🦙 Dynamic Travel Planner | Powered by Dappier and LlamaIndex

This notebook demonstrates how to build a real-time, LLM-powered travel assistant by combining LlamaIndex with Dappier. It walks through creating a dynamic 2-day itinerary for New York City based on current news, weather conditions, and hotel availability. In this notebook, you’ll explore:

Dappier: A platform that connects LLMs and agentic AI agents to real-time, rights-cleared data from trusted sources. It delivers verified, prompt-ready information across domains like web search, finance, news, and more.
LlamaIndex: A data framework that allows seamless integration of external tools with LLMs. It enables structured workflows for tool use, reasoning, and response generation.
OpenAI: An advanced AI model provider used here to power the assistant’s reasoning, planning, and response generation.

This setup offers a practical example of building context-aware applications with real-time data access. It can be easily extended to other domains requiring live insights and AI-driven decision-making.

Watch the Video Guide

If you prefer a visual walkthrough, check out the accompanying video guide below:

Installation

To get started with the dynamic travel planner, install the required packages:

pip install llama-index llama-index-tools-dappier openai

Setup API Keys

To authenticate and use Dappier and OpenAI, you’ll need valid API keys. You can generate one for free from your Dappier API dashboard.

Python

import os
from getpass import getpass

# Prompt for the Dappier API key securely
dappier_api_key = getpass("Enter your Dappier API key: ")
os.environ["DAPPIER_API_KEY"] = dappier_api_key

You can obtain your OpenAI API key from the OpenAI API dashboard.

Python

# Prompt for the OpenAI API key securely
openai_api_key = getpass("Enter your OpenAI API key: ")
os.environ["OPENAI_API_KEY"] = openai_api_key

Dappier Real Time Search Tool

The DappierRealTimeSearchToolSpec enables LLMs to access real-time data across the web, including the latest news, weather updates, and financial information. This tool is ideal for applications requiring up-to-date, context-rich data.

Initialize the Tool

To utilize the real-time search tool, initialize it as follows:

Python

from llama_index.tools.dappier import DappierRealTimeSearchToolSpec

search_tool_spec = DappierRealTimeSearchToolSpec()

Real-Time Web Search

Retrieve current web content such as news or weather updates using the search_real_time_data method:

Python

response = search_tool_spec.search_real_time_data("What's the current weather in Central Park?")
print(response)

The current weather in Central Park is about 52°F (11°C). It’s a bit chilly, so you might want to grab a light jacket if you’re heading out! 🌳🍂

Stock Market Data

Access up-to-date financial insights or company-specific news with the search_stock_market_data method:

Python

response = search_tool_spec.search_stock_market_data("latest earnings report from Tesla")
print(response)

The latest earnings report from Tesla includes several articles published on October 31, 2023. Here are some highlights:

1. **Article Title:** [Tesla and Netflix. Talk About Hot Topics!](https://www.fool.com/investing/2023/10/31/tesla-and-netflix-talk-about-hot-topics/)
   - **Publisher:** The Motley Fool
   - **Published:** October 31, 2023
   - **Description:** Discusses various topics including challenges facing the National Association of Realtors.
   - **Image:** ![Image](https://g.foolcdn.com/editorial/images/752667/mfm_20231019.jpg)

2. **Article Title:** [Checking In on General Motors and Coca-Cola](https://www.fool.com/investing/2023/10/31/checking-in-on-general-motors-and-coca-cola/)
   - **Publisher:** The Motley Fool
   - **Published:** October 31, 2023
   - **Description:** Provides insights on various companies, including Tesla, along with tips for retirement planning.
   - **Image:** ![Image](https://g.foolcdn.com/editorial/images/752672/mfm_20231024.jpg)

