How should crewai-code-debugger be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

crewai-code-debugger

A multi-agent CrewAI system that automatically detects and fixes Python code errors using a sequential pipeline of Code Analyzer, Code Corrector, and Manager agents — powered by GPT-4o and CodeInterpreterTool. 🐛 CrewAI Code Debugger <p align="center"> <img src="https://img.shields.io/badge/Python-3.10%2B-blue?style=for-the-badge&logo=python&logoColor=white" /> <img src="https://img.shields.io/badge/CrewAI-1.12%2B-orange?style=for-the-badge&logo=robot&logoColor=white" /> <img src="https://img.shields.io/badge/OpenAI-GPT--4o-412991?style=for-the-badge&logo=openai&logoColor=white" /> <img src="https://img.shields.io/badge/Li

OpenClaw · self-declared

Trust evidence available

View Source

git clone https://github.com/SANJAI-s0/crewai-code-debugger.git

Overall rank

#24

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 18, 2026

Freshness

Last checked May 18, 2026

Best For

crewai-code-debugger 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 OPENCLEW, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Sanjai S0

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/SANJAI-s0/crewai-code-debugger.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Sanjai S0

profilemedium

Observed May 18, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 18, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

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 & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

mermaid

flowchart TD
    A([🚀 Start]) --> B[📥 Input: Buggy Python Code]
    B --> C{🧠 Manager Agent\nOversees Workflow}

    C --> D[🔍 Code Analyzer Agent\nCodeInterpreterTool]
    D --> E[📋 Analysis Task\nIdentify Syntax & Logic Errors]
    E --> F[📄 Error Report\nList of Issues Found]

    F --> G[🔧 Code Corrector Agent]
    G --> H[✏️ Correction Task\nFix Identified Errors]
    H --> I[✅ Corrected Python Code]

    I --> J([🏁 End: Output Delivered])

    style A fill:#4CAF50,color:#fff
    style J fill:#4CAF50,color:#fff
    style C fill:#FF9800,color:#fff
    style D fill:#2196F3,color:#fff
    style G fill:#9C27B0,color:#fff
    style F fill:#f5f5f5,stroke:#999
    style I fill:#E8F5E9,stroke:#4CAF50

text

crewai-code-debugger/
├── Flow/
│   └── workflow.mmd            # Mermaid workflow diagram source
├── crewai_debugger.ipynb       # Main notebook — agents, tasks, and crew
├── requirements.txt            # Python dependencies
├── .env.example                # Environment variable template
├── .gitignore
├── LICENSE
└── README.md

python

def fibonacci_iterative(n):
if n < 0:
return []
elif n == 1:
return [0]
elif n == 2:
return [0, 1]
fib_sequence = [0, 1]
for i in range(2, n):
next_fib = fib_sequence[-1] + fib_sequence[-2]
fib_sequence.append(next_fib)
return fib_sequence

python

def fibonacci_iterative(n):
    if n < 0:
        return []
    elif n == 1:
        return [0]
    elif n == 2:
        return [0, 1]
    fib_sequence = [0, 1]
    for i in range(2, n):
        next_fib = fib_sequence[-1] + fib_sequence[-2]
        fib_sequence.append(next_fib)
    return fib_sequence

bash

# 1. Clone the repository
git clone https://github.com/SANJAI-s0/crewai-code-debugger.git
cd crewai-code-debugger

# 2. Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate        # Windows: .venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Configure environment variables
cp .env.example .env
# Edit .env and add your OPENAI_API_KEY

bash

jupyter notebook crewai_debugger.ipynb

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

🐛 CrewAI Code Debugger

A multi-agent system built with CrewAI that automatically detects and fixes errors in Python code. Two specialized agents — a Code Analyzer and a Code Corrector — work sequentially under a Manager agent to deliver clean, corrected code.

🧠 Overview

This project demonstrates a sequential CrewAI pipeline with planning enabled. Given a snippet of buggy Python code, the system:

Runs the code through a Code Analyzer agent (powered by CodeInterpreterTool) to detect all syntax and logical errors.
Passes the error report to a Code Corrector agent that returns a fully fixed, PEP-8 compliant version.
A Manager agent oversees the entire workflow, coordinating delegation and ensuring quality output.

