repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/services/db_service.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/services/db_service.py | """
Database service module for PostgreSQL connections using SQLAlchemy.
This module provides utilities for connecting to a PostgreSQL database
with SQLAlchemy, including connection pooling, session management,
and context managers for proper resource management.
"""
import os
from typing import Any, AsyncGenerator, ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/scrape.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/scrape.py | from firecrawl import FirecrawlApp, ScrapeOptions
import os
from agno.tools import tool
from loguru import logger
from config.logger import logger_hook
app = FirecrawlApp(api_key=os.getenv("FIRECRAWL_API_KEY"))
@tool(
name="scrape_website",
description="Scrape a website and return the markdown content.",
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/google_flight.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/google_flight.py | from fast_flights import FlightData, Passengers, Result, get_flights
from typing import Literal
from loguru import logger
from agno.tools import tool
from config.logger import logger_hook
@tool(name="get_flights", show_result=True, tool_hooks=[logger_hook])
def get_google_flights(
departure: str,
destination:... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/kayak_hotel.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/kayak_hotel.py | from config.logger import logger_hook
from typing import Optional
from agno.tools import tool
from models.hotel import HotelSearchRequest
from loguru import logger
@tool(
name="kayak_hotel_url_generator",
show_result=True,
tool_hooks=[logger_hook]
)
def kayak_hotel_url_generator(
destination: str, chec... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/kayak_flight.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/tools/kayak_flight.py | from config.logger import logger_hook
from typing import Optional
from agno.tools import tool
from models.flight import FlightSearchRequest
from loguru import logger
@tool(
name="kayak_flight_url_generator",
show_result=True,
tool_hooks=[logger_hook]
)
def kayak_flight_url_generator(
departure: str, de... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/food.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/food.py | from agno.tools.exa import ExaTools
from config.llm import model
from agno.agent import Agent
dining_agent = Agent(
name="Culinary Guide",
role="Research dining and food experiences when asked by team leader",
model=model,
tools=[ExaTools()],
description="You research restaurants, food markets, cul... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/budget.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/budget.py | from agno.agent import Agent
from config.llm import model
budget_agent = Agent(
name="Budget Optimizer",
role="Calculate costs and optimize travel budgets when asked by team leader",
model=model,
description="You research costs, compare prices, and optimize travel budgets when assigned by the team lead... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/destination.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/destination.py | from agno.agent import Agent
from agno.tools.exa import ExaTools
from agno.tools.firecrawl import FirecrawlTools
from config.llm import model
destination_agent = Agent(
name="Destination Explorer",
model=model,
tools=[
ExaTools(
num_results=10,
),
],
description="You are... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/flight.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/flight.py | from agno.agent import Agent
from agno.tools.firecrawl import FirecrawlTools
from tools.google_flight import get_google_flights
from config.llm import model
flight_search_agent = Agent(
name="Flight Search Assistant",
model=model,
tools=[
# FirecrawlTools(poll_interval=10),
# kayak_flight_u... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/hotel.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/hotel.py | from agno.agent import Agent
from tools.kayak_hotel import kayak_hotel_url_generator
from tools.scrape import scrape_website
from config.llm import model
from models.hotel import HotelResult, HotelResults
hotel_search_agent = Agent(
name="Hotel Search Assistant",
model=model,
tools=[
scrape_website... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/team.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/team.py | from agno.team.team import Team
from config.llm import model, model2
from agents.destination import destination_agent
from agents.hotel import hotel_search_agent
from agents.food import dining_agent
from agents.budget import budget_agent
from agents.flight import flight_search_agent
from agents.itinerary import itiner... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/structured_output.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/structured_output.py | from typing import TypeVar, Type, Any
from pydantic import BaseModel
from agno.agent import Agent
from loguru import logger
from config.llm import model
import json
import re
from pydantic import ValidationError
T = TypeVar("T", bound=BaseModel)
def clean_json_string(json_str: str) -> str:
"""
Clean a JSON s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/itinerary.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/agents/itinerary.py | from agno.agent import Agent
from agno.tools.exa import ExaTools
from agno.tools.firecrawl import FirecrawlTools
from agno.tools.reasoning import ReasoningTools
from config.llm import model
from typing import Optional
from datetime import datetime, timedelta
from textwrap import dedent
itinerary_agent = Agent(
na... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/plan_task.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/plan_task.py | from datetime import datetime, timezone
from enum import Enum
from typing import Optional
from sqlalchemy import String, DateTime, Enum as SQLEnum, JSON
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class TaskStatus(str, Enum):