3. **Article Title:** [Stocks Lack Direction As Traders Remain Cautious Ahead Of Fed Meeting, Nvidia Falls On Export Controls: What's Driving Markets Tuesday?](https://www.benzinga.com/news/earnings/23/10/35510696/u-s-stocks-poised-to-extend-gains-as-fed-meeting-gets-underway-why-this-analyst-expects-young-bull-)
   - **Publisher:** Benzinga
   - **Published:** October 31, 2023
   - **Description:** Discusses market conditions and includes Tesla among other stocks.
   - **Image:** ![Image](https://cdn.benzinga.com/files/images/story/2023/Wall_Street_15.jpeg?width=1200&height=800&fit=crop)

4. **Article Title:** [Why a 7% 10-year Treasury yield is still possible](https://www.marketwatch.com/story/why-a-7-10-year-treasury-yield-is-still-possible-d5c2b961)
   - **Publisher:** MarketWatch
   - **Published:** October 31, 2023
   - **Description:** Analyzes potential future trends in treasury yields, mentioning Tesla among other companies.
   - **Image:** ![Image](https://images.mktw.net/im-878753/social)

5. **Article Title:** [Munster Weighs In On Reports Of Unionization Move At Tesla: 'Employees Will Likely Vote Down The UAW And Instead Settle For...'](https://www.benzinga.com/analyst-ratings/analyst-color/23/10/35519602/munster-weighs-in-on-reports-of-unionization-move-at-tesla-employees-will-likely-vo)
   - **Publisher:** Benzinga
   - **Published:** October 31, 2023
   - **Description:** Discusses the potential impact of unionization efforts at Tesla.
   - **Image:** ![Image](https://cdn.benzinga.com/files/images/story/2023/Tesla_46.jpeg?width=1200&height=800&fit=crop)

These articles provide insights into Tesla's current market position and challenges as of the latest reporting date.

Build a Dynamic Travel Planner Agent

Now that your API keys are set and packages are installed, you’re ready to build the dynamic travel planner. Start by importing the required modules:

Python

import asyncio
from llama_index.llms.openai import OpenAI
from llama_index.tools.dappier import DappierRealTimeSearchToolSpec
from llama_index.core.agent.workflow import AgentWorkflow
from llama_index.core.agent.workflow import AgentStream, ToolCallResult

Initialize the OpenAI model that will power the agent:

Python

llm = OpenAI(model="gpt-4o")

Next, set up the Dappier real-time search tool. This tool allows the agent to query live data like news, weather, and financial updates:

Python

search_tool_spec = DappierRealTimeSearchToolSpec()
tools = search_tool_spec.to_tool_list()

Now define the agent workflow. This is where the agent’s purpose and reasoning behavior are configured. In this case, the agent acts as a smart travel assistant for New York City:

Python

workflow = AgentWorkflow.from_tools_or_functions(
    tools,
    llm=llm,
    system_prompt="""
    You are a smart travel assistant that:
    - Retrieves real-time news, weather, and hotel data for NYC
    - Uses that data to plan a 2-day NYC itinerary
    - Always includes the news up front and weather conditions in the itinerary
    """,
)

Define the user prompt that will be passed to the agent. This describes exactly what we want it to do:

Python

user_prompt = """
Generate a 2-day travel itinerary for New York City, tailored to real-time weather and current news. Follow these steps:

1. Fetch Current News:
Retrieve the latest news in New York City to include relevant events or updates.

2. Fetch Weather Data:
Retrieve the weather forecast for the upcoming weekend dates.

3. Fetch Hotel Deals:
Retrieve the cheapest hotel deals in NYC.

4. Design the Itinerary:
Use both news and weather insights to create a dynamic itinerary. Include news in the beginning of the itinerary and include weather for each day in the itinerary.
"""

To stream the results from the agent and display both tool interactions and the generated itinerary, run the following:

Python

async def run_dynamic_travel_planner():
    handler = workflow.run(user_msg=user_prompt)

    seen_agent_output = False

    async for event in handler.stream_events():
        if isinstance(event, AgentStream):
            if not seen_agent_output:
                print("[🧠 Agent]:", end="", flush=True)
                seen_agent_output = True
            print(event.delta, end="", flush=True)
        elif isinstance(event, ToolCallResult):
            seen_agent_output = False
            print(f"\n\n🔧 Tool Used: {event.tool_name}")
            print(f"➡️  Input Args: {event.tool_kwargs}")
            print(f"✅ Output: {event.tool_output}\n")

