For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
LogoLogoNeMo Guardrails
      • Overview
      • How It Works
      • Guardrail Types
      • Supported LLMs
      • Release Notes
      • Installation
      • Tutorials
      • Integrate Guardrails
      • About Configuring Guardrails
      • Configuration Overview
      • Pre-Configuration Checklist
      • Configuring YAML File
      • YAML Schema Reference
      • Guardrail Catalog
      • Custom Actions
      • Custom Initialization
      • Colang
      • Other Configurations
      • Caching
      • Exceptions
      • About Running Guardrailed Inference
      • Python APIs
      • Guardrails API Server
      • Evaluate Configuration
      • Evaluation Methodology
      • Evaluate Guardrails
      • Vulnerability Scanning
      • Overview
      • Logging
      • Tracing
      • Metrics
      • Deployment Options
      • Docker
      • NeMo Microservice
      • LangChain Frameworks
      • Tools Integration
      • Architecture
      • Sequence Diagrams
      • Use Case Diagrams
        • Nemoguardrails
          • Actions
          • Actions Server
          • Base Guardrails
          • Cli
          • Colang
          • Context
          • Embeddings
          • Eval
          • Evaluate
          • Exceptions
          • Guardrails
          • Imports
          • Integrations
          • Kb
          • Library
            • Activefence
            • Ai Defense
            • Autoalign
            • Clavata
            • Cleanlab
            • Content Safety
            • Crowdstrike Aidr
            • Factchecking
              • Align Score
                • Actions
                • Request
                • Server
            • Fiddler
            • Gcp Moderate Text
            • Gliner
            • Guardrails Ai
            • Hallucination
            • Hf Classifier
            • Injection Detection
            • Jailbreak Detection
            • Llama Guard
            • Pangea
            • Patronusai
            • Policyai
            • Privateai
            • Prompt Security
            • Regex
            • Self Check
            • Sensitive Data Detection
            • Topic Safety
            • Trend Micro
          • Llm
          • Logging
          • Patch Asyncio
          • Rails
          • Registry
          • Server
          • Singleton
          • Streaming
          • Telemetry
          • Testing
          • Tracing
          • Types
          • Utils
      • CLI
      • Migrating to 0.22
      • Troubleshooting
      • Security
      • Telemetry and Privacy
      • Research
  • Overview
  • How It Works
  • Guardrail Types
  • Supported LLMs
  • Release Notes
  • Installation
  • Tutorials
  • Check Harmful Content
  • Content Safety Reasoning
  • Restrict Topics
  • Detect Jailbreak Attempts
  • Jailbreak Heuristics
  • Add Multimodal Content Safety
  • Integrate Guardrails
  • About Configuring Guardrails
  • Configuration Overview
  • Pre-Configuration Checklist
  • Configuring YAML File
  • Models
  • Guardrails
  • Prompts
  • Tracing
  • Streaming
  • Streaming LLM Responses
  • Output Rail Streaming
  • YAML Schema Reference
  • Guardrail Catalog
  • Content Safety
  • Jailbreak Protection
  • Topic Control
  • PII Detection
  • Agentic Security
  • Hallucinations & Fact-Checking
  • LLM Self-Check
  • Third-Party APIs
  • ActiveFence
  • AlignScore
  • AutoAlign
  • Cisco AI Defense
  • Clavata
  • Cleanlab
  • CrowdStrike AIDR
  • Fiddler
  • GCP Text Moderation
  • GLiNER PII
  • GuardrailsAI
  • Llama Guard
