RunPod GPU cloud provider for Kestrel Sovereign — provision pods, run training jobs, lifecycle management
Project description
kestrel-cloud-runpod
RunPod GPU cloud provider for Kestrel Sovereign agents. Provision pods, run LoRA training, manage pod lifecycle, plus a RunPod-backed Ollama provider.
Installation
uv pip install kestrel-cloud-runpod
The feature is auto-discovered by Kestrel Sovereign via the kestrel_sovereign.features entry point — install it alongside kestrel-sovereign and RunPodFeature registers itself at startup.
Configuration
| Variable | Description |
|---|---|
RUNPOD_API_KEY |
RunPod API key (required) |
Optional [runpod] section in kestrel.toml for default profile preferences.
What's provided
RunPodFeature— agent-facing tools for pod search, provisioning, training, lifecycle- Standalone API:
RunPodManagerfor direct programmatic use - RunPod-backed Ollama integration (when running large models on rented GPUs)
Dependencies
kestrel-sovereign-sdk>=0.2,<1— baseFeature,tool,ToolCategory,BackendTypekestrel-sovereign>=0.7,<1—kestrel.tomlunified-config loader (runtime)runpod>=1.8.1
Development
uv pip install -e '.[test]'
uv run pytest
License
Apache-2.0
Project details
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