Xpersona

Crawler Summary

AI-Trip-Planner-using-CrewAI answer-first brief

AI-powered travel planner using autonomous CrewAI agents with a Streamlit web interface AI Trip Planner Autonomous AI travel planning with a full web interface, powered by CrewAI and GPT-4 $1 $1 $1 $1 $1 AI Trip Planner orchestrates three specialized AI agents to research destinations, compile local insider guides, and generate complete day-by-day travel itineraries. Enter your travel preferences and receive a fully personalized plan with hotel picks, restaurant recommendations, a packing list, and a de Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

AI-Trip-Planner-using-CrewAI 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

AI-Trip-Planner-using-CrewAI

AI-powered travel planner using autonomous CrewAI agents with a Streamlit web interface AI Trip Planner Autonomous AI travel planning with a full web interface, powered by CrewAI and GPT-4 $1 $1 $1 $1 $1 AI Trip Planner orchestrates three specialized AI agents to research destinations, compile local insider guides, and generate complete day-by-day travel itineraries. Enter your travel preferences and receive a fully personalized plan with hotel picks, restaurant recommendations, a packing list, and a de

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Punyamodi

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Unpublished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 4/15/2026.

View Source

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

Punyamodi

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

mermaid

flowchart TD
    A[User Input] --> B[City Selection Agent]
    B -->|Serper Search| C[Destination Analysis Report]
    C --> D[Local Expert Agent]
    D -->|Serper Search| E[City Insider Guide]
    E --> F[Travel Concierge Agent]
    F -->|Serper Search| G[Live Research]
    F -->|Calculator| H[Budget Math]
    G & H --> I[Complete Day-by-Day Itinerary]

text

.
├── src/
│   ├── agents.py          # Three specialized CrewAI agents
│   ├── tasks.py           # Task definitions with expected outputs
│   ├── crew.py            # TripCrew orchestrator
│   └── tools/
│       ├── search.py      # Serper web search tool
│       └── calculator.py  # Safe arithmetic evaluation tool
├── app.py                 # Streamlit web interface
├── cli.py                 # Command-line interface
├── .env.example           # Environment variable template
└── requirements.txt

bash

git clone https://github.com/punyamodi/AI-Trip-Planner-using-CrewAI.git
cd AI-Trip-Planner-using-CrewAI

python -m venv venv
# Windows
venv\Scripts\activate
# macOS / Linux
source venv/bin/activate

pip install -r requirements.txt

bash

cp .env.example .env

env

OPENAI_API_KEY=your_openai_api_key
SERPER_API_KEY=your_serper_api_key
OPENAI_MODEL=gpt-4o-mini

bash

streamlit run app.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

AI-powered travel planner using autonomous CrewAI agents with a Streamlit web interface AI Trip Planner Autonomous AI travel planning with a full web interface, powered by CrewAI and GPT-4 $1 $1 $1 $1 $1 AI Trip Planner orchestrates three specialized AI agents to research destinations, compile local insider guides, and generate complete day-by-day travel itineraries. Enter your travel preferences and receive a fully personalized plan with hotel picks, restaurant recommendations, a packing list, and a de

Full README

AI Trip Planner

Autonomous AI travel planning with a full web interface, powered by CrewAI and GPT-4

Python CrewAI Streamlit OpenAI License: MIT

AI Trip Planner orchestrates three specialized AI agents to research destinations, compile local insider guides, and generate complete day-by-day travel itineraries. Enter your travel preferences and receive a fully personalized plan with hotel picks, restaurant recommendations, a packing list, and a detailed budget breakdown.

