mirror of
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9495f4e941
* auth_with_role_name add region_name arg for cross-account sts * update tests to include case with aws_region_name for _auth_with_aws_role * Only pass region_name to STS client when aws_region_name is set * Add optional aws_sts_endpoint to _auth_with_aws_role * Parametrize ambient-credentials test for no opts, region_name, and aws_sts_endpoint * consistently passing region and endpoint args into explicit credentials irsa * fix env var leakage * fix: bedrock openai-compatible imported-model should also have model arn encoded * feat: show proxy url in ModelHub (#21660) * fix(bedrock): correct modelInput format for Converse API batch models (#21656) * fix(proxy): add model_ids param to access group endpoints for precise deployment tagging (#21655) POST /access_group/new and PUT /access_group/{name}/update now accept an optional model_ids list that targets specific deployments by their unique model_id, instead of tagging every deployment that shares a model_name. When model_ids is provided it takes priority over model_names, giving API callers the same single-deployment precision that the UI already has via PATCH /model/{model_id}/update. Backward compatible: model_names continues to work as before. Closes #21544 * feat(proxy): add custom favicon support\n\nAdd ability to configure a custom favicon for the litellm proxy UI.\n\n- Add favicon_url field to UIThemeConfig model\n- Add LITELLM_FAVICON_URL env var support\n- Add /get_favicon endpoint to serve custom favicons\n- Update ThemeContext to dynamically set favicon\n- Add favicon URL input to UI theme settings page\n- Add comprehensive tests\n\nCloses #8323 (#21653) * fix(bedrock): prevent double UUID in create_file S3 key (#21650) In create_file for Bedrock, get_complete_file_url is called twice: once in the sync handler (generating UUID-1 for api_base) and once inside transform_create_file_request (generating UUID-2 for the actual S3 upload). The Bedrock provider correctly writes UUID-2 into litellm_params["upload_url"], but the sync handler unconditionally overwrites it with api_base (UUID-1). This causes the returned file_id to point to a non-existent S3 key. Fix: only set upload_url to api_base when transform_create_file_request has not already set it, preserving the Bedrock provider's value. Closes #21546 * feat(semantic-cache): support configurable vector dimensions for Qdrant (#21649) Add vector_size parameter to QdrantSemanticCache and expose it through the Cache facade as qdrant_semantic_cache_vector_size. This allows users to use embedding models with dimensions other than the default 1536, enabling cheaper/stronger models like Stella (1024d), bge-en-icl (4096d), voyage, cohere, etc. The parameter defaults to QDRANT_VECTOR_SIZE (env var or 1536) for backward compatibility. When creating new collections, the configured vector_size is used instead of the hardcoded constant. Closes #9377 * fix(utils): normalize camelCase thinking param keys to snake_case (#21762) Clients like OpenCode's @ai-sdk/openai-compatible send budgetTokens (camelCase) instead of budget_tokens in the thinking parameter, causing validation errors. Add early normalization in completion(). * feat: add optional digest mode for Slack alert types (#21683) Adds per-alert-type digest mode that aggregates duplicate alerts within a configurable time window and emits a single summary message with count, start/end timestamps. Configuration via general_settings.alert_type_config: alert_type_config: llm_requests_hanging: digest: true digest_interval: 86400 Digest key: (alert_type, request_model, api_base) Default interval: 24 hours Window type: fixed interval Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add blog_posts.json and local backup * feat: add GetBlogPosts utility with GitHub fetch and local fallback Adds GetBlogPosts class that fetches blog posts from GitHub with a 1-hour in-process TTL cache, validates the response, and falls back to the bundled blog_posts_backup.json on any network or validation failure. * test: add cache reset fixture and LITELLM_LOCAL_BLOG_POSTS test Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: add GET /public/litellm_blog_posts endpoint Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: log fallback warning in blog posts endpoint and tighten test * feat: add disable_show_blog to UISettings Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: add useUISettings and useDisableShowBlog hooks * fix: rename useUISettings to useUISettingsFlags to avoid naming collision * fix: use existing useUISettings hook in useDisableShowBlog to avoid cache duplication Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: add BlogDropdown component with react-query and error/retry state Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: enforce 5-post limit in BlogDropdown and add cap test * fix: add retry, stable post key, enabled guard in BlogDropdown Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: add BlogDropdown to navbar after Docs link * feat: add network_mock transport for benchmarking proxy overhead without real API calls Intercepts at httpx transport layer so the full proxy path (auth, routing, OpenAI SDK, response transformation) is exercised with zero-latency responses. Activated via `litellm_settings: { network_mock: true }` in proxy config. * Litellm dev 02 19 2026 p2 (#21871) * feat(ui/): new guardrails monitor 'demo mock representation of what guardrails monitor looks like * fix: ui updates * style(ui/): fix styling * feat: enable running ai monitor on individual guardrails * feat: add backend logic for guardrail monitoring * fix(guardrails/usage_endpoints.py): fix usage dashboard * fix(budget): fix timezone config lookup and replace hardcoded timezone map with ZoneInfo (#21754) * fix(budget): fix timezone config lookup and replace hardcoded timezone map with ZoneInfo * fix(budget): update stale docstring on get_budget_reset_time * fix: add missing return type annotations to iterator protocol methods in streaming_handler (#21750) * fix: add return type annotations to iterator protocol methods in streaming_handler Add missing return type annotations to __iter__, __aiter__, __next__, and __anext__ methods in CustomStreamWrapper and related classes. - __iter__(self) -> Iterator["ModelResponseStream"] - __aiter__(self) -> AsyncIterator["ModelResponseStream"] - __next__(self) -> "ModelResponseStream" - __anext__(self) -> "ModelResponseStream" Also adds AsyncIterator and Iterator to typing imports. Fixes issue with PLR0915 noqa comments and ensures proper type checking support. Related to: BerriAI/litellm#8304 * fix: add ruff PLR0915 noqa for files with too many statements * Add gollem Go agent framework cookbook example (#21747) Show how to use gollem, a production Go agent framework, with LiteLLM proxy for multi-provider LLM access including tool use and streaming. * fix: avoid mutating caller-owned dicts in SpendUpdateQueue aggregation (#21742) * fix(vertex_ai): enable context-1m-2025-08-07 beta header (#21870) * server root path regression doc * fixing syntax * fix: replace Zapier webhook with Google Form for survey submission (#21621) * Replace Zapier webhook with Google Form for survey submission * Add back error logging for survey submission debugging --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> * Revert "Merge pull request #21140 from BerriAI/litellm_perf_user_api_key_auth" This reverts commit0e1db3f7e4, reversing changes made to7e2d6f2355. * test_vertex_ai_gemini_2_5_pro_streaming * UI new build * fix rendering * ui new build * docs fix * docs fix * docs fix * docs fix * docs fix * docs fix * docs fix * docs fix * release note docs * docs * adding image * fix(vertex_ai): enable context-1m-2025-08-07 beta header The `context-1m-2025-08-07` Anthropic beta header was set to `null` for vertex_ai, causing it to be filtered out when users set `extra_headers: {anthropic-beta: context-1m-2025-08-07}`. This prevented using Claude's 1M context window feature via Vertex AI, resulting in `prompt is too long: 460500 tokens > 200000 maximum` errors. Fixes #21861 --------- Co-authored-by: yuneng-jiang <yuneng.jiang@gmail.com> Co-authored-by: milan-berri <milan@berri.ai> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> * Revert "fix(vertex_ai): enable context-1m-2025-08-07 beta header (#21870)" (#21876) This reverts commitbce078a796. * docs(ui): add pre-PR checklist to UI contributing guide Add testing and build verification steps per maintainer feedback from @yjiang-litellm. Contributors should run their related tests per-file and ensure npm run build passes before opening PRs. * Fix entries with fast and us/ * Add tests for fast and us * Add support for Priority PayGo for vertex ai and gemini * Add model pricing * fix: ensure arrival_time is set before calculating queue time * Fix: Anthropic model wildcard access issue * Add incident report * Add ability to see which model cost map is getting used * Fix name of title * Readd tpm limit * State management fixes for CheckBatchCost * Fix PR review comments * State management fixes for CheckBatchCost - Address greptile comments * fix mypy issues: * Add Noma guardrails v2 based on custom guardrails (#21400) * Fix code qa issues * Fix mypy issues * Fix mypy issues * Fix test_aaamodel_prices_and_context_window_json_is_valid * fix: update calendly on repo * fix(tests): use counter-based mock for time.time in prisma self-heal test The test used a fixed side_effect list for time.time(), but the number of calls varies by Python version, causing StopIteration on 3.12 and AssertionError on 3.14. Replace with an infinite counter-based callable and assert the timestamp was updated rather than checking for an exact value. