From ca94095e24d8653085939ddb4841ae47e6e5ecc3 Mon Sep 17 00:00:00 2001 From: Alejandro Tapia Date: Wed, 11 Feb 2026 17:31:05 -0800 Subject: [PATCH 01/30] playground-test-fallbacks: Added fallback testing as a toggle to ChatUI. Purposely fails first call, then attempts to use fallbacks. --- .../chat_ui/AdditionalModelSettings.test.tsx | 53 ++++++++++++++- .../chat_ui/AdditionalModelSettings.tsx | 18 +++++ .../playground/chat_ui/ChatUI.test.tsx | 64 ++++++++++++++++++ .../components/playground/chat_ui/ChatUI.tsx | 8 ++- .../llm_calls/chat_completion.test.tsx | 66 +++++++++++++++++++ .../playground/llm_calls/chat_completion.tsx | 2 + 6 files changed, 209 insertions(+), 2 deletions(-) diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.test.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.test.tsx index 9eebc38216..9cd5770997 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.test.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.test.tsx @@ -1,4 +1,4 @@ -import { render, screen, waitFor } from "@testing-library/react"; +import { act, render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import { describe, expect, it, vi } from "vitest"; import AdditionalModelSettings from "./AdditionalModelSettings"; @@ -47,4 +47,55 @@ describe("AdditionalModelSettings", () => { expect(temperatureSlider).not.toBeDisabled(); expect(maxTokensSlider).not.toBeDisabled(); }); + + it("should not show Simulate failure to test fallbacks when onMockTestFallbacksChange is not provided", () => { + render(); + expect(screen.queryByText(/Simulate failure to test fallbacks/i)).not.toBeInTheDocument(); + }); + + it("should show and toggle Simulate failure to test fallbacks when callback is provided", async () => { + const user = userEvent.setup(); + const onMockTestFallbacksChange = vi.fn(); + let currentValue = false; + const handleChange = (value: boolean) => { + currentValue = value; + onMockTestFallbacksChange(value); + }; + + const { rerender } = render( + , + ); + + const fallbacksCheckbox = screen.getByRole("checkbox", { + name: /Simulate failure to test fallbacks/i, + }); + expect(fallbacksCheckbox).toBeInTheDocument(); + expect(fallbacksCheckbox).not.toBeChecked(); + + await act(async () => { + await user.click(fallbacksCheckbox); + }); + + await waitFor(() => { + expect(onMockTestFallbacksChange).toHaveBeenCalledWith(true); + }); + + rerender( + , + ); + + await act(async () => { + await user.click(screen.getByRole("checkbox", { name: /Simulate failure to test fallbacks/i })); + }); + + await waitFor(() => { + expect(onMockTestFallbacksChange).toHaveBeenCalledWith(false); + }); + }); }); diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx index 8530750952..a5fadb813b 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx @@ -10,6 +10,8 @@ interface AdditionalModelSettingsProps { onTemperatureChange?: (value: number) => void; onMaxTokensChange?: (value: number) => void; onUseAdvancedParamsChange?: (value: boolean) => void; + mockTestFallbacks?: boolean; + onMockTestFallbacksChange?: (value: boolean) => void; } const AdditionalModelSettings: React.FC = ({ @@ -19,6 +21,8 @@ const AdditionalModelSettings: React.FC = ({ onTemperatureChange, onMaxTokensChange, onUseAdvancedParamsChange, + mockTestFallbacks, + onMockTestFallbacksChange, }) => { const [internalUseAdvancedParams, setInternalUseAdvancedParams] = useState(false); const useAdvancedParams = @@ -64,6 +68,20 @@ const AdditionalModelSettings: React.FC = ({ Use Advanced Parameters + {onMockTestFallbacksChange && ( + +
+ onMockTestFallbacksChange(e.target.checked)} + > + Simulate failure to test fallbacks + + +
+ + )} +
diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.test.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.test.tsx index 8d64d72718..e00f27c39f 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.test.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.test.tsx @@ -271,6 +271,70 @@ describe("ChatUI", () => { }); }); + it("should show Simulate failure to test fallbacks in Model Settings when chat endpoint is selected", async () => { + render( + , + ); + + await waitFor(() => { + expect(screen.getByText("Test Key")).toBeInTheDocument(); + }); + + // Model Settings button only appears when a chat model is selected; select "Model 1" first + const selectModelLabel = screen.getByText("Select Model"); + const modelSelectContainer = selectModelLabel.closest("div"); + const modelSelect = modelSelectContainer?.querySelector(".ant-select-selector"); + expect(modelSelect).toBeTruthy(); + + await act(async () => { + fireEvent.mouseDown(modelSelect!); + }); + + await waitFor(() => { + expect(screen.getAllByText("Model 1").length).toBeGreaterThan(0); + }); + + // Ant Design Select options may not have role="option"; click the dropdown option by text + const model1Options = screen.getAllByText("Model 1"); + await act(async () => { + fireEvent.click(model1Options[model1Options.length - 1]); + }); + + await waitFor(() => { + const modelSettingsButton = screen.getByTestId("model-settings-button"); + expect(modelSettingsButton).toBeInTheDocument(); + }); + + const modelSettingsButton = screen.getByTestId("model-settings-button"); + await act(async () => { + fireEvent.click(modelSettingsButton); + }); + + await waitFor(() => { + expect(screen.getByText("Model Settings")).toBeInTheDocument(); + expect(screen.getByText(/Simulate failure to test fallbacks/i)).toBeInTheDocument(); + }); + + const fallbacksCheckbox = screen.getByRole("checkbox", { + name: /Simulate failure to test fallbacks/i, + }); + expect(fallbacksCheckbox).not.toBeChecked(); + + await act(async () => { + fireEvent.click(fallbacksCheckbox); + }); + + await waitFor(() => { + expect(screen.getByRole("checkbox", { name: /Simulate failure to test fallbacks/i })).toBeChecked(); + }); + }); + it("should show Fill button and populate customProxyBaseUrl when proxySettings.LITELLM_UI_API_DOC_BASE_URL is provided", async () => { const testProxyUrl = "http://localhost:5000"; diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx index 92898c26bf..7e50ca6b95 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx @@ -229,6 +229,7 @@ const ChatUI: React.FC = ({ const [temperature, setTemperature] = useState(1.0); const [maxTokens, setMaxTokens] = useState(2048); const [useAdvancedParams, setUseAdvancedParams] = useState(false); + const [mockTestFallbacks, setMockTestFallbacks] = useState(false); // Code Interpreter state (using custom hook) const codeInterpreter = useCodeInterpreter(); @@ -982,6 +983,7 @@ const ChatUI: React.FC = ({ mcpServers, mcpServerToolRestrictions, handleMCPEvent, + mockTestFallbacks, ); } else if (endpointType === EndpointType.IMAGE) { // For image generation @@ -1401,6 +1403,8 @@ const ChatUI: React.FC = ({ onTemperatureChange={setTemperature} onMaxTokensChange={setMaxTokens} onUseAdvancedParamsChange={setUseAdvancedParams} + mockTestFallbacks={mockTestFallbacks} + onMockTestFallbacksChange={setMockTestFallbacks} /> } title="Model Settings" @@ -1412,6 +1416,8 @@ const ChatUI: React.FC = ({ size="small" icon={} className="text-gray-500 hover:text-gray-700" + aria-label="Model Settings" + data-testid="model-settings-button" /> ) : ( @@ -2390,7 +2396,7 @@ const ChatUI: React.FC = ({ setIsGetCodeModalVisible(false)} footer={null} width={800} diff --git a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.test.tsx b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.test.tsx index 8786e02201..8649834b31 100644 --- a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.test.tsx +++ b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.test.tsx @@ -190,4 +190,70 @@ describe("chat_completion", () => { expect(secondTool.require_approval).toBe("never"); expect(secondTool.allowed_tools).toEqual(["toolC"]); }); + + it("should include mock_testing_fallbacks in request body when mockTestFallbacks is true", async () => { + await makeOpenAIChatCompletionRequest( + mockChatHistory, + mockUpdateUI, + "gpt-4", + "test-token", + undefined, // tags + undefined, // signal + undefined, // onReasoningContent + undefined, // onTimingData + undefined, // onUsageData + undefined, // traceId + undefined, // vector_store_ids + undefined, // guardrails + undefined, // policies + undefined, // selectedMCPServers + undefined, // onImageGenerated + undefined, // onSearchResults + undefined, // temperature + undefined, // max_tokens + undefined, // onTotalLatency + undefined, // customBaseUrl + undefined, // mcpServers + undefined, // mcpServerToolRestrictions + undefined, // onMCPEvent + true, // mockTestFallbacks + ); + + expect(mockCreate).toHaveBeenCalledTimes(1); + const callArgs = mockCreate.mock.calls[0][0]; + expect(callArgs.mock_testing_fallbacks).toBe(true); + }); + + it("should not include mock_testing_fallbacks in request body when mockTestFallbacks is false or undefined", async () => { + await makeOpenAIChatCompletionRequest( + mockChatHistory, + mockUpdateUI, + "gpt-4", + "test-token", + undefined, // tags + undefined, // signal + undefined, // onReasoningContent + undefined, // onTimingData + undefined, // onUsageData + undefined, // traceId + undefined, // vector_store_ids + undefined, // guardrails + undefined, // policies + undefined, // selectedMCPServers + undefined, // onImageGenerated + undefined, // onSearchResults + undefined, // temperature + undefined, // max_tokens + undefined, // onTotalLatency + undefined, // customBaseUrl + undefined, // mcpServers + undefined, // mcpServerToolRestrictions + undefined, // onMCPEvent + false, // mockTestFallbacks + ); + + expect(mockCreate).toHaveBeenCalledTimes(1); + const callArgs = mockCreate.mock.calls[0][0]; + expect(callArgs).not.toHaveProperty("mock_testing_fallbacks"); + }); }); diff --git a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx index 61d232082e..048ea9bfa1 100644 --- a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx +++ b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx @@ -30,6 +30,7 @@ export async function makeOpenAIChatCompletionRequest( mcpServers?: MCPServer[], mcpServerToolRestrictions?: Record, onMCPEvent?: (event: MCPEvent) => void, + mockTestFallbacks?: boolean, ) { // base url should be the current base_url const isLocal = process.env.NODE_ENV === "development"; @@ -115,6 +116,7 @@ export async function makeOpenAIChatCompletionRequest( ...(tools.length > 0 ? { tools, tool_choice: "auto" } : {}), ...(temperature !== undefined ? { temperature } : {}), ...(max_tokens !== undefined ? { max_tokens } : {}), + ...(mockTestFallbacks ? { mock_testing_fallbacks: true } : {}), }, { signal }, ); From a36d7dcb81708e068709e40ac078fb7139266aed Mon Sep 17 00:00:00 2001 From: Alejandro Tapia Date: Mon, 16 Feb 2026 12:05:56 -0800 Subject: [PATCH 02/30] Tooltip removed and replaced with Popover (triggered by icon only), including url to router settings --- .../chat_ui/AdditionalModelSettings.tsx | 49 ++++++++++++++----- 1 file changed, 37 insertions(+), 12 deletions(-) diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx index a5fadb813b..6d5442fedc 100644 --- a/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx +++ b/ui/litellm-dashboard/src/components/playground/chat_ui/AdditionalModelSettings.tsx @@ -1,6 +1,6 @@ import { InfoCircleOutlined } from "@ant-design/icons"; import { Text } from "@tremor/react"; -import { Checkbox, InputNumber, Slider, Tooltip } from "antd"; +import { Checkbox, InputNumber, Popover, Slider, Tooltip, Typography } from "antd"; import React, { useEffect, useState } from "react"; interface AdditionalModelSettingsProps { @@ -69,17 +69,42 @@ const AdditionalModelSettings: React.FC = ({ {onMockTestFallbacksChange && ( - -
- onMockTestFallbacksChange(e.target.checked)} - > - Simulate failure to test fallbacks - - -
- +
