library-flows.md

NeMo Guardrails Library Flows

This document lists all available flows in the NeMo Guardrails library.

Understanding the tables

Library

The Library column indicates which library within the NeMo Guardrails repository provides this flow. To see the source code for a flow, navigate to the specified directory inside nemoguardrails/library, For example, the self_check library is located at nemoguardrails/library/self_check.

Requires a Configured LLM

Flows marked with ✓ in this column use llm_call() to invoke an LLM from your config.models. These flows:

• Require an LLM to be configured in config.yml under the models section
• Will make LLM API calls (e.g., to OpenAI, Azure OpenAI, or local LLM servers)
• May incur costs depending on your LLM provider
• Performance depends on LLM latency and quality
• Examples: Self-check rails, hallucination detection, content safety via LLM

Flows marked with ✗ do not require an LLM configuration.

Requires External Server Calls

Flows marked with ✓ in this column make network calls to external services or APIs other than the configured LLMs. These flows:

• Require network connectivity to external services beyond your LLM provider
• May need additional configuration (API keys, service endpoints, credentials)
• Have external service dependencies that must be available
• Examples: GLiNER server calls, PolicyAI API, Pangea services, AutoAlign API, CrowdStrike AIDR

Flows marked with ✗ do not make external server calls (though they may still use LLMs if indicated in the previous column).

Self-Contained Flows

Flows that are marked with ✗ in both columns are fully self-contained. They:

• Work entirely offline (no network required)
• Do not require LLM configuration
• Have minimal latency and no per-request costs
• Examples: Regex-based checks, local pattern matching, sensitive data detection

Example Configs

The Example Configs column in the table provide locations of example configurations that use the specified flow. To view the example, navigate to the specified directory within the example/configs directory of the NeMo Guardrails repository.

Input Rails

These flows can be configured in rails.input.flows in your config.yml.

Flow Name	Library (nemoguardrails/library/...)	Requires a Configured LLM	Requires External Server Calls	Description	Example Configs
ai defense inspect prompt	nemoguardrails/library/ai_defense	✗	✔	Check if the prompt is safe according to AI Defense.	examples/configs/ai_defense
autoalign check input	nemoguardrails/library/autoalign	✗	✗		examples/configs/autoalign/autoalign_config
content safety check input	nemoguardrails/library/content_safety	✔	✗		examples/configs/nemoguards examples/configs/content_safety examples/configs/nemoguards_cache examples/configs/content_safety_multilingual examples/configs/content_safety_local examples/configs/content_safety_api_keys examples/configs/gs_content_safety/config examples/configs/content_safety_vision examples/configs/content_safety_reasoning
crowdstrike aidr guard input	nemoguardrails/library/crowdstrike_aidr	✗	✔		examples/configs/crowdstrike_aidr
gliner detect pii on input	nemoguardrails/library/gliner	✗	✔	Check if the user input has PII using GLiNER.	examples/configs/gliner/pii_detection
gliner mask pii on input	nemoguardrails/library/gliner	✗	✔	Mask any detected PII in the user input using GLiNER.	examples/configs/gliner/pii_masking
guardrailsai check input	nemoguardrails/library/guardrails_ai	✗	✗	Check input text using relevant Guardrails AI validators.	examples/configs/guardrails_ai examples/configs/guardrails_ai
llama guard check input	nemoguardrails/library/llama_guard	✔	✗		examples/configs/llama_guard
pangea ai guard input	nemoguardrails/library/pangea	✗	✔		examples/configs/pangea
policyai moderation on input	nemoguardrails/library/policyai	✗	✔	Guardrail based on PolicyAI assessment.	N/A
regex check input	nemoguardrails/library/regex	✗	✗	Check if the user input matches any forbidden regex patterns.	N/A
self check input	nemoguardrails/library/self_check/input_check	✔	✗		examples/configs/llm/vertexai
detect sensitive data on input	nemoguardrails/library/sensitive_data_detection	✗	✗	Check if the user input has any sensitive data.	N/A
mask sensitive data on input	nemoguardrails/library/sensitive_data_detection	✗	✗	Mask any sensitive data found in the user input.	N/A
topic safety check input	nemoguardrails/library/topic_safety	✔	✗		examples/configs/nemoguards examples/configs/nemoguards_cache examples/configs/topic_safety
trend ai guard input	nemoguardrails/library/trend_micro	✗	✔		examples/configs/trend_micro

Output Rails

These flows can be configured in rails.output.flows in your config.yml.