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tests): use absolute path for model_prices JSON in validation test The test used a relative path 'litellm/model_prices_and_context_window.json' which only works when pytest runs from a specific working directory. Use os.path based on __file__ to resolve the path reliably. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update tests/test_litellm/test_utils.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(tests): use os.path instead of Path to avoid NameError Path is not imported at module level. Use os.path.join which is already available. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * clean up mock transport: remove streaming, add defensive parsing * docs: add Google GenAI SDK tutorial (JS & Python) (#21885) * docs: add Google GenAI SDK tutorial for JS and Python Add tutorial for using Google's official GenAI SDK (@google/genai for JS, google-genai for Python) with LiteLLM proxy. Covers pass-through and native router endpoints, streaming, multi-turn chat, and multi-provider routing via model_group_alias. Also updates pass-through docs to use the new SDK replacing the deprecated @google/generative-ai. * fix(docs): correct Python SDK env var name in GenAI tutorial GOOGLE_GENAI_API_KEY does not exist in the google-genai SDK. The correct env var is GEMINI_API_KEY (or GOOGLE_API_KEY). Also note that the Python SDK has no base URL env var. * fix(docs): replace non-existent GOOGLE_GENAI_BASE_URL env var in interactions.md The Python google-genai SDK does not read GOOGLE_GENAI_BASE_URL. Use http_options={"base_url": "..."} in code instead. * docs: add network mock benchmarking section * docs: tweak benchmarks wording * fix: add auth headers and empty latencies guard to benchmark script * refactor: use method-level import for MockOpenAITransport * fix: guard print_aggregate against empty latencies * fix: add INCOMPLETE status to Interactions API enum and test Google added INCOMPLETE to the Interactions API OpenAPI spec status enum. Update both the Status3 enum in the SDK types and the test's expected values to match. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Guardrail Monitor - measure guardrail reliability in prod (#21944) * fix: fix log viewer for guardrail monitoring * feat(ui/): fix rendering logs per guardrail * fix: fix viewing logs on overview tab of guardrail * fix: log viewer * fix: fix naming to align with metric * docs: add performance & reliability section to v1.81.14 release notes * fix(tests): make RPM limit test sequential to avoid race condition Concurrent requests via run_in_executor + asyncio.gather caused a race condition where more requests slipped through the rate limiter than expected, leading to flaky test failures (e.g. 3 successes instead of 2 with rpm_limit=2). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: Singapore guardrail policies (PDPA + MAS AI Risk Management) (#21948) * feat: Singapore PDPA PII protection guardrail policy template Add Singapore Personal Data Protection Act (PDPA) guardrail support: Regex patterns (patterns.json): - sg_nric: NRIC/FIN detection ([STFGM] + 7 digits + checksum letter) - sg_phone: Singapore phone numbers (+65/0065/65 prefix) - sg_postal_code: 6-digit postal codes (contextual) - passport_singapore: Passport numbers (E/K + 7 digits, contextual) - sg_uen: Unique Entity Numbers (3 formats) - sg_bank_account: Bank account numbers (dash format, contextual) YAML policy templates (5 sub-guardrails): - sg_pdpa_personal_identifiers: s.13 Consent - sg_pdpa_sensitive_data: Advisory Guidelines - sg_pdpa_do_not_call: Part IX DNC Registry - sg_pdpa_data_transfer: s.26 overseas transfers - sg_pdpa_profiling_automated_decisions: Model AI Governance Framework Policy template entry in policy_templates.json with 9 guardrail definitions (4 regex-based + 5 YAML conditional keyword matching). Tests: - test_sg_patterns.py: regex pattern unit tests - test_sg_pdpa_guardrails.py: conditional keyword matching tests (100+ cases) * feat: MAS AI Risk Management Guidelines guardrail policy template Add Monetary Authority of Singapore (MAS) AI Risk Management Guidelines guardrail support for financial institutions: YAML policy templates (5 sub-guardrails): - sg_mas_fairness_bias: Blocks discriminatory financial AI (credit/loans/insurance by protected attributes) - sg_mas_transparency_explainability: Blocks opaque/unexplainable AI for consequential financial decisions - sg_mas_human_oversight: Blocks fully automated financial decisions without human-in-the-loop - sg_mas_data_governance: Blocks unauthorized sharing/mishandling of financial customer data - sg_mas_model_security: Blocks adversarial attacks, model poisoning, inversion on financial AI Policy template entry in policy_templates.json with 5 guardrail definitions. Aligned with MAS FEAT Principles, Project MindForge, and NIST AI RMF. Tests: - test_sg_mas_ai_guardrails.py: conditional keyword matching tests (100+ cases) * fix: address SG pattern review feedback - Update NRIC lowercase test for IGNORECASE runtime behavior - Add keyword context guard to sg_uen pattern to reduce false positives * docs: clarify MAS AIRM timeline references - Explicitly mark MAS AIRM as Nov 2025 consultation draft - Add 2018 qualifier for FEAT principles in MAS policy descriptions - Update MAS guardrail wording to avoid release-year ambiguity * chore: commit resolved MAS policy conflicts * test: * chore: * Add OpenAI Agents SDK tutorial with LiteLLM Proxy to docs (#21221) * Add OpenAI Agents SDK tutorial to docs * Update OpenAI Agents SDK tutorial to use LiteLLM environment variables * Enhance OpenAI Agents SDK tutorial with built-in LiteLLM extension details and updated configuration steps. Adjust section headings for clarity and improve the flow of information regarding model setup and usage. * adjust blog posts to fetch from github first * feat(videos): add variant parameter to video content download (#21955) openai videos models support the features to download variants. See more details here: https://developers.openai.com/api/docs/guides/video-generation#use-image-references. Plumb variant (e.g. "thumbnail", "spritesheet") through the full video content download chain: avideo_content → video_content → video_content_handler → transform_video_content_request. OpenAI appends ?variant=<value> to the GET URL; other providers accept the parameter in their signature but ignore it. * fixing path * adjust blog post path * Revert duplicate issue checker to text-based matching, remove duplicate PR workflow Remove the Claude Code-powered duplicate PR detection workflow and revert the duplicate issue checker back to wow-actions/potential-duplicates with text similarity matching. * ui changes * adding tests * adjust default aggregation threshold * fix(videos): pass api_key from litellm_params to video remix handlers (#21965) video_remix_handler and async_video_remix_handler were not falling back to litellm_params.api_key when the api_key parameter was None, causing Authorization: Bearer None to be sent to the provider. This matches the pattern already used by async_video_generation_handler. * adding testing coverage + fixing flaky tests * fix(ollama): thread api_base through get_model_info and add graceful fallback When users pass api_base to litellm.completion() for Ollama, the model info fetch (context window, function_calling support) was ignoring the user's api_base and only reading OLLAMA_API_BASE env var or defaulting to localhost:11434. This caused confusing errors in logs when Ollama runs on a remote server. Thread api_base from litellm_params through the get_model_info call chain so OllamaConfig.get_model_info() uses the correct server. Also return safe defaults instead of raising when the server is unreachable. Fixes #21967 --------- Co-authored-by: An Tang <ta@stripe.com> Co-authored-by: janfrederickk <75388864+janfrederickk@users.noreply.github.com> Co-authored-by: Zhenting Huang <3061613175@qq.com> Co-authored-by: Darien Kindlund <darien@kindlund.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: yuneng-jiang <yuneng.jiang@gmail.com> Co-authored-by: Ryan Crabbe <rcrabbe@berkeley.edu> Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> Co-authored-by: LeeJuOh <56071126+LeeJuOh@users.noreply.github.com> Co-authored-by: Monesh Ram <31161039+WhoisMonesh@users.noreply.github.com> Co-authored-by: Trevor Prater <trevor.prater@gmail.com> Co-authored-by: The Mavik <179817126+themavik@users.noreply.github.com> Co-authored-by: Edwin Isac <33712823+edwiniac@users.noreply.github.com> Co-authored-by: milan-berri <milan@berri.ai> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> Co-authored-by: Harshit Jain <harshitjain0562@gmail.com> Co-authored-by: Harshit Jain <48647625+Harshit28j@users.noreply.github.com> Co-authored-by: Ephrim Stanley <ephrim.stanley@point72.com> Co-authored-by: TomAlon <tom@noma.security> Co-authored-by: Julio Quinteros Pro <jquinter@gmail.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: ryan-crabbe <128659760+ryan-crabbe@users.noreply.github.com> Co-authored-by: Ron Zhong <ron-zhong@hotmail.com> Co-authored-by: Arindam Majumder <109217591+Arindam200@users.noreply.github.com> Co-authored-by: Lei Nie <lenie@quora.com>
2379 lines
82 KiB
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2379 lines
82 KiB
JSON
[