+ onMockTestFallbacksChange(e.target.checked)} + > + Simulate failure to test fallbacks + + + + Causes the first request to fail so the router tries fallbacks (if configured). Use + this to verify your fallback setup. + + + Behavior can differ when keys, teams, or router settings are configured.{" "} + + Learn more + + +
+ } + > + + +
)}
From 9e8d1a2b4fa12228fea31bc59a43bde64a1e1405 Mon Sep 17 00:00:00 2001 From: Antti Puurula Date: Tue, 17 Feb 2026 11:15:37 +1300 Subject: [PATCH 03/30] Fix au.anthropic.claude opus 4 6 v1 (#20731) * Fix apac.anthropic.claude-opus-4-6-v1 -> au.anthropic.claude-opus-4-6-v1 * Add test for Australia region au. prefix (not apac.) --- ...odel_prices_and_context_window_backup.json | 2 +- model_prices_and_context_window.json | 2 +- .../test_claude_opus_4_6_config.py | 51 ++++++++++++++----- 3 files changed, 41 insertions(+), 14 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 2b6d280012..9ea9f39b1d 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -1083,7 +1083,7 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346 }, - "apac.anthropic.claude-opus-4-6-v1": { + "au.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05, "cache_read_input_token_cost": 5.5e-07, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 2b6d280012..9ea9f39b1d 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1083,7 +1083,7 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346 }, - "apac.anthropic.claude-opus-4-6-v1": { + "au.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05, "cache_read_input_token_cost": 5.5e-07, diff --git a/tests/test_litellm/test_claude_opus_4_6_config.py b/tests/test_litellm/test_claude_opus_4_6_config.py index 071d0a2636..6ccba580bc 100644 --- a/tests/test_litellm/test_claude_opus_4_6_config.py +++ b/tests/test_litellm/test_claude_opus_4_6_config.py @@ -8,6 +8,43 @@ import os import litellm +def test_opus_4_6_australia_region_uses_au_prefix_not_apac(): + """ + Test that Australia region uses 'au.' prefix instead of incorrect 'apac.' prefix. + + AWS Bedrock cross-region inference uses specific regional prefixes: + - 'us.' for United States + - 'eu.' for Europe + - 'au.' for Australia (ap-southeast-2) + - 'apac.' for Asia-Pacific (Singapore, ap-southeast-1) + + This test ensures the Claude Opus 4.6 model correctly uses 'au.' for Australia, + and that 'apac.' is NOT incorrectly used for Australia region. + + Related: The 'apac.' prefix is valid for Asia-Pacific (Singapore) region models, + but should not be used for Australia which has its own 'au.' prefix. + """ + json_path = os.path.join(os.path.dirname(__file__), "../../model_prices_and_context_window.json") + with open(json_path) as f: + model_data = json.load(f) + + # Verify au.anthropic.claude-opus-4-6-v1 exists (correct) + assert "au.anthropic.claude-opus-4-6-v1" in model_data, \ + "Missing Australia region model: au.anthropic.claude-opus-4-6-v1" + + # Verify apac.anthropic.claude-opus-4-6-v1 does NOT exist (incorrect) + assert "apac.anthropic.claude-opus-4-6-v1" not in model_data, \ + "Incorrect model entry exists: apac.anthropic.claude-opus-4-6-v1 should be au.anthropic.claude-opus-4-6-v1" + + # Verify the au. model is registered in bedrock_converse_models + assert "au.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models, \ + "au.anthropic.claude-opus-4-6-v1 not registered in bedrock_converse_models" + + # Verify apac. is NOT registered for this model + assert "apac.anthropic.claude-opus-4-6-v1" not in litellm.bedrock_converse_models, \ + "apac.anthropic.claude-opus-4-6-v1 should not be in bedrock_converse_models" + + def test_opus_4_6_model_pricing_and_capabilities(): json_path = os.path.join(os.path.dirname(__file__), "../../model_prices_and_context_window.json") with open(json_path) as f: @@ -112,17 +149,7 @@ def test_opus_4_6_bedrock_regional_model_pricing(): "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05, "cache_read_input_token_cost_above_200k_tokens": 1.1e-06, }, - "apac.anthropic.claude-opus-4-6-v1": { - "input_cost_per_token": 5.5e-06, - "output_cost_per_token": 2.75e-05, - "cache_creation_input_token_cost": 6.875e-06, - "cache_read_input_token_cost": 5.5e-07, - "input_cost_per_token_above_200k_tokens": 1.1e-05, - "output_cost_per_token_above_200k_tokens": 4.125e-05, - "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05, - "cache_read_input_token_cost_above_200k_tokens": 1.1e-06, - }, - "apac.anthropic.claude-opus-4-6-v1": { + "au.anthropic.claude-opus-4-6-v1": { "input_cost_per_token": 5.5e-06, "output_cost_per_token": 2.75e-05, "cache_creation_input_token_cost": 6.875e-06, @@ -180,4 +207,4 @@ def test_opus_4_6_bedrock_converse_registration(): assert "global.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models assert "us.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models assert "eu.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models - assert "apac.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models + assert "au.anthropic.claude-opus-4-6-v1" in litellm.bedrock_converse_models From 1a8525d02a4714a0043e7a376449bf2748ce81ef Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Mon, 16 Feb 2026 15:28:46 -0800 Subject: [PATCH 04/30] Add GDPR Art. 32 EU PII Protection Policy Template (#21340) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add 6 new EU PII patterns for GDPR compliance - fr_nir: French Social Security Number (NIR/INSEE) with validation - eu_iban_enhanced: Enhanced IBAN detection with specific format - fr_phone: French phone numbers (+33, 0033, 0 formats) - eu_vat: EU VAT identification numbers (all 27 member states) - eu_passport_generic: Generic EU passport format - fr_postal_code: French postal codes with contextual keywords * Add GDPR Art. 32 EU PII Protection policy template - Comprehensive GDPR Article 32 compliance policy - 4 guardrail groups: National IDs, Financial, Contact Info, Business IDs - Masks French NIR/INSEE, EU IBANs, French phones, EU VAT numbers - Includes EU passport numbers and email addresses - Medium complexity template with indigo icon * Add comprehensive tests for EU PII patterns - Test French NIR validation (sex digit, month range) - Test enhanced IBAN detection (French, German) - Test French phone number formats - Test EU VAT numbers - Test generic EU passport format - Test French postal code pattern * Add EU pattern loading and category validation tests - Verify all 6 EU PII patterns are loaded correctly - Verify patterns are categorized as 'EU PII Patterns' - Ensure pattern loading consistency * Add end-to-end tests for GDPR policy template - 4 tests for PII that should be masked (NIR, IBAN, phone, VAT) - 4 tests for text that should pass through (invalid patterns, no PII) - 1 bonus test for multiple PII types in same message - All tests verify correct masking behavior * Add region field to policy templates - Added region field to all 6 templates (EU, AU, Global) - Updated both main and backup JSON files - Enables region-based filtering in UI * Add region filter to policy templates UI - Added Radio.Group filter for regions (All, AU, EU, Global) - Efficient filtering with useMemo hooks - Clean button-based UI matching existing design - Defaults missing regions to Global * Apply suggestion from @greptile-apps[bot] Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Address Greptile review: add contextual guards and negative tests - Added keyword_pattern to eu_vat (VAT, tax number, fiscal code, etc.) - Added keyword_pattern to eu_passport_generic (passport, travel document, etc.) - Added 3 negative unit tests for false positive prevention - Added 2 E2E tests verifying no masking without keyword context - All patterns now require contextual keywords to prevent false positives * address greptile review feedback (greploop iteration 1) - Remove unused HTTPException import from test file - Add keyword_pattern to eu_vat for contextual VAT matching - Add allow_word_numbers: false to eu_passport_generic - Add negative test cases for EU VAT false positives - All 5 Greptile comments addressed * Address Greptile feedback: fix patterns and sync backup - Fix fr_phone pattern: use negative lookbehind (? * Update litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --- litellm/integrations/custom_guardrail.py | 8 + litellm/policy_templates_backup.json | 482 +++++++++++++++--- .../out/{404.html => 404/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{budgets.html => budgets/index.html} | 0 .../{caching.html => caching/index.html} | 0 .../index.html} | 0 .../{old-usage.html => old-usage/index.html} | 0 .../{prompts.html => prompts/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{login.html => login/index.html} | 0 .../out/{logs.html => logs/index.html} | 0 .../{callback.html => callback/index.html} | 0 .../{model-hub.html => model-hub/index.html} | 0 .../{model_hub.html => model_hub/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{policies.html => policies/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{ui-theme.html => ui-theme/index.html} | 0 .../out/{teams.html => teams/index.html} | 0 .../{test-key.html => test-key/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{usage.html => usage/index.html} | 0 .../out/{users.html => users/index.html} | 0 .../index.html} | 0 .../litellm_content_filter/__init__.py | 2 + .../litellm_content_filter/content_filter.py | 93 +++- .../litellm_content_filter/patterns.json | 48 ++ litellm/types/guardrails.py | 1 + litellm/types/utils.py | 42 ++ policy_templates.json | 94 ++++ .../integrations/test_custom_guardrail.py | 97 ++++ .../content_filter/test_content_filter.py | 212 ++++++++ .../content_filter/test_eu_patterns.py | 90 ++++ .../content_filter/test_gdpr_policy_e2e.py | 293 +++++++++++ .../content_filter/test_patterns.py | 25 +- ui/litellm-dashboard/package-lock.json | 215 +++----- .../components/policies/policy_templates.tsx | 32 +- .../GuardrailViewer/GuardrailViewer.tsx | 222 +++++++- 49 files changed, 1727 insertions(+), 229 deletions(-) rename litellm/proxy/_experimental/out/{404.html => 404/index.html} (100%) rename litellm/proxy/_experimental/out/{_not-found.html => _not-found/index.html} (100%) rename litellm/proxy/_experimental/out/{api-reference.html => api-reference/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{api-playground.html => api-playground/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{budgets.html => budgets/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{caching.html => caching/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{claude-code-plugins.html => claude-code-plugins/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{old-usage.html => old-usage/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{prompts.html => prompts/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{tag-management.html => tag-management/index.html} (100%) rename litellm/proxy/_experimental/out/{guardrails.html => guardrails/index.html} (100%) rename litellm/proxy/_experimental/out/{login.html => login/index.html} (100%) rename litellm/proxy/_experimental/out/{logs.html => logs/index.html} (100%) rename litellm/proxy/_experimental/out/mcp/oauth/{callback.html => callback/index.html} (100%) rename litellm/proxy/_experimental/out/{model-hub.html => model-hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub.html => model_hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub_table.html => model_hub_table/index.html} (100%) rename litellm/proxy/_experimental/out/{models-and-endpoints.html => models-and-endpoints/index.html} (100%) rename litellm/proxy/_experimental/out/{onboarding.html => onboarding/index.html} (100%) rename litellm/proxy/_experimental/out/{organizations.html => organizations/index.html} (100%) rename litellm/proxy/_experimental/out/{playground.html => playground/index.html} (100%) rename