Skip to content

Update config from ray cluster#324

Merged
pan-x-c merged 5 commits intoagentscope-ai:mainfrom
hiyuchang:feat/auto_cluster_config
Oct 16, 2025
Merged

Update config from ray cluster#324
pan-x-c merged 5 commits intoagentscope-ai:mainfrom
hiyuchang:feat/auto_cluster_config

Conversation

@hiyuchang
Copy link
Collaborator

@hiyuchang hiyuchang commented Oct 16, 2025

Description

As the title says.

Checklist

Please check the following items before code is ready to be reviewed.

  • Code has passed all tests
  • Docstrings have been added/updated in Google Style
  • Documentation has been updated
  • Code is ready for review

@gemini-code-assist
Copy link
Contributor

Summary of Changes

Hello @hiyuchang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly refines the handling of Ray cluster configurations by introducing dynamic detection capabilities for cluster parameters such as the number of nodes and GPUs per node. This change allows the system to automatically infer these details when they are not explicitly provided, which is particularly beneficial in environments where cluster topology might be dynamic or unknown beforehand. The modifications centralize Ray address management within the configuration object and update related utility functions and test cases to support this more adaptive and robust configuration approach.

Highlights

  • Dynamic Ray Cluster Configuration: The system can now automatically detect and update node_num and gpu_per_node from an active Ray cluster if these values are not explicitly set in the configuration, enhancing flexibility in dynamic environments.
  • Centralized Ray Address Management: The Ray cluster address is now managed directly within the Config object, simplifying the run_stage function calls by removing the need to pass the address as a separate parameter.
  • Enhanced setup_ray_cluster Utility: The setup_ray_cluster utility function now returns a comprehensive dictionary containing detailed cluster information, including ray_address, node_num, and gpu_per_node, rather than just the address string.
  • New Test Coverage: A dedicated test case, test_update_config_from_ray_cluster, has been added to validate the new auto-detection and configuration update functionality, ensuring its reliability.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces a useful feature to automatically detect Ray cluster configurations like node_num and gpu_per_node when they are not explicitly set. The implementation correctly modifies the configuration loading and Ray initialization logic. However, I've identified a few issues that should be addressed. The most critical one is that the new configuration update logic can unexpectedly shut down an existing Ray cluster. Additionally, the new unit test has an external dependency, which is not ideal, and there's some duplicated and non-robust code for detecting GPU configurations. I've provided detailed feedback and suggestions for each of these points.

@pan-x-c
Copy link
Collaborator

pan-x-c commented Oct 16, 2025

/unittest-module-common

@github-actions
Copy link

Summary

Tests 📝 Passed ✅ Failed ❌ Skipped ⏭️ Other ❓ Flaky 🍂 Duration ⏱️
31 31 0 0 0 0 321ms

Tests

Test Name Status Flaky Duration
tests/common/config_test.py::TestConfig::test_all_examples_are_valid 36ms
tests/common/config_test.py::TestConfig::test_config_flatten 1ms
tests/common/config_test.py::TestConfig::test_continue_from_checkpoint_is_valid 1ms
tests/common/config_test.py::TestConfig::test_load_default_config 3ms
tests/common/config_test.py::TestConfig::test_update_config_from_ray_cluster 1ms
tests/common/experience_test.py::TestEID::test_eid_properties 1ms
tests/common/experience_test.py::TestExperience::test_action_mask_and_logprobs_type 1ms
tests/common/experience_test.py::TestExperience::test_assertions 1ms
tests/common/experience_test.py::TestExperience::test_dpo_experience 1ms
tests/common/experience_test.py::TestExperience::test_gather 1ms
tests/common/experience_test.py::TestExperience::test_hf_datasets_conversion 1ms
tests/common/experience_test.py::TestExperience::test_multi_turn_experience 1ms
tests/common/experience_test.py::TestExperience::test_serialize_deserialize 1ms
tests/common/experience_test.py::TestExperience::test_single_turn_experience 1ms
tests/common/experience_test.py::TestExperience::test_to_dict 1ms
tests/common/experience_test.py::TestExperienceConversion::test_batch_conversion 1ms
tests/common/experience_test.py::TestExperienceConversion::test_dpo_experience_batch_conversion 1ms
tests/common/experience_test.py::TestExperienceConversion::test_experience_model_experience_conversion 1ms
tests/common/experience_test.py::TestExperienceConversion::test_gather_experiences_with_custom_fields 1ms
tests/common/experience_test.py::TestExperienceConversion::test_multiturn_experience_batch_converstion 1ms
tests/common/vllm_test.py::ModelWrapperTest_0::test_generate 56ms
tests/common/vllm_test.py::ModelWrapperTest_1::test_generate 36ms
tests/common/vllm_test.py::ModelWrapperTest_2::test_generate 47ms
tests/common/vllm_test.py::TestModelLen_0::test_model_len 21ms
tests/common/vllm_test.py::TestModelLen_1::test_model_len 20ms
tests/common/vllm_test.py::TestAPIServer::test_api 24ms
tests/common/vllm_test.py::TestAsyncAPIServer::test_api_async 24ms
tests/common/vllm_test.py::TestTokenizer::test_action_mask 1ms
tests/common/vllm_test.py::TestTokenizer::test_action_mask_with_tools 1ms
tests/common/vllm_test.py::TestAPIServerToolCall_0_deepseek_r1::test_api_tool_calls 22ms
tests/common/vllm_test.py::TestAPIServerToolCall_1::test_api_tool_calls 21ms