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{
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"id": "advanced-au-pii-protection",
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"title": "Advanced PII Protection (Australia)",
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"description": "Protects Australian-specific identifiers, international employee data, financial information, credentials, protected class information, and industry-specific sensitive data.",
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"icon": "ShieldCheckIcon",
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"iconColor": "text-purple-500",
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"iconBg": "bg-purple-50",
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"guardrails": [
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"au-pii-tax-identifiers",
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"au-pii-passports",
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"international-pii-identifiers",
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"contact-information-pii",
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"financial-pii",
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"credentials-api-keys",
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"network-infrastructure-pii",
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"protected-class-information"
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],
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"complexity": "High",
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"guardrailDefinitions": [
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{
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"guardrail_name": "au-pii-tax-identifiers",
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"litellm_params": {
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"guardrail": "litellm_content_filter",
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"mode": "pre_call",
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"patterns": [
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{
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"pattern_type": "prebuilt",
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"pattern_name": "au_tfn",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "au_abn",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "au_medicare",
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"action": "MASK"
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}
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],
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"pattern_redaction_format": "[{pattern_name}_REDACTED]"
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},
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"guardrail_info": {
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"description": "Masks Australian Tax File Numbers, Business Numbers, and Medicare Numbers"
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}
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},
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{
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"guardrail_name": "au-pii-passports",
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"litellm_params": {
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"guardrail": "litellm_content_filter",
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"mode": "pre_call",
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"patterns": [
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_australia",
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"action": "MASK"
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}
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],
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"pattern_redaction_format": "[PASSPORT_REDACTED]"
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},
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"guardrail_info": {
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"description": "Masks Australian passport numbers"
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}
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},
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{
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"guardrail_name": "international-pii-identifiers",
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"litellm_params": {
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"guardrail": "litellm_content_filter",
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"mode": "pre_call",
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"patterns": [
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{
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"pattern_type": "prebuilt",
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"pattern_name": "us_ssn",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "us_ssn_no_dash",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_us",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_uk",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_germany",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_france",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_netherlands",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "nl_bsn_contextual",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_china",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_india",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_japan",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "passport_canada",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_cpf",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_cpf_unformatted",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_rg",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_cnpj",
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"action": "MASK"
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}
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],
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"pattern_redaction_format": "[{pattern_name}_REDACTED]"
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},
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"guardrail_info": {
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"description": "Masks international PII identifiers including passports and national IDs"
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}
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},
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{
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"guardrail_name": "contact-information-pii",
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"litellm_params": {
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"guardrail": "litellm_content_filter",
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"mode": "pre_call",
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"patterns": [
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{
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"pattern_type": "prebuilt",
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"pattern_name": "email",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "us_phone",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_phone_landline",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_phone_mobile",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "street_address",
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"action": "MASK"
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},
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{
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"pattern_type": "prebuilt",
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"pattern_name": "br_cep",
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"action": "MASK"
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}
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],
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"pattern_redaction_format": "[{pattern_name}_REDACTED]"
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},
|
|
"guardrail_info": {
|
|
"description": "Masks contact information including emails, phone numbers, and addresses"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "financial-pii",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "visa",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "mastercard",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "amex",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "discover",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "credit_card",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "iban",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks financial information including credit cards and bank account numbers"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "credentials-api-keys",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "aws_access_key",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "aws_secret_key",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "github_token",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "slack_token",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "generic_api_key",
|
|