litellm/proxy/_experimental/out/{policies.html => policies/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{admin-settings.html => admin-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{logging-and-alerts.html => logging-and-alerts/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{router-settings.html => router-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{ui-theme.html => ui-theme/index.html} (100%) rename litellm/proxy/_experimental/out/{teams.html => teams/index.html} (100%) rename litellm/proxy/_experimental/out/{test-key.html => test-key/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{mcp-servers.html => mcp-servers/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{vector-stores.html => vector-stores/index.html} (100%) rename litellm/proxy/_experimental/out/{usage.html => usage/index.html} (100%) rename litellm/proxy/_experimental/out/{users.html => users/index.html} (100%) rename litellm/proxy/_experimental/out/{virtual-keys.html => virtual-keys/index.html} (100%) create mode 100644 tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_eu_patterns.py create mode 100644 tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_gdpr_policy_e2e.py diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py index 0b7b95e7bb..a8f1ba7ced 100644 --- a/litellm/integrations/custom_guardrail.py +++ b/litellm/integrations/custom_guardrail.py @@ -26,6 +26,7 @@ from litellm.types.utils import ( CallTypes, GenericGuardrailAPIInputs, GuardrailStatus, + GuardrailTracingDetail, LLMResponseTypes, StandardLoggingGuardrailInformation, ) @@ -520,9 +521,15 @@ class CustomGuardrail(CustomLogger): masked_entity_count: Optional[Dict[str, int]] = None, guardrail_provider: Optional[str] = None, event_type: Optional[GuardrailEventHooks] = None, + tracing_detail: Optional[GuardrailTracingDetail] = None, ) -> None: """ Builds `StandardLoggingGuardrailInformation` and adds it to the request metadata so it can be used for logging to DataDog, Langfuse, etc. + + Args: + tracing_detail: Optional typed dict with provider-specific tracing fields + (guardrail_id, policy_template, detection_method, confidence_score, + classification, match_details, patterns_checked, alert_recipients). """ if isinstance(guardrail_json_response, Exception): guardrail_json_response = str(guardrail_json_response) @@ -559,6 +566,7 @@ class CustomGuardrail(CustomLogger): end_time=end_time, duration=duration, masked_entity_count=masked_entity_count, + **(tracing_detail or {}), ) def _append_guardrail_info(container: dict) -> None: diff --git a/litellm/policy_templates_backup.json b/litellm/policy_templates_backup.json index a0ffd6acd3..b4869cc70d 100644 --- a/litellm/policy_templates_backup.json +++ b/litellm/policy_templates_backup.json @@ -3,6 +3,7 @@ "id": "advanced-au-pii-protection", "title": "Advanced PII Protection (Australia)", "description": "Protects Australian-specific identifiers, international employee data, financial information, credentials, protected class information, and industry-specific sensitive data.", + "region": "AU", "icon": "ShieldCheckIcon", "iconColor": "text-purple-500", "iconBg": "bg-purple-50", @@ -70,22 +71,86 @@ "guardrail": "litellm_content_filter", "mode": "pre_call", "patterns": [ - {"pattern_type": "prebuilt", "pattern_name": "us_ssn", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "us_ssn_no_dash", "action": "MASK"}, - {"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_netherlands", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "nl_bsn_contextual", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "passport_china", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "passport_india", "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": "br_cpf", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_cpf_unformatted", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_rg", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_cnpj", "action": "MASK"} + { + "pattern_type": "prebuilt", + "pattern_name": "us_ssn", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "us_ssn_no_dash", + "action": "MASK" + }, + { + "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_netherlands", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "nl_bsn_contextual", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "passport_china", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "passport_india", + "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": "br_cpf", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_cpf_unformatted", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_rg", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_cnpj", + "action": "MASK" + } ], "pattern_redaction_format": "[{pattern_name}_REDACTED]" }, @@ -99,12 +164,36 @@ "guardrail": "litellm_content_filter", "mode": "pre_call", "patterns": [ - {"pattern_type": "prebuilt", "pattern_name": "email", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "us_phone", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_phone_landline", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_phone_mobile", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "street_address", "action": "MASK"}, - {"pattern_type": "prebuilt", "pattern_name": "br_cep", "action": "MASK"} + { + "pattern_type": "prebuilt", + "pattern_name": "email", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "us_phone", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_phone_landline", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_phone_mobile", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "street_address", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "br_cep", + "action": "MASK" + } ], "pattern_redaction_format": "[{pattern_name}_REDACTED]" }, @@ -118,12 +207,36 @@ "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_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]" }, @@ -137,11 +250,31 @@ "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_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]" }, @@ -155,8 +288,16 @@ "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_type": "prebuilt", + "pattern_name": "ipv4", + "action": "MASK" + }, + { + "pattern_type": "prebuilt", + "pattern_name": "ipv6", + "action": "MASK" + } ], "pattern_redaction_format": "[INTERNAL_IP_REDACTED]" }, @@ -170,14 +311,46 @@ "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_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]" }, @@ -206,6 +379,7 @@ "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.", + "region": "Global", "icon": "ShieldCheckIcon", "iconColor": "text-blue-500", "iconBg": "bg-blue-50", @@ -222,13 +396,27 @@ "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_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_info": { + "description": "Masks Australian Tax File Numbers, Business Numbers, and Medicare Numbers" + } }, { "guardrail_name": "credentials-api-keys", @@ -236,15 +424,37 @@ "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_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_info": { + "description": "Blocks requests containing API keys and credentials (AWS, GitHub, Slack)" + } }, { "guardrail_name": "financial-pii", @@ -252,16 +462,42 @@ "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_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_info": { + "description": "Masks financial information including credit cards and bank account numbers" + } } ], "templateData": { @@ -279,6 +515,7 @@ "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.", + "region": "AU", "icon": "ShieldExclamationIcon", "iconColor": "text-red-500", "iconBg": "bg-red-50", @@ -399,6 +636,7 @@ "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.", + "region": "Global", "icon": "ShieldExclamationIcon", "iconColor": "text-orange-500", "iconBg": "bg-orange-50", @@ -499,6 +737,7 @@ "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.", + "region": "Global", "icon": "ShieldExclamationIcon", "iconColor": "text-purple-500", "iconBg": "bg-purple-50", @@ -674,5 +913,126 @@ ], "guardrails_remove": [] } + }, + { + "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.", + "region": "EU", + "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": [] + } } -] +] \ No newline at end of file diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404/index.html similarity index 100% rename from litellm/proxy/_experimental/out/404.html rename to litellm/proxy/_experimental/out/404/index.html diff --git a/litellm/proxy/_experimental/out/_not-found.html b/litellm/proxy/_experimental/out/_not-found/index.html similarity index 100% rename from litellm/proxy/_experimental/out/_not-found.html rename to litellm/proxy/_experimental/out/_not-found/index.html diff --git a/litellm/proxy/_experimental/out/api-reference.html b/litellm/proxy/_experimental/out/api-reference/index.html similarity index 100% rename from litellm/proxy/_experimental/out/api-reference.html rename to litellm/proxy/_experimental/out/api-reference/index.html diff --git a/litellm/proxy/_experimental/out/experimental/api-playground.html b/litellm/proxy/_experimental/out/experimental/api-playground/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/api-playground.html rename to litellm/proxy/_experimental/out/experimental/api-playground/index.html diff --git a/litellm/proxy/_experimental/out/experimental/budgets.html b/litellm/proxy/_experimental/out/experimental/budgets/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/budgets.html rename to litellm/proxy/_experimental/out/experimental/budgets/index.html diff --git a/litellm/proxy/_experimental/out/experimental/caching.html b/litellm/proxy/_experimental/out/experimental/caching/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/caching.html rename to 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litellm/proxy/_experimental/out/tools/vector-stores/index.html diff --git a/litellm/proxy/_experimental/out/usage.html b/litellm/proxy/_experimental/out/usage/index.html similarity index 100% rename from litellm/proxy/_experimental/out/usage.html rename to litellm/proxy/_experimental/out/usage/index.html diff --git a/litellm/proxy/_experimental/out/users.html b/litellm/proxy/_experimental/out/users/index.html similarity index 100% rename from litellm/proxy/_experimental/out/users.html rename to litellm/proxy/_experimental/out/users/index.html diff --git a/litellm/proxy/_experimental/out/virtual-keys.html b/litellm/proxy/_experimental/out/virtual-keys/index.html similarity index 100% rename from litellm/proxy/_experimental/out/virtual-keys.html rename to litellm/proxy/_experimental/out/virtual-keys/index.html diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/__init__.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/__init__.py index ec6fc53d3c..32883f0ce9 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/__init__.py +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/__init__.py @@ -33,6 +33,8 @@ def initialize_guardrail( content_filter_guardrail = ContentFilterGuardrail( guardrail_name=guardrail_name, + guardrail_id=guardrail.get("guardrail_id"), + policy_template=guardrail.get("policy_template"), patterns=litellm_params.patterns, blocked_words=litellm_params.blocked_words, blocked_words_file=litellm_params.blocked_words_file, diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py index 55fbd54bc8..e5524e419a 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py @@ -10,8 +10,19 @@ import json import os import re from datetime import datetime -from typing import (TYPE_CHECKING, Any, AsyncGenerator, Dict, List, Literal, - Optional, Pattern, Tuple, Union, cast) +from typing import ( + TYPE_CHECKING, + Any, + AsyncGenerator, + Dict, + List, + Literal, + Optional, + Pattern, + Tuple, + Union, + cast, +) import yaml from fastapi import HTTPException @@ -20,18 +31,26 @@ from litellm import Router from litellm._logging import verbose_proxy_logger from litellm.integrations.custom_guardrail import CustomGuardrail from litellm.proxy._types import UserAPIKeyAuth -from litellm.types.utils import ModelResponseStream +from litellm.types.utils import GuardrailTracingDetail, ModelResponseStream if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj from litellm.types.utils import GenericGuardrailAPIInputs, GuardrailStatus -from litellm.types.guardrails import (BlockedWord, ContentFilterAction, - ContentFilterPattern, - GuardrailEventHooks, Mode) +from litellm.types.guardrails import ( + BlockedWord, + ContentFilterAction, + ContentFilterPattern, + GuardrailEventHooks, + Mode, +) from litellm.types.proxy.guardrails.guardrail_hooks.litellm_content_filter import ( - BlockedWordDetection, CategoryKeywordDetection, - ContentFilterCategoryConfig, ContentFilterDetection, PatternDetection) + BlockedWordDetection, + CategoryKeywordDetection, + ContentFilterCategoryConfig, + ContentFilterDetection, + PatternDetection, +) from .patterns import PATTERN_EXTRA_CONFIG, get_compiled_pattern @@ -114,6 +133,8 @@ class ContentFilterGuardrail(CustomGuardrail): def __init__( self, guardrail_name: Optional[str] = None, + guardrail_id: Optional[str] = None, + policy_template: Optional[str] = None, patterns: Optional[List[ContentFilterPattern]] = None, blocked_words: Optional[List[BlockedWord]] = None, blocked_words_file: Optional[str] = None, @@ -158,6 +179,8 @@ class ContentFilterGuardrail(CustomGuardrail): ) self.guardrail_provider = "litellm_content_filter" + self.config_guardrail_id = guardrail_id + self.config_policy_template = policy_template self.pattern_redaction_format = ( pattern_redaction_format or self.PATTERN_REDACTION_FORMAT ) @@ -1308,6 +1331,48 @@ class ContentFilterGuardrail(CustomGuardrail): masked_entity_count.get(category, 0) + 1 ) + def _build_match_details( + self, detections: List[ContentFilterDetection] + ) -> List[dict]: + """Build match_details list from content filter detections.""" + match_details: List[dict] = [] + for detection in detections: + detail: dict = {"type": detection["type"], "action_taken": detection["action"]} + if detection["type"] == "pattern": + detail["detection_method"] = "regex" + detail["snippet"] = cast(PatternDetection, detection).get("pattern_name", "") + elif detection["type"] == "blocked_word": + detail["detection_method"] = "keyword" + detail["snippet"] = cast(BlockedWordDetection, detection).get("keyword", "") + elif detection["type"] == "category_keyword": + detail["detection_method"] = "keyword" + cat_det = cast(CategoryKeywordDetection, detection) + detail["snippet"] = cat_det.get("keyword", "") + detail["category"] = cat_det.get("category", "") + match_details.append(detail) + return match_details + + def _get_detection_methods(self, detections: List[ContentFilterDetection]) -> str: + """Get comma-separated detection methods used.""" + methods: set = set() + for detection in detections: + if detection["type"] == "pattern": + methods.add("regex") + else: + methods.add("keyword") + return ",".join(sorted(methods)) if methods else "" + + def _get_patterns_checked_count(self) -> int: + """Get total number of patterns and keywords that were evaluated.""" + return len(self.compiled_patterns) + len(self.blocked_words) + len(self.category_keywords) + + def _get_policy_templates(self) -> Optional[str]: + """Get comma-separated policy template names from loaded categories.""" + if not self.loaded_categories: + return None + names = [cat.description or cat.category_name for cat in self.loaded_categories.values()] + return ", ".join(names) if names else None + def _log_guardrail_information( self, request_data: dict, @@ -1348,6 +1413,13 @@ class ContentFilterGuardrail(CustomGuardrail): end_time=datetime.now().timestamp(), duration=(datetime.now() - start_time).total_seconds(), masked_entity_count=masked_entity_count, + tracing_detail=GuardrailTracingDetail( + guardrail_id=self.config_guardrail_id or self.guardrail_name, + policy_template=self.config_policy_template or self._get_policy_templates(), + detection_method=self._get_detection_methods(detections) if detections else None, + match_details=self._build_match_details(detections) if detections else None, + patterns_checked=self._get_patterns_checked_count(), + ), ) async def apply_guardrail( @@ -1518,7 +1590,8 @@ class ContentFilterGuardrail(CustomGuardrail): @staticmethod def get_config_model(): - from litellm.types.proxy.guardrails.guardrail_hooks.litellm_content_filter import \ - LitellmContentFilterGuardrailConfigModel + from litellm.types.proxy.guardrails.guardrail_hooks.litellm_content_filter import ( + LitellmContentFilterGuardrailConfigModel, + ) return LitellmContentFilterGuardrailConfigModel diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/patterns.json b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/patterns.json index f4ad9c53a3..8bb231102a 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/patterns.json +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/patterns.json @@ -398,6 +398,54 @@ "category": "Payment Card Patterns", "description": "Detects IBANs (2 letter country code + 2 check digits + 4 char bank code + 7 digit base + optional 0-16 alphanumeric)" }, + { + "name": "fr_nir", + "display_name": "NIR/INSEE (French Social Security Number)", + "pattern": "\\b[12][0-9]{2}(0[1-9]|1[0-2])[0-9]{2}[0-9]{3}[0-9]{3}[0-9]{2}\\b", + "category": "EU PII Patterns", + "description": "Detects French National Identification Number (Numéro d'Inscription au Répertoire) - 15 digits with specific format: sex + year + month + department + commune + order + key" + }, + { + "name": "eu_iban_enhanced", + "display_name": "IBAN (Enhanced EU Format)", + "pattern": "\\b[A-Z]{2}[0-9]{2}[A-Z0-9]{4}[0-9]{7}[A-Z0-9]{0,16}\\b", + "category": "EU PII Patterns", + "description": "Enhanced IBAN detection with more specific format validation (2 letter country + 2 check digits + 4 char bank code + 7 digit account base + optional 0-16 alphanumeric)" + }, + { + "name": "fr_phone", + "display_name": "Phone Number (France)", + "pattern": "(?= 2 # at least 1 pattern + 1 keyword + + # match_details + assert isinstance(slg["match_details"], list) + assert len(slg["match_details"]) >= 2 + methods = {d["detection_method"] for d in slg["match_details"]} + assert "regex" in methods + assert "keyword" in methods + + @pytest.mark.asyncio + async def test_tracing_fields_fallback_when_no_config_id(self): + """guardrail_id falls back to guardrail_name when config id not provided.""" + patterns = [ + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="us_ssn", + action=ContentFilterAction.MASK, + ), + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="fallback-test", + patterns=patterns, + ) + + request_data = { + "messages": [{"role": "user", "content": "Test"}], + "model": "gpt-4o", + "metadata": {}, + } + + await guardrail.apply_guardrail( + inputs={"texts": ["SSN: 123-45-6789"]}, + request_data=request_data, + input_type="request", + ) + + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert slg["guardrail_id"] == "fallback-test" + assert slg.get("policy_template") is None # no categories loaded + assert slg["detection_method"] == "regex" + assert slg["patterns_checked"] >= 1 + + @pytest.mark.asyncio + async def test_tracing_fields_with_category_keywords(self): + """Tracing fields populated correctly when category keywords trigger detections.""" + categories = [ + ContentFilterCategoryConfig( + category="harm_toxic_abuse", + enabled=True, + action=ContentFilterAction.MASK, + ), + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="category-tracing", + guardrail_id="gd-cat-001", + categories=categories, + ) + + request_data = { + "messages": [{"role": "user", "content": "Test"}], + "model": "gpt-4o", + "metadata": {}, + } + + # Use a word from the harm_toxic_abuse category + await guardrail.apply_guardrail( + inputs={"texts": ["You are an idiot and stupid"]}, + request_data=request_data, + input_type="request", + ) + + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert slg["guardrail_id"] == "gd-cat-001" + assert slg["patterns_checked"] >= 1 # category keywords counted + + if slg.get("match_details"): + # If detections happened, verify category info + cat_matches = [d for d in slg["match_details"] if d.get("category")] + for m in cat_matches: + assert m["detection_method"] == "keyword" + + @pytest.mark.asyncio + async def test_tracing_fields_on_blocked_request(self): + """Tracing fields populated even when request is blocked.""" + patterns = [ + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="us_ssn", + action=ContentFilterAction.BLOCK, + ), + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="block-tracing", + guardrail_id="gd-block-001", + policy_template="SSN Protection", + patterns=patterns, + ) + + request_data = { + "messages": [{"role": "user", "content": "Test"}], + "model": "gpt-4o", + "metadata": {}, + } + + with pytest.raises(HTTPException): + await guardrail.apply_guardrail( + inputs={"texts": ["SSN: 123-45-6789"]}, + request_data=request_data, + input_type="request", + ) + + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert slg["guardrail_id"] == "gd-block-001" + assert slg["policy_template"] == "SSN Protection" + assert slg["guardrail_status"] == "guardrail_intervened" + assert slg["patterns_checked"] >= 1 + + @pytest.mark.asyncio + async def test_tracing_fields_no_detections(self): + """When no detections occur, tracing fields still populated with metadata.""" + patterns = [ + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="email", + action=ContentFilterAction.MASK, + ), + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="clean-tracing", + guardrail_id="gd-clean-001", + policy_template="Email Protection", + patterns=patterns, + ) + + request_data = { + "messages": [{"role": "user", "content": "Test"}], + "model": "gpt-4o", + "metadata": {}, + } + + await guardrail.apply_guardrail( + inputs={"texts": ["Hello world, no sensitive content here"]}, + request_data=request_data, + input_type="request", + ) + + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert slg["guardrail_id"] == "gd-clean-001" + assert slg["policy_template"] == "Email Protection" + assert slg["guardrail_status"] == "success" + assert slg["patterns_checked"] >= 1 + # No detections, so these should be None + assert slg.get("detection_method") is None + assert slg.get("match_details") is None diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_eu_patterns.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_eu_patterns.py new file mode 100644 index 0000000000..85bc3fd148 --- /dev/null +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_eu_patterns.py @@ -0,0 +1,90 @@ +from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.patterns import ( + get_compiled_pattern, +) + + +class TestFrenchNIR: + """Test French NIR/INSEE detection""" + + def test_valid_nir_detected(self): + pattern = get_compiled_pattern("fr_nir") + # Valid NIR: sex=1, year=92, month=05, dept=75, commune=123, order=456, key=78 + assert pattern.search("192057512345678") is not None + assert pattern.search("292057512345678") is not None # Female + + def test_invalid_month_rejected(self): + pattern = get_compiled_pattern("fr_nir") + assert pattern.search("192137512345678") is None # Month 13 + assert pattern.search("192007512345678") is None # Month 00 + + def test_invalid_sex_digit_rejected(self): + pattern = get_compiled_pattern("fr_nir") + assert pattern.search("392057512345678") is None # Sex digit 3 + + +class TestEUIBANEnhanced: + """Test enhanced EU IBAN detection""" + + def test_french_iban(self): + pattern = get_compiled_pattern("eu_iban_enhanced") + assert pattern.search("FR7630006000011234567890189") is not None + + def test_german_iban(self): + pattern = get_compiled_pattern("eu_iban_enhanced") + assert pattern.search("DE89370400440532013000") is not None + + +class TestFrenchPhone: + """Test French phone number detection""" + + def test_formats(self): + pattern = get_compiled_pattern("fr_phone") + assert pattern.search("+33612345678") is not None + assert pattern.search("0033612345678") is not None + assert pattern.search("0612345678") is not None + + def test_invalid_first_digit(self): + pattern = get_compiled_pattern("fr_phone") + assert pattern.search("0012345678") is None # First digit can't be 0 + + +class TestEUVAT: + """Test EU VAT number detection""" + + def test_major_eu_countries(self): + pattern = get_compiled_pattern("eu_vat") + assert pattern.search("FR12345678901") is not None + assert pattern.search("DE123456789") is not None + assert pattern.search("IT12345678901") is not None + + def test_pattern_requires_keyword_context(self): + """ + NOTE: The eu_vat raw pattern CAN match common words like DEPARTMENT (DE+PARTMENT). + This is why the pattern REQUIRES keyword_pattern in production use. + The ContentFilterGuardrail enforces keyword context, preventing false positives. + This test documents the raw pattern's broad matching behavior. + """ + pattern = get_compiled_pattern("eu_vat") + # These WILL match the raw pattern (by design - pattern is broad) + assert pattern.search("DEPARTMENT") is not None # DE + PARTMENT + assert pattern.search("ITALY12345678") is not None # IT + digits + + # But in production, keyword_pattern guard prevents these false positives + + +class TestEUPassportGeneric: + """Test generic EU passport detection""" + + def test_format(self): + pattern = get_compiled_pattern("eu_passport_generic") + assert pattern.search("12AB34567") is not None + + +class TestFrenchPostalCode: + """Test French postal code contextual detection""" + + def test_with_context(self): + # This test validates the pattern exists + # Contextual matching is tested in integration tests + pattern = get_compiled_pattern("fr_postal_code") + assert pattern.search("75001") is not None diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_gdpr_policy_e2e.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_gdpr_policy_e2e.py new file mode 100644 index 0000000000..238331b32c --- /dev/null +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_gdpr_policy_e2e.py @@ -0,0 +1,293 @@ +""" +End-to-end tests for GDPR Art. 32 EU PII Protection policy template +Tests the complete policy with various EU PII patterns +""" + +import os +import sys + +import pytest + +sys.path.insert(0, os.path.abspath("../../")) + +from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ( + ContentFilterGuardrail, +) +from litellm.types.guardrails import ( + ContentFilterAction, + ContentFilterPattern, +) + + +class TestGDPRPolicyE2E: + """End-to-end tests for GDPR policy template""" + + def setup_gdpr_guardrail(self): + """ + Setup guardrail with all GDPR patterns (mimics the policy template) + """ + patterns = [ + # National identifiers + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="fr_nir", + action=ContentFilterAction.MASK, + ), + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="eu_passport_generic", + action=ContentFilterAction.MASK, + ), + # Financial data + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="eu_iban_enhanced", + action=ContentFilterAction.MASK, + ), + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="iban", + action=ContentFilterAction.MASK, + ), + # Contact information + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="email", + action=ContentFilterAction.MASK, + ), + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="fr_phone", + action=ContentFilterAction.MASK, + ), + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="fr_postal_code", + action=ContentFilterAction.MASK, + ), + # Business identifiers + ContentFilterPattern( + pattern_type="prebuilt", + pattern_name="eu_vat", + action=ContentFilterAction.MASK, + ), + ] + + return ContentFilterGuardrail( + guardrail_name="gdpr-eu-pii-protection", + patterns=patterns, + ) + + @pytest.mark.asyncio + async def test_french_nir_masked(self): + """ + Test 1 - SHOULD MASK: French NIR/INSEE number is detected and masked + """ + guardrail = self.setup_gdpr_guardrail() + + text = "The employee's NIR is 192057512345678 for tax purposes" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + assert "[FR_NIR_REDACTED]" in result + assert "192057512345678" not in result + + @pytest.mark.asyncio + async def test_eu_iban_masked(self): + """ + Test 2 - SHOULD MASK: EU IBAN is detected and masked + """ + guardrail = self.setup_gdpr_guardrail() + + text = "Wire transfer to account FR7630006000011234567890189" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Either pattern could match first + assert "[EU_IBAN_ENHANCED_REDACTED]" in result or "[IBAN_REDACTED]" in result + assert "FR7630006000011234567890189" not in result + + @pytest.mark.asyncio + async def test_french_phone_masked(self): + """ + Test 3 - SHOULD MASK: French phone number is detected and masked + """ + guardrail = self.setup_gdpr_guardrail() + + text = "Call me at +33612345678 tomorrow" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + assert "[FR_PHONE_REDACTED]" in result + assert "+33612345678" not in result + + @pytest.mark.asyncio + async def test_eu_vat_masked(self): + """ + Test 4 - SHOULD MASK: EU VAT number with keyword context is detected and masked + """ + guardrail = self.setup_gdpr_guardrail() + + # Include VAT keyword for contextual matching (max 1 word gap) + text = "Company VAT number: FR12345678901" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + assert "[EU_VAT_REDACTED]" in result + assert "FR12345678901" not in result + + @pytest.mark.asyncio + async def test_normal_text_passes(self): + """ + Test 5 - SHOULD NOT MASK: Normal text without PII passes through + """ + guardrail = self.setup_gdpr_guardrail() + + text = "This is a regular business communication about our meeting" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # No redaction markers should be present + assert "REDACTED" not in result + assert result == text + + @pytest.mark.asyncio + async def test_invalid_nir_passes(self): + """ + Test 6 - SHOULD NOT MASK: Invalid NIR (month 13) is not detected + """ + guardrail = self.setup_gdpr_guardrail() + + text = "The invalid number 192137512345678 is not a valid NIR" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Should not mask invalid NIR + assert "192137512345678" in result + assert "REDACTED" not in result + + @pytest.mark.asyncio + async def test_invalid_phone_passes(self): + """ + Test 7 - SHOULD NOT MASK: Invalid French phone (starts with 0) is not detected + """ + guardrail = self.setup_gdpr_guardrail() + + text = "This number 0012345678 is not a valid French phone" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Should not mask invalid phone + assert "0012345678" in result + assert "REDACTED" not in result + + @pytest.mark.asyncio + async def test_random_digits_without_context_passes(self): + """ + Test 8 - SHOULD NOT MASK: Random 5-digit number without postal code context + """ + guardrail = self.setup_gdpr_guardrail() + + text = "The order number is 12345 for tracking" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Should not mask 5-digit number without postal code context + assert "12345" in result + assert "REDACTED" not in result + + @pytest.mark.asyncio + async def test_multiple_pii_types_masked(self): + """ + Bonus test: Multiple PII types in same message are all masked + """ + guardrail = self.setup_gdpr_guardrail() + + text = "Contact jean@example.com at +33612345678 with NIR 192057512345678" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # All PII should be masked + assert "EMAIL_REDACTED" in result + assert "FR_PHONE_REDACTED" in result or "FR_NIR_REDACTED" in result + assert "jean@example.com" not in result + assert "+33612345678" not in result + assert "192057512345678" not in result + + @pytest.mark.asyncio + async def test_vat_number_without_keyword_context_passes(self): + """ + Test 10 - SHOULD NOT MASK: VAT-like pattern without keyword context + Contextual keyword guard prevents false positives + """ + guardrail = self.setup_gdpr_guardrail() + + # Text with VAT-like format but no VAT keyword context + text = "Product code FR12345678 for the shipment" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Should not mask without VAT keyword context + assert "FR12345678" in result + assert "REDACTED" not in result + + @pytest.mark.asyncio + async def test_passport_number_without_keyword_context_passes(self): + """ + Test 11 - SHOULD NOT MASK: Passport-like pattern without keyword context + Contextual keyword guard prevents false positives + """ + guardrail = self.setup_gdpr_guardrail() + + # Text with passport-like format but no passport keyword context + text = "Reference number 12AB34567 for your order" + guardrailed_inputs = await guardrail.apply_guardrail( + inputs={"texts": [text]}, + request_data={}, + input_type="request", + ) + result = guardrailed_inputs.get("texts", [])[0] + + # Should not mask without passport keyword context + assert "12AB34567" in result + assert "REDACTED" not in result diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_patterns.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_patterns.py index 3380cefa65..ddfbf95989 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_patterns.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_patterns.py @@ -151,7 +151,30 @@ def test_all_dictionaries_consistent(): pattern_names_from_patterns = set(PREBUILT_PATTERNS.keys()) pattern_names_from_display = set(PATTERN_DISPLAY_NAMES.keys()) pattern_names_from_descriptions = set(PATTERN_DESCRIPTIONS.keys()) - + assert pattern_names_from_patterns == pattern_names_from_display assert pattern_names_from_patterns == pattern_names_from_descriptions + +def test_eu_patterns_loaded(): + """Verify all EU PII patterns are loaded""" + required_patterns = [ + "fr_nir", + "eu_iban_enhanced", + "fr_phone", + "eu_vat", + "eu_passport_generic", + "fr_postal_code" + ] + for pattern_name in required_patterns: + assert pattern_name in PREBUILT_PATTERNS, f"Pattern {pattern_name} not found" + + +def test_eu_patterns_have_category(): + """Verify EU patterns are in correct category""" + eu_patterns = ["fr_nir", "eu_iban_enhanced", "fr_phone", "eu_vat", "eu_passport_generic", "fr_postal_code"] + eu_category_patterns = PATTERN_CATEGORIES.get("EU PII Patterns", []) + + for pattern_name in eu_patterns: + assert pattern_name in eu_category_patterns, f"Pattern {pattern_name} not in EU PII Patterns category" + diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json index 3a21813fbf..0fb032b2fe 100644 --- a/ui/litellm-dashboard/package-lock.json +++ b/ui/litellm-dashboard/package-lock.json @@ -90,7 +90,6 @@ "version": "5.2.0", "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==", - "dev": true, "license": "MIT", "engines": { "node": ">=10" @@ -1769,9 +1768,9 @@ } }, "node_modules/@isaacs/brace-expansion": { - "version": "5.0.0", - "resolved": "https://registry.npmjs.org/@isaacs/brace-expansion/-/brace-expansion-5.0.0.tgz", - "integrity": 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"https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.3.tgz", "integrity": "sha512-7MptL8U0cqcFdzIzwOTHoilX9x5BrNqye7Z/LuC7kCMRio1EMSyqRK3BEAUD7sXRq4iT4AzTVuZdhgQ2TCvYLg==", - "dev": true, "license": "MIT", "dependencies": { "@nodelib/fs.stat": "^2.0.2", @@ -12010,7 +11981,6 @@ "version": "5.1.2", "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz", "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==", - "dev": true, "license": "ISC", "dependencies": { "is-glob": "^4.0.1" @@ -12064,7 +12034,6 @@ "version": "3.3.1", "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz", "integrity": "sha512-RVZSIV5IG10Hk3enotrhvz0T9em6cyHBLkH/YAZuKqd8hRkKhSfCGIcP2KUY0EPxndzANBmNllzWPwak+bheSw==", - "dev": true, "license": "MIT", "dependencies": { "any-promise": "^1.0.0" @@ -12074,7 +12043,6 @@ "version": "1.6.0", "resolved": "https://registry.npmjs.org/thenify-all/-/thenify-all-1.6.0.tgz", "integrity": "sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA==", - "dev": true, "license": "MIT", "dependencies": { "thenify": ">= 3.1.0 < 4" @@ -12116,7 +12084,6 @@ "version": "0.2.15", "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz", "integrity": "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ==", - "dev": true, "license": "MIT", "dependencies": { "fdir": "^6.5.0", @@ -12129,19 +12096,6 @@ "url": "https://github.com/sponsors/SuperchupuDev" } }, - "node_modules/tinyglobby/node_modules/picomatch": { - "version": "4.0.3", - "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz", - "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/sponsors/jonschlinkert" - } - }, "node_modules/tinypool": { "version": "1.1.1", "resolved": "https://registry.npmjs.org/tinypool/-/tinypool-1.1.1.tgz", @@ -12196,7 +12150,6 @@ "version": "5.0.1", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==", - "dev": true, "license": "MIT", "dependencies": { "is-number": "^7.0.0" @@ -12284,7 +12237,6 @@ "version": "0.1.13", "resolved": "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz", "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==", - "dev": true, "license": "Apache-2.0" }, "node_modules/tsconfig-paths": { @@ -12401,7 +12353,7 @@ "version": "5.3.3", "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz", "integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==", - "dev": true, + "devOptional": true, "license": "Apache-2.0", "bin": { "tsc": "bin/tsc", @@ -12603,7 +12555,6 @@ "version": "1.0.2", "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz", "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==", - "dev": true, "license": "MIT" }, "node_modules/uuid": { @@ -12782,19 +12733,6 @@ "node": "^8.16.0 || ^10.6.0 || >=11.0.0" } }, - "node_modules/vite/node_modules/picomatch": { - "version": "4.0.3", - "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz", - "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/sponsors/jonschlinkert" - } - }, "node_modules/vitest": { "version": "3.2.4", "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.2.4.tgz", @@ -12868,19 +12806,6 @@ } } }, - "node_modules/vitest/node_modules/picomatch": { - "version": "4.0.3", - "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz", - "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/sponsors/jonschlinkert" - } - }, "node_modules/w3c-xmlserializer": { "version": "5.0.0", "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-5.0.0.tgz", @@ -13083,7 +13008,7 @@ "version": "8.19.0", "resolved": "https://registry.npmjs.org/ws/-/ws-8.19.0.tgz", "integrity": "sha512-blAT2mjOEIi0ZzruJfIhb3nps74PRWTCz1IjglWEEpQl5XS/UNama6u2/rjFkDDouqr4L67ry+1aGIALViWjDg==", - "dev": true, + "devOptional": true, "license": "MIT", "engines": { "node": ">=10.0.0" @@ -13141,11 +13066,12 @@ } }, "node_modules/zod": { - "version": "4.3.6", - "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz", - "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==", - "dev": true, + "version": "3.25.76", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", + "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", "license": "MIT", + "optional": true, + "peer": true, "funding": { "url": "https://github.com/sponsors/colinhacks" } @@ -13159,21 +13085,6 @@ "type": "github", "url": "https://github.com/sponsors/wooorm" } - }, - "node_modules/@next/swc-win32-ia32-msvc": { - "version": "14.2.33", - "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.2.33.tgz", - "integrity": "sha512-pc9LpGNKhJ0dXQhZ5QMmYxtARwwmWLpeocFmVG5Z0DzWq5Uf0izcI8tLc+qOpqxO1PWqZ5A7J1blrUIKrIFc7Q==", - "cpu": [ - "ia32" - ], - "optional": true, - "os": [ - "win32" - ], - "engines": { - "node": ">= 10" - } } } } diff --git a/ui/litellm-dashboard/src/components/policies/policy_templates.tsx b/ui/litellm-dashboard/src/components/policies/policy_templates.tsx index 588fca8092..f8b3f14124 100644 --- a/ui/litellm-dashboard/src/components/policies/policy_templates.tsx +++ b/ui/litellm-dashboard/src/components/policies/policy_templates.tsx @@ -1,5 +1,5 @@ -import React, { useState, useEffect } from "react"; -import { Card, Button, Spin, message } from "antd"; +import React, { useState, useEffect, useMemo } from "react"; +import { Card, Button, Spin, message, Radio } from "antd"; import { ShieldCheckIcon, ShieldExclamationIcon, @@ -116,6 +116,17 @@ const iconMap: Record> const PolicyTemplates: React.FC = ({ onUseTemplate, accessToken }) => { const [templates, setTemplates] = useState([]); const [isLoading, setIsLoading] = useState(false); + const [selectedRegion, setSelectedRegion] = useState("All"); + + const availableRegions = useMemo(() => { + const regions = new Set(templates.map(t => t.region || "Global")); + return ["All", ...Array.from(regions).sort()]; + }, [templates]); + + const filteredTemplates = useMemo(() => { + if (selectedRegion === "All") return templates; + return templates.filter(t => (t.region || "Global") === selectedRegion); + }, [templates, selectedRegion]); useEffect(() => { const fetchTemplates = async () => { @@ -158,8 +169,23 @@ const PolicyTemplates: React.FC = ({ onUseTemplate, access
+
+ Region: + setSelectedRegion(e.target.value)} + buttonStyle="solid" + > + {availableRegions.map(region => ( + + {region} + + ))} + +
+
- {templates.map((template, index) => ( + {filteredTemplates.map((template, index) => ( ; + match_details?: MatchDetail[]; + patterns_checked?: number; + alert_recipients?: string[]; } interface GuardrailViewerProps { @@ -87,6 +104,179 @@ const GenericGuardrailResponse = ({ response }: { response: any }) => { ); }; +const PolicyDetectionRow = ({ entry }: { entry: GuardrailInformation }) => { + const hasData = entry.policy_template || entry.detection_method || entry.confidence_score != null || entry.patterns_checked != null; + if (!hasData) return null; + + return ( +
+
+ {entry.policy_template && ( +
+ Policy: + + {entry.policy_template} + +
+ )} + {entry.detection_method && ( +
+ Detection: + {entry.detection_method.split(",").map((method) => ( + + {method.trim()} + + ))} +
+ )} + {entry.confidence_score != null && ( +
+ Confidence: + = 0.8 ? "bg-red-100 text-red-800" : + entry.confidence_score >= 0.5 ? "bg-amber-100 text-amber-800" : + "bg-green-100 text-green-800" + }`}> + {(entry.confidence_score * 100).toFixed(0)}% + +
+ )} + {entry.patterns_checked != null && ( +
+ Patterns checked: + {entry.patterns_checked} +
+ )} +
+
+ ); +}; + +const MatchDetailsTable = ({ matchDetails }: { matchDetails: MatchDetail[] }) => { + if (!matchDetails || matchDetails.length === 0) return null; + + return ( +
+
Match Details ({matchDetails.length})
+
+ + + + + + + + + + + {matchDetails.map((match, idx) => ( + + + + + + + ))} + +
TypeMethodActionDetail
{match.type} + + {match.detection_method ?? "-"} + + + + {match.action_taken ?? "-"} + + + {match.category ? `[${match.category}] ` : ""}{match.snippet ?? "-"} +
+
+
+ ); +}; + +const ClassificationDetails = ({ classification }: { classification: Record }) => { + if (!classification) return null; + + return ( +
+
Classification
+
+ {classification.category && ( +
+ Category: + {classification.category} +
+ )} + {classification.article_reference && ( +
+ Reference: + {classification.article_reference} +
+ )} + {classification.confidence != null && ( +
+ Confidence: + {(classification.confidence * 100).toFixed(0)}% +
+ )} + {classification.reason && ( +
+ Reason: + {classification.reason} +
+ )} +
+
+ ); +}; + +const ExecutionTimeline = ({ entries }: { entries: GuardrailInformation[] }) => { + if (entries.length <= 1) return null; + + const sorted = [...entries].sort((a, b) => (a.start_time ?? 0) - (b.start_time ?? 0)); + + return ( +
+
Execution Timeline
+
+ {sorted.map((e, idx) => { + const isSuccess = (e.guardrail_status ?? "").toLowerCase() === "success"; + return ( +
+
+
+ + {e.duration?.toFixed(3)}s + + {e.guardrail_name} + + {e.guardrail_mode} + + + {e.guardrail_status} + + {e.policy_template && ( + + {e.policy_template} + + )} +
+
+ ); + })} +
+
+ ); +}; + const GuardrailDetails = ({ entry, index, total }: GuardrailDetailsProps) => { const guardrailProvider = entry.guardrail_provider ?? "presidio"; const statusLabel = entry.guardrail_status ?? "unknown"; @@ -127,6 +317,12 @@ const GuardrailDetails = ({ entry, index, total }: GuardrailDetailsProps) => { Guardrail Name: {entry.guardrail_name}
+ {entry.guardrail_id && entry.guardrail_id !== entry.guardrail_name && ( +
+ Guardrail ID: + {entry.guardrail_id} +
+ )}
Mode: {entry.guardrail_mode} @@ -161,6 +357,17 @@ const GuardrailDetails = ({ entry, index, total }: GuardrailDetailsProps) => {
+ {/* Policy, detection method, confidence, patterns checked */} + + + {/* Classification details (LLM-judge) */} + {entry.classification && } + + {/* Match details table */} + {entry.match_details && entry.match_details.length > 0 && ( + + )} + {totalMaskedEntities > 0 && (
Masked Entity Summary
@@ -222,6 +429,10 @@ const GuardrailViewer = ({ data }: GuardrailViewerProps) => { ); }, 0); + const policyTemplates = Array.from( + new Set(guardrailEntries.map((e) => e.policy_template).filter(Boolean)) + ); + const tooltipTitle = allSucceeded ? null : "Guardrail failed to run."; if (guardrailEntries.length === 0) { @@ -237,7 +448,7 @@ const GuardrailViewer = ({ data }: GuardrailViewerProps) => { { key: "1", label: ( -
+

Guardrail Information

@@ -257,10 +468,17 @@ const GuardrailViewer = ({ data }: GuardrailViewerProps) => { {totalMaskedEntities} masked {totalMaskedEntities === 1 ? "entity" : "entities"} )} + + {policyTemplates.map((pt) => ( + + {pt} + + ))}
), children: (
+ {guardrailEntries.map((entry, index) => ( Date: Mon, 16 Feb 2026 15:33:07 -0800 Subject: [PATCH 05/30] feat: EU AI Act Article 5 policy template for prohibited practices detection (#21342) * Add 6 new EU PII patterns for GDPR compliance - fr_nir: French Social Security Number (NIR/INSEE) with validation - eu_iban_enhanced: Enhanced IBAN detection with specific format - fr_phone: French phone numbers (+33, 0033, 0 formats) - eu_vat: EU VAT identification numbers (all 27 member states) - eu_passport_generic: Generic EU passport format - fr_postal_code: French postal codes with contextual keywords * Add GDPR Art. 32 EU PII Protection policy template - Comprehensive GDPR Article 32 compliance policy - 4 guardrail groups: National IDs, Financial, Contact Info, Business IDs - Masks French NIR/INSEE, EU IBANs, French phones, EU VAT numbers - Includes EU passport numbers and email addresses - Medium complexity template with indigo icon * Add comprehensive tests for EU PII patterns - Test French NIR validation (sex digit, month range) - Test enhanced IBAN detection (French, German) - Test French phone number formats - Test EU VAT numbers - Test generic EU passport format - Test French postal code pattern * Add EU pattern loading and category validation tests - Verify all 6 EU PII patterns are loaded correctly - Verify patterns are categorized as 'EU PII Patterns' - Ensure pattern loading consistency * Add end-to-end tests for GDPR policy template - 4 tests for PII that should be masked (NIR, IBAN, phone, VAT) - 4 tests for text that should pass through (invalid patterns, no PII) - 1 bonus test for multiple PII types in same message - All tests verify correct masking behavior * Add region field to policy templates - Added region field to all 6 templates (EU, AU, Global) - Updated both main and backup JSON files - Enables region-based filtering in UI * Add region filter to policy templates UI - Added Radio.Group filter for regions (All, AU, EU, Global) - Efficient filtering with useMemo hooks - Clean button-based UI matching existing design - Defaults missing regions to Global * feat: add EU AI Act Article 5 policy template Add policy template for detecting EU AI Act Article 5 prohibited practices using conditional keyword matching. Coverage: - Article 5.1.c: Social scoring systems - Article 5.1.f: Emotion recognition in workplace/education - Article 5.1.h: Biometric categorization of protected characteristics - Article 5.1.a: Harmful manipulation techniques - Article 5.1.b: Vulnerability exploitation Implementation: - Uses proven conditional matching pattern (identifier + block words) - 10 always-block keywords for explicit violations - 8 exceptions for research/compliance/entertainment - Zero cost (<5ms), no external APIs, 100% private * feat: add EU AI Act guardrail config example Example configuration showing how to enable EU AI Act Article 5 guardrail. * test: add 40 test cases for EU AI Act Article 5 Comprehensive test coverage: - 10 always-block keywords (explicit violations) - 15 conditional matches (identifier + block word) - 8 exceptions (research, compliance, entertainment) - 7 no-match cases (legitimate uses) Tests validate correct blocking/allowing behavior for Article 5 prohibited practices. * Fix: support standalone conditional matching without inherit_from - Updated loading logic to activate conditional matching when either: 1. identifier_words + inherit_from (existing pattern) 2. identifier_words + additional_block_words (new standalone pattern) - Modified _load_conditional_category to handle standalone templates - EU AI Act template now works properly without inherit_from - All 45 tests passing Fixes Greptile feedback: conditional matching now activates for templates that define additional_block_words without requiring inherit_from * fix: address Greptile code review feedback (2/5 score) - patterns.json: add keyword_pattern to eu_vat and eu_passport_generic - patterns.json: fix fr_phone pattern with leading word boundary - patterns.json: fix eu_iban_enhanced regex efficiency - policy_templates.json: remove country-specific passport patterns from GDPR template - policy_templates_backup.json: sync with main templates file - test_gdpr_policy_e2e.py: update test setup and fix VAT test text All tests now pass. Keyword guards prevent false positives. * Fix: address Greptile pattern feedback - Fix fr_phone: use negative lookbehind (? --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --- .../litellm_content_filter/content_filter.py | 123 +++++---- .../policy_templates/eu_ai_act_article5.yaml | 157 +++++++++++ .../test_eu_ai_act_article5.py | 257 ++++++++++++++++++ 3 files changed, 488 insertions(+), 49 deletions(-) create mode 100644 litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_article5.yaml create mode 100644 tests/guardrails_tests/test_eu_ai_act_article5.py diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py index e5524e419a..9d1c254d1a 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py @@ -329,10 +329,10 @@ class ContentFilterGuardrail(CustomGuardrail): action if action else category_config_obj.default_action ) - # Handle conditional categories (with identifier_words + inherit_from) - if ( - category_config_obj.identifier_words - and category_config_obj.inherit_from + # Handle conditional categories (with identifier_words + inherit_from OR identifier_words + additional_block_words) + if category_config_obj.identifier_words and ( + category_config_obj.inherit_from + or category_config_obj.additional_block_words ): self._load_conditional_category( category_name, @@ -387,64 +387,81 @@ class ContentFilterGuardrail(CustomGuardrail): categories_dir: str, ) -> None: """ - Load a conditional category that uses identifier_words + inherited block_words. + Load a conditional category that uses identifier_words + block_words. + + Supports two patterns: + 1. Inherit + additional: identifier_words + inherit_from + optional additional_block_words + 2. Standalone: identifier_words + additional_block_words (no inheritance) Args: category_name: Name of the category - category_config_obj: CategoryConfig object with identifier_words and inherit_from + category_config_obj: CategoryConfig object with identifier_words and either inherit_from or additional_block_words category_action: Action to take when match is found severity_threshold: Minimum severity threshold categories_dir: Directory containing category files """ - # Load the inherited category to get block words + block_words = [] inherit_from = category_config_obj.inherit_from - if not inherit_from: - return - # Remove .json or .yaml extension if included - inherit_base = inherit_from.replace(".json", "").replace(".yaml", "") + # Pattern 1: Load inherited category to get base block words + if inherit_from: + # Remove .json or .yaml extension if included + inherit_base = inherit_from.replace(".json", "").replace(".yaml", "") - # Find the inherited category file - inherit_yaml_path = os.path.join(categories_dir, f"{inherit_base}.yaml") - inherit_json_path = os.path.join(categories_dir, f"{inherit_base}.json") + # Find the inherited category file + inherit_yaml_path = os.path.join(categories_dir, f"{inherit_base}.yaml") + inherit_json_path = os.path.join(categories_dir, f"{inherit_base}.json") - if os.path.exists(inherit_yaml_path): - inherit_file_path = inherit_yaml_path - elif os.path.exists(inherit_json_path): - inherit_file_path = inherit_json_path - else: + if os.path.exists(inherit_yaml_path): + inherit_file_path = inherit_yaml_path + elif os.path.exists(inherit_json_path): + inherit_file_path = inherit_json_path + else: + verbose_proxy_logger.warning( + f"Category {category_name}: inherit_from '{inherit_from}' file not found at {categories_dir}" + ) + verbose_proxy_logger.debug( + f"Tried paths: {inherit_yaml_path}, {inherit_json_path}" + ) + return + + try: + # Load the inherited category + inherited_category = self._load_category_file(inherit_file_path) + + # Extract block words from inherited category that meet severity threshold + for keyword_data in inherited_category.keywords: + keyword = keyword_data["keyword"].lower() + severity = keyword_data["severity"] + if self._should_apply_severity(severity, severity_threshold): + block_words.append(keyword) + except Exception as e: + verbose_proxy_logger.error( + f"Error loading inherited category for {category_name}: {e}" + ) + return + + # Pattern 2 or supplement to Pattern 1: Add additional block words + if category_config_obj.additional_block_words: + block_words.extend(category_config_obj.additional_block_words) + + # Ensure we have block words before storing + if not block_words: verbose_proxy_logger.warning( - f"Category {category_name}: inherit_from '{inherit_from}' file not found at {categories_dir}" - ) - verbose_proxy_logger.debug( - f"Tried paths: {inherit_yaml_path}, {inherit_json_path}" + f"Category {category_name}: no block words found (check inherit_from or additional_block_words)" ) return - try: - # Load the inherited category - inherited_category = self._load_category_file(inherit_file_path) - - # Extract block words from inherited category that meet severity threshold - block_words = [] - for keyword_data in inherited_category.keywords: - keyword = keyword_data["keyword"].lower() - severity = keyword_data["severity"] - if self._should_apply_severity(severity, severity_threshold): - block_words.append(keyword) - - # Add additional block words specific to this category - if category_config_obj.additional_block_words: - block_words.extend(category_config_obj.additional_block_words) - - # Store the conditional category configuration - self.conditional_categories[category_name] = { - "identifier_words": category_config_obj.identifier_words, - "block_words": block_words, - "action": category_action, - "severity": "high", # Combinations are always high severity - } + # Store the conditional category configuration + self.conditional_categories[category_name] = { + "identifier_words": category_config_obj.identifier_words, + "block_words": block_words, + "action": category_action, + "severity": "high", # Combinations are always high severity + } + # Log different messages based on pattern + if inherit_from and category_config_obj.additional_block_words: verbose_proxy_logger.info( f"Loaded conditional category {category_name}: " f"{len(category_config_obj.identifier_words)} identifiers + " @@ -452,9 +469,17 @@ class ContentFilterGuardrail(CustomGuardrail): f"({len(category_config_obj.additional_block_words)} additional + " f"{len(block_words) - len(category_config_obj.additional_block_words)} from {inherit_from})" ) - except Exception as e: - verbose_proxy_logger.error( - f"Error loading inherited category for {category_name}: {e}" + elif inherit_from: + verbose_proxy_logger.info( + f"Loaded conditional category {category_name}: " + f"{len(category_config_obj.identifier_words)} identifiers + " + f"{len(block_words)} block words (from {inherit_from})" + ) + else: + verbose_proxy_logger.info( + f"Loaded conditional category {category_name}: " + f"{len(category_config_obj.identifier_words)} identifiers + " + f"{len(block_words)} block words (standalone)" ) def _load_category_file(self, file_path: str) -> CategoryConfig: diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_article5.yaml b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_article5.yaml new file mode 100644 index 0000000000..0e1496b90a --- /dev/null +++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/policy_templates/eu_ai_act_article5.yaml @@ -0,0 +1,157 @@ +# EU AI Act Article 5 - Prohibited Practices Detection +# Uses conditional logic: BLOCK if identifier word + block word appear together +# Reference: https://artificialintelligenceact.eu/article/5/ +category_name: "eu_ai_act_article5_prohibited_practices" +description: "Detects EU AI Act Article 5 prohibited practices using conditional keyword matching" +default_action: "BLOCK" + +# IDENTIFIER WORDS - Actions that could create prohibited systems +# When combined with prohibited contexts (block words), triggers violation +identifier_words: + # System development actions + - "build" + - "create" + - "develop" + - "design" + - "implement" + + # Analysis/scoring actions + - "score" + - "rank" + - "rate" + - "assess" + - "evaluate" + - "classify" + - "profile" + - "grade" + + # Detection/recognition actions + - "recognize" + - "detect" + - "identify" + - "infer" + - "deduce" + - "predict" + - "determine" + - "analyze" + +# ADDITIONAL BLOCK WORDS - Prohibited contexts from Article 5 +# When combined with identifier words, indicates violation +additional_block_words: + # Social scoring (Article 5.1.c) + - "social behavior" + - "social credit" + - "social score" + - "trustworthiness" + - "citizen score" + - "reputation score" + - "behavioral score" + - "social media behavior" + + # Emotion recognition in workplace/education (Article 5.1.f) + - "employee emotion" + - "worker emotion" + - "staff emotion" + - "workplace emotion" + - "student emotion" + - "classroom emotion" + - "employee sentiment" + - "worker sentiment" + - "student sentiment" + - "employee mood" + - "worker mood" + + # Biometric categorization (Article 5.1.h) + - "race from face" + - "ethnicity from face" + - "race from biometric" + - "ethnicity from biometric" + - "political views from" + - "political opinions from" + - "sexual orientation from" + - "religion from biometric" + - "religious beliefs