Crawler Summary

Trip-planner-with-crewai answer-first brief

AI powered multi-agent trip-planning system with CrewAI Trip Planner Crew An AI-powered multi-agent travel planning system built with **CrewAI**, **DeepSeek**, and **DuckDuckGo Search**. The system uses a team of specialized AI travel agents to: - Analyze potential destinations - Gather local travel information - Create detailed travel itineraries - Estimate travel budgets - Recommend attractions, hotels, and restaurants --- Features πŸ€– Multi-Agent Architecture The applic 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-with-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

Agent DossierGITHUB REPOSSafety: 66/100

Trip-planner-with-crewai

AI powered multi-agent trip-planning system with CrewAI Trip Planner Crew An AI-powered multi-agent travel planning system built with **CrewAI**, **DeepSeek**, and **DuckDuckGo Search**. The system uses a team of specialized AI travel agents to: - Analyze potential destinations - Gather local travel information - Create detailed travel itineraries - Estimate travel budgets - Recommend attractions, hotels, and restaurants --- Features πŸ€– Multi-Agent Architecture The applic

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

Shawnspencerpsychicdetective

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Unpublished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

Shawnspencerpsychicdetective

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

0

Snippets

0

Languages

python

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 multi-agent trip-planning system with CrewAI Trip Planner Crew An AI-powered multi-agent travel planning system built with **CrewAI**, **DeepSeek**, and **DuckDuckGo Search**. The system uses a team of specialized AI travel agents to: - Analyze potential destinations - Gather local travel information - Create detailed travel itineraries - Estimate travel budgets - Recommend attractions, hotels, and restaurants --- Features πŸ€– Multi-Agent Architecture The applic

Full README

Trip Planner Crew

An AI-powered multi-agent travel planning system built with CrewAI, DeepSeek, and DuckDuckGo Search.

The system uses a team of specialized AI travel agents to:

  • Analyze potential destinations
  • Gather local travel information
  • Create detailed travel itineraries
  • Estimate travel budgets
  • Recommend attractions, hotels, and restaurants

Features

πŸ€– Multi-Agent Architecture

The application uses three specialized agents:

1. City Selection Expert

Chooses the best destination based on:

  • Weather conditions
  • Seasonal suitability
  • Travel costs
  • User interests
  • Trip dates

2. Local Tour Guide

Provides:

  • Local attractions
  • Hidden gems
  • Cultural information
  • Local customs
  • Events and activities

3. Expert Travel Agent

Creates a complete travel itinerary including:

  • Daily schedules
  • Accommodation suggestions
  • Restaurant recommendations
  • Budget breakdowns
  • Packing suggestions
  • Travel logistics

Project Structure

trip-planner/
β”‚
β”œβ”€β”€ main.py
β”œβ”€β”€ agents.py
β”œβ”€β”€ tasks.py
β”œβ”€β”€ pyproject.toml
β”œβ”€β”€ .env
β”‚
β”œβ”€β”€ tools/
β”‚   β”œβ”€β”€ search_tools.py
β”‚   └── calculator_tools.py
β”‚
└── README.md

Workflow

flowchart LR

A[User Input] --> B[City Selection Expert]

B --> C[Local Tour Guide]

C --> D[Expert Travel Agent]

D --> E[Final Travel Plan]
  1. User provides travel details.
  2. City Selection Expert analyzes destinations.
  3. Local Tour Guide gathers detailed city information.
  4. Expert Travel Agent creates a complete itinerary.
  5. CrewAI combines outputs into a final travel plan.

Requirements

Python

Python >= 3.10
Python < 3.12

Dependencies

  • CrewAI
  • LangChain OpenAI
  • DuckDuckGo Search (DDGS)
  • Python Dotenv
  • Unstructured
  • PyOWM

Installation

Clone the Repository

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

cd trip-planner

Install Dependencies

Using Poetry:

poetry install

Or using pip:

pip install crewai==0.1.24
pip install unstructured==0.10.25
pip install pyowm==3.3.0
pip install python-dotenv==1.0.0
pip install ddgs
pip install langchain-openai==0.0.5

Environment Variables

Create a .env file:

DEEPSEEK_API_KEY=your_api_key_here

Get an API key from DeepSeek.


Running the Application

python main.py

You will be prompted for:

Where will you be travelling from?
What cities are you interested in visiting?
What is the date range you are interested in travelling?
What are some of your interests & preferences?

Example

Where will you be travelling from?
New York

What cities are you interested in visiting?
Tokyo, Kyoto, Osaka

What is the date range you are interested in travelling?
April 1-7, 2027

What are some of your interests & preferences?
Anime, food, temples, nightlife

Example Output

The generated travel plan may include:

Selected City: Tokyo

Day 1:
- Arrive at Narita Airport
- Check in at Hotel Gracery Shinjuku
- Explore Shinjuku

Day 2:
- Visit Senso-ji Temple
- Explore Akihabara
- Dinner at Ichiran Ramen

...

Estimated Budget:
Flights: $900
Hotel: $700
Food: $250
Activities: $300

Total: $2,150

Tools

Internet Search Tool

Uses DuckDuckGo Search to gather:

  • Travel information
  • Hotel recommendations
  • Restaurant suggestions
  • Weather details
  • Local events
SearchTools.search_internet(query)

Calculator Tool

Used by the travel planning agent for:

  • Budget calculations
  • Cost estimations
  • Expense breakdowns
CalculatorTools.calculator("500 * 7")

Agents Overview

| Agent | Responsibility | |---------|----------------| | City Selection Expert | Chooses the best destination | | Local Tour Guide | Provides local knowledge | | Expert Travel Agent | Builds the final itinerary |


Future Improvements

Potential enhancements include:

  • Flight API integration
  • Hotel booking APIs
  • Google Maps integration
  • Weather API integration
  • Multi-city trip planning
  • Cost optimization agent
  • Visa requirement analysis
  • PDF itinerary generation
  • Streamlit web interface
  • LangGraph workflow orchestration

Known Limitations

  • Search results depend on publicly available web data.
  • Flight and hotel prices may not be real-time.
  • Itineraries are generated by LLMs and should be verified before booking.
  • Current implementation does not persist trip history.

Tech Stack

  • CrewAI – Multi-agent orchestration
  • DeepSeek V4 Flash – Language model
  • LangChain – Tool integration
  • DuckDuckGo Search – Internet research
  • Poetry – Dependency management
  • Python – Core application

License

MIT License


Author

Built using CrewAI and DeepSeek as a demonstration of AI-powered multi-agent travel planning.

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-shawnspencerpsychicdetective-trip-planner-with-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-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.

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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-shawnspencerpsychicdetective-trip-planner-with-crewai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-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": "2026-10-10T04:16:26.216Z"
    }
  },
  "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": "Shawnspencerpsychicdetective",
    "href": "https://github.com/shawnSpencerPsychicDetective/Trip-planner-with-crewai",
    "sourceUrl": "https://github.com/shawnSpencerPsychicDetective/Trip-planner-with-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:06:05.315Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:06:05.315Z",
    "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-shawnspencerpsychicdetective-trip-planner-with-crewai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shawnspencerpsychicdetective-trip-planner-with-crewai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· 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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