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Enables the agent to spin up multi-GPU pods when experiments need more VRAM. The agent reads program.md which explains how to use it. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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| FROM ${BASE_IMAGE} | ||
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| # Install runpodctl for pod management (scaling up GPUs) | ||
| RUN wget -qO- https://github.com/runpod/runpodctl/releases/latest/download/runpodctl-linux-amd64 > /usr/local/bin/runpodctl && \ |
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Using the releases/latest download URL makes this image non-deterministic: the same Dockerfile can produce different runpodctl binaries on different days, and a new upstream release can silently break scaling workflows when CI or users rebuild the template. Pinning to a specific release asset (and ideally checksum-verifying it) avoids unexpected behavior regressions in production pods.
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The release asset changed from a raw binary to a .tar.gz archive. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
runpodctlin the autoresearch Docker image so the agent can spin up multi-GPU pods when experiments need more VRAMprogram.mdRelated: DR-1298
Test plan
runpodctl --versionworks inside the containerrunpodctlis available at/usr/local/bin/runpodctl🤖 Generated with Claude Code