queued = "queued"
in_progress = "in_progress"
success = "... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/flight.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/flight.py | from pydantic import BaseModel, Field
from typing import List, Optional
class FlightResult(BaseModel):
flight_number: str = Field(description="The flight number of the flight")
price: str = Field(description="The price of the flight")
airline: str = Field(description="The airline of the flight")
depart... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/trip_db.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/trip_db.py | from sqlalchemy import Column, String, TIMESTAMP, ForeignKey, Text, DateTime
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
from datetime import datetime, timezone
from typing import Optional
from cuid2 import Cuid
CUID_GENERATOR: Cuid = Cuid()
from sqlalchemy.orm impo... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/hotel.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/hotel.py | from pydantic import BaseModel, Field
from typing import List
class HotelResult(BaseModel):
hotel_name: str = Field(description="The name of the hotel")
price: str = Field(description="The price of the hotel")
rating: str = Field(description="The rating of the hotel")
address: str = Field(description="... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/travel_plan.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/models/travel_plan.py | from pydantic import BaseModel, Field
from typing import List
from models.hotel import HotelResult
class TravelDates(BaseModel):
start: str = ""
end: str = ""
class TravelPlanRequest(BaseModel):
name: str = ""
destination: str = ""
starting_location: str = ""
travel_dates: TravelDates = Trav... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/repository/plan_task_repository.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/repository/plan_task_repository.py | from datetime import datetime, timezone
from typing import Optional, List
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from models.plan_task import PlanTask, TaskStatus
from services.db_service import get_db_session
async def create_plan_task(
trip_plan_id: str,
task_type: s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/repository/trip_plan_repository.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/repository/trip_plan_repository.py | from datetime import datetime, timezone
from typing import Optional, List
from sqlalchemy import select, delete
from sqlalchemy.ext.asyncio import AsyncSession
from models.trip_db import TripPlanStatus, TripPlanOutput
from services.db_service import get_db_session
async def create_trip_plan_status(
trip_plan_id... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/api/__init__.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/api/__init__.py | from .app import app
__all__ = ["app"] | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/api/app.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/api/app.py | from fastapi import FastAPI, APIRouter
from fastapi.middleware.cors import CORSMiddleware
from loguru import logger
from datetime import datetime, timezone
from contextlib import asynccontextmanager
from services.db_service import initialize_db_pool, close_db_pool
from router.plan import router as plan_router
router =... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/config/llm.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/config/llm.py | from agno.models.google import Gemini
from agno.models.openai import OpenAIChat
from agno.models.openrouter import OpenRouter
# model = Gemini(id="gemini-2.0-flash-001", temperature=0.1)
# model2 = OpenAIChat(id="gpt-4o", temperature=0.1)
model = OpenRouter(id="google/gemini-2.0-flash-001", temperature=0.3, max_token... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/config/logger.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/config/logger.py | import sys
import logging
import inspect
from typing import Dict, Any, Callable
from loguru import logger
from pathlib import Path
# Create logs directory if it doesn't exist
# LOGS_DIR = Path("logs")
# LOGS_DIR.mkdir(exist_ok=True)
def configure_logger(console_level: str = "INFO", log_format: str = None) -> None:
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/router/plan.py | advanced_ai_agents/multi_agent_apps/agent_teams/ai_travel_planner_agent_team/backend/router/plan.py | import asyncio
from fastapi import APIRouter, HTTPException, status
from loguru import logger
from models.travel_plan import TravelPlanAgentRequest, TravelPlanResponse
from models.plan_task import TaskStatus
from services.plan_service import generate_travel_plan
from repository.plan_task_repository import create_plan_t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/research_agent_llama3.py | advanced_ai_agents/multi_agent_apps/multi_agent_researcher/research_agent_llama3.py | # Import the required libraries
import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.tools.newspaper4k import Newspaper4kTools
from agno.models.oll... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/multi_agent_researcher/research_agent.py | advanced_ai_agents/multi_agent_apps/multi_agent_researcher/research_agent.py | # Import the required libraries
import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.tools.newspaper4k im... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/utils.py | advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/utils.py | from typing import List, Optional, Tuple
import streamlit as st
# Define constants for players
X_PLAYER = "X"
O_PLAYER = "O"
EMPTY = " "
class TicTacToeBoard:
def __init__(self):
# Initialize empty 3x3 board
self.board = [[EMPTY for _ in range(3)] for _ in range(3)]
self.current_player =... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/agents.py | advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/agents.py | """
Tic Tac Toe Battle
---------------------------------
This example shows how to build a Tic Tac Toe game where two AI agents play against each other.
