Xpersona

Crawler Summary

crew-ai-2-and-4-architectures answer-first brief

Jupyter notebooks demonstrating CrewAI 2-agent and 4-agent architectures (Writer/Summarizer and Fact-Checker/Metadata pipelines) with AgentOps tracking. 🤖 CrewAI 2-Bot & 4-Agent Architectures - Multi-Agent Content Pipelines with AgentOps $1 $1 $1 $1 $1 $1 **CrewAI 2-Bot & 4-Agent Architectures** demonstrates two end-to-end **CrewAI** content pipelines delivered as Jupyter notebooks. The **2-bot** crew rebuilds a session into a structured article plus summary, while the **4-agent** crew writes, summarizes, fact-checks, and SEO-metadata-tags the article - all optional Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

crew-ai-2-and-4-architectures 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

crew-ai-2-and-4-architectures

Jupyter notebooks demonstrating CrewAI 2-agent and 4-agent architectures (Writer/Summarizer and Fact-Checker/Metadata pipelines) with AgentOps tracking. 🤖 CrewAI 2-Bot & 4-Agent Architectures - Multi-Agent Content Pipelines with AgentOps $1 $1 $1 $1 $1 $1 **CrewAI 2-Bot & 4-Agent Architectures** demonstrates two end-to-end **CrewAI** content pipelines delivered as Jupyter notebooks. The **2-bot** crew rebuilds a session into a structured article plus summary, while the **4-agent** crew writes, summarizes, fact-checks, and SEO-metadata-tags the article - all optional

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

Marwanabdellah

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Unpublished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

Marwanabdellah

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

6

Snippets

0

Languages

python

Executable Examples

mermaid

graph TD
    subgraph 2-Bot Architecture
        A1[Writer Agent] --> B1[Summarizer Agent]
        B1 --> C1[Article + Summary]
    end
    subgraph 4-Agent Architecture
        A2[Writer Agent] --> B2[Summarizer Agent]
        B2 --> C2[Fact-Checker Agent]
        C2 --> D2[Metadata / SEO Agent]
        D2 --> E2[Corrected Article + SEO metadata]
    end
    A1 --> O[AgentOps Tracking]
    A2 --> O

bash

git clone https://github.com/MarwanAbdellah/crew-ai-2-and-4-architectures.git
cd crew-ai-2-and-4-architectures

bash

pip install crewai "crewai[tools]"
pip install jupyter agentops

env

GEMINI_API_KEY=your_gemini_api_key
AGENTOPS_API_KEY=your_agentops_api_key   # optional

bash

jupyter notebook 2-bots_architecture/2_agents_architecture.ipynb
jupyter notebook 4-bots_architecture/4_agents_architecture.ipynb

bash

jupyter nbconvert --to script 4-bots_architecture/4_agents_architecture.ipynb
python 4-bots_architecture/4_agents_architecture.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

Jupyter notebooks demonstrating CrewAI 2-agent and 4-agent architectures (Writer/Summarizer and Fact-Checker/Metadata pipelines) with AgentOps tracking. 🤖 CrewAI 2-Bot & 4-Agent Architectures - Multi-Agent Content Pipelines with AgentOps $1 $1 $1 $1 $1 $1 **CrewAI 2-Bot & 4-Agent Architectures** demonstrates two end-to-end **CrewAI** content pipelines delivered as Jupyter notebooks. The **2-bot** crew rebuilds a session into a structured article plus summary, while the **4-agent** crew writes, summarizes, fact-checks, and SEO-metadata-tags the article - all optional

Full README

🤖 CrewAI 2-Bot & 4-Agent Architectures - Multi-Agent Content Pipelines with AgentOps

Python CrewAI Gemini 2.0 Flash Jupyter AgentOps License: MIT

CrewAI 2-Bot & 4-Agent Architectures demonstrates two end-to-end CrewAI content pipelines delivered as Jupyter notebooks. The 2-bot crew rebuilds a session into a structured article plus summary, while the 4-agent crew writes, summarizes, fact-checks, and SEO-metadata-tags the article - all optionally tracked with AgentOps.

✨ Key Features

🎯 1. Two Crew Architectures in Notebooks

  • 2_agents_architecture.ipynb - a minimal Writer + Summarizer crew.
  • 4_agents_architecture.ipynb - a full Writer + Summarizer + Fact-Checker + Metadata crew.
  • Run cells top-to-bottom to execute each crew and write outputs.

