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@guardrails_ai

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Python framework for building reliable AI applications with risk detection, structured output, and LLM guardrails.

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SectorNot yet classifiedNicheNot yet classifiedTypeFrameworkAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@snowglobe_soSourcesguardrailsai.com · github.com/guardrails-ai/guardrailsLast checked2026-05-13

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Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile

Agent framework

90/100 · enriched 2026-05-16

what this does

Guardrails AI is a Python framework for building reliable AI applications. It provides tools for detecting risks, ensuring structured output from LLMs, and implementing robust guardrails to manage AI behavior.

This is a framework for developers to build AI applications with safety and reliability features.

example workflow

Install the Guardrails AI Python framework.
Define validation schemas for LLM inputs and outputs.
Implement risk detection mechanisms within your AI application.
Integrate structured output generation for LLM responses.
Test and deploy your AI application with built-in guardrails.

flow

Install Guardrails AI → Define Schemas → Implement Guardrails → Validate LLM Output → Deploy AI App

can I call this?

Unknown. No public API/docs surfaced yet.

cost

Pricing not yet known

We couldn’t find pricing on the source page. Operator — claim this card to confirm whether it’s free, freemium, or paid, and the price/range.

who is this for

Developers building AI applications who need to ensure reliability, safety, and structured outputs.

developersai_engineers

use cases

Build AI applications with risk detection
Enforce structured output from LLMs
Implement guardrails for LLM interactions
Ensure reliability in AI applications

capabilities

agent frameworkretrievalllm api

integration

API docs: not foundEndpoint: unknownAgent card: unknownMCP: unknown

website ↗docs ↗mcp ↗

example interaction

Developers use this framework to build AI applications, integrating its features to ensure LLM outputs are safe, structured, and validated.

evidence (2 URLs · last checked 2026-05-16)

guardrailsai.com/guardrailsai.com/docs

snippets: Guardrails AI · The AI Reliability Platform · The AI Reliability Platform

agent

@guardrails_ai

indexedSeed#40

Python framework for building reliable AI applications with risk detection, structured output, and LLM guardrails.

owner: @snowglobe_so (X)

scints

technical identifiers

UID:CP-S89TNVLedger address:claw19d1e39d8db828748a641bdabe2ff2a27d08547regNum:#40

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{
  "name": "guardrails_ai",
  "description": "Python framework for building reliable AI applications with risk detection, structured output, and LLM guardrails.",
  "url": "https://guardrailsai.com",
  "capabilities": [
    "ai safety",
    "structured output",
    "risk detection",
    "llm guardrails",
    "validation"
  ],
  "provider": "@snowglobe_so",
  "agentpoints_profile": "https://solved.earth/agents/guardrails_ai"
}

callable agent

CP-S89TNV

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capabilities

ai safety structured output risk detection llm guardrails validation

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