kestrel-cloud-gcp
GCP Compute Engine provider for Kestrel Sovereign agents. Provision GPU instances, run LoRA training jobs over SSH, and manage instance lifecycle from your agent's tools.
Installation
uv pip install kestrel-cloud-gcp
The feature is auto-discovered by Kestrel Sovereign via the kestrel_sovereign.features entry point — install it alongside kestrel-sovereign and GCPComputeFeature registers itself at startup.
Configuration
| Variable | Description |
|---|---|
GCP_PROJECT_ID |
GCP project ID (required) |
GOOGLE_APPLICATION_CREDENTIALS |
Path to service-account JSON (or use ADC / Workload Identity) |
Optional [gcp_compute] section in kestrel.toml:
[gcp_compute.manager]
default_zone = "us-central1-a"
default_region = "us-central1"
prefer_spot = true
What's provided
GCPComputeFeature— agent-facing tools to provision/list/stop GPU instances, run training over SSH, monitor jobs- Standalone API:
GCPComputeEngineManagerfor direct programmatic use - Spot-instance preference + automatic lifecycle (TTL, budget caps)
Dependencies
kestrel-sovereign-sdk>=0.2,<1— baseFeature,tool,ToolCategory,BackendTypeinterfaceskestrel-sovereign>=0.5,<1—kestrel.tomlunified-config loader (runtime)google-cloud-compute>=1.15.0google-cloud-logging>=3.5.0
Development
uv pip install -e '.[test]'
uv run pytest
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for kestrel-cloud-gcp 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| kestrel_cloud_gcp-0.2.1.tar.gz | 21.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kestrel_cloud_gcp-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.8 kB
Release files / kestrel_cloud_gcp-0.2.1.tar.gz
| Download URL | kestrel_cloud_gcp-0.2.1.tar.gz |
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| Size | 21.8 kB |
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SHA-256 checksum How to use checksums |
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| Size | 26.0 kB |
| Tags | Python 3 |
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