Babysitter seldon-model-deployer
Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/data-science-ml/skills/seldon-model-deployer" ~/.claude/skills/a5c-ai-babysitter-seldon-model-deployer && rm -rf "$T"
manifest:
library/specializations/data-science-ml/skills/seldon-model-deployer/SKILL.mdsource content
seldon-model-deployer
Overview
Seldon Core deployment skill for model serving, A/B testing, canary deployments, and advanced inference graphs on Kubernetes.
Capabilities
- SeldonDeployment creation and management
- Multi-model serving
- Traffic splitting (canary/shadow/A/B)
- Model monitoring integration
- Custom inference graphs
- Explainer deployment (SHAP, Anchor)
- Request logging and tracing
- Autoscaling configuration
Target Processes
- Model Deployment Pipeline with Canary Release
- A/B Testing Framework for ML Models
- ML Model Retraining Pipeline
Tools and Libraries
- Seldon Core
- Seldon Deploy
- Kubernetes
- Istio/Ambassador (ingress)
Input Schema
{ "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["deploy", "update", "rollback", "delete", "status", "traffic-split"], "description": "Seldon action to perform" }, "deploymentConfig": { "type": "object", "properties": { "name": { "type": "string" }, "namespace": { "type": "string" }, "modelUri": { "type": "string" }, "implementation": { "type": "string" }, "replicas": { "type": "integer" }, "resources": { "type": "object", "properties": { "requests": { "type": "object" }, "limits": { "type": "object" } } } } }, "trafficConfig": { "type": "object", "properties": { "canaryPercent": { "type": "integer" }, "shadowEnabled": { "type": "boolean" }, "abTestEnabled": { "type": "boolean" } } }, "explainerConfig": { "type": "object", "properties": { "type": { "type": "string", "enum": ["anchor_tabular", "anchor_text", "shap"] }, "enabled": { "type": "boolean" } } } } }
Output Schema
{ "type": "object", "required": ["status", "action"], "properties": { "status": { "type": "string", "enum": ["success", "error", "pending"] }, "action": { "type": "string" }, "deploymentName": { "type": "string" }, "endpoint": { "type": "string" }, "deploymentStatus": { "type": "string", "enum": ["creating", "available", "failed", "unknown"] }, "replicas": { "type": "object", "properties": { "desired": { "type": "integer" }, "ready": { "type": "integer" } } }, "trafficSplit": { "type": "object" } } }
Usage Example
{ kind: 'skill', title: 'Deploy model with canary', skill: { name: 'seldon-model-deployer', context: { action: 'deploy', deploymentConfig: { name: 'fraud-detector', namespace: 'ml-serving', modelUri: 'gs://models/fraud-v2', implementation: 'SKLEARN_SERVER', replicas: 3 }, trafficConfig: { canaryPercent: 10 }, explainerConfig: { type: 'shap', enabled: true } } } }