_resource_isolation_integration.py ✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓ 25% ██▌ 2025-10-17 23:13:51,897 INFO worker.py:1833 -- Connecting to existing Ray cluster at address: 172.31.12.251:6379... 2025-10-17 23:13:51,905 INFO worker.py:2004 -- Connected to Ray cluster. View the dashboard at http://127.0.0.1:8265 python/ray/tests/resource_isolation/test_resource_isolation_integration.py ✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓ 26% ██▋ 2025-10-17 23:13:57,592 INFO worker.py:1833 -- Connecting to existing Ray cluster at address: 172.31.12.251:6379... 2025-10-17 23:13:57,598 INFO worker.py:2004 -- Connected to Ray cluster. View the dashboard at http://127.0.0.1:8265 python/ray/tests/resource_isolation/test_resource_isolation_integration.py ✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓ 98% █████████▊2025-10-17 23:19:45,417 INFO worker.py:2004 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265 python/ray/tests/resource_isolation/test_resource_isolation_integration.py ✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓ 99% █████████▉2025-10-17 23:19:50,194 INFO worker.py:2004 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265 python/ray/tests/resource_isolation/test_resource_isolation_integration.py ✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓ 100% ██████████ Results (366.41s): 100 passed --------- Signed-off-by: irabbani <[email protected]>
…roject#57037) During the execution of tail_job_logs() after the job submission, if the ray head connection breaks, the tail_job_logs() will not raise any error. The error should be raised. Query the rayjob status when receiving the message, and raise error if connection closed with rayjob not in terminate stage. ## Related issue number Closes: ray-project#57002 --------- Signed-off-by: machichima <[email protected]>
…ay-project#57802) ## Description 1. This PR added the `jax.distributed.shutdown()` for JaxBackend in order to free up any leaked resources on TPU RayTrainWorkers. 2. if `jax.distributed` is not on, it is a noop: https://docs.jax.dev/en/latest/_autosummary/jax.distributed.shutdown.html 3. Tested on Anyscale workspace. <img width="1264" height="62" alt="image" src="https://github.com/user-attachments/assets/f28102ff-f6d1-4da0-b41a-6cc785603e72" />
…ay Serve LLM (ray-project#57830) Signed-off-by: Kourosh Hakhamaneshi <[email protected]>
we are not releasing `x86_64` wheels anymore Signed-off-by: Lonnie Liu <[email protected]>
…57817) Signed-off-by: dayshah <[email protected]>
…igurable (ray-project#57705) Recently, when we ran performance tests with task event generation turned on. We saw some performance regression when the workloads ran on very small CPU machines. With further investigation, the overhead mainly comes from the name format convention when converting the proto message to JSON format payload in the aggregator agent. This PR adds an env var for the config to control the name conversion behavior and update the corresponding tests. Also note that, eventually we are planning to remove this config turn off the field name conversion by default after migrated all the current event usage. --------- Signed-off-by: Mengjin Yan <[email protected]>
…57861) Signed-off-by: joshlee <[email protected]>
It used to be in 3 different groups, now unionized in 1. Signed-off-by: kevin <[email protected]>
…nter (ray-project#56848) * Updated preprocessors to use a callback-based approach for stat computation. This improves code organization and reduces duplication. * Added ValueCounter aggregator and value_counts method to BlockColumnAccessor. Includes implementations for both Arrow and Pandas backends. <!-- Thank you for your contribution! Please review https://github.com/ray-project/ray/blob/master/CONTRIBUTING.rst before opening a pull request. --> <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. --> ## Why are these changes needed? <!-- Please give a short summary of the change and the problem this solves. --> ## Related issue number <!-- For example: "Closes ray-project#1234" --> ## Checks - [ ] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( --------- Signed-off-by: cem <[email protected]> Signed-off-by: cem-anyscale <[email protected]> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
