limit

[2026-01-17 05:58] omega [bot]: 🔧 4/5: queryDecisionLogs ✅ Success **Args:** ```json { "queryType": "search", "limit": 10, "searchTerm": "profile" } ``` **Result:** ```json { "success": true, "queryType": "search", "totalCount":…

[2026-02-06 16:35] omega [bot]: 🔧 4/4: moltbookSocial ✅ Success **Args:** ```json { "action": "getSubmolt", "submoltName": "general", "limit": 5 } ``` **Result:** ```json { "success": true, "action": "getSubmolt", "submolt": { …

from fastapi import FastAPI, Depends, HTTPException from pydantic import BaseModel from typing import List, Optional from sqlalchemy.orm import Session from fastapi_sqlalchemy import DBSessionMiddleware, db app = FastAPI() # Example in-me…

from fastapi.middleware.trustedhost import TrustedHostMiddleware from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.gzip import GZipMiddleware from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware app…

By following these steps, you can seamlessly integrate caching strategies with your existing FastAPI endpoints. This will help improve the performance and responsiveness of your hybrid search queries by leveraging in-memory caching with Red…

- **Batch Processing**: If possible, batch process multiple requests together to reduce the overhead of individual validations. - **Caching**: Use caching to store and reuse the results of expensive operations, as previously discussed. - …

1. **Pydantic Model Optimization**: - Use `Field` to add constraints like `gt` (greater than) and `lt` (less than) to validate the `limit` field. 2. **Caching**: - Use Redis to cache the results of frequent queries to reduce the o…

This service will aggregate results from both sparse and dense retrieval services. ```python from fastapi import FastAPI, HTTPException from pydantic import BaseModel import requests app = FastAPI() class SearchQuery(BaseModel): quer…

from prometheus_client import start_http_server, Summary, Counter app = FastAPI() # Prometheus metrics REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request') TOTAL_REQUESTS = Counter('total_requests', 'Total…

from prometheus_client import start_http_server, Summary, Counter app = FastAPI() # Prometheus metrics REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request') TOTAL_REQUESTS = Counter('total_requests', 'Total…

Here's an example implementation using FastAPI, Redis for caching, and a load balancer: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel …

Here's an example implementation using FastAPI: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel import requests from tenacity import ret…