bentoml-model-packager
SkillAI & modelsBentoML skill for model packaging, serving, and containerization.
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Details
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What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-science-ml/skills/bentoml-model-packager/SKILL.md and read by Ahel’s review.
Overview
BentoML skill for model packaging, serving, and containerization with support for multiple ML frameworks.
Capabilities
- Bento creation and versioning
- Multi-framework model support (sklearn, PyTorch, TensorFlow, etc.)
- API endpoint definition with validation
- Docker containerization
- Kubernetes deployment YAML generation
- Adaptive batching configuration
- Model signatures and runners
- Service composition
Target Processes
- Model Deployment Pipeline with Canary Release
- Model Training Pipeline
- ML System Integration Testing
Tools and Libraries
- BentoML
- Docker
- Kubernetes
Input Schema
{
"type": "object",
"required": ["action"],
"properties": {
"action": {
"type": "string",
"enum": ["save", "build", "serve", "containerize", "push", "list"],
"description": "BentoML action to perform"
},
"modelConfig": {
"type": "object",
"properties": {
"name": { "type": "string" },
"framework": { "type": "string" },
"modelPath": { "type": "string" },
"signatures": { "type": "object" }
}
},
"serviceConfig": {
"type": "object",
"properties": {
"servicePath": { "type": "string" },
"port": { "type": "integer" },
"workers": { "type": "integer" },
"batchConfig": {
"type": "object",
"properties": {
"maxBatchSize": { "type": "integer" },
"maxLatencyMs": { "type": "integer" }
}
}
}
},
"buildConfig": {
"type": "object",
"properties": {
"bentoName": { "type": "string" },
"version": { "type": "string" },
"includeFiles": { "type": "array", "items": { "type": "string" } },
"pythonRequirements": { "type": "string" }
}
},
"containerConfig": {
"type": "object",
"properties": {
"imageName": { "type": "string" },
"registry": { "type": "string" },
"dockerOptions": { "type": "object" }
}
}
}
}
Output Schema
{
"type": "object",
"required": ["status", "action"],
"properties": {
"status": {
"type": "string",
"enum": ["success", "error"]
},
"action": {
"type": "string"
},
"modelTag": {
"type": "string"
},
"bentoTag": {
"type": "string"
},
"imageTag": {
"type": "string"
},
"endpoint": {
"type": "string"
},
"kubernetesYaml": {
"type": "string"
}
}
}
Usage Example
{
kind: 'skill',
title: 'Package and containerize model',
skill: {
name: 'bentoml-model-packager',
context: {
action: 'containerize',
modelConfig: {
name: 'fraud_classifier',
framework: 'sklearn',
modelPath: 'models/fraud_model.pkl'
},
buildConfig: {
bentoName: 'fraud-service',
version: '1.0.0',
pythonRequirements: 'requirements.txt'
},
containerConfig: {
imageName: 'fraud-service',
registry: 'gcr.io/my-project'
}
}
}
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
bentoml-model-packager- Source
- github.com/a5c-ai/babysitter
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