Flow Name	Library (nemoguardrails/library/...)	Requires a Configured LLM	Requires External Server Calls	Description	Example Configs
ai defense inspect response	nemoguardrails/library/ai_defense	✗	✔	Check if the response is safe according to AI Defense.	examples/configs/ai_defense
autoalign check output	nemoguardrails/library/autoalign	✗	✗		examples/configs/autoalign/autoalign_config
autoalign factcheck output	nemoguardrails/library/autoalign	✗	✗		examples/configs/autoalign/autoalign_factcheck_config
autoalign groundedness output	nemoguardrails/library/autoalign	✗	✗		examples/configs/autoalign/autoalign_groundness_config
content safety check output	nemoguardrails/library/content_safety	✔	✗		examples/configs/nemoguards examples/configs/content_safety examples/configs/nemoguards_cache examples/configs/content_safety_multilingual examples/configs/content_safety_local examples/configs/content_safety_api_keys examples/configs/gs_content_safety/config examples/configs/content_safety_reasoning
crowdstrike aidr guard output	nemoguardrails/library/crowdstrike_aidr	✗	✔		examples/configs/crowdstrike_aidr
alignscore check facts	nemoguardrails/library/factchecking/align_score	✗	✗		examples/configs/rag/fact_checking
gliner detect pii on output	nemoguardrails/library/gliner	✗	✔	Check if the bot output has PII using GLiNER.	examples/configs/gliner/pii_detection
gliner mask pii on output	nemoguardrails/library/gliner	✗	✔	Mask any detected PII in the bot output using GLiNER.	examples/configs/gliner/pii_masking
guardrailsai check output	nemoguardrails/library/guardrails_ai	✗	✗	Check output text using relevant Guardrails AI validators.	examples/configs/guardrails_ai
hallucination warning	nemoguardrails/library/hallucination	✔	✗	Warning rail for hallucination.	N/A
self check hallucination	nemoguardrails/library/hallucination	✔	✗	Output rail for checking hallucinations.	examples/configs/rag/custom_rag_output_rails
injection detection	nemoguardrails/library/injection_detection	✗	✗		N/A
llama guard check output	nemoguardrails/library/llama_guard	✔	✗		examples/configs/llama_guard
pangea ai guard output	nemoguardrails/library/pangea	✗	✔		examples/configs/pangea
policyai moderation on output	nemoguardrails/library/policyai	✗	✔	Guardrail based on PolicyAI assessment.	N/A
regex check output	nemoguardrails/library/regex	✗	✗	Check if the bot output matches any forbidden regex patterns.	N/A
self check facts	nemoguardrails/library/self_check/facts	✔	✗		examples/configs/rag/custom_rag_output_rails examples/configs/llm/hf_pipeline_llama2
self check output	nemoguardrails/library/self_check/output_check	✔	✗		examples/configs/self_check_thinking examples/configs/llm/vertexai
detect sensitive data on output	nemoguardrails/library/sensitive_data_detection	✗	✗	Check if the bot output has any sensitive data.	N/A
mask sensitive data on output	nemoguardrails/library/sensitive_data_detection	✗	✗	Mask any sensitive data found in the bot output.	N/A
trend ai guard output	nemoguardrails/library/trend_micro	✗	✔		examples/configs/trend_micro

Retrieval Rails

These flows can be configured in rails.retrieval.flows in your config.yml.

Flow Name	Library (nemoguardrails/library/...)	Requires a Configured LLM	Requires External Server Calls	Description	Example Configs
gliner detect pii on retrieval	nemoguardrails/library/gliner	✗	✔	Check if the relevant chunks from the knowledge base have any PII using GLiNER.	N/A
gliner mask pii on retrieval	nemoguardrails/library/gliner	✗	✔	Mask any detected PII in the relevant chunks from the knowledge base using GLiNER.	N/A
regex check retrieval	nemoguardrails/library/regex	✗	✗		N/A
detect sensitive data on retrieval	nemoguardrails/library/sensitive_data_detection	✗	✗	Check if the relevant chunks from the knowledge base have any sensitive data.	N/A
mask sensitive data on retrieval	nemoguardrails/library/sensitive_data_detection	✗	✗	Mask any sensitive data found in the relevant chunks from the knowledge base.	N/A

Statistics

• Total flows: 43
  • Self-contained (no external deps or LLM): 17
  • Requires external dependencies: 16
  • Uses LLM from config.models: 10
• Input rails: 16
• Output rails: 22
• Retrieval rails: 5
• Dialog rails: 0