Xpersona

Crawler Summary

enterprise-incident-intelligence-crewai answer-first brief

Multi-agent CrewAI system that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive PDF reports. Demo: Northwind Financial P1 database outage scenario. Enterprise Incident Intelligence & Resolution System Multi-agent $1 pipeline that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive-ready PDF reports. **Demo scenario:** INC-2026-0847 — Northwind Financial customer portal P1 outage (database connection pool exhaustion, ~2.1M customers affected). **$1** — Visual diagram of the six-agent pipeline Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

enterprise-incident-intelligence-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

enterprise-incident-intelligence-crewai

Multi-agent CrewAI system that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive PDF reports. Demo: Northwind Financial P1 database outage scenario. Enterprise Incident Intelligence & Resolution System Multi-agent $1 pipeline that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive-ready PDF reports. **Demo scenario:** INC-2026-0847 — Northwind Financial customer portal P1 outage (database connection pool exhaustion, ~2.1M customers affected). **$1** — Visual diagram of the six-agent pipeline

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

Avira Nithinmudunuri

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Unpublished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

Avira Nithinmudunuri

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

4

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/avira-nithinmudunuri/enterprise-incident-intelligence-crewai.git
cd enterprise-incident-intelligence-crewai

cp .env.example .env
# Edit .env and set GEMINI_API_KEY

uv sync

bash

crewai run

bash

uv run python -m enterprise_incident_intelligence_resolution_system.report_builder

text

├── data/                    # Demo incident data (JSON, logs, metrics)
├── src/
│   └── enterprise_incident_intelligence_resolution_system/
│       ├── config/
│       │   ├── agents.yaml  # Agent roles & backstories
│       │   └── tasks.yaml   # Task pipeline definition
│       ├── crew.py          # Crew orchestration
│       ├── demo_inputs.py   # Realistic demo scenario
│       ├── main.py          # Entry point
│       └── report_builder.py # HTML/PDF report generator
├── workflow.html            # Visual agent pipeline diagram
├── .env.example
└── pyproject.toml

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Multi-agent CrewAI system that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive PDF reports. Demo: Northwind Financial P1 database outage scenario. Enterprise Incident Intelligence & Resolution System Multi-agent $1 pipeline that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive-ready PDF reports. **Demo scenario:** INC-2026-0847 — Northwind Financial customer portal P1 outage (database connection pool exhaustion, ~2.1M customers affected). **$1** — Visual diagram of the six-agent pipeline

Full README

Enterprise Incident Intelligence & Resolution System

Multi-agent CrewAI pipeline that autonomously triages IT incidents, analyzes logs, retrieves runbooks, performs root-cause analysis, and generates executive-ready PDF reports.

Demo scenario: INC-2026-0847 — Northwind Financial customer portal P1 outage (database connection pool exhaustion, ~2.1M customers affected).

workflow.html — Visual diagram of the six-agent pipeline.

What it does

Six AI agents run in a coordinated incident-response workflow:

| Step | Agent | Output | |------|-------|--------| | 1 | Senior IT Incident Triage Specialist | Severity, category, blast radius, business impact | | 2 | Log Analysis & Anomaly Detection Engineer | Event timeline, error patterns, anomalies | | 3 | Knowledge Base & Runbook Retrieval Specialist | Historical incidents, runbooks, advisories | | 4 | Principal Root Cause Analysis Engineer | Causal chain, ranked hypotheses, evidence | | 5 | Remediation & Resilience Architect | Immediate, 24h, and long-term action plans | | 6 | Communications & Reporting Director | Executive report (Markdown, HTML, PDF) |

Outputs

Running crewai run generates incident reports locally (not committed to the repo):

| File | Description | |------|-------------| | report.pdf | PDF for leadership briefings | | report.html | Styled web document | | report.md | Markdown source report |

Quick start

Prerequisites

  • Python 3.10–3.13
  • uv package manager
  • Google Gemini API key (get one here)

Setup

git clone https://github.com/avira-nithinmudunuri/enterprise-incident-intelligence-crewai.git
cd enterprise-incident-intelligence-crewai

cp .env.example .env
# Edit .env and set GEMINI_API_KEY

uv sync

Run the full pipeline

crewai run

This runs all six agents against the Northwind Financial demo scenario and writes:

  • report.md
  • report.html
  • report.pdf

Regenerate PDF only (no LLM calls)

uv run python -m enterprise_incident_intelligence_resolution_system.report_builder

Project structure

├── data/                    # Demo incident data (JSON, logs, metrics)
├── src/
│   └── enterprise_incident_intelligence_resolution_system/
│       ├── config/
│       │   ├── agents.yaml  # Agent roles & backstories
│       │   └── tasks.yaml   # Task pipeline definition
│       ├── crew.py          # Crew orchestration
│       ├── demo_inputs.py   # Realistic demo scenario
│       ├── main.py          # Entry point
│       └── report_builder.py # HTML/PDF report generator
├── workflow.html            # Visual agent pipeline diagram
├── .env.example
└── pyproject.toml

Configuration

| Variable | Required | Description | |----------|----------|-------------| | GEMINI_API_KEY | Yes | Google Gemini API key | | MODEL | No | Default: google/gemini-2.5-flash | | EMBEDDINGS_GOOGLE_GENERATIVE_AI_MODEL_NAME | No | Default: gemini-embedding-001 | | EXA_API_KEY | No | Enables Exa web search tool | | CONTEXTUAL_AI_API_KEY | No | Enables Contextual AI RAG tool |

Stack

  • CrewAI 1.15 with Google Gemini (crewai[google-genai])
  • RAG search tools: JSON, TXT, CSV, PDF, website
  • PDF generation via xhtml2pdf

License

MIT

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-avira-nithinmudunuri-enterprise-incident-intelligence-cr/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/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-avira-nithinmudunuri-enterprise-incident-intelligence-cr/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:04:14.849Z"
    }
  },
  "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": "Avira Nithinmudunuri",
    "href": "https://github.com/avira-nithinmudunuri/enterprise-incident-intelligence-crewai",
    "sourceUrl": "https://github.com/avira-nithinmudunuri/enterprise-incident-intelligence-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:14:40.256Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:14:40.256Z",
    "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-avira-nithinmudunuri-enterprise-incident-intelligence-cr/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-avira-nithinmudunuri-enterprise-incident-intelligence-cr/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 enterprise-incident-intelligence-crewai and adjacent AI workflows.