<jupyter_start><jupyter_text>Itinative API UsageSmarter trip planning using network analysis<jupyter_code>import itinative as itin
agent = itin.initialize(api_key="YOUR API KEY")
agent.generate()<jupyter_output>Looking for places ...
Looking up operating hours ...
Thinking about your itinerary ...
Looking for hotels ... 
Searching for top hotels ...
******************************** RECOMMENDED LODGING ******************
                                                      name  rating  user_ratings_total                            address
                                     Hyatt Regency Chicago     4.4                8873     151 East Wacker Drive, Chicago
   InterContinental Chicago Magnificent Mile, an IHG Hotel     4.4                3956 505 North Michigan Avenue, Chicago
                Chicago Marriott Downtown Magnificent Mile     4.3                2747       540 Michigan Avenue, Chicago
             theWit Chicago - a DoubleTree by Hilton Hotel     4.4                2654    201 North State Street, Chicago
                        Renaissance Chicago Downtown Hotel     4.5                2563       1 West Wacker Drive, Chicago
                Trump International Hotel & Tower® Chic[...]
{'fraction_non_alphanumeric': 0.08388157894736842, 'fraction_numerical': 0.03536184210526316, 'mean_word_length': 1.7225950782997763, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 3, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '615514', 'license': 'MIT', 'n_tokens_mistral': 307, 'n_tokens_neox': 269, 'n_words': 104, 'path': 'examples/Demo.ipynb', 'repo_name': 'geraparth/itinerary-planner', 'size': '1216'}