… only once." (ray-project#57917) This PR fixes the Ray check failure RayEventRecorder::StartExportingEvents() should be called only once.. The failure can occur in the following scenario: - The metric_agent_client successfully establishes a connection with the dashboard agent. In this case, RayEventRecorder::StartExportingEvents is correctly invoked to start sending events. - At the same time, the metric_agent_client exceeds its maximum number of connection retries. In this case, RayEventRecorder::StartExportingEvents is invoked again incorrectly, causing duplicate attempts to start exporting events. This PR introduces two fixes: - In metric_agent_client, the connection success and retry logic are now synchronized (previously they ran asynchronously, allowing both paths to trigger). - Do not call StartExportingEvents if the connection cannot be established. Test: - CI --------- Signed-off-by: Cuong Nguyen <[email protected]>
## Description
Ray data can't serialize zero (byte) length numpy arrays:
```python3
import numpy as np
import ray.data
array = np.empty((2, 0), dtype=np.int8)
ds = ray.data.from_items([{"array": array}])
for batch in ds.iter_batches(batch_size=1):
print(batch)
```
What I expect to see:
```
{'array': array([], shape=(1, 2, 0), dtype=int8)}
```
What I see:
```
/Users/chris.ohara/Downloads/.venv/lib/python3.12/site-packages/ray/air/util/tensor_extensions/arrow.py:736: RuntimeWarning: invalid value encountered in scalar divide
offsets = np.arange(
2025-10-17 17:18:09,499 WARNING arrow.py:189 -- Failed to convert column 'array' into pyarrow array due to: Error converting data to Arrow: column: 'array', shape: (1, 2, 0), dtype: int8, data: []; falling back to serialize as pickled python objects
Traceback (most recent call last):
File "/Users/chris.ohara/Downloads/.venv/lib/python3.12/site-packages/ray/air/util/tensor_extensions/arrow.py", line 672, in from_numpy
return cls._from_numpy(arr)
^^^^^^^^^^^^^^^^^^^^
File "/Users/chris.ohara/Downloads/.venv/lib/python3.12/site-packages/ray/air/util/tensor_extensions/arrow.py", line 736, in _from_numpy
offsets = np.arange(
^^^^^^^^^^
ValueError: arange: cannot compute length
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/chris.ohara/Downloads/.venv/lib/python3.12/site-packages/ray/air/util/tensor_extensions/arrow.py", line 141, in convert_to_pyarrow_array
return ArrowTensorArray.from_numpy(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/chris.ohara/Downloads/.venv/lib/python3.12/site-packages/ray/air/util/tensor_extensions/arrow.py", line 678, in from_numpy
raise ArrowConversionError(data_str) from e
ray.air.util.tensor_extensions.arrow.ArrowConversionError: Error converting data to Arrow: column: 'array', shape: (1, 2, 0), dtype: int8, data: []
2025-10-17 17:18:09,789 INFO logging.py:293 -- Registered dataset logger for dataset dataset_0_0
2025-10-17 17:18:09,815 WARNING resource_manager.py:134 -- ⚠️ Ray's object store is configured to use only 33.5% of available memory (2.0GiB out of 6.0GiB total). For optimal Ray Data performance, we recommend setting the object store to at least 50% of available memory. You can do this by setting the 'object_store_memory' parameter when calling ray.init() or by setting the RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION environment variable.
{'array': array([array([], shape=(2, 0), dtype=int8)], dtype=object)}
```
This PR fixes the issue so that zero-length arrays are serialized
correctly, and the shape and dtype is preserved.
## Additional information
This is `ray==2.50.0`.
---------
Signed-off-by: Chris O'Hara <[email protected]>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
use awscli directly; stop installing extra dependencies Signed-off-by: Lonnie Liu <[email protected]>
Signed-off-by: joshlee <[email protected]>
## Description Found this while reading the docs. Not sure what this "Note that" is referring to or why it is there. Signed-off-by: Max van Dijck <[email protected]>
…collate_fn (ray-project#58327) Signed-off-by: Gang Zhao <[email protected]> Co-authored-by: Gang Zhao <[email protected]>
## Description This fixes the symmetric-run cli workflow. Right now if you use `ray symmetric-run` on 2.51 like ``` ray symmetric-run --address 127.0.0.1:6379 -- python my_script.py ``` it will throw since the `symmetric-run` arg is not caught. This was only caught once it became part of the CLI. ## Related issues ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Richard Liaw <[email protected]>
…t#58247) Updating hello world release & cluster release tests to run on py3.10 Passing release tests: https://buildkite.com/ray-project/release/builds/65844 --------- Signed-off-by: elliot-barn <[email protected]>
Fix typos Signed-off-by: Jiajun Yao <[email protected]>
The current examples describe that label bundles are written as:
`[{"ray.io/accelerator-type": "H100"}* 2]`, i.e. a dict * integer.