✍️ 2. Session Rebuild Crew (2 Bots)

  • Writer Agent produces a long, structured article (under 200 words).
  • Summarizer Agent distills the article into a concise summary.

🛡️ 3. Content Creation Crew (4 Agents)

  • Writer Agent writes the article (with intentional inaccuracies added as a challenge).
  • Fact-Checker Agent verifies technical accuracy, marks {errors} and corrects them with [fixes], and explains each correction.
  • Metadata Agent generates SEO-friendly titles, tags, and structured publishing metadata.

📊 4. AgentOps Run Tracking

  • Optional AgentOps integration (agentops.init()) records every run.
  • Review traces and runs directly in your AgentOps dashboard.

🔄 5. Sequential Process with Context Passing

  • Both crews run in Process.sequential mode with task context (e.g., the fact-checker receives the writer's output) for coherent multi-step generation.

🏗️ System Architecture

graph TD
    subgraph 2-Bot Architecture
        A1[Writer Agent] --> B1[Summarizer Agent]
        B1 --> C1[Article + Summary]
    end
    subgraph 4-Agent Architecture
        A2[Writer Agent] --> B2[Summarizer Agent]
        B2 --> C2[Fact-Checker Agent]
        C2 --> D2[Metadata / SEO Agent]
        D2 --> E2[Corrected Article + SEO metadata]
    end
    A1 --> O[AgentOps Tracking]
    A2 --> O

🛠️ Technology Stack

Backend / Core

  • Agent Framework: CrewAI (Agent, Task, Crew, LLM, Process).
  • LLM: Google Gemini 2.0 Flash (gemini/gemini-2.0-flash) with low temperature.

Data & Processing

  • Run Tracking: AgentOps for session observability.
  • Interface: Jupyter notebooks for interactive execution.

🚀 Getting Started

Prerequisites

  • Python 3.10+
  • CrewAI (pip install crewai "crewai[tools]")
  • Jupyter (to open the notebooks)
  • A Gemini API key (and optional AgentOps API key)

1. Repository Setup

git clone https://github.com/MarwanAbdellah/crew-ai-2-and-4-architectures.git
cd crew-ai-2-and-4-architectures

2. Install Dependencies

pip install crewai "crewai[tools]"
pip install jupyter agentops

3. Configure Environment

Set the API keys in the notebook cells (or as environment variables):

GEMINI_API_KEY=your_gemini_api_key
AGENTOPS_API_KEY=your_agentops_api_key   # optional

4. Run

Open a notebook and run all cells top-to-bottom:

jupyter notebook 2-bots_architecture/2_agents_architecture.ipynb
jupyter notebook 4-bots_architecture/4_agents_architecture.ipynb

Optional: export a notebook to a script and run it directly:

jupyter nbconvert --to script 4-bots_architecture/4_agents_architecture.ipynb
python 4-bots_architecture/4_agents_architecture.py

🧪 Testing & Verification

There are no automated unit tests in this repository. To verify the workflow:

  1. Set your API keys and run all cells in either notebook.
  2. Confirm the writer and summarizer produce article + summary output.
  3. In the 4-agent notebook, verify the fact-checker flags {}/[] corrections and the metadata agent emits SEO titles, tags, and JSON metadata.
  4. If AgentOps is configured, confirm runs appear in your AgentOps dashboard.

📁 Project Structure

crew-ai-2-and-4-architectures/
├── 2-bots_architecture/
│   └── 2_agents_architecture.ipynb       # Writer + Summarizer crew
├── 4-bots_architecture/
│   └── 4_agents_architecture.ipynb       # Writer + Summarizer + Fact-Checker + Metadata crew
├── LICENSE
├── .gitignore
├── .gitattributes
└── README.md

👤 Author

Marwan Abdellah

📄 License

Distributed under the MIT License. See LICENSE for more information.

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-marwanabdellah-crew-ai-2-and-4-architectures/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/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-marwanabdellah-crew-ai-2-and-4-architectures/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:31:39.197Z"
    }
  },
  "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": "Marwanabdellah",
    "href": "https://github.com/MarwanAbdellah/crew-ai-2-and-4-architectures",
    "sourceUrl": "https://github.com/MarwanAbdellah/crew-ai-2-and-4-architectures",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:45.779Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:45.779Z",
    "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-marwanabdellah-crew-ai-2-and-4-architectures/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crew-ai-2-and-4-architectures/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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