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ai-pipeline-brief
InactiveTool of The Stall
declared in 4.97.1
AI pipeline architecture brief: finds the best HuggingFace models for your ML task, validates or generates your cron schedule, and synthesizes a deployment guide — all in one call. Serves AI developers and agent builders who need model selection + scheduling together. Input: task description (e.g. 'classify customer sentiment hourly from social media feeds') plus optional HuggingFace pipeline task filter and schedule. Returns: top model recommendations, validated cron expression, pipeline steps, deployment notes, and cost estimate.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"task_description"
],
"properties": {
"schedule": {
"type": "string",
"description": "When to run the pipeline. Accepts: named shortcuts (@hourly, @daily, @weekly, @monthly), natural language ('every 4 hours', 'daily', 'every 30 minutes'), or a raw cron expression (e.g. '0 */4 * * *'). Defaults to hourly if omitted."
},
"model_limit": {
"type": "integer",
"description": "How many HuggingFace models to consider in the search (3–10). Default: 8."
},
"pipeline_task": {
"type": "string",
"description": "Optional HuggingFace pipeline task filter to narrow model search. Common values: text-classification, text-generation, summarization, token-classification, question-answering, sentence-similarity, image-classification, zero-shot-classification."
},
"task_description": {
"type": "string",
"description": "What the AI pipeline should do. Be specific (e.g. 'classify customer support tickets into 5 categories every 15 minutes' or 'generate daily summaries of earnings call transcripts'). Required."
}
},
"additionalProperties": false
}Parent server
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