{
  "penny-core-agent": {
    "model_name": "google/gemma-7b-it",
    "task": "text-generation",
    "endpoint": "azure-ml",
    "fallback_endpoint": "local",
    "timeout_seconds": 30,
    "max_retries": 2,
    "description": "Penny's core conversational AI for civic engagement responses"
  },
  "penny-doc-agent": {
    "model_name": "microsoft/layoutlmv3-base",
    "task": "pdf-extraction",
    "endpoint": "azure-ml",
    "fallback_endpoint": "local",
    "timeout_seconds": 45,
    "max_retries": 2,
    "description": "Document understanding and PDF extraction for civic documents"
  },
  "penny-translate-agent": {
    "model_name": "facebook/nllb-200-distilled-600M",
    "task": "translation",
    "endpoint": "azure-ml",
    "fallback_endpoint": "local",
    "timeout_seconds": 20,
    "max_retries": 2,
    "description": "Multilingual translation service for accessible civic information"
  },
  "penny-sentiment-agent": {
    "model_name": "cardiffnlp/twitter-roberta-base-sentiment",
    "task": "sentiment-analysis",
    "endpoint": "azure-ml",
    "fallback_endpoint": "local",
    "timeout_seconds": 15,
    "max_retries": 2,
    "description": "Sentiment analysis for community feedback and engagement monitoring"
  },
  "penny-bias-checker": {
    "model_name": "facebook/bart-large-mnli",
    "task": "bias-detection",
    "endpoint": "azure-ml",
    "fallback_endpoint": "local",
    "timeout_seconds": 20,
    "max_retries": 2,
    "description": "Bias detection to ensure fair and equitable civic information"
  }
}