Crawler Summary

trip-planner answer-first brief

trip planning using crewai ✈️ AI Trip Planner using CrewAI An AI-powered multi-agent travel planning application that generates personalized travel itineraries by combining flight information, nearby hotel recommendations, and tourist attractions. The application leverages **CrewAI** to orchestrate AI agents that gather travel information from multiple sources and generate an optimized travel itinerary using **Groq Llama 3.3 70B**. 🚀 Features Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

trip-planner is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

trip-planner

trip planning using crewai ✈️ AI Trip Planner using CrewAI An AI-powered multi-agent travel planning application that generates personalized travel itineraries by combining flight information, nearby hotel recommendations, and tourist attractions. The application leverages **CrewAI** to orchestrate AI agents that gather travel information from multiple sources and generate an optimized travel itinerary using **Groq Llama 3.3 70B**. 🚀 Features

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Rjmblc

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Rjmblc

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

User
                  │
                  ▼
          Streamlit Frontend
                  │
                  ▼
          CrewAI Multi-Agent System
                  │
      ┌───────────┴────────────┐
      │                        │
      ▼                        ▼
Travel Analysis Agent     Trip Planner Agent
      │                        │
      └───────────┬────────────┘
                  │
                  ▼
          Travel Search Tools
                  │
     ┌────────────┼────────────┐
     │            │            │
     ▼            ▼            ▼
 Flight API   Google Places   Google Nearby Search
                  │
                  ▼
           AI Generated Itinerary

text

trip-planner/
│
├── agent/
│   ├── analyse_agent.py
│   └── trip_planner_agent.py
│
├── tasks/
│   ├── analyse_task.py
│   └── trip_planner_task.py
│
├── tools/
│   ├── search_flights.py
│   ├── search_place.py
│   ├── search_hotels.py
│   └── search_tourist_places.py
│
├── crew.py
├── main.py
├── app.py
├── requirements.txt
└── README.md

bash

git clone https://github.com/rjmblc/trip-planner.git

bash

cd trip-planner

bash

python -m venv .venv

bash

.venv\Scripts\activate

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

trip planning using crewai ✈️ AI Trip Planner using CrewAI An AI-powered multi-agent travel planning application that generates personalized travel itineraries by combining flight information, nearby hotel recommendations, and tourist attractions. The application leverages **CrewAI** to orchestrate AI agents that gather travel information from multiple sources and generate an optimized travel itinerary using **Groq Llama 3.3 70B**. 🚀 Features

Full README

✈️ AI Trip Planner using CrewAI

An AI-powered multi-agent travel planning application that generates personalized travel itineraries by combining flight information, nearby hotel recommendations, and tourist attractions.

The application leverages CrewAI to orchestrate AI agents that gather travel information from multiple sources and generate an optimized travel itinerary using Groq Llama 3.3 70B.

🚀 Features

  • ✈️ Search available flights between departure and destination airports
  • 📍 Retrieve airport details using Google Places API
  • 🏨 Recommend nearby hotels
  • 🌍 Discover popular tourist attractions around the destination
  • 🤖 Multi-agent workflow using CrewAI
  • 📝 Generate an AI-powered personalized travel itinerary
  • 💻 Streamlit-based user interface

🏗️ Architecture

                User
                  │
                  ▼
          Streamlit Frontend
                  │
                  ▼
          CrewAI Multi-Agent System
                  │
      ┌───────────┴────────────┐
      │                        │
      ▼                        ▼
Travel Analysis Agent     Trip Planner Agent
      │                        │
      └───────────┬────────────┘
                  │
                  ▼
          Travel Search Tools
                  │
     ┌────────────┼────────────┐
     │            │            │
     ▼            ▼            ▼
 Flight API   Google Places   Google Nearby Search
                  │
                  ▼
           AI Generated Itinerary

🧠 AI Agents

Travel Analysis Agent

Responsible for:

  • Searching available flights
  • Retrieving airport details
  • Finding nearby hotels
  • Discovering tourist attractions
  • Producing a structured travel analysis

Trip Planner Agent

Responsible for:

  • Analyzing travel information
  • Selecting the best flight
  • Recommending suitable accommodation
  • Planning sightseeing
  • Generating a complete travel itinerary

🛠️ Tools

The application consists of reusable AI tools:

  • Flight Search Tool
  • Airport Search Tool
  • Hotel Search Tool
  • Tourist Attractions Search Tool

📦 Tech Stack

  • Python 3.11
  • CrewAI
  • Groq (Llama 3.3 70B)
  • Streamlit
  • Google Places API
  • Google Nearby Search API
  • AviationStack API
  • Requests
  • Python Dotenv

📂 Project Structure

trip-planner/
│
├── agent/
│   ├── analyse_agent.py
│   └── trip_planner_agent.py
│
├── tasks/
│   ├── analyse_task.py
│   └── trip_planner_task.py
│
├── tools/
│   ├── search_flights.py
│   ├── search_place.py
│   ├── search_hotels.py
│   └── search_tourist_places.py
│
├── crew.py
├── main.py
├── app.py
├── requirements.txt
└── README.md

⚙️ Installation

Clone the repository

git clone https://github.com/rjmblc/trip-planner.git

Navigate to the project

cd trip-planner

Create a virtual environment

python -m venv .venv

Activate the virtual environment

Windows

.venv\Scripts\activate

Linux / macOS

source .venv/bin/activate

Install dependencies

pip install -r requirements.txt

🔑 Environment Variables

Create a .env file in the project root.

GROQ_API_KEY=your_groq_api_key

SEARCH_FLIGHTS_BASE_URL=https://api.aviationstack.com/v1/flights
GOOGLE_PLACES_BASE_URL=https://places.googleapis.com/v1/places:searchText
GOOGLE_HOTELS_BASE_URL=https://places.googleapis.com/v1/places:searchNearby
GOOGLE_TOURIST_PLACES_BASE_URL=https://places.googleapis.com/v1/places:searchText

access_key=your_aviationstack_key
X-Goog-Api-Key=your_google_places_key

▶️ Run the Application

Run the Streamlit frontend

streamlit run app.py

📸 Screenshots

Home Page

alt text

Generated Travel Itinerary

alt text

🎯 Learning Outcomes

This project demonstrates:

  • Multi-Agent AI Systems
  • Tool Calling
  • Prompt Engineering
  • LLM Orchestration
  • API Integration
  • AI-powered Travel Planning
  • Python Application Development
  • Streamlit Frontend Development

👨‍💻 Author

Rajmohan B

GitHub: https://github.com/rjmblc

LinkedIn: https://www.linkedin.com/in/rajmohan-balachandran-29199a45/

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:49:39.229Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Rjmblc",
    "href": "https://github.com/rjmblc/trip-planner",
    "sourceUrl": "https://github.com/rjmblc/trip-planner",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:10.771Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:10.771Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-rjmblc-trip-planner/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to trip-planner and adjacent AI workflows.