SportsIntelligenceResponse

Response model for sports intelligence chat

Properties

Property	Type	Required	Description
`response`	`string`	✅ Yes	AI response to the query
`query_type`	`string`	✅ Yes	Type of query processed
`workflow_triggered`	`object`	❌ No	Workflow that was triggered
`data_sources`	`object`	❌ No	Data sources used
`confidence`	`number`	✅ Yes	Confidence score of the response
`follow_up_actions`	`object`	❌ No	Suggested follow-up actions
`metadata`	`object`	❌ No	Additional metadata
`credits_used`	`number`	✅ Yes	Credits consumed for this query
`credits_remaining`	`number`	✅ Yes	User's remaining credits
`insufficient_credits`	`boolean`	❌ No	Whether user has insufficient credits

Example

{
  "response": "example",
  "query_type": "example",
  "workflow_triggered": {},
  "data_sources": {},
  "confidence": 0,
  "follow_up_actions": {},
  "metadata": {},
  "credits_used": 0,
  "credits_remaining": 0,
  "insufficient_credits": false
}

Used In

POST /api/sports-intelligence

Code Examples

TypeScript

interface SportsIntelligenceResponse {
  response: string;
  query_type: string;
  workflow_triggered?: any;
  data_sources?: any;
  confidence: number;
  follow_up_actions?: any;
  metadata?: any;
  credits_used: number;
  credits_remaining: number;
  insufficient_credits?: boolean;
}
 
// Usage example
const data: SportsIntelligenceResponse = {
  "response": "example",
  "query_type": "example",
  "workflow_triggered": {},
  "data_sources": {},
  "confidence": 0,
  "follow_up_actions": {},
  "metadata": {},
  "credits_used": 0,
  "credits_remaining": 0,
  "insufficient_credits": false
};

Python

from data_layer.schemas import SportsIntelligenceResponse
 
# Create instance
data = SportsIntelligenceResponse(
    # Add your field values here
)

cURL

curl -X POST "https://altsportsleagues-backend-2qcdjegnaa-uc.a.run.app/api/endpoint" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{   "response": "example",   "query_type": "example",   "workflow_triggered": {},   "data_sources": {},   "confidence": 0,   "follow_up_actions": {},   "metadata": {},   "credits_used": 0,   "credits_remaining": 0,   "insufficient_credits": false }'

Validation Rules

Required Fields: response, query_type, confidence, credits_used, credits_remaining

Additional Information

Type: object
Source: Generated from Pydantic models in data_layer/schemas/
Auto-validated: All fields are validated by FastAPI

This documentation is auto-generated from the OpenAPI specification.

SportsIntelligenceRequest SystemMetrics