7024a86024
- Remove all manually registered Pi tools (alpha_search, alpha_get_paper, alpha_ask_paper, alpha_annotate_paper, alpha_list_annotations, alpha_read_code, session_search, preview_file) and their wrappers (alpha.ts, preview.ts, session-search.ts, alpha-tools.test.ts) - Add Pi skill files for alpha-research, session-search, preview, modal-compute, and runpod-compute in skills/ - Sync skills to ~/.feynman/agent/skills/ on startup via syncBundledAssets - Add node_modules/.bin to Pi subprocess PATH so alpha CLI is accessible - Add /outputs extension command to browse research artifacts via dialog - Add Modal and RunPod as execution environments in /replicate and /autoresearch prompts - Remove redundant /alpha-login /alpha-logout /alpha-status REPL commands (feynman alpha CLI still works) - Update README, researcher agent, metadata, and website docs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
49 lines
1.5 KiB
Markdown
49 lines
1.5 KiB
Markdown
---
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name: runpod-compute
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description: Provision and manage GPU pods on RunPod for long-running experiments. Use when the user needs persistent GPU compute with SSH access, large datasets, or multi-step experiments.
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---
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# RunPod Compute
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Use `runpodctl` CLI for persistent GPU pods with SSH access.
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## Setup
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```bash
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brew install runpod/runpodctl/runpodctl # macOS
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runpodctl config --apiKey=YOUR_KEY
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```
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## Commands
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| Command | Description |
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|---------|-------------|
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| `runpodctl create pod --gpuType "NVIDIA A100 80GB PCIe" --imageName "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04" --name experiment` | Create a pod |
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| `runpodctl get pod` | List all pods |
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| `runpodctl stop pod <id>` | Stop (preserves volume) |
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| `runpodctl start pod <id>` | Resume a stopped pod |
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| `runpodctl remove pod <id>` | Terminate and delete |
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| `runpodctl gpu list` | List available GPU types and prices |
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| `runpodctl send <file>` | Transfer files to/from pods |
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| `runpodctl receive <code>` | Receive transferred files |
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## SSH access
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```bash
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ssh root@<IP> -p <PORT> -i ~/.ssh/id_ed25519
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```
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Get connection details from `runpodctl get pod <id>`. Pods must expose port `22/tcp`.
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## GPU types
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`NVIDIA GeForce RTX 4090`, `NVIDIA RTX A6000`, `NVIDIA A40`, `NVIDIA A100 80GB PCIe`, `NVIDIA H100 80GB HBM3`
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## When to use
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- Long-running experiments needing persistent state
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- Large dataset processing
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- Multi-step work with SSH access between iterations
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- Always stop or remove pods after experiments
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- Check availability: `command -v runpodctl`
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