AionUi
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Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Rjmblc
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Rjmblc
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
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 Itinerarytext
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
Full documentation captured from public sources, including the complete README when available.
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
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.
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
Responsible for:
Responsible for:
The application consists of reusable AI tools:
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
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
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 Streamlit frontend
streamlit run app.py


This project demonstrates:
Rajmohan B
GitHub: https://github.com/rjmblc
LinkedIn: https://www.linkedin.com/in/rajmohan-balachandran-29199a45/
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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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.