Xpersona

Crawler Summary

ai-crewai-task-guardrail answer-first brief

Implementing quality standards with function-based CrewAI Guardrails Implementing quality standards with function-based CrewAI Guardrails In the $1 framework, a "Task" is a specific assignment completed by an "Agent". Task Guardrails provide a way to validate and auto-correct Task outputs before they are passed on to the next Task. This feature helps ensure data quality and provides feedback to Agents when their output doesn't meet specific criteria. In CrewAI, Task Guardrails can be Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

ai-crewai-task-guardrail 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
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

ai-crewai-task-guardrail

Implementing quality standards with function-based CrewAI Guardrails Implementing quality standards with function-based CrewAI Guardrails In the $1 framework, a "Task" is a specific assignment completed by an "Agent". Task Guardrails provide a way to validate and auto-correct Task outputs before they are passed on to the next Task. This feature helps ensure data quality and provides feedback to Agents when their output doesn't meet specific criteria. In CrewAI, Task Guardrails can be

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals2 GitHub stars

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.

2 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Botextractai

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Unpublished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. 2 GitHub stars reported by the source. 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

Botextractai

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

2 GitHub stars

profilemedium
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

0

Snippets

0

Languages

python

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Implementing quality standards with function-based CrewAI Guardrails Implementing quality standards with function-based CrewAI Guardrails In the $1 framework, a "Task" is a specific assignment completed by an "Agent". Task Guardrails provide a way to validate and auto-correct Task outputs before they are passed on to the next Task. This feature helps ensure data quality and provides feedback to Agents when their output doesn't meet specific criteria. In CrewAI, Task Guardrails can be

Full README

Implementing quality standards with function-based CrewAI Guardrails

In the CrewAI framework, a "Task" is a specific assignment completed by an "Agent".

Task Guardrails provide a way to validate and auto-correct Task outputs before they are passed on to the next Task. This feature helps ensure data quality and provides feedback to Agents when their output doesn't meet specific criteria.

In CrewAI, Task Guardrails can be defined in two ways:

  1. Function-based Guardrails: Python functions that implement any custom validation logic. This example shows a function-based CrewAI Guardrail.

  2. String-based Guardrails: Natural language descriptions that are automatically converted to Large Language Model (LLM) powered validations. This approach automatically generates a LLMGuardrail instance using the string as validation criteria, and uses the Task's Agent LLM for validation through a temporary validation Agent that checks the output against the criteria. It returns detailed feedback if the validation fails. String-based Guardrails can use natural language to describe validation rules against harmful content including hate speech, harassment, sexual content, illegal activities, Personally Identifiable Information (PII) exposure, hallucinations, and prompt attacks, all without writing custom validation functions.

This function-based CrewAI Guardrail example

CrewAI Guardrails are a powerful way to add custom validation logic to agentic workflows.

This example shows an Agent that writes a blog for a specific topic, in this case about "Climate Change" for the current calendar year. The function-based CrewAI Guardrail limits the number of words in that blog to a maximum of 100 words. Such program code based word counting might be required, because many LLMs are good with counting output tokens, but less so with correctly counting output words.

The TaskOutput object contains the output data of a completed Task. It gets passed to the CrewAI Guardrail function, which validates the output. In this example, the CrewAI Guardrail function counts how many words that the blog contains. If it's beyond the limit of 100 words, then it asks the Agent again and it does that iteratively until the output of the Task meets the word count, or gives up when it reaches the max_retries number.

This function-based CrewAI Guardrail example shows how to:

  • Write a function-based CrewAI Guardrail
  • Attach it to a Task
  • Automatically retry until the output meets the criteria, or the number of retries reaches the max_retries number

It uses the search tool SerperDevTool to search the web for specific keywords trying to answer the question.

The final result is returned in Markdown format. The rich library is used to display the rendered Markdown in the terminal.

alt text

Required API keys for this example

  1. You need an OpenAI API key for this example. Get your OpenAI API key here. Insert the OpenAI API key into the .env.example file.
  2. You also need a free Serper API key for this example. Get your free Serper API key here. Insert the Serper API key into the .env.example file.
  3. Rename the .env.example file to just .env (remove the ".example" ending).

Run this example

Simply run the main.py script.

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-botextractai-ai-crewai-task-guardrail/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/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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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-botextractai-ai-crewai-task-guardrail/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T18:31:52.280Z"
    }
  },
  "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": "Botextractai",
    "href": "https://github.com/botextractai/ai-crewai-task-guardrail",
    "sourceUrl": "https://github.com/botextractai/ai-crewai-task-guardrail",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:43:30.372Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:43:30.372Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/botextractai/ai-crewai-task-guardrail",
    "sourceUrl": "https://github.com/botextractai/ai-crewai-task-guardrail",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T10:43:30.372Z",
    "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-botextractai-ai-crewai-task-guardrail/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-botextractai-ai-crewai-task-guardrail/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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