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* Add RunPod GPU cloud provider with all 13 agent scripts - runpod/lib/common.sh: GraphQL API wrapper, pod creation/termination, SSH connectivity (direct TCP or proxy via ssh.runpod.io) - 13 agent scripts: claude, openclaw, nanoclaw, aider, goose, codex, interpreter, gemini, amazonq, cline, gptme, opencode, plandex - runpod/README.md with usage docs and environment variable reference - manifest.json: RunPod cloud entry + all matrix entries as implemented Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add UpCloud cloud provider with all 13 agent scripts - upcloud/lib/common.sh: UpCloud API wrapper with Basic Auth, server provisioning, SSH connectivity, base tool installation - 13 agent scripts: claude, openclaw, nanoclaw, aider, goose, codex, interpreter, gemini, amazonq, cline, gptme, opencode, plandex - upcloud/README.md with usage docs and env var reference - manifest.json updated with UpCloud cloud entry and 13 matrix entries UpCloud uses HTTP Basic Auth (username:password) instead of Bearer tokens. Servers are provisioned via POST /1.3/server with SSH keys injected via login_user. Ubuntu template UUID is dynamically resolved from the API. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Sprite <noreply@sprite.dev> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
118 lines
2.6 KiB
Markdown
118 lines
2.6 KiB
Markdown
# RunPod
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RunPod GPU cloud pods via GraphQL API. [RunPod](https://www.runpod.io/)
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## Prerequisites
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1. A RunPod account with API key from [Settings](https://www.runpod.io/console/user/settings)
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2. SSH public key added to your RunPod account (same settings page)
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## Agents
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#### Claude Code
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/claude.sh)
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```
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#### OpenClaw
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/openclaw.sh)
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```
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#### NanoClaw
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/nanoclaw.sh)
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```
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#### Aider
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/aider.sh)
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```
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#### Goose
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/goose.sh)
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```
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#### Codex CLI
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/codex.sh)
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```
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#### Open Interpreter
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/interpreter.sh)
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```
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#### Gemini CLI
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/gemini.sh)
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```
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#### Amazon Q CLI
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/amazonq.sh)
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```
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#### Cline
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/cline.sh)
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```
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#### gptme
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/gptme.sh)
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```
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#### OpenCode
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/opencode.sh)
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```
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#### Plandex
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```bash
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/plandex.sh)
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```
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## Non-Interactive Mode
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```bash
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RUNPOD_SERVER_NAME=dev-gpu \
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RUNPOD_API_KEY=your-api-key \
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OPENROUTER_API_KEY=sk-or-v1-xxxxx \
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bash <(curl -fsSL https://openrouter.ai/lab/spawn/runpod/claude.sh)
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```
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## Environment Variables
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| Variable | Description | Default |
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| `RUNPOD_API_KEY` | RunPod API key | _(prompted)_ |
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| `RUNPOD_SERVER_NAME` | Pod name | _(prompted)_ |
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| `RUNPOD_GPU_TYPE` | GPU type ID | `NVIDIA RTX A4000` |
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| `RUNPOD_GPU_COUNT` | Number of GPUs | `1` |
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| `RUNPOD_IMAGE` | Docker image | `runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04` |
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| `RUNPOD_VOLUME_GB` | Persistent volume size (GB) | `50` |
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| `RUNPOD_CONTAINER_DISK_GB` | Container disk size (GB) | `20` |
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| `RUNPOD_CLOUD_TYPE` | Cloud type (`ALL`, `COMMUNITY`, `SECURE`) | `ALL` |
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| `OPENROUTER_API_KEY` | OpenRouter API key | _(prompted via OAuth)_ |
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## Notes
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- RunPod is a GPU cloud provider -- pods come with NVIDIA GPUs and CUDA pre-installed
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- SSH keys must be added via the RunPod web console (not via API)
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- Pods use Docker containers; base tools are installed automatically on first run
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- SSH access is via direct TCP port mapping or RunPod's SSH proxy
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