This is wrong it has to be the list that is multiplied.
This PR fixes this.
Signed-off-by: Daraan <[email protected]>
## Description In this function, `Result::from_path` is implemented in ray train v2, which reconstructs a `Result` object from the checkpoints. This implementation leverages `CheckpointManager` and refers to https://github.com/ray-project/ray/blob/master/python/ray/train/v2/_internal/execution/controller/controller.py#L512-L540 --------- Signed-off-by: xgui <[email protected]> Signed-off-by: Justin Yu <[email protected]> Co-authored-by: Justin Yu <[email protected]>
Add "WORKDIR /home/ray" in build-docker.sh. If "WORKDIR" is not set, it defaults to /root, causing permission issues with conda init. ``` 31.00 # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< 31.00 31.00 Traceback (most recent call last): 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/conda/exception_handler.py", line 18, in __call__ 31.00 return func(*args, **kwargs) 31.00 ^^^^^^^^^^^^^^^^^^^^^ 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/conda/cli/main.py", line 44, in main_subshell 31.00 context.__init__(argparse_args=pre_args) 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/conda/base/context.py", line 517, in __init__ 31.00 self._set_search_path( 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/conda/common/configuration.py", line 1430, in _set_search_path 31.00 self._search_path = IndexedSet(self._expand_search_path(search_path, **kwargs)) 31.00 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/boltons/setutils.py", line 118, in __init__ 31.00 self.update(other) 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/boltons/setutils.py", line 351, in update 31.00 for o in other: 31.00 ^^^^^ 31.00 File "/home/ray/anaconda3/lib/python3.12/site-packages/conda/common/configuration.py", line 1403, in _expand_search_path 31.00 if path.is_file() and ( 31.00 ^^^^^^^^^^^^^^ 31.00 File "/home/ray/anaconda3/lib/python3.12/pathlib.py", line 892, in is_file 31.00 return S_ISREG(self.stat().st_mode) 31.00 ^^^^^^^^^^^ 31.00 File "/home/ray/anaconda3/lib/python3.12/pathlib.py", line 840, in stat 31.00 return os.stat(self, follow_symlinks=follow_symlinks) 31.00 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 31.00 PermissionError: [Errno 13] Permission denied: '$XDG_CONFIG_HOME/conda/.condarc' 31.00 31.00 `$ /home/ray/anaconda3/bin/conda init` 31.00 31.00 environment variables: 31.00 CIO_TEST=<not set> 31.00 CONDA_ROOT=/home/ray/anaconda3 31.00 CURL_CA_BUNDLE=<not set> 31.00 HTTPS_PROXY=<set> 31.00 HTTP_PROXY=<set> 31.00 LD_LIBRARY_PATH=:/usr/local/nvidia/lib64 31.00 LD_PRELOAD=<not set> 31.00 NO_PROXY=<set> 31.00 PATH=/home/ray/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/ 31.00 bin:/sbin:/bin:/usr/local/nvidia/bin 31.00 PYTHON_VERSION=3.9 31.00 REQUESTS_CA_BUNDLE=<not set> 31.00 SSL_CERT_FILE=<not set> 31.00 http_proxy=<set> 31.00 https_proxy=<set> 31.00 no_proxy=<set> ``` Signed-off-by: my-vegetable-has-exploded <[email protected]> Co-authored-by: Edward Oakes <[email protected]>
…ct#58320) Signed-off-by: win5923 <[email protected]>
…oject#58329) Created by release automation bot. Update with commit a69004e Signed-off-by: kevin <[email protected]>
… and GRPO. (ray-project#57961) ## Description Example for first blog in the RDT series using NIXL for GPU-GPU tensor transfers. --------- Signed-off-by: Ricardo Decal <[email protected]> Signed-off-by: Stephanie Wang <[email protected]> Co-authored-by: Ricardo Decal <[email protected]> Co-authored-by: Stephanie Wang <[email protected]> Co-authored-by: Qiaolin Yu <[email protected]>
python 3.9 is now out of the support window all using python 3.12 wheel names for unit testing Signed-off-by: Lonnie Liu <[email protected]>
we will stop releasing them Signed-off-by: Lonnie Liu <[email protected]>
