Vouch request: Guo-Yixin #3921
Guo-Yixin
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Vouch Request
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I’m interested in contributing to NVIDIA OpenShell, especially the Python SDK and agent-sandbox workflows. I’m reviewing issue #2960, “Expose the complete gateway gRPC surface,” and would like to take on a focused, maintainer-approved part of that work. My background is in Python and AI engineering, including agent runtimes, tool execution, and sandboxed workloads. I’ve read CONTRIBUTING.md and will follow the project’s review, testing, DCO, and CI requirements. Please let me know whether you can vouch for me and which issue or scoped task would be appropriate to start with. |
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What do you want to work on?
I plan to fix the initialization failure resource cleanup bug in the Python SDK's
Sandboxcontext manager. After a client is acquired, session creation, retrieval or readiness checks may throw exceptions before entering the context. Since Python will not trigger__exit__when__enter__fails, client and authentication resources remain unreleased. My work will release these resources on error paths while preserving the original exception, add regression tests with a normal successful context control case, and align the scope with maintainers before implementation.Relevant source: https://github.com/NVIDIA/OpenShell/blob/main/python/openshell/sandbox.py
Why this change?
I have used OpenShell in my open-source projects for coding agents, code interpreters, agent benchmarks, GPU agents and private-model-backed agents. My research focuses on running probabilistic agents within deterministic security boundaries. Reliable resource cleanup is critical for sandbox security: applications should reliably clean up resources even when sandbox initialization fails, to avoid resource leaks and credential-related risks. I have prior open-source contribution experience on deer-flow.
Contributed & Owner:
1:https://github.com/bytedance/deer-flow
2:https://github.com/langchain-ai/deepagentsjs
3:https://github.com/Guo-Yixin/coding-agent
4:https://github.com/labring/FastGPT
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