Github Test Reporter by CTRF 💚

@pan-x-c
Copy link
Collaborator

pan-x-c commented Oct 16, 2025

/unittest-module-explorer

@github-actions
Copy link

Summary

Tests 📝 Passed ✅ Failed ❌ Skipped ⏭️ Other ❓ Flaky 🍂 Duration ⏱️
34 34 0 0 0 0 544ms

Tests

Test Name Status Flaky Duration
tests/explorer/explorer_test.py::TestExplorerCountdownEval::test_explorer 58ms
tests/explorer/explorer_test.py::TestExplorerCountdownNoEval::test_explorer 55ms
tests/explorer/explorer_test.py::TestExplorerGSM8k::test_explorer 205ms
tests/explorer/explorer_test.py::ServeTest::test_serve 69ms
tests/explorer/scheduler_test.py::SchedulerTest::test_async_workflow 5ms
tests/explorer/scheduler_test.py::SchedulerTest::test_concurrent_operations 5ms
tests/explorer/scheduler_test.py::SchedulerTest::test_get_results 23ms
tests/explorer/scheduler_test.py::SchedulerTest::test_multi_step_execution 5ms
tests/explorer/scheduler_test.py::SchedulerTest::test_non_repeatable_workflow 5ms
tests/explorer/scheduler_test.py::SchedulerTest::test_scheduler_all_methods 15ms
tests/explorer/scheduler_test.py::SchedulerTest::test_scheduler_restart_after_stop 9ms
tests/explorer/scheduler_test.py::SchedulerTest::test_split_tasks 8ms
tests/explorer/scheduler_test.py::SchedulerTest::test_stepwise_experience_eid 6ms
tests/explorer/scheduler_test.py::SchedulerTest::test_wait_all 8ms
tests/explorer/scheduler_test.py::SchedulerTest::test_wait_all_timeout_with_multi_batch 14ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_reward_propagation_workflow_0 1ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_reward_propagation_workflow_1 1ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_step_wise_reward_workflow_0 1ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_step_wise_reward_workflow_1 1ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_workflows_raise_error 1ms
tests/explorer/step_wise_workflow_test.py::WorkflowTest::test_workflows_stop_at_max_env_steps 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_gsm8k_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_math_boxed_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_math_complex_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_math_eval_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_math_fraction_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_math_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_rm_gallery_workflow 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_workflow_repeatable_0 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_workflow_repeatable_1 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_workflow_resettable_0 1ms
tests/explorer/workflow_test.py::WorkflowTest::test_workflow_resettable_1 1ms
tests/explorer/workflow_test.py::MultiTurnWorkflowTest_0::test_multi_turn_workflow 19ms
tests/explorer/workflow_test.py::MultiTurnWorkflowTest_1::test_multi_turn_workflow 18ms

Github Test Reporter by CTRF 💚

@pan-x-c pan-x-c merged commit 72a8b1e into agentscope-ai:main Oct 16, 2025
1 check passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants