Update index.html and 🎼

Author: philjoseph

index.html

@@ -356,27 +356,15 @@ <h2 class="text-3xl md:text-4xl font-bold tracking-tight text-center mb-4">Phase
             const appData = {
                 gatewayValidators: [
                     { name: 'PII Detection (Presidio)', category: 'pii', method: 'Algorithmic', description: 'Uses Microsoft Presidio for high-accuracy Named Entity Recognition (NER) to find and redact a wide range of PII entities.', link: 'https://github.com/microsoft/presidio' },
-                    { name: 'Secrets Detection', category: 'security', method: 'Algorithmic', description: 'Scans text for patterns that match common API key and secret formats to prevent accidental leakage.', link: 'https://hub.guardrailsai.com/validator/guardrails/detect_secrets' },
-                    { name: 'SQL Injection Detection', category: 'security', method: 'Algorithmic', description: 'Uses regular expressions to detect classic SQL injection attack patterns in user prompts.', link: 'https://hub.guardrailsai.com/validator/guardrails/sql_injection' },
+                    { name: 'Secrets Present', category: 'security', method: 'Algorithmic', description: 'Scans text for patterns that match common API key and secret formats to prevent accidental leakage.', link: 'https://hub.guardrailsai.com/validator/guardrails/secrets_present' },
                     { name: 'Toxicity & Harmful Language', category: 'content', method: 'Model-Based', description: 'Uses a sentence-transformer model to classify text for toxicity, insults, threats, and other harmful content.', modelLink: 'https://huggingface.co/martin-ha/toxic-comment-model', link: 'https://hub.guardrailsai.com/validator/guardrails/toxic_language' },
                     { name: 'Profanity Filter', category: 'content', method: 'Algorithmic', description: 'A straightforward filter that checks for words against a comprehensive list of profanities.', link: 'https://hub.guardrailsai.com/validator/guardrails/profanity_free' },
-                    { name: 'Detect Anonymized Text', category: 'pii', method: 'Model-Based', description: 'A specialized model that detects if a text has been *improperly* anonymized, finding leftover PII.', modelLink: 'https://huggingface.co/guardrails-ai/deberta-base-detection-v1', link: 'https://hub.guardrailsai.com/validator/guardrails/detect_anonymized_text' },
-                    { name: 'Is High Quality', category: 'quality', method: 'Model-Based', description: 'Uses a model to score the grammatical and structural quality of a text, ensuring LLM outputs are well-formed.', modelLink: 'https://huggingface.co/guardrails-ai/distilbert-base-uncased-is-high-quality', link: 'https://hub.guardrailsai.com/validator/guardrails/is_high_quality' },
                     { name: 'Prompt Injection (Vigil)', category: 'security', method: 'Model-Based', description: 'A powerful prompt injection detector using a fine-tuned transformer model to identify adversarial inputs.', modelLink: 'https://huggingface.co/deadbits/vigil-llm-prompt-injection', link: 'https://github.com/deadbits/vigil-llm' },
-                    { name: 'Prompt Injection (Heuristic)', category: 'security', method: 'Algorithmic', description: 'Detects prompt injection attempts by searching for common heuristic patterns and keywords (e.g., "ignore your instructions").', link: 'https://github.com/rebuff-ai/rebuff' },
-                    { name: 'PII Redaction (Faker)', category: 'pii', method: 'Algorithmic', description: 'Detects PII and replaces it with realistic but fake data, which can be useful for testing and anonymization.', link: 'https://hub.guardrailsai.com/validator/guardrails/pii_redaction' },
                     { name: 'Gibberish Detection', category: 'quality', method: 'Algorithmic', description: 'Checks if text is coherent language or random characters by analyzing character frequencies and patterns.', link: 'https://hub.guardrailsai.com/validator/guardrails/gibberish_text' },
-                    { name: 'Sentiment Analysis', category: 'content', method: 'Model-Based', description: 'Determines the sentiment (positive, negative, neutral) of a text to enforce a desired tone.', modelLink: 'https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest', link: 'https://hub.guardrailsai.com/validator/guardrails/sentiment' },
-                    { name: 'URL Reachability', category: 'quality', method: 'Algorithmic', description: 'Extracts all URLs from a response and verifies that they are reachable, preventing dead links.', link: 'https://hub.guardrailsai.com/validator/guardrails/urls_reachable' },
+                    { name: 'URL Reachability', category: 'quality', method: 'Algorithmic', description: 'Extracts all URLs from a response and verifies that they are reachable, preventing dead links.', link: 'https://hub.guardrailsai.com/validator/guardrails/valid_url' },
                     { name: 'Code Security (Semgrep)', category: 'security', method: 'Algorithmic', description: 'Uses the Semgrep static analysis engine to scan for common security vulnerabilities in generated code.', link: 'https://github.com/semgrep/semgrep' },
