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Bump vllm from 0.6.3.post1 to 0.23.0 in /experiments/agentcompany/openhands #42

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Bump vllm from 0.6.3.post1 to 0.23.0 in /experiments/agentcompany/openhands #42

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2 changes: 1 addition & 1 deletion experiments/agentcompany/openhands/requirements.txt
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Expand Up @@ -189,7 +189,7 @@ uri-template==1.3.0
urllib3==2.2.2
uvicorn==0.32.0
uvloop==0.21.0
vllm==0.6.3.post1
vllm==0.23.0

@greptile-apps greptile-apps Bot Jun 20, 2026

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P1 Update companion pins

This bump leaves the environment pinned to the old vLLM dependency set, so pip install -r requirements.txt can fail dependency resolution. vllm==0.23.0 requires newer companions including torch==2.11.0, torchaudio==2.11.0, torchvision==0.26.0, transformers>=4.56.0, and tokenizers>=0.21.1, but this file still pins torch==2.4.0+cu121, torchaudio==2.4.0+cu121, torchvision==0.19.0, transformers==4.46.2, and tokenizers==0.20.3. If dependencies are bypassed, vLLM can also run against an unsupported ABI/API stack and fail at import or runtime. Update the companion pins with this vLLM bump, or keep vLLM on a compatible 0.6.x version, so the experiment environment can resolve and vLLM's native kernels match the installed PyTorch build.

T-Rex Ran code and verified through T-Rex

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Path: experiments/agentcompany/openhands/requirements.txt
Line: 192

Comment:
**Update companion pins**

This bump leaves the environment pinned to the old vLLM dependency set, so `pip install -r requirements.txt` can fail dependency resolution. `vllm==0.23.0` requires newer companions including `torch==2.11.0`, `torchaudio==2.11.0`, `torchvision==0.26.0`, `transformers>=4.56.0`, and `tokenizers>=0.21.1`, but this file still pins `torch==2.4.0+cu121`, `torchaudio==2.4.0+cu121`, `torchvision==0.19.0`, `transformers==4.46.2`, and `tokenizers==0.20.3`. If dependencies are bypassed, vLLM can also run against an unsupported ABI/API stack and fail at import or runtime. Update the companion pins with this vLLM bump, or keep vLLM on a compatible 0.6.x version, so the experiment environment can resolve and vLLM's native kernels match the installed PyTorch build.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Cursor Fix in Claude Code Fix in Codex

wandb==0.17.3
watchfiles==0.24.0
wcwidth==0.2.13
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