The game features a referee agent coordinating between two player agents using different
language models.
Usage Examples:
---------------
1. Quick game with default s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/app.py | advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/app.py | import nest_asyncio
import streamlit as st
from dotenv import load_dotenv
import os
# Load environment variables from .env file
load_dotenv()
from agents import get_tic_tac_toe_players
from agno.run.agent import RunOutput
from agno.utils.log import logger
from utils import (
CUSTOM_CSS,
TicTacToeBoard,
di... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/ai_chess_agent.py | advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/ai_chess_agent.py | import chess
import chess.svg
import streamlit as st
from autogen import ConversableAgent, register_function
if "openai_api_key" not in st.session_state:
st.session_state.openai_api_key = None
if "board" not in st.session_state:
st.session_state.board = chess.Board()
if "made_move" not in st.session_state:
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/ai_3dpygame_r1.py | advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/ai_3dpygame_r1.py | import streamlit as st
from openai import OpenAI
from agno.agent import Agent as AgnoAgent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat as AgnoOpenAIChat
from langchain_openai import ChatOpenAI
import asyncio
from browser_use import Browser
st.set_page_config(page_title="PyGame Code ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_investment_agent/investment_agent.py | advanced_ai_agents/single_agent_apps/ai_investment_agent/investment_agent.py | # import necessary python libraries
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from agno.os import AgentOS
# create the AI investment agent
agent = Agent(
name="AI Investment Agent",
model=OpenAIChat(id="gpt-5.2-2025-12-11"),
tools=[... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_system_architect_r1/ai_system_architect_r1.py | advanced_ai_agents/single_agent_apps/ai_system_architect_r1/ai_system_architect_r1.py | from typing import Optional, List, Dict, Any, Union
import os
import time
import streamlit as st
from openai import OpenAI
import anthropic
from dotenv import load_dotenv
from pydantic import BaseModel, Field
from enum import Enum
import json
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.m... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_meeting_agent/meeting_agent.py | advanced_ai_agents/single_agent_apps/ai_meeting_agent/meeting_agent.py | import streamlit as st
from crewai import Agent, Task, Crew, LLM
from crewai.process import Process
from crewai_tools import SerperDevTool
import os
# Streamlit app setup
st.set_page_config(page_title="AI Meeting Agent 📝", layout="wide")
st.title("AI Meeting Preparation Agent 📝")
# Sidebar for API keys
st.sidebar.h... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/ai_startup_insight_fire1_agent.py | advanced_ai_agents/single_agent_apps/ai_startup_insight_fire1_agent/ai_startup_insight_fire1_agent.py | from firecrawl import FirecrawlApp
import streamlit as st
import os
import json
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
st.set_page_config(
page_title="Startup Info Extraction",
page_icon="🔍",
layout="wide"
)
st.title("AI Startup Insight... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/research_agent_gemini_interaction_api/research_planner_executor_agent.py | advanced_ai_agents/single_agent_apps/research_agent_gemini_interaction_api/research_planner_executor_agent.py | """Research Planner using Gemini Interactions API - demonstrates stateful conversations, model mixing, and background execution."""
import streamlit as st, time, re
from google import genai
def get_text(outputs): return "\n".join(o.text for o in (outputs or []) if hasattr(o, 'text') and o.text) or ""
def parse_tasks... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_customer_support_agent/customer_support_agent.py | advanced_ai_agents/single_agent_apps/ai_customer_support_agent/customer_support_agent.py | import streamlit as st
from openai import OpenAI
from mem0 import Memory
import os
import json
from datetime import datetime, timedelta
# Set up the Streamlit App
st.title("AI Customer Support Agent with Memory 🛒")
st.caption("Chat with a customer support assistant who remembers your past interactions.")