and move them into bazel dir. getting ready for python version upgrade Signed-off-by: Lonnie Liu <[email protected]>
python 3.9 is out of support window Signed-off-by: Lonnie Liu <[email protected]>
…ect#58375) Starting with KubeRay 1.5.0, KubeRay supports gang scheduling for RayJob custom resources. Just add a mention for Yunikorn scheduler. Related to ray-project/kuberay#3948. Signed-off-by: win5923 <[email protected]>
This PR adds support for token-based authentication in the Ray bi-directional syncer, for both client and server sides. It also includes tests to verify the functionality. --------- Signed-off-by: sampan <[email protected]> Signed-off-by: Edward Oakes <[email protected]> Co-authored-by: sampan <[email protected]> Co-authored-by: Edward Oakes <[email protected]>
Support token based authentication in runtime env (client and server). refactor existing dashboard head code so that the utils and midleware can be reused by runtime env agent as well --------- Signed-off-by: sampan <[email protected]> Signed-off-by: Edward Oakes <[email protected]> Co-authored-by: sampan <[email protected]> Co-authored-by: Edward Oakes <[email protected]>
…un. (ray-project#58335) ## Description > Add spark master model validation to let Ray run on Spark-On-YARN mode. ## Why need this? > If we directly run Ray on a YARN cluster, we need to do more tests and integration, and also need to setup related tools and environments. If support ray-on-spark-on-yarn and we already have Spark envs setup, we don't need to do other things, can use Spark and let the user run pyspark. Signed-off-by: Cai Zhanqi <[email protected]> Co-authored-by: Cai Zhanqi <[email protected]>
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Code Review
This pull request is an automated daily merge from master to main. It incorporates a very large number of changes, primarily focused on a significant refactoring of the CI/CD pipelines and the Bazel build system. Key themes include:
- CI/CD Refactoring: The Buildkite pipelines have been extensively reorganized for better modularity. Build steps are broken down into smaller, more manageable pieces, and image building has been separated into its own group. A new dependency management system,
raydepsets, has been introduced to handle Python dependencies more robustly. - Bazel Build System Overhaul: The root
BUILD.bazelfile has been significantly cleaned up, with many targets moved into sub-packages. The build now uses standardrules_pkgfor artifact packaging instead of customgenrules, which is a great improvement for standardization and maintainability. - Dependency and Tooling Updates: Numerous dependencies have been updated, and the pre-commit configuration has been enhanced with more powerful linting and formatting tools like
semgrep,vale, andeslint. - Platform Changes: CI for macOS is now focused on
arm64, withx86_64support being phased out.
The code changes across the repository are largely adaptations to these foundational improvements in the build and CI systems. The overall changes are very positive for the project's health, improving build reliability, developer experience, and code quality enforcement. I did not find any issues of medium severity or higher.
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This pull request has been automatically marked as stale because it has not had You can always ask for help on our discussion forum or Ray's public slack channel. If you'd like to keep this open, just leave any comment, and the stale label will be removed. |
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This Pull Request was created automatically to merge the latest changes from
masterintomainbranch.📅 Created: 2025-11-04
🔀 Merge direction:
master→main🤖 Triggered by: Scheduled
Please review and merge if everything looks good.