From cf48e3a88dd34f4a0b47eafba6f2da738626bde9 Mon Sep 17 00:00:00 2001 From: lahiruudayakumara <79270918+lahiruudayakumara@users.noreply.github.com> Date: Wed, 22 Jul 2026 05:33:02 +0530 Subject: [PATCH] Fix guardrail card contrast in dark mode --- en/docs/ai-gateway/ai-guardrails/overview.md | 22 ++++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/en/docs/ai-gateway/ai-guardrails/overview.md b/en/docs/ai-gateway/ai-guardrails/overview.md index 14e8735ad3..a6c63e17bc 100644 --- a/en/docs/ai-gateway/ai-guardrails/overview.md +++ b/en/docs/ai-gateway/ai-guardrails/overview.md @@ -41,57 +41,57 @@ They act as intelligent filters that:
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Content Length Guardrail
Restricts the maximum length of LLM requests or responses.
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Regex Guardrail
Validates LLM requests or responses using custom regular expressions.
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JSON Schema Guardrail
Ensures LLM requests or responses match a specified JSON schema.
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Sentence Count Guardrail
Limits the number of sentences in LLM requests or responses.
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URL Guardrail
Validates URLs in LLM responses, useful to detect hallucinated URLs.
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Word Count Guardrail
Restricts the number of words in LLM requests or responses.
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PII Masking with Regex
Safeguard Personally Identifiable Information (PII) in LLM requests or responses by leveraging user-defined regular expressions.
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Semantic Prompt Guardrail
Evaluate the semantic similarity of incoming prompts against a predefined list to allow or deny LLM requests.
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Semantic Tool Filtering
Selects and ranks available API tools by semantic relevance to the user's query; includes evaluation metrics comparing embedding providers.
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Azure Content Safety Content Moderation
Perform content moderation on LLM requests or responses using Azure Content Safety's Content Moderation API.
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AWS Bedrock Guardrail
Enforce AI API Safeguards with AWS Bedrock Guardrails