  • Pangea AI Guard
  • Patronus Evaluate API
  • Patronus Lynx
  • PolicyAI
  • Presidio
  • Private AI
  • Prompt Security
  • Regex
  • Trend Micro
  • Custom Actions
  • Creating Actions
  • Built-in Actions
  • Action Parameters
  • Registering Actions
  • Custom Initialization
  • Init Function
  • LLM Providers
  • Custom LLM Model
  • Testing
  • Custom LLM Framework
  • Embedding Providers
  • Custom Data
  • Colang
  • Colang 2.0 Guide
  • What's Changed
  • Migration Guide
  • Getting Started
  • Hello World
  • Interaction Loop
  • Input Rails
  • Dialog Rails
  • LLM Flows
  • Multimodal Rails
  • Recommended Next Steps
  • Language Reference
  • Introduction
  • Event Generation and Matching
  • Working with Actions
  • Defining Flows
  • Working with Variables and Expressions
  • Flow Control
  • Colang Standard Library
  • Core Flows
  • Timing Flows
  • LLM Flows
  • Avatar Flows
  • Guardrail Flows
  • Attention Flows
  • Make Use of LLMs
  • More on Flows
  • Python Actions
  • Development and Debugging
  • Colang 1.0 Guide
  • Colang 1.0 Language Syntax
  • Colang 1.0 Tutorials
  • Hello World
  • Core Colang Concepts
  • Demo Use Case
  • Input Rails
  • Output Rails
  • Topical Rails
  • Retrieval-Augmented Generation
  • Guardrailing Bot Reasoning Content
  • Colang Usage Examples
  • Bot Message Instructions
  • Extract User-provided Values
  • Other Configurations
  • Knowledge Base
  • Embedding Search Providers
  • Caching
  • Memory Model Cache
  • KV Cache Reuse
  • Exceptions
  • About Running Guardrailed Inference
  • Python APIs
  • Python APIs Overview
  • Core Classes
  • Generation Options
  • Streaming
  • Check Messages
  • Event-Based API
  • Guardrails API Server
  • Overview
  • Run the Server
  • Chat Completions
  • List Configurations
  • List Models
  • Actions Server
  • Evaluate Configuration
  • Evaluation Methodology
  • Evaluate Guardrails
  • Vulnerability Scanning
  • Overview
  • Logging
  • Tracing
  • Quick Start
  • Adapters
  • OpenTelemetry
  • OpenTelemetry Logs
  • Troubleshooting
  • Metrics
  • Enable Guardrails Metrics
  • OpenTelemetry Metrics Integration
  • Metric Reference
  • Deployment Options
  • Docker
  • NeMo Microservice
  • LangChain Frameworks
  • LangChain Integration
  • Agent Middleware
  • RunnableRails
  • Chain with Guardrails
  • Runnable as Action
  • LangGraph
  • Tools Integration
  • Architecture
  • Sequence Diagrams
  • Use Case Diagrams
  • Nemoguardrails
  • Actions
  • Action Dispatcher
  • Actions
  • Core
  • Llm
  • Generation
  • Utils
  • Math
  • Output Mapping
  • Retrieve Relevant Chunks
  • V2 X
  • Generation
  • Validation
  • Base
  • Filter Secrets
  • Actions Server
  • Actions Server
  • Base Guardrails
  • Cli
  • Chat
  • Debugger
  • Migration
  • Providers
  • Colang
  • Runtime
  • V1 0
  • Lang
  • Colang Parser
  • Comd Parser
  • Coyml Parser
  • Parser
  • Utils
  • Runtime
  • Eval
  • Flows
  • Runtime
  • Sliding
  • Utils
  • V2 X
  • Lang
  • Colang Ast
  • Expansion
  • Grammar
  • Load
  • Parser
  • Transformer
  • Utils
  • Runtime
  • Errors
  • Eval
  • Flows
  • Runtime
  • Serialization
  • Statemachine
  • System Functions
  • Utils
  • Context
  • Embeddings
  • Basic
  • Cache
  • Providers
  • Azureopenai
  • Base
  • Cohere
  • Fastembed
  • Google
  • Nim
  • Openai
  • Registry
  • Sentence Transformers
  • Eval
  • Check
  • Cli
  • Eval
  • Models
  • Ui
  • Chart Utils
  • Common
  • README
  • Streamlit Utils
  • Utils
  • Utils
  • Evaluate
  • Cli
  • Evaluate