Finally, launch the planner:

Python

await run_dynamic_travel_planner()

[🧠 Agent]:

🔧 Tool Used: search_real_time_data
➡️  Input Args: {'query': 'New York City weather forecast for the upcoming weekend'}
✅ Output: This weekend in New York City, expect highs around 63°F (17°C). There’s a bit of a chance of rain, about 70%, so you might want to keep an umbrella handy just in case! Winds will be coming from the northwest at 5 to 10 mph. Perfect weather for a cozy day indoors or a light stroll if the rain holds off! ☔️🌤️



🔧 Tool Used: search_real_time_data
➡️  Input Args: {'query': 'cheapest hotel deals in New York City'}
✅ Output: Here are some of the cheapest hotel deals in New York City right now:

1. **HI New York City Hostel**
   - **Price**: Starting around $50 per night
   - **Description**: A budget-friendly hostel located on the Upper West Side, great for travelers looking to meet new people.

2. **Pod 51 Hotel**
   - **Price**: Starting around $100 per night
   - **Description**: A modern hotel with compact rooms, located in Midtown East. It's a great option for those who want to be close to the action.

3. **The Jane Hotel**
   - **Price**: Starting around $120 per night
   - **Description**: A quirky hotel in the West Village that offers small, cabin-like rooms. It has a vintage vibe and is close to the Hudson River.

4. **Moxy NYC Times Square**
   - **Price**: Starting around $150 per night
   - **Description**: A trendy hotel with a lively atmosphere, located near Times Square. It features stylish rooms and a rooftop bar.

5. **The Bowery House**
   - **Price**: Starting around $70 per night
   - **Description**: A budget option in Nolita with a vintage feel. Shared bathrooms are available, making it a great choice for solo travelers.

Prices can vary based on dates and availability, so it’s a good idea to book early! 🏨✨



🔧 Tool Used: search_real_time_data
➡️  Input Args: {'query': 'latest news in New York City'}
✅ Output: Here’s what’s buzzing in New York City right now:

1. **MTA Unveils New Subway Map**
   The MTA has released its first new subway map in over 45 years! Check out the details [here](https://abc7ny.com/post/nyc-subway-map-mta-unveils-first-new-diagram-45-years/16119274/).
   ![Subway Map](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSpGJgaqDNgsriA_mSX6RdzzUm_G22d__zWzpCj8bDbtGmVQn6S0-7j4_Wzrw&s)

2. **Trump's Casino Deal Potential**
   A high-stakes contest for a new casino in NYC could mean a $115 million payday for Donald Trump. More info [here](https://apnews.com/article/trump-casino-new-york-252cc3bafd1b097adf7a8afd516f1859).
   ![Trump Casino](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT_K2Lv-xPaCWJHenlkS-uL6Md3mFttyyrTVouQP50VBrMhtlBsBRoGUDL78Q&s)

3. **Corruption Case Against Mayor Adams Dismissed**
   A judge has thrown out the corruption case against NYC Mayor Eric Adams, ruling it couldn't be revived. Read more [here](https://www.aljazeera.com/news/2025/4/2/us-judge-throws-out-corruption-case-against-nyc-mayor-eric-adams).
   ![Mayor Adams](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR8qBYeTY4SFv5-VQfscJj38nBvb4UZ5OFPvptIMKAkAypSflgZPl4vRMsEiQ&s)

4. **Knicks vs. Cavaliers Game**
   The Knicks faced off against the Cavaliers on April 2, 2025. Check out the box scores [here](https://www.nba.com/game/nyk-vs-cle-0022401103/box-score).
   ![Knicks Game](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTs-QYIKccK6Bbpj59nHlV6EvYQw7NlbBiE-YwSrGr_MSPgIT1qB1DV0mRzcA&s)

5. **Indonesian Food Bazaar in Queens**
   Indonesian residents in Queens are celebrating their culture with a monthly food bazaar. Delicious details [here](https://www.npr.org/2025/04/02/nx-s1-5319313/indonesian-residents-in-new-york-hold-monthly-food-bazaar-to-celebrate-their-culture).