🔀 Workflow Diagram

flowchart TD
    A([🚀 Start]) --> B[📥 Input: Buggy Python Code]
    B --> C{🧠 Manager Agent\nOversees Workflow}

    C --> D[🔍 Code Analyzer Agent\nCodeInterpreterTool]
    D --> E[📋 Analysis Task\nIdentify Syntax & Logic Errors]
    E --> F[📄 Error Report\nList of Issues Found]

    F --> G[🔧 Code Corrector Agent]
    G --> H[✏️ Correction Task\nFix Identified Errors]
    H --> I[✅ Corrected Python Code]

    I --> J([🏁 End: Output Delivered])

    style A fill:#4CAF50,color:#fff
    style J fill:#4CAF50,color:#fff
    style C fill:#FF9800,color:#fff
    style D fill:#2196F3,color:#fff
    style G fill:#9C27B0,color:#fff
    style F fill:#f5f5f5,stroke:#999
    style I fill:#E8F5E9,stroke:#4CAF50

The .mmd source file is located at Flow/workflow.mmd.

📁 Project Structure

crewai-code-debugger/
├── Flow/
│   └── workflow.mmd            # Mermaid workflow diagram source
├── crewai_debugger.ipynb       # Main notebook — agents, tasks, and crew
├── requirements.txt            # Python dependencies
├── .env.example                # Environment variable template
├── .gitignore
├── LICENSE
└── README.md

🤖 Agents

| Agent | Role | Tool | Delegation | |---|---|---|---| | Code Analyzer | Identifies syntax & logical errors | CodeInterpreterTool | ❌ | | Code Corrector | Fixes all identified errors | — | ❌ | | Manager | Oversees and coordinates the pipeline | — | ✅ |

📋 Tasks

1. Analysis Task

Agent: Code Analyzer
Tool: CodeInterpreterTool — executes the code inside a Docker container to surface runtime and syntax errors
Output: A numbered list of all errors with type, location, and description

2. Correction Task

Agent: Code Corrector
Context: Receives the error list from the Analysis Task via context=[analysis_task]
Output: Complete, corrected Python code ready to run

💡 Example

Input (Buggy Code)

def fibonacci_iterative(n):
if n < 0:
return []
elif n == 1:
return [0]
elif n == 2:
return [0, 1]
fib_sequence = [0, 1]
for i in range(2, n):
next_fib = fib_sequence[-1] + fib_sequence[-2]
fib_sequence.append(next_fib)
return fib_sequence

Expected Output (Corrected Code)

def fibonacci_iterative(n):
    if n < 0:
        return []
    elif n == 1:
        return [0]
    elif n == 2:
        return [0, 1]
    fib_sequence = [0, 1]
    for i in range(2, n):
        next_fib = fib_sequence[-1] + fib_sequence[-2]
        fib_sequence.append(next_fib)
    return fib_sequence

⚙️ Setup & Installation

Prerequisites

Python 3.10+
Docker Desktop (required by CodeInterpreterTool to execute code safely)
An OpenAI API key with an active billing plan

Steps

# 1. Clone the repository
git clone https://github.com/SANJAI-s0/crewai-code-debugger.git
cd crewai-code-debugger

# 2. Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate        # Windows: .venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Configure environment variables
cp .env.example .env
# Edit .env and add your OPENAI_API_KEY

🚀 Usage

Open and run the notebook:

jupyter notebook crewai_debugger.ipynb

Run all cells top to bottom. The crew will execute sequentially:

Code Analyzer evaluates the buggy code and lists all errors.
Code Corrector applies fixes based on the error report.
The final corrected code is displayed in the Run the Pipeline cell.

To debug different code, update the BUGGY_CODE variable in Cell 3.

🔧 Configuration

| Variable | Description | Required | |---|---|---| | OPENAI_API_KEY | Your OpenAI API key (paid plan required) | ✅ | | OPENAI_MODEL_NAME | Model to use (default: gpt-4o) | ❌ |

Set these in your .env file (use .env.example as a template).

CodeInterpreterTool requires Docker Desktop to be running. Start it before executing the pipeline cell.

📄 License

This project is licensed under the MIT License.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-sanjai-s0-crewai-code-debugger/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

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-sanjai-s0-crewai-code-debugger/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:39:40.825Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Sanjai S0",
    "category": "vendor",
    "href": "https://github.com/SANJAI-s0/crewai-code-debugger",
    "sourceUrl": "https://github.com/SANJAI-s0/crewai-code-debugger",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:14.413Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:14.413Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sanjai-s0-crewai-code-debugger/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

🐛 CrewAI Code Debugger

📚 Table of Contents

🧠 Overview

🔀 Workflow Diagram

📁 Project Structure

🤖 Agents

📋 Tasks

1. Analysis Task

2. Correction Task

💡 Example

Input (Buggy Code)

Expected Output (Corrected Code)

⚙️ Setup & Installation

Prerequisites

Steps

🚀 Usage

🔧 Configuration

📄 License

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

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cherry-studio

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Machine Appendix