  • Simplify Formatter
  • Evaluate Factcheck
  • Evaluate Hallucination
  • Evaluate Moderation
  • Evaluate Topical
  • Utils
  • Exceptions
  • Guardrails
  • Api Engine
  • Async Work Queue
  • Base Engine
  • Engine Registry
  • Guardrails
  • Guardrails Types
  • Iorails
  • Model Engine
  • Rail Action
  • Rails Manager
  • Telemetry
  • Imports
  • Integrations
  • Langchain
  • Actions
  • Actions
  • Safetools
  • Exceptions
  • Helpers
  • Langchain Initializer
  • Llm Adapter
  • Message Utils
  • Middleware
  • Providers
  • Huggingface
  • Pipeline
  • Streamers
  • Providers
  • Trtllm
  • Client
  • Llm
  • Runnable Rails
  • Utils
  • Kb
  • Kb
  • Utils
  • Library
  • Activefence
  • Actions
  • Ai Defense
  • Actions
  • Autoalign
  • Actions
  • Clavata
  • Actions
  • Errs
  • Request
  • Utils
  • Cleanlab
  • Actions
  • Content Safety
  • Actions
  • Crowdstrike Aidr
  • Actions
  • Factchecking
  • Align Score
  • Actions
  • Request
  • Server
  • Fiddler
  • Actions
  • Gcp Moderate Text
  • Actions
  • Gliner
  • Actions
  • Models
  • Request
  • Guardrails Ai
  • Actions
  • Errors
  • Registry
  • Hallucination
  • Actions
  • Hf Classifier
  • Actions
  • Backends
  • Injection Detection
  • Actions
  • Yara Config
  • Jailbreak Detection
  • Actions
  • Heuristics
  • Checks
  • Model Based
  • Checks
  • Models
  • Request
  • Server
  • Llama Guard
  • Actions
  • Pangea
  • Actions
  • Patronusai
  • Actions
  • Policyai
  • Actions
  • Privateai
  • Actions
  • Request
  • Prompt Security
  • Actions
  • Regex
  • Actions
  • Self Check
  • Facts
  • Actions
  • Input Check
  • Actions
  • Output Check
  • Actions
  • Sensitive Data Detection
  • Actions
  • Topic Safety
  • Actions
  • Trend Micro
  • Actions
  • Llm
  • Cache
  • Interface
  • Lfu
  • Utils
  • Clients
  • Base
  • Constants
  • Openai Compatible
  • Constants
  • Filters
  • Frameworks
  • Default
  • Registry
  • Openai Reasoning
  • Output Parsers
  • Prompts
  • Providers
  • Taskmanager
  • Types
  • Logging
  • Explain
  • Llm Tracker
  • Processing Log
  • Simplify Formatter
  • Stats
  • Verbose
  • Patch Asyncio
  • Rails
  • Llm
  • Buffer
  • Config
  • Llmrails
  • Options
  • Utils
  • Registry
  • Server
  • Api
  • App
  • Datastore
  • Datastore
  • Memory Store
  • Redis Store
  • Singleton
  • Streaming
  • Telemetry
  • Testing
  • Chat Harness
  • Fake Model
  • Fixtures
  • Tracing
  • Adapters
  • Base
  • Filesystem
  • Opentelemetry
  • Registry
  • Constants
  • Interaction Types
  • Span Extractors
  • Span Format
  • Span Formatting
  • Spans
  • Tracer
  • Types
  • Utils
  • CLI
  • Create Chat Completion
  • List Models
  • List Guardrails Configurations
  • List Challenges
  • Get Server Health or Chat UI
  • Migrating to 0.22
  • Troubleshooting
  • Security
  • Telemetry and Privacy
  • Research
On this page
  • Submodules
ReferencePython SDK ReferenceNemoguardrailsLibraryFactchecking

nemoguardrails.library.factchecking.align_score

||View as Markdown|

Submodules

  • nemoguardrails.library.factchecking.align_score.actions
  • nemoguardrails.library.factchecking.align_score.request
  • nemoguardrails.library.factchecking.align_score.server
Previous

nemoguardrails.library.factchecking

Next

nemoguardrails.library.factchecking.align_score.actions

NVIDIANVIDIA
Developer-friendly docs for your API
Privacy Policy | Your Privacy Choices | Terms of Service | Accessibility | Corporate Policies | Product Security | Contact

Copyright © 2026, NVIDIA Corporation.