-                    { name: 'Language Detection', category: 'content', method: 'Algorithmic', description: 'Identifies the language of the text to enforce that the LLM only responds in specific languages.', link: 'https://hub.guardrailsai.com/validator/guardrails/detect_language' },
-                    { name: 'Is Profane', category: 'content', method: 'Model-Based', description: 'A nuanced, model-based approach to detecting profanity that can understand context better than a simple word list.', modelLink: 'https://huggingface.co/guardrails-ai/distilbert-base-uncased-is-profane', link: 'https://hub.guardrailsai.com/validator/guardrails/is_profane' },
-                    { name: 'Credit Card Number', category: 'pii', method: 'Algorithmic', description: 'Specifically detects and validates credit card numbers using regex and Luhn algorithm checks.', link: 'https://hub.guardrailsai.com/validator/guardrails/debit_card_number' },
-                    { name: 'Email Address Validator', category: 'pii', method: 'Algorithmic', description: 'Checks if a string is a validly formatted email address.', link: 'https://hub.guardrailsai.com/validator/guardrails/is_valid_email' },
-                    { name: 'Bias Detection', category: 'content', method: 'Model-Based', description: 'Uses a fine-tuned model to detect various forms of social bias (e.g., gender, race) in text.', modelLink: 'https://huggingface.co/d4data/bias-detection-model', link: 'https://github.com/d4data/bias-detection' },
+                    { name: 'Language Detection', category: 'content', method: 'Algorithmic', description: 'Identifies the language of the text to enforce that the LLM only responds in specific languages.', link: 'https://hub.guardrailsai.com/validator/scb-10x/correct_language' },
                     { name: 'Emotion Detection', category: 'content', method: 'Model-Based', description: 'Classifies text into emotional categories like joy, sadness, anger, etc. Useful for monitoring conversation tone.', modelLink: 'https://huggingface.co/j-hartmann/emotion-english-distilroberta-base', link: 'https://huggingface.co/j-hartmann/emotion-english-distilroberta-base' },
-                    { name: 'JSON Schema Validator', category: 'quality', method: 'Algorithmic', description: 'Ensures that an LLM\'s output strictly adheres to a provided JSON schema, crucial for reliable tool use.', link: 'https://hub.guardrailsai.com/validator/guardrails/is_json' },
-                    { name: 'Word Count', category: 'quality', method: 'Algorithmic', description: 'Validates that the number of words in a text falls within a specified min/max range.', link: 'https://hub.guardrailsai.com/validator/guardrails/word_count' },
                     { name: 'Reading Time', category: 'quality', method: 'Algorithmic', description: 'Calculates the estimated reading time of a text and validates it against a min/max range.', link: 'https://hub.guardrailsai.com/validator/guardrails/reading_time' },
                     { name: 'Invisible Characters', category: 'security', method: 'Algorithmic', description: 'Detects and removes invisible characters from prompts that can be used to bypass other filters (from LLM Guard).', link: 'https://github.com/lakera/llm_guard' },
                     { name: 'On-Topic Check', category: 'content', method: 'Model-Based', description: 'Determines if a text is relevant to a list of predefined valid topics using semantic similarity.', modelLink: 'https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2', link: 'https://hub.guardrailsai.com/validator/guardrails/on_topic' },
@@ -391,6 +379,7 @@ <h2 class="text-3xl md:text-4xl font-bold tracking-tight text-center mb-4">Phase
                     { name: 'Valid URL', category: 'quality', method: 'Algorithmic', description: 'Checks if a string is a validly formatted URL.', link: 'https://hub.guardrailsai.com/validator/guardrails/is_valid_url' },
                     { name: 'Valid Range', category: 'quality', method: 'Algorithmic', description: 'Ensures a numerical value falls within a specified minimum and maximum range.', link: 'https://hub.guardrailsai.com/validator/guardrails/valid_range' },
                     { name: 'One Line', category: 'quality', method: 'Algorithmic', description: 'Validates that a string does not contain any newline characters.', link: 'https://hub.guardrailsai.com/validator/guardrails/one_line' },
+                    { name: 'Valid JSON', category: 'quality', method: 'Algorithmic', description: 'Ensures that an LLM\'s output strictly adheres to a provided JSON schema, crucial for reliable tool use.', link: 'https://hub.guardrailsai.com/validator/guardrails/valid_json' },
                 ],
                 gatewayComparison: {
                     recommendation: `Given the context of a software company comfortable with building and managing its own systems, **LiteLLM emerges as the more strategically aligned choice.** The "infrastructure-as-code" approach, deep extensibility via callbacks, and composable nature fit better with a skilled engineering team's desire for control and flexibility. While it requires more initial setup, it provides a more powerful and unopinionated foundation for a truly custom AI Control Plane.`,