├── .gitignore ├── main.py ├── poetry.lock └── pyproject.toml /.gitignore: -------------------------------------------------------------------------------- 1 | .env 2 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | from textwrap import dedent 2 | from bs4 import BeautifulSoup 3 | from crewai import Agent, Task, Crew, Process 4 | from langchain_community.tools import DuckDuckGoSearchRun 5 | from langchain.agents import load_tools 6 | from langchain.tools import tool 7 | from crewai.tasks.task_output import TaskOutput 8 | from langchain_openai import ChatOpenAI 9 | 10 | from dotenv import load_dotenv 11 | import requests 12 | load_dotenv() 13 | 14 | OpenAIGPT4 = ChatOpenAI( 15 | model="gpt-4" 16 | ) 17 | 18 | search_tool = DuckDuckGoSearchRun() 19 | 20 | # Loading Human Tools 21 | human_tools = load_tools(["human"]) 22 | 23 | # Inputs 24 | origin = "Atlanta, GA" 25 | travel_dates = "November 2024" 26 | destination = "Thialand" 27 | interests = "Hiking, Yoga, Sightseeing" 28 | 29 | 30 | class ContentTools: 31 | @tool("Read webpage content") 32 | def read_content(url: str) -> str: 33 | """Read content from a webpage.""" 34 | response = requests.get(url) 35 | soup = BeautifulSoup(response.content, 'html.parser') 36 | text_content = soup.get_text() 37 | return text_content[:5000] 38 | 39 | 40 | class CalculatorTools(): 41 | @tool("Make a calculation") 42 | def calculate(operation): 43 | """Useful to perform any mathematical calculations, 44 | like sum, minus, multiplication, division, etc. 45 | The input to this tool should be a mathematical 46 | expression, a couple examples are `200*7` or `5000/2*10` 47 | """ 48 | try: 49 | return eval(operation) 50 | except SyntaxError: 51 | return "Error: Invalid syntax in mathematical expression" 52 | 53 | 54 | # ------ AGENTS ------ 55 | manager = Agent( 56 | role='Travel Manager', 57 | goal=dedent(f"""Coordinate the trip to {destination} ensure a seamless integration of research findings into 58 | a comprehensive travel report with daily activities, budget breakdown, 59 | and packing suggestions."""), 60 | backstory="""With a strategic mindset and a knack for leadership, you excel 61 | at guiding teams towardstheir goals, ensuring the trip not only meets but exceed 62 | expectations. You also validate your final output before presenting it to the client.""", 63 | verbose=True, 64 | allow_delegation=True, 65 | ) 66 | 67 | travel_agent = Agent( 68 | role='Travel Agent', 69 | goal="""Create the most amazing travel itineraries with budget and 70 | packing suggestions for your clients to travel to {destination}.""", 71 | verbose=True, 72 | backstory="""Specialist in travel planning and logistics with 73 | decades of experience""", 74 | tools=[CalculatorTools().calculate], 75 | max_iter=7 76 | ) 77 | 78 | city_selection_expert = Agent( 79 | role='City Selection Expert', 80 | goal='Select the best city based on weather, season, and prices', 81 | verbose=True, 82 | backstory="""An expert in analyzing travel data to pick ideal destinations""", 83 | tools=[search_tool, ContentTools().read_content], 84 | ) 85 | 86 | local_tour_guide = Agent( 87 | role='Local Expert at this city', 88 | goal='Provide the BEST insights about the selected city', 89 | verbose=True, 90 | backstory="""A knowledgeable local guide with extensive information 91 | about the city, it's attractions and customs""", 92 | tools=[search_tool, ContentTools().read_content], 93 | ) 94 | 95 | quality_control_expert = Agent( 96 | role='Quality Control Expert', 97 | goal="""Ensure every travel itinerary and report meets the highest 98 | standards of quality, accuracy, and client satisfaction. 