# Set the O... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_movie_production_agent/movie_production_agent.py | advanced_ai_agents/single_agent_apps/ai_movie_production_agent/movie_production_agent.py | # Import the required libraries
import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.team import Team
from agno.tools.serpapi import SerpApiTools
from agno.models.google import Gemini
from textwrap import dedent
# Set up the Streamlit app
st.title("AI Movie Production Agen... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_email_gtm_reachout_agent/ai_email_gtm_reachout.py | advanced_ai_agents/single_agent_apps/ai_email_gtm_reachout_agent/ai_email_gtm_reachout.py | import json
import os
import streamlit as st
from datetime import datetime
from textwrap import dedent
from typing import Dict, Iterator, List, Optional, Literal
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.db.sqlite import SqliteDb
from agno.tools.exa import ExaTools
from agno.util... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | true |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_journalist_agent/journalist_agent.py | advanced_ai_agents/single_agent_apps/ai_journalist_agent/journalist_agent.py | # Import the required libraries
from textwrap import dedent
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.serpapi import SerpApiTools
from agno.tools.newspaper4k import Newspaper4kTools
import streamlit as st
from agno.models.openai import OpenAIChat
# Set up the Streamlit app
st.ti... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_recipe_meal_planning_agent/ai_recipe_meal_planning_agent.py | advanced_ai_agents/single_agent_apps/ai_recipe_meal_planning_agent/ai_recipe_meal_planning_agent.py | import asyncio
import os
import streamlit as st
import random
from textwrap import dedent
from typing import Dict, List, Optional
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from agno.tools import tool
import requests
from dotenv import load_dotenv
from a... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/main.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/main.py | # main.py
from langchain_google_genai import ChatGoogleGenerativeAI
from windows_use.agent import Agent
from dotenv import load_dotenv
load_dotenv()
llm=ChatGoogleGenerativeAI(model='gemini-2.0-flash')
instructions=['We have Claude Desktop, Perplexity and ChatGPT App installed on the desktop so if you need any help, ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/__init__.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/__init__.py | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false | |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/views.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/views.py | from windows_use.tree.views import TreeState
from dataclasses import dataclass
from typing import Literal,Optional
@dataclass
class App:
name:str
depth:int
status:Literal['Maximized','Minimized','Normal']
size:'Size'
def to_string(self):
return f'Name: {self.name}|Depth: {self.depth}|Statu... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/config.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/config.py | from typing import Set
AVOIDED_APPS:Set[str]=set([
'Recording toolbar'
])
EXCLUDED_APPS:Set[str]=set([
'Program Manager','Taskbar'
]).union(AVOIDED_APPS) | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/__init__.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/desktop/__init__.py | from uiautomation import GetScreenSize, Control, GetRootControl, ControlType, GetFocusedControl
from windows_use.desktop.views import DesktopState,App,Size
from windows_use.desktop.config import EXCLUDED_APPS
from PIL.Image import Image as PILImage
from windows_use.tree import Tree
from fuzzywuzzy import process
from t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/views.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/views.py | from langchain_core.messages.base import BaseMessage
from pydantic import BaseModel,Field
from typing import Optional
from uuid import uuid4
class AgentState(BaseModel):
id: str = Field(default_factory=lambda: str(uuid4()))
consecutive_failures: int = 0
result: str = ''
agent_data: 'AgentData' = None
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/service.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/service.py | from windows_use.agent.tools.service import click_tool, type_tool, launch_tool, shell_tool, clipboard_tool, done_tool, shortcut_tool, scroll_tool, drag_tool, move_tool, key_tool, wait_tool, scrape_tool
from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
from windows_use.agent.views import AgentS... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/utils.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/utils.py | from langchain_core.messages import BaseMessage,HumanMessage
from windows_use.agent.views import AgentData
import ast
import re
def read_file(file_path: str) -> str:
with open(file_path, 'r') as file:
return file.read()
def extract_agent_data(message: BaseMessage) -> AgentData:
text = message.cont... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/__init__.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/__init__.py | from windows_use.agent.service import Agent
__all__=[
'Agent'
] | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/views.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/views.py | from pydantic import BaseModel,Field
from typing import Literal
class SharedBaseModel(BaseModel):
class Config:
extra='allow'
class Done(SharedBaseModel):
answer:str = Field(...,description="the detailed final answer to the user query in proper markdown format",examples=["The task is completed success... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/service.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/service.py | from windows_use.agent.tools.views import Click, Type, Launch, Scroll, Drag, Move, Shortcut, Key, Wait, Scrape,Done, Clipboard, Shell
from windows_use.desktop import Desktop
from humancursor import SystemCursor
from markdownify import markdownify
from langchain.tools import tool
from typing import Literal
import uiauto... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/__init__.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/tools/__init__.py | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false | |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/prompt/service.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/prompt/service.py | from windows_use.agent.registry.views import ToolResult
from windows_use.agent.views import AgentStep, AgentData
from windows_use.desktop.views import DesktopState
from langchain.prompts import PromptTemplate
from importlib.resources import files
from datetime import datetime
from getpass import getuser
from textwrap i... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/registry/views.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/registry/views.py | from pydantic import BaseModel
from typing import Callable
class Tool(BaseModel):
name:str
description:str
function: Callable
params: dict
class ToolResult(BaseModel):
is_success: bool
content: str | None = None
error: str | None = None | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/registry/service.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/agent/registry/service.py | from windows_use.agent.registry.views import Tool as ToolData, ToolResult
from windows_use.desktop import Desktop
from langchain.tools import Tool
from textwrap import dedent
class Registry:
def __init__(self,tools:list[Tool]):
self.tools=tools
self.tools_registry=self.registry()
def tool_prom... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/views.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/views.py | from dataclasses import dataclass,field
@dataclass
class TreeState:
interactive_nodes:list['TreeElementNode']=field(default_factory=[])
informative_nodes:list['TextElementNode']=field(default_factory=[])
scrollable_nodes:list['ScrollElementNode']=field(default_factory=[])
def interactive_elements_to_s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/config.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/config.py | INTERACTIVE_CONTROL_TYPE_NAMES=set([
'ButtonControl','ListItemControl','MenuItemControl','DocumentControl',
'EditControl','CheckBoxControl', 'RadioButtonControl','ComboBoxControl',
'HyperlinkControl','SplitButtonControl','TabItemControl','CustomControl',
'TreeItemControl','DataItemControl','HeaderItemCo... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/__init__.py | advanced_ai_agents/single_agent_apps/windows_use_autonomous_agent/windows_use/tree/__init__.py | from windows_use.tree.views import TreeElementNode, TextElementNode, ScrollElementNode, Center, BoundingBox, TreeState
from windows_use.tree.config import INTERACTIVE_CONTROL_TYPE_NAMES,INFORMATIVE_CONTROL_TYPE_NAMES
from concurrent.futures import ThreadPoolExecutor, as_completed
from uiautomation import GetRootControl... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_consultant_agent/ai_consultant_agent.py | advanced_ai_agents/single_agent_apps/ai_consultant_agent/ai_consultant_agent.py | import logging
from typing import Dict, Any, List, Union
from dataclasses import dataclass
import base64
import requests
import os
# Google ADK imports
from google.adk.agents import LlmAgent
from google.adk.tools import google_search
from google.adk.sessions import InMemorySessionService
from google.adk.runners import... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_consultant_agent/__init__.py | advanced_ai_agents/single_agent_apps/ai_consultant_agent/__init__.py |
from .ai_consultant_agent import root_agent, session_service, runner, APP_NAME
from . import agent
__all__ = ['root_agent', 'session_service', 'runner', 'APP_NAME', 'agent'] | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_consultant_agent/agent.py | advanced_ai_agents/single_agent_apps/ai_consultant_agent/agent.py |
from .ai_consultant_agent import root_agent
# Export for ADK CLI discovery
__all__ = ['root_agent'] | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_deep_research_agent/deep_research_openai.py | advanced_ai_agents/single_agent_apps/ai_deep_research_agent/deep_research_openai.py | import asyncio
import streamlit as st
from typing import Dict, Any, List
from agents import Agent, Runner, trace
from agents import set_default_openai_key
from firecrawl import FirecrawlApp
from agents.tool import function_tool
# Set page configuration
st.set_page_config(
page_title="OpenAI Deep Research Agent",
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/finance_agent.py | advanced_ai_agents/single_agent_apps/ai_personal_finance_agent/finance_agent.py | from textwrap import dedent
