Xpersona

Crawler Summary

Trip-Planner-using-CrewAI answer-first brief

Includes first basic project using crewai 🏖️ Trip Planner: Streamlit with CrewAI Introduction Trip Planner leverages the CrewAI framework to automate and enhance the trip planning experience, integrating a CLI, FASTAPI, and a user-friendly Streamlit interface. CrewAI Framework CrewAI simplifies the orchestration of role-playing AI agents. In VacAIgent, these agents collaboratively decide on cities and craft a complete itinerary for your trip based on specif 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-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
Agent DossierGITHUB REPOSSafety: 66/100

Trip-Planner-using-CrewAI

Includes first basic project using crewai 🏖️ Trip Planner: Streamlit with CrewAI Introduction Trip Planner leverages the CrewAI framework to automate and enhance the trip planning experience, integrating a CLI, FASTAPI, and a user-friendly Streamlit interface. CrewAI Framework CrewAI simplifies the orchestration of role-playing AI agents. In VacAIgent, these agents collaboratively decide on cities and craft a complete itinerary for your trip based on specif

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

Prathmesh Atre

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Unpublished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.

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

Prathmesh Atre

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

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

2

Snippets

0

Languages

python

Executable Examples

python

class TripAgents():
    def __init__(self, llm: BaseChatModel = None):
        if llm is None:
            #self.llm = LLM(model="groq/deepseek-r1-distill-llama-70b")
            self.llm = LLM(model="gemini/gemini-2.5-flash")
        else:
            self.llm = llm

python

agent = Agent(
        role='Local AI Expert',
        goal='Process information using a local model',
        backstory="An AI assistant running on local hardware.",
        llm=LLM(model="ollama/llama3.2", base_url="http://localhost:11434")
    )

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Includes first basic project using crewai 🏖️ Trip Planner: Streamlit with CrewAI Introduction Trip Planner leverages the CrewAI framework to automate and enhance the trip planning experience, integrating a CLI, FASTAPI, and a user-friendly Streamlit interface. CrewAI Framework CrewAI simplifies the orchestration of role-playing AI agents. In VacAIgent, these agents collaboratively decide on cities and craft a complete itinerary for your trip based on specif

Full README

CrewAI

🏖️ Trip Planner: Streamlit with CrewAI

Streamlit App

Introduction

Trip Planner leverages the CrewAI framework to automate and enhance the trip planning experience, integrating a CLI, FASTAPI, and a user-friendly Streamlit interface.

CrewAI Framework

CrewAI simplifies the orchestration of role-playing AI agents. In VacAIgent, these agents collaboratively decide on cities and craft a complete itinerary for your trip based on specified preferences, all accessible via a streamlined Streamlit user interface.

Flow Diagram

Flow Diagram

Running the Application

To experience the VacAIgent app:

  • Configure Environment: Set up the environment variables for Browseless, Serper, and OpenAI. Use the secrets.example as a guide to add your keys then move that file (secrets.toml) to .streamlit/secrets.toml.

  • Install Dependencies: Execute pip install -r requirements.txt in your terminal.

  • Launch the CLI Mode: Run python cli_app.py -o "Bangalore, India" -d "Krabi, Thailand" -s 2024-05-01 -e 2024-05-10 -i "2 adults who love swimming, dancing, hiking, shopping, food, water sports adventures, rock climbing" to start the CLI Mode.

  • Launch the FASTAPI: Run uvicorn api_app:app --reload to start the FASTAPI server.

  • Launch the Streamlit App: Run streamlit run streamlit_app.py to start the Streamlit interface.

★ Disclaimer: The application uses GEMINI by default. Ensure you have access to GEMINI's API and be aware of the associated costs.

Details & Explanation

  • Streamlit UI: The Streamlit interface is implemented in streamlit_app.py, where users can input their trip details.
  • Components:
    • ./trip_tasks.py: Contains task prompts for the agents.
    • ./trip_agents.py: Manages the creation of agents.
    • ./tools directory: Houses tool classes used by agents.
    • ./streamlit_app.py: The heart of the Streamlit app.

Using LLM Models

To switch LLMs from differnet Providers

class TripAgents():
    def __init__(self, llm: BaseChatModel = None):
        if llm is None:
            #self.llm = LLM(model="groq/deepseek-r1-distill-llama-70b")
            self.llm = LLM(model="gemini/gemini-2.5-flash")
        else:
            self.llm = llm

Connect to LLMs

Integrating Ollama with CrewAI

Pass the Ollama model to agents in the CrewAI framework:

    agent = Agent(
        role='Local AI Expert',
        goal='Process information using a local model',
        backstory="An AI assistant running on local hardware.",
        llm=LLM(model="ollama/llama3.2", base_url="http://localhost:11434")
    )

License

Trip Planner is open-sourced under the 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://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-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.

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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-prathmesh-atre-trip-planner-using-crewai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-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": "2026-10-10T01:53:06.410Z"
    }
  },
  "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": "Prathmesh Atre",
    "href": "https://github.com/Prathmesh-Atre/Trip-Planner-using-CrewAI",
    "sourceUrl": "https://github.com/Prathmesh-Atre/Trip-Planner-using-CrewAI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:21.138Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-trip-planner-using-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:21.138Z",
    "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-prathmesh-atre-trip-planner-using-crewai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-prathmesh-atre-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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