Screenshots

| Landing Page | Form Filled | |:---:|:---:| | Landing page | Form filled |

| Results View | Day-by-Day Itinerary | |:---:|:---:| | Results | Itinerary |

Features

| Feature | Description | |---------|-------------| | Multi-agent planning | City Selector, Local Expert, and Travel Concierge collaborate sequentially | | Real-time web search | Agents query live travel data, prices, and events via Serper API | | Budget-aware itineraries | Tailored plans for Budget, Mid-range, and Luxury travelers | | Group travel support | Adjusts costs and recommendations for any number of travelers | | Streamlit web UI | Clean browser-based interface with sidebar API configuration | | CLI mode | Full command-line interface for terminal users | | Downloadable plans | Export your itinerary as a Markdown file |

Architecture

flowchart TD
    A[User Input] --> B[City Selection Agent]
    B -->|Serper Search| C[Destination Analysis Report]
    C --> D[Local Expert Agent]
    D -->|Serper Search| E[City Insider Guide]
    E --> F[Travel Concierge Agent]
    F -->|Serper Search| G[Live Research]
    F -->|Calculator| H[Budget Math]
    G & H --> I[Complete Day-by-Day Itinerary]

Project Structure

.
├── src/
│   ├── agents.py          # Three specialized CrewAI agents
│   ├── tasks.py           # Task definitions with expected outputs
│   ├── crew.py            # TripCrew orchestrator
│   └── tools/
│       ├── search.py      # Serper web search tool
│       └── calculator.py  # Safe arithmetic evaluation tool
├── app.py                 # Streamlit web interface
├── cli.py                 # Command-line interface
├── .env.example           # Environment variable template
└── requirements.txt

Overview

This project comprises several Python modules:

  • crewai: Core framework for managing the trip planning agent crew with sequential task execution.
  • src/agents: Specialized agents for city selection, local expertise, and travel concierge services.
  • src/tasks: Task definitions for destination analysis, city research, and itinerary creation.
  • langchain: Integration with language models via langchain-openai, supporting OpenAI GPT models.

Getting Started

Prerequisites

Installation

git clone https://github.com/punyamodi/AI-Trip-Planner-using-CrewAI.git
cd AI-Trip-Planner-using-CrewAI

python -m venv venv
# Windows
venv\Scripts\activate
# macOS / Linux
source venv/bin/activate

pip install -r requirements.txt

Configuration

Copy the example environment file and add your API keys:

cp .env.example .env

Edit .env:

OPENAI_API_KEY=your_openai_api_key
SERPER_API_KEY=your_serper_api_key
OPENAI_MODEL=gpt-4o-mini

API keys can also be entered directly in the Streamlit sidebar without creating a .env file.

Usage

Web Interface

streamlit run app.py

Open http://localhost:8501 in your browser. Fill in your trip details and click Plan My Trip.

Command Line

python cli.py

Follow the prompts. The completed itinerary is printed to the terminal and saved as trip_itinerary.md.

Programmatic

from src.crew import TripCrew

crew = TripCrew(
    origin="New York",
    destinations="Tokyo, Bangkok, Bali",
    date_range="September 5 to September 20, 2025",
    interests="street food, temples, photography, hiking",
    budget="Mid-range",
    travelers=2,
)

result = crew.run()
print(result)

Agent Workflow

| Agent | Responsibility | Tools | |-------|---------------|-------| | City Selection Expert | Picks the best destination by comparing weather, events, and flight costs | Web Search | | Local Expert | Compiles a detailed insider guide: attractions, neighborhoods, food, culture | Web Search | | Travel Concierge | Builds the full itinerary with hotels, restaurants, budget, and packing list | Web Search, Calculator |

Example Input

| Field | Example Value | |-------|--------------| | Traveling from | New York | | Destinations | Tokyo, Bangkok, Bali | | Travel dates | September 5 to September 20, 2025 | | Interests | Street food, temples, photography, nature | | Budget | Mid-range | | Travelers | 2 |

Configuration Reference

| Variable | Description | Default | |----------|-------------|---------| | OPENAI_API_KEY | OpenAI API key | Required | | SERPER_API_KEY | Serper search API key | Required | | OPENAI_MODEL | OpenAI model name | gpt-4o-mini |

Contributing

Contributions are welcome. Open an issue or submit a pull request on GitHub.

License

MIT License

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/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.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
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://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T04:38:28.937Z"
    }
  },
  "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": "Punyamodi",
    "href": "https://github.com/punyamodi/AI-Trip-Planner-using-CrewAI",
    "sourceUrl": "https://github.com/punyamodi/AI-Trip-Planner-using-CrewAI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:39.022Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:39.022Z",
    "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://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-punyamodi-ai-trip-planner-using-crewai/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
  }
]

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