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.serpapi import SerpApiTools
import streamlit as st
from agno.models.openai import OpenAIChat
# Set up the Streamlit app
st.title("AI Personal Finance Planner 💰")
st.caption("Manage your finances with AI Perso... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/health_agent.py | advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/health_agent.py | import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.google import Gemini
st.set_page_config(
page_title="AI Health & Fitness Planner",
page_icon="🏋️♂️",
layout="wide",
initial_sidebar_state="expanded"
)
st.markdown("""
<style>
.main {
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/deepseek_local_rag_agent/deepseek_rag_agent.py | rag_tutorials/deepseek_local_rag_agent/deepseek_rag_agent.py | import os
import tempfile
from datetime import datetime
from typing import List
import streamlit as st
import bs4
from agno.agent import Agent
from agno.models.ollama import Ollama
from langchain_community.document_loaders import PyPDFLoader, WebBaseLoader
from langchain.text_splitter import RecursiveCharacterTextSplit... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/llama3.1_local_rag/llama3.1_local_rag.py | rag_tutorials/llama3.1_local_rag/llama3.1_local_rag.py | import streamlit as st
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.document_loaders import WebBaseLoader
from langchain_community.vectorstores import Chroma
from langchain_ollama import OllamaEmbeddings
from langchain_ollama import ChatOllama
st.title("Chat with Webpage ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/local_rag_agent/local_rag_agent.py | rag_tutorials/local_rag_agent/local_rag_agent.py | # Import necessary libraries
from agno.agent import Agent
from agno.models.ollama import Ollama
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.qdrant import Qdrant
from agno.knowledge.embedder.ollama import OllamaEmbedder
from agno.os import AgentOS
# Define the collection name for the vector databa... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_with_reasoning/rag_reasoning_agent.py | rag_tutorials/agentic_rag_with_reasoning/rag_reasoning_agent.py | import streamlit as st
from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.google import Gemini
from agno.tools.reasoning import ReasoningTools
from agno.vectordb.lancedb import LanceDb, SearchType
from dotenv import load... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/qwen_local_rag/qwen_local_rag_agent.py | rag_tutorials/qwen_local_rag/qwen_local_rag_agent.py | import os
import tempfile
from datetime import datetime
from typing import List
import streamlit as st
import bs4
from agno.agent import Agent
from agno.models.ollama import Ollama
from langchain_community.document_loaders import PyPDFLoader, WebBaseLoader
from langchain.text_splitter import RecursiveCharacterTextSplit... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/rag_agent_cohere/rag_agent_cohere.py | rag_tutorials/rag_agent_cohere/rag_agent_cohere.py | import os
import streamlit as st
from langchain_community.document_loaders import PyPDFLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_cohere import CohereEmbeddings, ChatCohere
from langchain_qdrant import QdrantVectorStore
from qdrant_client import QdrantClient
from qdrant_cli... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/autonomous_rag/autorag.py | rag_tutorials/autonomous_rag/autorag.py | import streamlit as st
import nest_asyncio
from io import BytesIO
from agno.agent import Agent
from agno.document.reader.pdf_reader import PDFReader
from agno.models.openai import OpenAIChat
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.embedder.opena... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/gemini_agentic_rag/agentic_rag_gemini.py | rag_tutorials/gemini_agentic_rag/agentic_rag_gemini.py | import os
import tempfile
from datetime import datetime
from typing import List
import streamlit as st
import google.generativeai as genai
import bs4
from agno.agent import Agent
from agno.models.google import Gemini
from langchain_community.document_loaders import PyPDFLoader, WebBaseLoader
from langchain.text_splitt... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/app/benchmark.py | rag_tutorials/agentic_rag_math_agent/app/benchmark.py | # Add the project root to the Python path
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import pandas as pd
import time
from datetime import datetime
from rag.query_router import answer_math_question
from data.load_gsm8k_data import load_jeebench_dataset
def benc... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/app/streamlit.py | rag_tutorials/agentic_rag_math_agent/app/streamlit.py | import streamlit as st
import sys
import os
import json
import pandas as pd
# Add root to import path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from app.benchmark import benchmark_math_agent # Add this import
from data.load_gsm8k_data import load_jeebench_dataset
from rag.query_r... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/rag/vector.py | rag_tutorials/agentic_rag_math_agent/rag/vector.py | from llama_index.core import VectorStoreIndex, StorageContext
from llama_index.core.schema import Document
from llama_index.core.node_parser import SimpleNodeParser
from llama_index.vector_stores.qdrant import QdrantVectorStore
from llama_index.embeddings.openai import OpenAIEmbedding
from qdrant_client import QdrantCl... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/rag/guardrails.py | rag_tutorials/agentic_rag_math_agent/rag/guardrails.py | import dspy
import os
from dotenv import load_dotenv
# Load API key
load_dotenv("config/.env")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
print("🔐 Loaded OPENAI_API_KEY:", "✅ Found" if OPENAI_API_KEY else "❌ Missing")
# Configure LM
lm = dspy.LM(model="gpt-4o", api_key=OPENAI_API_KEY)
dspy.configure(lm=lm)
# ✅ Si... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/rag/query_router.py | rag_tutorials/agentic_rag_math_agent/rag/query_router.py | # rag/query_router.py
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import os
import requests
import openai
import json
import inspect
from llama_index.core import StorageContext,load_index_from_storage
from dotenv import load_dotenv
from llama_index.vector_sto... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_math_agent/data/load_gsm8k_data.py | rag_tutorials/agentic_rag_math_agent/data/load_gsm8k_data.py | import pandas as pd
def load_jeebench_dataset():
df = pd.read_json("hf://datasets/daman1209arora/jeebench/test.json")
df = df[df["subject"].str.lower() == "math"]
return df[['question', 'gold']]
if __name__ == "__main__":
load_jeebench_dataset()
| python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/rag_chain/app.py | rag_tutorials/rag_chain/app.py | import os
import streamlit as st
from langchain_google_genai import GoogleGenerativeAIEmbeddings
from langchain_chroma import Chroma
from langchain_community.document_loaders import PyPDFLoader
from langchain_text_splitters.sentence_transformers import SentenceTransformersTokenTextSplitter
from langchain_core.prompts ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_embedding_gemma/agentic_rag_embeddinggemma.py | rag_tutorials/agentic_rag_embedding_gemma/agentic_rag_embeddinggemma.py | import streamlit as st
from agno.agent import Agent
from agno.knowledge.embedder.ollama import OllamaEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.ollama import Ollama
from agno.vectordb.lancedb import LanceDb, SearchType
# Page configuration
st.set_page_config(
page_title="Agentic RAG w... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/rag_database_routing/rag_database_routing.py | rag_tutorials/rag_database_routing/rag_database_routing.py | import os
from typing import List, Dict, Any, Literal, Optional
from dataclasses import dataclass
import streamlit as st
from langchain_core.documents import Document
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.document_loaders import PyPDFLoader
from langchain_community.... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/rag-as-a-service/rag_app.py | rag_tutorials/rag-as-a-service/rag_app.py | import streamlit as st
import requests
from anthropic import Anthropic
import time
from typing import List, Dict, Optional
from urllib.parse import urlparse
class RAGPipeline:
def __init__(self, ragie_api_key: str, anthropic_api_key: str):
"""
Initialize the RAG pipeline with API keys.
"""
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/contextualai_rag_agent/contextualai_rag_agent.py | rag_tutorials/contextualai_rag_agent/contextualai_rag_agent.py | import os
import tempfile
import time
from typing import List, Optional, Tuple, Any
import streamlit as st
import requests
import json
import re
from contextual import ContextualAI
def init_session_state() -> None:
if "api_key_submitted" not in st.session_state:
st.session_state.api_key_submitted = False... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/vision_rag/vision_rag.py | rag_tutorials/vision_rag/vision_rag.py | import requests
import os
import io
import base64
import PIL
from PIL import Image
import tqdm
import numpy as np
import streamlit as st
import cohere
from google import genai
import fitz # PyMuPDF
# --- Streamlit App Configuration ---
st.set_page_config(layout="wide", page_title="Vision RAG with Cohere Embed-4")
st.t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/agentic_rag_gpt5/agentic_rag_gpt5.py | rag_tutorials/agentic_rag_gpt5/agentic_rag_gpt5.py | import streamlit as st
import os
from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIChat
from agno.vectordb.lancedb import LanceDb, SearchType
from dotenv import load_dotenv
# Load environment varia... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/local_hybrid_search_rag/local_main.py | rag_tutorials/local_hybrid_search_rag/local_main.py | import os
import logging
import streamlit as st
from raglite import RAGLiteConfig, insert_document, hybrid_search, retrieve_chunks, rerank_chunks, rag
from rerankers import Reranker
from typing import List, Dict, Any
from pathlib import Path
import time
import warnings
logging.basicConfig(level=logging.INFO)
logger = ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/ai_blog_search/app.py | rag_tutorials/ai_blog_search/app.py | from langchain_google_genai import GoogleGenerativeAIEmbeddings
from langchain_qdrant import QdrantVectorStore
from qdrant_client import QdrantClient
from uuid import uuid4
from langchain_community.document_loaders import WebBaseLoader
from langchain_text_splitters import RecursiveCharacterTextSplitter