"action": "BLOCK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks requests containing API keys and credentials (AWS, GitHub, Slack)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "network-infrastructure-pii",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "ipv4",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "ipv6",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[INTERNAL_IP_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks IP addresses in requests"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "protected-class-information",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "gender_sexual_orientation",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "race_ethnicity_national_origin",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "religion",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "age_discrimination",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "disability",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "marital_family_status",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "military_status",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "public_assistance",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[PROTECTED_CLASS_INFO_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks protected class information for HR compliance and anti-discrimination"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "advanced-pii-protection-australia",
|
|
"description": "Comprehensive PII detection and masking policy for Australia. Protects Australian-specific identifiers, international employee data, financial information, credentials, protected class information, and industry-specific sensitive data.",
|
|
"guardrails_add": [
|
|
"au-pii-tax-identifiers",
|
|
"au-pii-passports",
|
|
"international-pii-identifiers",
|
|
"contact-information-pii",
|
|
"financial-pii",
|
|
"credentials-api-keys",
|
|
"network-infrastructure-pii",
|
|
"protected-class-information"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"PII Protection",
|
|
"Australia"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "baseline-pii-protection",
|
|
"title": "Baseline PII Protection",
|
|
"description": "Baseline PII protection for internal tools and testing. Focuses on credentials and high-risk identifiers only. Suitable for non-sensitive internal use.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-blue-500",
|
|
"iconBg": "bg-blue-50",
|
|
"guardrails": [
|
|
"au-pii-tax-identifiers",
|
|
"credentials-api-keys",
|
|
"financial-pii"
|
|
],
|
|
"complexity": "Low",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "au-pii-tax-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "au_tfn",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "au_abn",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "au_medicare",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks Australian Tax File Numbers, Business Numbers, and Medicare Numbers"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "credentials-api-keys",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "aws_access_key",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "aws_secret_key",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "github_token",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "slack_token",
|
|
"action": "BLOCK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "generic_api_key",
|
|
"action": "BLOCK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks requests containing API keys and credentials (AWS, GitHub, Slack)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "financial-pii",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "visa",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "mastercard",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "amex",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "discover",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "credit_card",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "iban",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks financial information including credit cards and bank account numbers"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "baseline-pii-protection",
|
|
"description": "Baseline PII protection for internal tools and testing. Focuses on credentials and high-risk identifiers only.",
|
|
"guardrails_add": [
|
|
"au-pii-tax-identifiers",
|
|
"credentials-api-keys",
|
|
"financial-pii"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"PII Protection"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "nsfw-content-filter-australia",
|
|
"title": "NSFW Content Filter (Australia)",
|
|
"description": "Blocks profanity, sexual content, NSFW requests, self-harm content, and child safety violations using English and Australian-specific slang. Protects against inappropriate content including sexual solicitation, explicit content, Australian profanity, self-harm, and content involving minors.",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-red-500",
|
|
"iconBg": "bg-red-50",
|
|
"guardrails": [
|
|
"nsfw-content-filter-english",
|
|
"nsfw-content-filter-australian",
|
|
"nsfw-self-harm-filter",
|
|
"nsfw-child-safety-filter",
|
|
"nsfw-racial-bias-filter"
|
|
],
|
|
"complexity": "Medium",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "nsfw-content-filter-english",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks profanity, sexual content, slurs, and NSFW terms in English"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-content-filter-australian",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse_au",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks Australian-specific slang and profanity (root, perv, bogan, wanker, etc.)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-self-harm-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_self_harm",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks content related to self-harm, suicide, and eating disorders"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-child-safety-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_child_safety",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks inappropriate content involving minors using identifier + block word combinations"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-racial-bias-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "bias_racial",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks racial and ethnic discrimination, hate speech, and supremacist content"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "nsfw-content-filter-australia",
|
|
"description": "NSFW content filter for Australia. Blocks profanity, sexual content, inappropriate requests, self-harm content, child safety violations, and racial bias in English and Australian slang.",
|
|
"guardrails_add": [
|
|
"nsfw-content-filter-english",
|
|
"nsfw-content-filter-australian",
|
|
"nsfw-self-harm-filter",
|
|
"nsfw-child-safety-filter",
|
|
"nsfw-racial-bias-filter"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Content Safety",
|
|
"Australia"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "nsfw-content-filter-basic",
|
|
"title": "NSFW Content Filter (Basic)",
|
|
"description": "Basic NSFW content filtering for English only. Blocks profanity, sexual content, slurs, solicitation, explicit requests, self-harm content, and child safety violations. Suitable for most applications requiring content moderation.",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-orange-500",
|
|
"iconBg": "bg-orange-50",
|
|
"guardrails": [
|
|
"nsfw-content-filter-english-only",
|
|
"nsfw-self-harm-filter-basic",
|
|
"nsfw-child-safety-filter-basic",
|
|
"nsfw-racial-bias-filter-basic"
|
|
],
|
|
"complexity": "Low",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "nsfw-content-filter-english-only",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks profanity, sexual content, slurs, and NSFW terms. Includes 485+ keywords covering explicit content, solicitation, sexual behavior, and exploitation."
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-self-harm-filter-basic",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_self_harm",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks content related to self-harm, suicide, and eating disorders"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-child-safety-filter-basic",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_child_safety",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks inappropriate content involving minors using identifier + block word combinations"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-racial-bias-filter-basic",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "bias_racial",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks racial and ethnic discrimination, hate speech, and supremacist content"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "nsfw-content-filter-basic",
|
|
"description": "Basic NSFW content filter. Blocks profanity, sexual content, inappropriate requests, self-harm content, child safety violations, and racial bias in English.",
|
|
"guardrails_add": [
|
|
"nsfw-content-filter-english-only",
|
|
"nsfw-self-harm-filter-basic",
|
|
"nsfw-child-safety-filter-basic",
|
|
"nsfw-racial-bias-filter-basic"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Content Safety"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "nsfw-content-filter-all-regions",
|
|
"title": "NSFW Content Filter (All Regions)",
|
|
"description": "Comprehensive multi-language NSFW content filtering. Blocks profanity, sexual content, inappropriate requests, self-harm content, and child safety violations in English, Spanish, French, German, and Australian. Best for global applications.",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-purple-500",
|
|
"iconBg": "bg-purple-50",
|
|
"guardrails": [
|
|