99 | Review travel plans for logistical feasibility, budget adherence, 100 | and overall quality, making necessary adjustments to elevate 101 | the client's experience. Act as the final checkpoint before plans are 102 | presented to the client, ensuring all details align with the agency's 103 | reputation for excellence.""", 104 | verbose=True, 105 | backstory="""With a meticulous eye for detail and a passion for excellence, 106 | you have built a career in ensuring the highest standards in travel 107 | planning and execution. Your experience spans several years within the 108 | travel industry, where you have honed your skills in quality assurance, 109 | client service, and problem-solving. Known for your critical eye and 110 | commitment to excellence, you ensure that no detail, no matter 111 | how small, is overlooked. Your expertise not only lies in identifying 112 | areas for improvement but also in implementing solutions that enhance 113 | the overall client experience. Your role as a quality control expert 114 | is the culmination of your dedication to elevating travel experiences 115 | through precision, reliability, and client satisfaction.""", 116 | tools=[]+human_tools, 117 | ) 118 | 119 | # ------ TASKS ------ 120 | manager_task = Task( 121 | description=dedent(f""" 122 | Oversee the integration of research findings, trip suggestions, 123 | and quality control feedback to produce a 7-day travel itinerary 124 | specifically tailored to the user's interests: {interests} and 125 | their travel destination: {destination}. The final output should be 126 | a comprehensive with detailed per-day plans, including budget, 127 | packing suggestions."""), 128 | agent=manager, 129 | async_execution=False 130 | ) 131 | 132 | identify_city = Task( 133 | description=dedent(f""" 134 | Analyze and select the best city for the trip based 135 | on specific criteria such as weather patterns, seasonal 136 | events, and travel costs. This task involves comparing 137 | multiple cities, considering factors like current weather 138 | conditions, upcoming cultural or seasonal events, and 139 | overall travel expenses. 140 | 141 | Make sure you stay inside the country that the user requests. 142 | 143 | Your final answer must be a detailed 144 | report on the chosen city, and everything you found out 145 | about it, including the actual flight costs, weather 146 | forecast and attractions. 147 | 148 | Traveling from: {origin} 149 | Traveling to: {destination} 150 | Trip Date: {travel_dates} 151 | Traveler Interests: {interests} 152 | """), 153 | agent=city_selection_expert, 154 | expected_output=dedent(""" 155 | A detailed report on the selected city including: 156 | - Justification for city selection based on weather, seasonal events, and prices 157 | - Overview of flight costs, weather forecast, and main attractions 158 | - Analysis comparing multiple cities and why the chosen city is best for the trip 159 | """), 160 | async_execution=False 161 | ) 162 | 163 | gather_city_info = Task( 164 | description=dedent(f""" 165 | As a local expert on this city you must compile an 166 | in-depth guide for someone traveling there and wanting 167 | to have THE BEST trip ever! 168 | Gather information about key attractions, local customs, 169 | special events, and daily activity recommendations. 170 | Find the best spots to go to, the kind of place only a 171 | local would know. 172 | This guide should provide a thorough overview of what 173 | the city has to offer, including hidden gems, cultural 174 | hotspots, must-visit landmarks, weather forecasts, and 175 | high level costs. 176 | 177 | Make sure you only offer suggestions inside of the country. 178 | 179 | The final answer must be a comprehensive city guide, 180 | rich in cultural insights and practical tips, 181 | tailored to enhance the travel experience. 182 | 183 | Trip Date: {travel_dates} 184 | Traveling to: {destination} 185 | Traveler Interests: {interests} 186 | """), 187 | agent=city_selection_expert, 188 | expected_output=dedent(""" 189 | An in-depth city guide featuring: 190 | - Key attractions and local customs 191 | - Special events happening around the trip dates 192 | - Recommendations for daily activities including hidden gems and cultural hotspots 193 | - Weather forecast for the trip dates with appropriate clothing suggestions 194 | - High-level cost estimates for suggested activities and spots 195 | """), 196 | async_execution=False 197 | 198 | ) 199 | 200 | plan_itinerary = Task( 201 | description=dedent(f""" 202 | Expand research into a a full 7-day travel 203 | itinerary with detailed per-day plans, including 204 | weather forecasts, places to eat, packing suggestions, 205 | and a budget breakdown. 206 | 207 | Make sure that you only offer suggestions inside of the 208 | country that the user requests. 209 | 210 | You MUST suggest actual places to visit, actual hotels 211 | to stay and actual restaurants to go to. 212 | 213 | This itinerary should cover all aspects of the trip, 214 | from arrival to departure, integrating the city guide 215 | information with practical travel logistics. 216 | 217 | Your final answer MUST be a complete expanded travel plan, 218 | formatted as markdown, encompassing a daily schedule, 219 | anticipated weather conditions, recommended clothing and 220 | items to pack, and a detailed budget, ensuring THE BEST 221 | TRIP EVER, Be specific and give it a reason why you picked 222 | # up each place, what make them special! 223 | 224 | Trip Date: {travel_dates} 225 | Traveling from: {origin} 226 | Traveling to: {destination} 227 | Traveler Interests: {interests} 228 | """), 229 | agent=travel_agent, 230 | expected_output=dedent(f""" 231 | A complete 7-day travel itinerary in markdown format to {destination} 232 | """), 233 | async_execution=False, 234 | ) 235 | 236 | quality_control = Task( 237 | description=dedent(f""" 238 | Look over the 7-day travel itinerary and provide feedback 239 | on the quality of the plan and to make sure that the 240 | itinerary follows the same format as the following 7 day 241 | example where you outline what the traveler will do in the 242 | morning, afternoon, and evening along with optional opportunities. 243 | Obviously the exact information will differ for each trip, 244 | but the format should be the same. 245 | 246 | Your feedback should only include suggestions around formatting 247 | and making sure the itenerary includes all of the necessary 248 | information to generate the following itinerary. If the itinerary 249 | is missing any information, you should provide feedback on what is 250 | missing and how it can be improved. 251 | 252 | If the itinerary includes any information that is not necessary, 253 | provide feedback on what needs to be removed and why. 254 | 255 | 256 | EXAMPLE 7 DAY ITNERARY: 257 | 258 | **Day 1: Arrival in Bangkok** 259 | - Arrival at Suvarnabhumi Airport, transfer to Nasa Vegas Hotel. 260 | - Lunch at a local restaurant. 261 | - Visit the Grand Palace and Wat Phra Kaew ($10). 262 | - Dinner at Thip Samai Pad Thai. 263 | - Drinks at Sky Bar. 264 | 265 | **Day 2: Bangkok** 266 | - Breakfast at the hotel. 267 | - Visit Wat Arun ($3) and explore the local market. 268 | - Lunch at Or Tor Kor Market. 269 | - Evening visit to Asiatique The Riverfront. 270 | - Dinner at Jok Pochana. 271 | - Nightlife at RCA (Royal City Avenue). 272 | 273 | **Day 3: Bangkok to Krabi** 274 | - Breakfast at the hotel and check out. 275 | - Flight to Krabi ($100) and check-in at Sea Seeker Krabi Resort. 276 | - Visit to Krabi Town and local markets. 277 | - Dinner at Chalita Cafe & Restaurant. 278 | - Nightlife at Ao Nang Center Point. 279 | 280 | **Day 4: Krabi** 281 | - Breakfast at the hotel. 282 | - Full-day tour of the Four Islands (Phra Nang Cave Beach, Chicken Island, Tup Island, and Poda Island) ($20). 283 | - Lunch on the tour. 284 | - Return to the resort. 285 | - Dinner at Jenna's Bistro & Wine. 286 | - Nightlife at Boogie Bar. 287 | 288 | **Day 5: Krabi** 289 | - Breakfast at the hotel. 290 | - Hike to the Tiger Cave Temple. 291 | - Lunch at Krua Thara Seafood Restaurant. 292 | - Visit to Emerald Pool and Hot Springs ($10). 293 | - Dinner at Nong Bua Seafood. 294 | - Nightlife at Carlito's Bar. 295 | 296 | **Day 6: Krabi to Bangkok** 297 | - Breakfast at the hotel and check out. 298 | - Flight back to Bangkok ($100) and check-in at Nasa Vegas Hotel. 299 | - Visit Chatuchak Weekend Market. 300 | - Dinner at Som Tam Nua. 301 | - Nightlife at Soi Cowboy. 302 | 303 | **Day 7: Bangkok** 304 | - Breakfast at the hotel. 305 | - Visit to the Floating Market. 306 | - Lunch at Pier 21 Food Terminal. 307 | - Participate in the Loy Krathong Festival. 308 | - Farewell dinner at Sirocco & Sky Bar. 309 | 310 | **Budget Breakdown:** 311 | - Accommodation: $490 (7 nights at $70/night) 312 | - Meals: $210 (21 meals at $10/meal) 313 | - Public Transportation: $210 (7 days at $30/day) 314 | - Flights (Bangkok to Krabi round-trip): $200 315 | - Activities: $200 316 | - Total: $1310 317 | 318 | **Packing Suggestions:** 319 | - Lightweight clothing due to warm weather 320 | - Rain jacket or umbrella for unexpected showers 321 | - Swimwear for beach activities 322 | - Hiking shoes for treks 323 | - Formal attire for nightlife 324 | 325 | """), 326 | agent=quality_control_expert, 327 | context=[plan_itinerary], 328 | expected_output=dedent(""" 329 | Actionable feedback on the 7-day travel itinerary with 330 | assessment of the itinerary's adherence to the format and quality standards 331 | """), 332 | async_execution=False 333 | ) 334 | 335 | 336 | # Forming the crew with a hierarchical process including the manager 337 | crew = Crew( 338 | agents=[ 339 | manager, 340 | travel_agent, 341 | city_selection_expert, 342 | local_tour_guide, 343 | quality_control_expert], 344 | tasks=[manager_task, 345 | plan_itinerary, 346 | identify_city, 347 | gather_city_info, 348 | quality_control], 349 | process=Process.hierarchical, 350 | manager_llm=OpenAIGPT4, 351 | verbose=2, 352 | 353 | ) 354 | 355 | # Kick off the crew's work 356 | results = crew.kickoff() 357 | 358 | # Print the results 359 | print("Crew Work Results:") 360 | print(results) 361 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 2 | 3 | [[package]] 4 | 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-------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "trip-planner-2" 3 | version = "0.1.0" 4 | description = "Simple AI trip planner" 5 | authors = ["Joao Moura, Brandon Hancock"] 6 | 7 | [tool.poetry.dependencies] 8 | python = ">=3.10.0,<3.12" 9 | crewai = "^0.11.0" 10 | duckduckgo-search = "^4.4.2" 11 | python-dotenv = "^1.0.1" 12 | requests = "^2.31.0" 13 | beautifulsoup4 = "^4.12.3" 14 | 15 | [tool.pyright] 16 | # https://github.com/microsoft/pyright/blob/main/docs/configuration.md 17 | useLibraryCodeForTypes = true 18 | exclude = [".cache"] 19 | 20 | [tool.ruff] 21 | # https://beta.ruff.rs/docs/configuration/ 22 | select = ['E', 'W', 'F', 'I', 'B', 'C4', 'ARG', 'SIM'] 23 | ignore = ['W291', 'W292', 'W293'] 24 | 25 | [build-system] 26 | requires = ["poetry-core>=1.0.0"] 27 | build-backend = "poetry.core.masonry.api" --------------------------------------------------------------------------------