There’s always something happening in the city that never sleeps! 🗽✨

[🧠 Agent]:Here's a 2-day itinerary for your upcoming weekend trip to New York City, incorporating the latest news, weather, and hotel deals:

### Latest News in NYC:
1. **MTA Unveils New Subway Map**: The MTA has released its first new subway map in over 45 years. This could be a great opportunity to explore the city using the updated transit system.
2. **Indonesian Food Bazaar in Queens**: Experience a cultural delight with the monthly Indonesian food bazaar in Queens.
3. **Knicks vs. Cavaliers Game**: If you're a basketball fan, catch up on the latest Knicks game highlights.

### Weather Forecast:
- **Highs**: Around 63°F (17°C)
- **Chance of Rain**: 70%
- **Winds**: Northwest at 5 to 10 mph

### Hotel Deals:
- **HI New York City Hostel**: Starting at $50 per night, located on the Upper West Side.
- **Pod 51 Hotel**: Starting at $100 per night, located in Midtown East.
- **The Jane Hotel**: Starting at $120 per night, located in the West Village.

### Day 1: Exploring Midtown and Cultural Experiences
- **Morning**:
  - Start your day with a visit to the **MTA's new subway map** exhibit and explore the city using the updated transit system.
  - Head to **Pod 51 Hotel** for a quick check-in if you choose this accommodation.

- **Afternoon**:
  - Visit the **Museum of Modern Art (MoMA)** to enjoy some world-class art.
  - Grab lunch at a nearby café.

- **Evening**:
  - Attend the **Indonesian Food Bazaar** in Queens for a unique dining experience.
  - Return to your hotel for a restful night.

### Day 2: Downtown Adventures and Relaxation
- **Morning**:
  - Enjoy a leisurely breakfast at a local diner.
  - Explore the **West Village** and check out the quirky **Jane Hotel** if you’re staying there.

- **Afternoon**:
  - Visit the **9/11 Memorial & Museum** for a poignant experience.
  - Have lunch at a nearby restaurant.

- **Evening**:
  - If you're a sports fan, catch up on the **Knicks vs. Cavaliers** game highlights.
  - Enjoy dinner at a rooftop bar, such as the one at **Moxy NYC Times Square**.

### Tips:
- Keep an umbrella handy due to the chance of rain.
- Book your hotel early to secure the best rates.
- Use the new subway map to navigate the city efficiently.

Enjoy your weekend in the vibrant city of New York! 🌆🗽

Conclusion

This notebook has guided you how to build a real-time, LLM-powered travel assistant by combining LlamaIndex with Dappier. It walks through creating a dynamic 2-day itinerary for New York City based on current news, weather conditions, and hotel availability. In this notebook, explored:

Dappier: A platform that connects LLMs and agentic AI agents to real-time, rights-cleared data from trusted sources. It delivers verified, prompt-ready information across domains like web search, finance, news, and more.
LlamaIndex: A data framework that allows seamless integration of external tools with LLMs. It enables structured workflows for tool use, reasoning, and response generation.
OpenAI: An advanced AI model provider used here to power the assistant’s reasoning, planning, and response generation.

​Watch the Video Guide

​Installation

​Setup API Keys

​Dappier Real Time Search Tool

​Initialize the Tool

​Real-Time Web Search

​Stock Market Data

​Build a Dynamic Travel Planner Agent

​Conclusion

Watch the Video Guide

Installation

Setup API Keys

Dappier Real Time Search Tool

Initialize the Tool

Real-Time Web Search

Stock Market Data

Build a Dynamic Travel Planner Agent

Conclusion