"nsfw-filter-english",
|
|
"nsfw-filter-spanish",
|
|
"nsfw-filter-french",
|
|
"nsfw-filter-german",
|
|
"nsfw-filter-australian",
|
|
"nsfw-self-harm-filter-global",
|
|
"nsfw-child-safety-filter-global",
|
|
"nsfw-racial-bias-filter-global"
|
|
],
|
|
"complexity": "High",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "nsfw-filter-english",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "English profanity, sexual content, slurs, and NSFW terms (485+ keywords)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-filter-spanish",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse_es",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Spanish profanity and offensive terms (68 keywords)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-filter-french",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse_fr",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "French profanity and offensive terms (91 keywords)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-filter-german",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse_de",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "German profanity and offensive terms (65 keywords)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-filter-australian",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harm_toxic_abuse_au",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Australian slang and profanity (32 keywords: root, perv, bogan, wanker, etc.)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-self-harm-filter-global",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_self_harm",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks content related to self-harm, suicide, and eating disorders"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-child-safety-filter-global",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "harmful_child_safety",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks inappropriate content involving minors using identifier + block word combinations"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "nsfw-racial-bias-filter-global",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "bias_racial",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks racial and ethnic discrimination, hate speech, and supremacist content"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "nsfw-content-filter-all-regions",
|
|
"description": "Comprehensive multi-language NSFW content filter. Blocks profanity, inappropriate content, self-harm, child safety violations, and racial bias in English, Spanish, French, German, and Australian. Total coverage: 741+ keywords across all languages plus self-harm, child safety, and racial bias protection.",
|
|
"guardrails_add": [
|
|
"nsfw-filter-english",
|
|
"nsfw-filter-spanish",
|
|
"nsfw-filter-french",
|
|
"nsfw-filter-german",
|
|
"nsfw-filter-australian",
|
|
"nsfw-self-harm-filter-global",
|
|
"nsfw-child-safety-filter-global",
|
|
"nsfw-racial-bias-filter-global"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Content Safety"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "gdpr-eu-pii-protection",
|
|
"title": "GDPR Art. 32 \u2014 EU PII Protection",
|
|
"description": "GDPR Article 32 compliance for EU personal data protection. Masks French national IDs (NIR/INSEE), EU IBANs, French phone numbers, EU VAT numbers, EU passport numbers, and email addresses. Suitable for applications processing EU citizen data requiring GDPR compliance.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-indigo-500",
|
|
"iconBg": "bg-indigo-50",
|
|
"guardrails": [
|
|
"gdpr-eu-national-identifiers",
|
|
"gdpr-eu-financial-data",
|
|
"gdpr-eu-contact-information",
|
|
"gdpr-eu-business-identifiers"
|
|
],
|
|
"complexity": "Medium",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "gdpr-eu-national-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "fr_nir",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "eu_passport_generic",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks EU national identification numbers including French NIR/INSEE and EU passport numbers for GDPR compliance"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "gdpr-eu-financial-data",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "eu_iban_enhanced",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "iban",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[IBAN_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks EU bank account numbers (IBANs) to protect financial data under GDPR Article 32"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "gdpr-eu-contact-information",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "email",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "fr_phone",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "fr_postal_code",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks contact information including emails, French phone numbers, and postal codes for EU data subjects"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "gdpr-eu-business-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "eu_vat",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[VAT_NUMBER_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks EU VAT identification numbers to protect business entity information under GDPR"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "gdpr-eu-pii-protection",
|
|
"description": "GDPR Article 32 compliance policy for EU personal data protection. Masks French national IDs, EU IBANs, phone numbers, VAT numbers, passports, and contact information.",
|
|
"guardrails_add": [
|
|
"gdpr-eu-national-identifiers",
|
|
"gdpr-eu-financial-data",
|
|
"gdpr-eu-contact-information",
|
|
"gdpr-eu-business-identifiers"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"PII Protection",
|
|
"Regulatory",
|
|
"EU"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "eu-ai-act-article5",
|
|
"title": "EU AI Act Article 5 \u2014 Prohibited Practices",
|
|
"description": "Comprehensive EU AI Act Article 5 compliance covering all prohibited AI practices. Includes 5 dedicated sub-guardrails per language (English + French) for: subliminal manipulation (Art. 5.1a), vulnerability exploitation (Art. 5.1b), social scoring (Art. 5.1c), emotion recognition in workplace/education (Art. 5.1f), and biometric categorization & predictive profiling (Art. 5.1d/g/h). Uses conditional matching (identifier word + context word).",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-red-500",
|
|
"iconBg": "bg-red-50",
|
|
"guardrails": [
|
|
"eu-ai-act-art5-manipulation",
|
|
"eu-ai-act-art5-vulnerability",
|
|
"eu-ai-act-art5-social-scoring",
|
|
"eu-ai-act-art5-emotion-recognition",
|
|
"eu-ai-act-art5-biometric-profiling",
|
|
"eu-ai-act-art5-manipulation-fr",
|
|
"eu-ai-act-art5-vulnerability-fr",
|
|
"eu-ai-act-art5-social-scoring-fr",
|
|
"eu-ai-act-art5-emotion-recognition-fr",
|
|
"eu-ai-act-art5-biometric-profiling-fr"
|
|
],
|
|
"complexity": "High",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-manipulation",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_manipulation",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_manipulation.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(a) \u2014 Blocks subliminal manipulation, deceptive AI techniques, dark patterns, and covert behavioral influence"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-vulnerability",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_vulnerability",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_vulnerability.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(b) \u2014 Blocks AI systems that exploit vulnerabilities of children, elderly, disabled persons, or economically disadvantaged groups"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-social-scoring",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_social_scoring",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_social_scoring.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(c) \u2014 Blocks social credit systems, citizen scoring, trustworthiness classification, and behavioral reputation scoring"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-emotion-recognition",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_emotion_recognition",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_emotion_recognition.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(f) \u2014 Blocks emotion recognition, mood tracking, and sentiment analysis in workplace and educational settings"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-biometric-profiling",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_biometric_profiling",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_biometric_profiling.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(d)(g)(h) \u2014 Blocks biometric categorization by race/ethnicity/religion/politics, facial recognition database scraping, and predictive policing"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-manipulation-fr",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_manipulation_fr",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_manipulation_fr.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(a) FR \u2014 Bloque la manipulation subliminale, les techniques d'IA trompeuses et les dark patterns (fran\u00e7ais)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-vulnerability-fr",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_vulnerability_fr",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_vulnerability_fr.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(b) FR \u2014 Bloque l'exploitation des vuln\u00e9rabilit\u00e9s des enfants, personnes \u00e2g\u00e9es et handicap\u00e9es (fran\u00e7ais)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-social-scoring-fr",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_social_scoring_fr",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_social_scoring_fr.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(c) FR \u2014 Bloque les syst\u00e8mes de cr\u00e9dit social, notation des citoyens et classification de fiabilit\u00e9 (fran\u00e7ais)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-emotion-recognition-fr",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_emotion_recognition_fr",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_emotion_recognition_fr.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(f) FR \u2014 Bloque la reconnaissance des \u00e9motions et l'analyse des sentiments au travail et dans l'\u00e9ducation (fran\u00e7ais)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "eu-ai-act-art5-biometric-profiling-fr",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "eu_ai_act_art5_biometric_profiling_fr",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_art5_biometric_profiling_fr.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Art. 5.1(d)(g)(h) FR \u2014 Bloque la cat\u00e9gorisation biom\u00e9trique, les bases de reconnaissance faciale et le profilage pr\u00e9dictif (fran\u00e7ais)"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "eu-ai-act-article5",
|
|
"description": "Comprehensive EU AI Act Article 5 compliance policy. Covers all prohibited AI practices across 5 sub-guardrails per language: subliminal manipulation (Art. 5.1a), vulnerability exploitation (Art. 5.1b), social scoring (Art. 5.1c), emotion recognition (Art. 5.1f), and biometric categorization & predictive profiling (Art. 5.1d/g/h). Includes English and French detection.",
|
|
"guardrails_add": [
|
|
"eu-ai-act-art5-manipulation",
|
|
"eu-ai-act-art5-vulnerability",
|
|
"eu-ai-act-art5-social-scoring",
|
|
"eu-ai-act-art5-emotion-recognition",
|
|
"eu-ai-act-art5-biometric-profiling",
|
|
"eu-ai-act-art5-manipulation-fr",
|
|
"eu-ai-act-art5-vulnerability-fr",
|
|
"eu-ai-act-art5-social-scoring-fr",
|
|
"eu-ai-act-art5-emotion-recognition-fr",
|
|
"eu-ai-act-art5-biometric-profiling-fr"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Regulatory",
|
|
"EU"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "mcp-security-unregistered-server-block",
|
|
"title": "MCP Security: Block Unregistered Servers",
|
|
"description": "Blocks requests that reference MCP servers not registered on this LiteLLM gateway. Prevents unauthorized tool access via unregistered MCP endpoints.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-red-500",
|
|
"iconBg": "bg-red-50",
|
|
"guardrails": [
|
|
"mcp-security-block"
|
|
],
|
|
"complexity": "Low",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "mcp-security-block",
|
|
"litellm_params": {
|
|
"guardrail": "mcp_security",
|
|
"mode": "pre_call",
|
|
"default_on": true,
|
|
"on_violation": "block"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks requests referencing MCP servers not in the gateway registry"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "mcp-security-unregistered-server-block",
|
|
"description": "Blocks requests referencing MCP servers not registered on this gateway.",
|
|
"guardrails_add": [
|
|
"mcp-security-block"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Security"
|
|
],
|
|
"estimated_latency_ms": 200
|
|
},
|
|
{
|
|
"id": "airline-passenger-data-protection-uae",
|
|
"title": "Airline Passenger Data Protection (UAE)",
|
|
"description": "Protects airline passenger PII including PNR/booking references, multi-national passport numbers, frequent flyer (Skywards) numbers, payment cards, IBANs, Emirates ID, UAE phone numbers, and email addresses. Designed for UAE-based airlines operating global routes.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-emerald-500",
|
|
"iconBg": "bg-emerald-50",
|
|
"guardrails": [
|
|
"airline-pnr-skywards-pii",
|
|
"airline-passport-multinational",
|
|
"airline-payment-financial",
|
|
"airline-contact-info-uae"
|
|
],
|
|
"complexity": "High",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "airline-pnr-skywards-pii",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "airline_pnr",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "skywards_number",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks airline PNR/booking references and Emirates Skywards frequent flyer numbers"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "airline-passport-multinational",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_us",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_uk",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_germany",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_france",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_india",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_china",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_australia",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_japan",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_canada",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_netherlands",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "uae_emirates_id",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks passport numbers from 10+ nationalities and UAE Emirates ID -- covers global route network"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "airline-payment-financial",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "credit_card",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "visa",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "mastercard",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "amex",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "iban",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks credit card numbers (Visa, Mastercard, Amex) and IBANs"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "airline-contact-info-uae",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "email",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "uae_phone",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "us_phone",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks email addresses and phone numbers (UAE and international formats)"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "airline-passenger-data-protection-uae",
|
|
"description": "Airline passenger data protection for UAE-based carriers. Masks PNR/booking references, Skywards numbers, multi-national passports, Emirates ID, payment cards, IBANs, and contact information.",
|
|
"guardrails_add": [
|
|
"airline-pnr-skywards-pii",
|
|
"airline-passport-multinational",
|
|
"airline-payment-financial",
|
|
"airline-contact-info-uae"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"PII Protection",
|
|
"Aviation",
|
|
"UAE"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "aviation-operations-security",
|
|
"title": "Aviation Operations Security",
|
|
"description": "Prevents AI from leaking flight operations data (flight numbers, crew schedules, gate assignments, aircraft tail numbers), generating content about aviation security vulnerabilities or bypass procedures, and producing unauthorized airline statements or fake incident reports.",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-red-500",
|
|
"iconBg": "bg-red-50",
|
|
"guardrails": [
|
|
"aviation-ops-data-protection",
|
|
"aviation-safety-topic-filter",
|
|
"airline-brand-protection-filter",
|
|
"competitor-name-input-blocker",
|
|
"competitor-name-output-blocker",
|
|
"competitor-recommendation-input-filter",
|
|
"competitor-recommendation-output-filter",
|
|
"competitor-comparison-input-filter",
|
|
"competitor-comparison-output-filter"
|
|
],
|
|
"complexity": "High",
|
|
"parameters": [
|
|
{
|
|
"name": "brand_name",
|
|
"label": "Your Airline / Brand Name",
|
|
"type": "text",
|
|
"required": true,
|
|
"placeholder": "e.g. Acme Airlines"
|
|
}
|
|
],
|
|
"llm_enrichment": {
|
|
"parameter": "brand_name",
|
|
"prompt": "List the top 30 direct competitors of {{brand_name}} in the airline industry. Include major international carriers, regional competitors, and low-cost carriers that operate on overlapping routes. Return ONLY airline/brand names, one per line, no numbering, no explanations.",
|
|
"result_key": "competitors"
|
|
},
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "aviation-ops-data-protection",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "flight_number",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "regex",
|
|
"name": "aircraft_tail_number",
|
|
"pattern": "\\bA6-[A-Z]{3}\\b|\\b[A-Z]-[A-Z]{4}\\b|\\bN[0-9]{1,5}[A-Z]{0,2}\\b",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"blocked_words": [
|
|
{
|
|
"keyword": "crew roster",
|
|
"action": "BLOCK",
|
|
"description": "Crew scheduling data"
|
|
},
|
|
{
|
|
"keyword": "crew schedule",
|
|
"action": "BLOCK",
|
|
"description": "Crew scheduling data"
|
|
},
|
|
{
|
|
"keyword": "duty roster",
|
|
"action": "BLOCK",
|
|
"description": "Staff duty data"
|
|
},
|
|
{
|
|
"keyword": "pilot roster",
|
|
"action": "BLOCK",
|
|
"description": "Pilot scheduling data"
|
|
},
|
|
{
|
|
"keyword": "cabin crew list",
|
|
"action": "BLOCK",
|
|
"description": "Crew manifest data"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks flight numbers and aircraft registrations. Blocks crew scheduling and gate assignment data leakage."