from langchain.t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/hybrid_search_rag/main.py | rag_tutorials/hybrid_search_rag/main.py | import os
import logging
import streamlit as st
from raglite import RAGLiteConfig, insert_document, hybrid_search, retrieve_chunks, rerank_chunks, rag
from rerankers import Reranker
from typing import List
from pathlib import Path
import anthropic
import time
import warnings
logging.basicConfig(level=logging.INFO)
log... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/rag_tutorials/corrective_rag/corrective_rag.py | rag_tutorials/corrective_rag/corrective_rag.py | from langchain import hub
from langchain.output_parsers import PydanticOutputParser
from langchain_core.output_parsers import StrOutputParser
from langchain.schema import Document
from pydantic import BaseModel, Field
import streamlit as st
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langcha... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/customer_support_voice_agent/customer_support_voice_agent.py | voice_ai_agents/customer_support_voice_agent/customer_support_voice_agent.py | from typing import List, Dict, Optional
from pathlib import Path
import os
from firecrawl import FirecrawlApp
from qdrant_client import QdrantClient
from qdrant_client.http import models
from qdrant_client.http.models import Distance, VectorParams
from fastembed import TextEmbedding
from agents import Agent, Runner
fro... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/voice_rag_openaisdk/rag_voice.py | voice_ai_agents/voice_rag_openaisdk/rag_voice.py | from typing import List, Dict, Optional, Tuple
import os
import tempfile
from datetime import datetime
import uuid
import asyncio
import streamlit as st
from dotenv import load_dotenv
from qdrant_client import QdrantClient
from qdrant_client.http import models
from qdrant_client.http.models import Distance, VectorPara... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/ai_audio_tour_agent/printer.py | voice_ai_agents/ai_audio_tour_agent/printer.py | from typing import Any
from rich.console import Console, Group
from rich.live import Live
from rich.spinner import Spinner
class Printer:
"""
Simple wrapper to stream status updates. Used by the financial bot
manager as it orchestrates planning, search and writing.
"""
def __init__(self, console... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/ai_audio_tour_agent/ai_audio_tour_agent.py | voice_ai_agents/ai_audio_tour_agent/ai_audio_tour_agent.py | import streamlit as st
import asyncio
from manager import TourManager
from agents import set_default_openai_key
import json
def tts(text):
from pathlib import Path
from openai import OpenAI
client = OpenAI()
speech_file_path = Path(__file__).parent / f"speech_tour.mp3"
response = client.a... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/ai_audio_tour_agent/agent.py | voice_ai_agents/ai_audio_tour_agent/agent.py | from pydantic import BaseModel
from agents import Agent, WebSearchTool
from agents.model_settings import ModelSettings
ARCHITECTURE_AGENT_INSTRUCTIONS = ("""
You are the Architecture agent for a self-guided audio tour system. Given a location and the areas of interest of user, your role is to:
1. Describe architectura... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/voice_ai_agents/ai_audio_tour_agent/manager.py | voice_ai_agents/ai_audio_tour_agent/manager.py | from __future__ import annotations
import asyncio
import time
import json
from collections.abc import Sequence
from rich.console import Console
from agents import Runner, RunResult, custom_span, gen_trace_id, trace
from agent import History, historical_agent
from agent import Culinary,culinary_agent
from agent impo... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Z4nzu/hackingtool | https://github.com/Z4nzu/hackingtool/blob/7df27d8383095257e05c9dfd5af3ea696039d793/core.py | core.py | from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from rich import box
from rich.traceback import install
from rich.theme import Theme
import os
import sys
import webbrowser
from platform import system
from traceback import print_exc
from typing import Callable, List, Tuple
# ... | python | MIT | 7df27d8383095257e05c9dfd5af3ea696039d793 | 2026-01-04T14:39:20.027553Z | false |
Z4nzu/hackingtool | https://github.com/Z4nzu/hackingtool/blob/7df27d8383095257e05c9dfd5af3ea696039d793/hackingtool.py | hackingtool.py | #!/usr/bin/env python3
# Version 1.1.0 (rich UI - purple theme)
import os
import sys
import webbrowser
from platform import system
from time import sleep
from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from rich.prompt import Prompt, IntPrompt, Confirm
from rich.align import ... | python | MIT | 7df27d8383095257e05c9dfd5af3ea696039d793 | 2026-01-04T14:39:20.027553Z | false |
Z4nzu/hackingtool | https://github.com/Z4nzu/hackingtool/blob/7df27d8383095257e05c9dfd5af3ea696039d793/install.py | install.py | #!/usr/bin/env python3
# install_hackingtool.py (rich-based installer UI)
import os
import sys
import shutil
import subprocess
from pathlib import Path
from rich.console import Console
from rich.panel import Panel
from rich.prompt import Prompt, Confirm, IntPrompt
from rich.table import Table
from rich.align import A... | python | MIT | 7df27d8383095257e05c9dfd5af3ea696039d793 | 2026-01-04T14:39:20.027553Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.