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "aviation-safety-topic-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "aviation_safety_topics",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/aviation_safety_topics.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks content about aircraft vulnerabilities, security bypass procedures, cockpit access, and aviation system exploitation"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "airline-brand-protection-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"categories": [
|
|
{
|
|
"category": "airline_brand_protection",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/airline_brand_protection.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
],
|
|
"blocked_words": [
|
|
{
|
|
"keyword": "{{brand_name}} plane crash",
|
|
"action": "BLOCK",
|
|
"description": "Fake crash report"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} flight crashed",
|
|
"action": "BLOCK",
|
|
"description": "Fake crash report"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} crash landing",
|
|
"action": "BLOCK",
|
|
"description": "Fake incident"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} emergency",
|
|
"action": "BLOCK",
|
|
"description": "Fake emergency"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} passengers dead",
|
|
"action": "BLOCK",
|
|
"description": "Fake fatality report"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} confirms fatalities",
|
|
"action": "BLOCK",
|
|
"description": "Fake fatality confirmation"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} safety scandal",
|
|
"action": "BLOCK",
|
|
"description": "Fake scandal"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} cover up",
|
|
"action": "BLOCK",
|
|
"description": "Fake coverup claim"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} fleet grounded",
|
|
"action": "BLOCK",
|
|
"description": "Fake grounding claim"
|
|
},
|
|
{
|
|
"keyword": "{{brand_name}} discrimination lawsuit",
|
|
"action": "BLOCK",
|
|
"description": "Fake lawsuit"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI-generated fake incident reports, unauthorized statements, and reputation-damaging content about your brand (runs on output)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-name-input-blocker",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitors_blocked_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user inputs that mention competitor names (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-name-output-blocker",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitors_blocked_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI outputs that mention competitor names (post_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-recommendation-input-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitor_recommendation_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user requests asking to recommend competitors (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-recommendation-output-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitor_recommendation_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI from recommending or suggesting competitor services (post_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-comparison-input-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitor_comparison_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user inputs requesting unfavorable brand comparisons (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-comparison-output-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitor_comparison_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI outputs with unfavorable brand comparisons (post_call)"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "aviation-operations-security",
|
|
"description": "Aviation operations security policy. Protects flight ops data, blocks aviation security vulnerability content, and prevents fake airline incident reports and unauthorized statements.",
|
|
"guardrails_add": [
|
|
"aviation-ops-data-protection",
|
|
"aviation-safety-topic-filter",
|
|
"airline-brand-protection-filter",
|
|
"competitor-name-input-blocker",
|
|
"competitor-name-output-blocker",
|
|
"competitor-recommendation-input-filter",
|
|
"competitor-recommendation-output-filter",
|
|
"competitor-comparison-input-filter",
|
|
"competitor-comparison-output-filter"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Aviation",
|
|
"Security"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "uae-regulatory-compliance",
|
|
"title": "UAE Regulatory Compliance",
|
|
"description": "Compliance with UAE Federal Decree-Law No. 45/2021 (Data Protection) and Federal Decree-Law No. 2/2015 (Anti-Discrimination). Protects Emirates ID numbers, UAE phone numbers, and ensures cultural sensitivity including royal family references and religious content policies.",
|
|
"icon": "CheckCircleIcon",
|
|
"iconColor": "text-blue-500",
|
|
"iconBg": "bg-blue-50",
|
|
"guardrails": [
|
|
"uae-data-protection-pii",
|
|
"uae-cultural-sensitivity-filter",
|
|
"uae-anti-discrimination-filter"
|
|
],
|
|
"complexity": "Medium",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "uae-data-protection-pii",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "uae_emirates_id",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "uae_phone",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "email",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "iban",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "credit_card",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "regex",
|
|
"name": "uae_po_box",
|
|
"pattern": "\\b[Pp]\\.?[Oo]\\.?\\s*[Bb]ox\\s*\\d{1,6}\\b",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "UAE Federal Decree-Law No. 45/2021 compliance -- masks Emirates ID, UAE phone numbers, email, IBAN, payment cards, and PO Box addresses"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "uae-cultural-sensitivity-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "uae_cultural_sensitivity",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/uae_cultural_sensitivity.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks content disrespecting UAE royal family, cultural norms, and religious sensitivities"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "uae-anti-discrimination-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "uae_anti_discrimination",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/uae_anti_discrimination.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "UAE Federal Decree-Law No. 2/2015 compliance -- blocks discriminatory content based on race, religion, caste, ethnicity, or nationality"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "uae-regulatory-compliance",
|
|
"description": "UAE regulatory compliance policy. Covers Federal Decree-Law No. 45/2021 (Data Protection) and Federal Decree-Law No. 2/2015 (Anti-Discrimination). Protects Emirates ID, UAE contact info, and ensures cultural and religious sensitivity.",
|
|
"guardrails_add": [
|
|
"uae-data-protection-pii",
|
|
"uae-cultural-sensitivity-filter",
|
|
"uae-anti-discrimination-filter"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Regulatory",
|
|
"UAE"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "competitor-mention-detection",
|
|
"title": "Competitor Mention Detection",
|
|
"description": "Automatically detects and blocks AI from recommending or promoting competitor brands. Uses LLM-powered discovery to identify your top competitors, then monitors both inputs and outputs for competitor mentions, referrals, and comparisons that could divert business.",
|
|
"icon": "ShieldExclamationIcon",
|
|
"iconColor": "text-orange-500",
|
|
"iconBg": "bg-orange-50",
|
|
"guardrails": [
|
|
"competitor-input-blocker",
|
|
"competitor-output-blocker",
|
|
"competitor-recommendation-input-filter",
|
|
"competitor-recommendation-output-filter",
|
|
"competitor-comparison-input-filter",
|
|
"competitor-comparison-output-filter"
|
|
],
|
|
"complexity": "Medium",
|
|
"parameters": [
|
|
{
|
|
"name": "brand_name",
|
|
"label": "Your Brand Name",
|
|
"type": "text",
|
|
"required": true,
|
|
"placeholder": "e.g. Acme Airlines"
|
|
}
|
|
],
|
|
"llm_enrichment": {
|
|
"parameter": "brand_name",
|
|
"prompt": "List the top 30 direct competitors of {{brand_name}} in the same industry. Return ONLY company/brand names, one per line, no numbering, no explanations.",
|
|
"result_key": "competitors"
|
|
},
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "competitor-input-blocker",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitors_blocked_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user inputs that mention competitor brands (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-output-blocker",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitors_blocked_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI outputs that mention competitor brands (post_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-recommendation-input-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitor_recommendation_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user requests asking to recommend competitors (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-recommendation-output-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitor_recommendation_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI from recommending or suggesting competitor services (post_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-comparison-input-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"blocked_words": "{{competitor_comparison_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks user inputs requesting unfavorable brand comparisons (pre_call)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "competitor-comparison-output-filter",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "post_call",
|
|
"blocked_words": "{{competitor_comparison_words}}"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Blocks AI outputs with unfavorable brand comparisons (post_call)"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "competitor-mention-detection",
|
|
"description": "Detects and blocks competitor mentions in both inputs and outputs. Uses LLM-powered competitor discovery based on your brand name.",
|
|
"guardrails_add": [
|
|
"competitor-input-blocker",
|
|
"competitor-output-blocker",
|
|
"competitor-recommendation-input-filter",
|
|
"competitor-recommendation-output-filter",
|
|
"competitor-comparison-input-filter",
|
|
"competitor-comparison-output-filter"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Brand Protection"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "pdpa-singapore",
|
|
"title": "Singapore PDPA \u2014 Personal Data Protection",
|
|
"description": "Singapore Personal Data Protection Act (PDPA) compliance. Covers 5 obligation areas: personal identifier collection (s.13 Consent), sensitive data profiling (Advisory Guidelines), Do Not Call Registry violations (Part IX), overseas data transfers (s.26), and automated profiling without human oversight (Model AI Governance Framework). Also includes regex-based PII detection for NRIC/FIN, Singapore phone numbers, postal codes, passports, UEN, and bank account numbers. Zero-cost keyword-based detection.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-red-500",
|
|
"iconBg": "bg-red-50",
|
|
"guardrails": [
|
|
"sg-pdpa-pii-identifiers",
|
|
"sg-pdpa-contact-information",
|
|
"sg-pdpa-financial-data",
|
|
"sg-pdpa-business-identifiers",
|
|
"sg-pdpa-personal-identifiers",
|
|
"sg-pdpa-sensitive-data",
|
|
"sg-pdpa-do-not-call",
|
|
"sg-pdpa-data-transfer",
|
|
"sg-pdpa-profiling-automated-decisions"
|
|
],
|
|
"complexity": "High",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "sg-pdpa-pii-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "sg_nric",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "passport_singapore",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks Singapore NRIC/FIN and passport numbers for PDPA compliance"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-contact-information",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "sg_phone",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "sg_postal_code",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "email",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks Singapore phone numbers, postal codes, and email addresses"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-financial-data",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "sg_bank_account",
|
|
"action": "MASK"
|
|
},
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "credit_card",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[{pattern_name}_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks Singapore bank account numbers and credit card numbers"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-business-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"patterns": [
|
|
{
|
|
"pattern_type": "prebuilt",
|
|
"pattern_name": "sg_uen",
|
|
"action": "MASK"
|
|
}
|
|
],
|
|
"pattern_redaction_format": "[UEN_REDACTED]"
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Masks Singapore Unique Entity Numbers (business registration)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-personal-identifiers",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_pdpa_personal_identifiers",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_pdpa_personal_identifiers.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "PDPA s.13 \u2014 Blocks unauthorized collection, harvesting, or extraction of Singapore personal identifiers (NRIC/FIN, SingPass, passports)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-sensitive-data",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_pdpa_sensitive_data",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_pdpa_sensitive_data.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "PDPA Advisory Guidelines \u2014 Blocks profiling or inference of sensitive personal data categories (race, religion, health, politics) for Singapore residents"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-do-not-call",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_pdpa_do_not_call",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_pdpa_do_not_call.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "PDPA Part IX \u2014 Blocks generation of unsolicited marketing lists and DNC Registry bypass attempts for Singapore phone numbers"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-data-transfer",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_pdpa_data_transfer",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_pdpa_data_transfer.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "PDPA s.26 \u2014 Blocks unprotected overseas transfer of Singapore personal data without adequate safeguards"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-pdpa-profiling-automated-decisions",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_pdpa_profiling_automated_decisions",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_pdpa_profiling_automated_decisions.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "PDPA + Model AI Governance Framework \u2014 Blocks automated profiling and decision-making about Singapore residents without human oversight"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "pdpa-singapore",
|
|
"description": "Singapore PDPA compliance policy. Covers personal identifier protection (s.13), sensitive data profiling (Advisory Guidelines), Do Not Call Registry (Part IX), overseas data transfers (s.26), and automated profiling (Model AI Governance Framework). Includes regex-based PII detection for NRIC/FIN, phone numbers, postal codes, passports, UEN, and bank accounts.",
|
|
"guardrails_add": [
|
|
"sg-pdpa-pii-identifiers",
|
|
"sg-pdpa-contact-information",
|
|
"sg-pdpa-financial-data",
|
|
"sg-pdpa-business-identifiers",
|
|
"sg-pdpa-personal-identifiers",
|
|
"sg-pdpa-sensitive-data",
|
|
"sg-pdpa-do-not-call",
|
|
"sg-pdpa-data-transfer",
|
|
"sg-pdpa-profiling-automated-decisions"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"PII Protection",
|
|
"Regulatory",
|
|
"Singapore"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
},
|
|
{
|
|
"id": "mas-ai-risk-management",
|
|
"title": "Singapore MAS \u2014 AI Risk Management for Financial Institutions",
|
|
"description": "Monetary Authority of Singapore (MAS) AI Risk Management for Financial Institutions alignment. Covers 5 enforceable obligation areas: fairness & bias in financial decisions, transparency & explainability of AI models, human oversight for consequential actions, data governance for financial customer data, and model security against adversarial attacks. Based on Guidelines on Artificial Intelligence Risk Management (MAS), and aligned with the 2018 FEAT Principles and Project MindForge. Zero-cost keyword-based detection.",
|
|
"icon": "ShieldCheckIcon",
|
|
"iconColor": "text-blue-600",
|
|
"iconBg": "bg-blue-50",
|
|
"guardrails": [
|
|
"sg-mas-fairness-bias",
|
|
"sg-mas-transparency-explainability",
|
|
"sg-mas-human-oversight",
|
|
"sg-mas-data-governance",
|
|
"sg-mas-model-security"
|
|
],
|
|
"complexity": "High",
|
|
"guardrailDefinitions": [
|
|
{
|
|
"guardrail_name": "sg-mas-fairness-bias",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_mas_fairness_bias",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_mas_fairness_bias.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) — Blocks discriminatory AI practices in financial services that score, deny, or price based on protected attributes (race, religion, age, gender, nationality)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-mas-transparency-explainability",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_mas_transparency_explainability",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_mas_transparency_explainability.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) — Blocks deployment of opaque or unexplainable AI systems for consequential financial decisions"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-mas-human-oversight",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_mas_human_oversight",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_mas_human_oversight.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) — Blocks fully automated financial AI decisions without human-in-the-loop for consequential actions (loans, claims, trading)"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-mas-data-governance",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_mas_data_governance",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_mas_data_governance.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) — Blocks unauthorized sharing, exposure, or mishandling of financial customer data without proper governance and data lineage"
|
|
}
|
|
},
|
|
{
|
|
"guardrail_name": "sg-mas-model-security",
|
|
"litellm_params": {
|
|
"guardrail": "litellm_content_filter",
|
|
"mode": "pre_call",
|
|
"categories": [
|
|
{
|
|
"category": "sg_mas_model_security",
|
|
"category_file": "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/sg_mas_model_security.yaml",
|
|
"enabled": true,
|
|
"action": "BLOCK",
|
|
"severity_threshold": "medium"
|
|
}
|
|
]
|
|
},
|
|
"guardrail_info": {
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) — Blocks adversarial attacks, model poisoning, inversion, and exfiltration attempts targeting financial AI systems"
|
|
}
|
|
}
|
|
],
|
|
"templateData": {
|
|
"policy_name": "mas-ai-risk-management",
|
|
"description": "Guidelines on Artificial Intelligence Risk Management (MAS) for Financial Institutions alignment. Covers fairness & bias, transparency & explainability, human oversight, data governance, and model security. Aligned with the 2018 FEAT Principles, Project MindForge, and NIST AI RMF.",
|
|
"guardrails_add": [
|
|
"sg-mas-fairness-bias",
|
|
"sg-mas-transparency-explainability",
|
|
"sg-mas-human-oversight",
|
|
"sg-mas-data-governance",
|
|
"sg-mas-model-security"
|
|
],
|
|
"guardrails_remove": []
|
|
},
|
|
"tags": [
|
|
"Financial Services",
|
|
"Regulatory",
|
|
"Singapore"
|
|
],
|
|
"estimated_latency_ms": 1
|
|
}
|
|
]
|