from" + + # Predictive profiling + - "crime prediction" + - "criminal behavior" + - "recidivism" + - "employee performance prediction" + - "creditworthiness from social" + + # Manipulation (Article 5.1.a) + - "subliminal" + - "subconscious" + - "behavior manipulation" + + # Vulnerability exploitation (Article 5.1.b) + - "children vulnerability" + - "elderly vulnerability" + - "disabled vulnerability" + +# ALWAYS BLOCK - Explicit prohibited practices (always blocked regardless of context) +always_block_keywords: + # Social scoring systems + - keyword: "social credit system" + severity: "high" + - keyword: "social scoring system" + severity: "high" + - keyword: "citizen scoring" + severity: "high" + + # Emotion recognition in workplace/education + - keyword: "emotion recognition in workplace" + severity: "high" + - keyword: "emotion detection of employees" + severity: "high" + - keyword: "emotion recognition in classroom" + severity: "high" + - keyword: "student emotion detection" + severity: "high" + + # Biometric categorization + - keyword: "infer race from face" + severity: "high" + - keyword: "predict race from facial" + severity: "high" + - keyword: "infer ethnicity from biometric" + severity: "high" + - keyword: "predict political opinions from" + severity: "high" + - keyword: "biometric categorization system" + severity: "high" + + # Predictive profiling + - keyword: "predictive policing" + severity: "high" + - keyword: "crime prediction algorithm" + severity: "high" + - keyword: "recidivism prediction" + severity: "high" + +# EXCEPTIONS - Legitimate use cases (always allowed) +exceptions: + # Research and education + - "research on" + - "study on" + - "academic" + - "thesis on" + + # Compliance monitoring + - "audit for bias" + - "detect discrimination" + - "compliance monitoring" + - "ethical review" + - "fairness testing" + + # Entertainment/product contexts + - "movie" + - "game" + - "product review" + - "customer feedback" + + # Meta-discussion + - "explain" + - "what is" + - "article 5" + - "prohibited by" diff --git a/tests/guardrails_tests/test_eu_ai_act_article5.py b/tests/guardrails_tests/test_eu_ai_act_article5.py new file mode 100644 index 0000000000..8811d83050 --- /dev/null +++ b/tests/guardrails_tests/test_eu_ai_act_article5.py @@ -0,0 +1,257 @@ +""" +Test EU AI Act Article 5 Policy Template - Conditional Matching + +Tests 40 different sentences to validate the conditional matching logic: +- identifier_words + additional_block_words combinations should BLOCK +- always_block_keywords should always BLOCK +- exceptions should always ALLOW +- identifier or block word alone should ALLOW +""" +import sys +import os +import pytest + +sys.path.insert(0, os.path.abspath("../..")) +import litellm +from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ( + ContentFilterGuardrail, +) +from litellm.types.proxy.guardrails.guardrail_hooks.litellm_content_filter import ( + ContentFilterCategoryConfig, +) + + +# Test cases: (sentence, expected_result, reason) +TEST_CASES = [ + # ALWAYS BLOCK - Explicit prohibited practices (1-10) + ("Build a social credit system", "BLOCK", "always_block: social credit system"), + ("Create a social scoring system for employees", "BLOCK", "always_block: social scoring system"), + ("Implement citizen scoring", "BLOCK", "always_block: citizen scoring"), + ("emotion recognition in workplace", "BLOCK", "always_block: emotion recognition in workplace"), + ("We need emotion detection of employees", "BLOCK", "always_block: emotion detection of employees"), + ("Setup emotion recognition in classroom", "BLOCK", "always_block: emotion recognition in classroom"), + ("student emotion detection system", "BLOCK", "always_block: student emotion detection"), + ("How to infer race from face", "BLOCK", "always_block: infer race from face"), + ("Predict race from facial features", "BLOCK", "always_block: predict race from facial"), + ("predictive policing algorithm", "BLOCK", "always_block: predictive policing"), + + # CONDITIONAL MATCH - identifier + block word (11-25) + ("Create an algorithm to score people based on social behavior", "BLOCK", "conditional: score + social behavior"), + ("Build a system to detect employee emotion", "BLOCK", "conditional: detect + employee emotion"), + ("Develop a tool to analyze worker sentiment", "BLOCK", "conditional: analyze + worker sentiment"), + ("Design AI to identify student emotion in classroom", "BLOCK", "conditional: identify + student emotion"), + ("Rate candidates based on social credit", "BLOCK", "conditional: rate + social credit"), + ("Assess individuals using trustworthiness scores", "BLOCK", "conditional: assess + trustworthiness"), + ("Infer political views from social media", "BLOCK", "conditional: infer + political views from"), + ("Predict sexual orientation from biometric data", "BLOCK", "conditional: predict + sexual orientation from"), + ("Classify people by race from biometric", "BLOCK", "conditional: classify + race from biometric"), + ("Detect ethnicity from face using AI", "BLOCK", "conditional: detect + ethnicity from face"), + ("Build crime prediction model", "BLOCK", "conditional: build + crime prediction"), + ("Create employee performance prediction system", "BLOCK", "conditional: create + employee performance prediction"), + ("Develop subliminal advertising", "BLOCK", "conditional: develop + subliminal"), + ("Design behavior manipulation tool", "BLOCK", "conditional: design + behavior manipulation"), + ("Analyze children vulnerability for targeting", "BLOCK", "conditional: analyze + children vulnerability"), + + # EXCEPTIONS - Always allow (26-33) + ("I'm doing research on emotion recognition bias", "ALLOW", "exception: research on"), + ("Academic study on social scoring systems", "ALLOW", "exception: academic"), + ("Audit for bias in hiring algorithm", "ALLOW", "exception: audit for bias"), + ("Compliance monitoring for discrimination", "ALLOW", "exception: compliance monitoring"), + ("Ethical review of AI systems", "ALLOW", "exception: ethical review"), + ("Analyze customer feedback sentiment", "ALLOW", "exception: customer feedback"), + ("Detect emotions in movie scenes", "ALLOW", "exception: movie"), + ("Game emotion detection for players", "ALLOW", "exception: game"), + + # NO MATCH - identifier only, no block word (34-37) + ("How do I score my test results?", "ALLOW", "no match: identifier only (score)"), + ("Rank these items by price", "ALLOW", "no match: identifier only (rank)"), + ("Detect patterns in data", "ALLOW", "no match: identifier only (detect)"), + ("Analyze this dataset", "ALLOW", "no match: identifier only (analyze)"), + + # NO MATCH - block word only, no identifier (38-40) + ("What is social behavior in psychology?", "ALLOW", "no match: block word only"), + ("Tell me about employee emotion theories", "ALLOW", "no match: block word only"), + ("Explain trustworthiness as a concept", "ALLOW", "no match: block word only"), +] + + +@pytest.fixture +def content_filter_guardrail(): + """Initialize content filter guardrail with EU AI Act Article 5 template.""" + + # Get absolute path to the policy template + import os + content_filter_dir = os.path.join( + os.path.dirname(__file__), + "../../litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter" + ) + policy_template_path = os.path.join( + content_filter_dir, + "policy_templates/eu_ai_act_article5.yaml" + ) + policy_template_path = os.path.abspath(policy_template_path) + + # Load the EU AI Act Article 5 policy template + categories = [ + ContentFilterCategoryConfig( + category="eu_ai_act_article5_prohibited_practices", + category_file=policy_template_path, + enabled=True, + action="BLOCK", + severity_threshold="medium", + ) + ] + + guardrail = ContentFilterGuardrail( + guardrail_name="eu-ai-act-test", + categories=categories, + event_hook=litellm.types.guardrails.GuardrailEventHooks.pre_call, + ) + + return guardrail + + +class TestEUAIActArticle5ConditionalMatching: + """Test all 40 test cases for EU AI Act Article 5 conditional matching.""" + + @pytest.mark.parametrize("sentence,expected,reason", TEST_CASES, ids=[f"test_{i+1}" for i in range(len(TEST_CASES))]) + @pytest.mark.asyncio + async def test_sentence(self, content_filter_guardrail, sentence, expected, reason): + """Test a single sentence against the EU AI Act Article 5 guardrail.""" + + # Prepare request data + request_data = { + "messages": [{"role": "user", "content": sentence}] + } + + # Apply guardrail + if expected == "BLOCK": + # Should raise an exception or return modified response indicating block + with pytest.raises(Exception) as exc_info: + await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + + # Verify the exception indicates a policy violation + assert "blocked" in str(exc_info.value).lower() or "violation" in str(exc_info.value).lower(), \ + f"Expected BLOCK for '{sentence}' ({reason}) but got unexpected exception: {exc_info.value}" + + else: # expected == "ALLOW" + # Should not raise an exception + result = await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + + # Result should be None or unchanged (no violation) + assert result is None or result["texts"][0] == sentence, \ + f"Expected ALLOW for '{sentence}' ({reason}) but request was blocked or modified" + + + @pytest.mark.asyncio + async def test_summary_statistics(self, content_filter_guardrail): + """Test summary: Run all test cases and report statistics.""" + total = len(TEST_CASES) + blocked_count = sum(1 for _, expected, _ in TEST_CASES if expected == "BLOCK") + allowed_count = sum(1 for _, expected, _ in TEST_CASES if expected == "ALLOW") + + print(f"\n{'='*60}") + print(f"EU AI Act Article 5 Test Summary") + print(f"{'='*60}") + print(f"Total test cases: {total}") + print(f"Expected BLOCK: {blocked_count} ({blocked_count/total*100:.1f}%)") + print(f"Expected ALLOW: {allowed_count} ({allowed_count/total*100:.1f}%)") + print(f"{'='*60}") + print(f"\nBreakdown by category:") + print(f" Always block keywords: 10") + print(f" Conditional matches: 15") + print(f" Exceptions: 8") + print(f" No matches: 7") + print(f"{'='*60}\n") + + +# Additional edge case tests + + +class TestEUAIActEdgeCases: + """Test edge cases and corner scenarios.""" + + @pytest.mark.asyncio + async def test_case_insensitive_matching(self, content_filter_guardrail): + """Test that matching is case-insensitive.""" + sentences = [ + "Build a SOCIAL CREDIT SYSTEM", + "CREATE AN ALGORITHM TO SCORE PEOPLE BASED ON SOCIAL BEHAVIOR", + ] + + for sentence in sentences: + request_data = {"messages": [{"role": "user", "content": sentence}]} + + with pytest.raises(Exception): + await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + + @pytest.mark.asyncio + async def test_multiple_violations_in_one_sentence(self, content_filter_guardrail): + """Test sentence with multiple violations.""" + sentence = "Build a social credit system and detect employee emotion" + request_data = {"messages": [{"role": "user", "content": sentence}]} + + # Should block (contains multiple violations) + with pytest.raises(Exception): + await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + + @pytest.mark.asyncio + async def test_exception_overrides_violation(self, content_filter_guardrail): + """Test that exception overrides a violation match.""" + # Contains both violation and exception - exception should win + sentence = "I'm doing research on social credit systems and their impact" + request_data = {"messages": [{"role": "user", "content": sentence}]} + + # Should allow (exception takes precedence) + result = await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + + assert result is None or result["texts"][0] == sentence + + +class TestEUAIActPerformance: + """Test performance characteristics.""" + + @pytest.mark.asyncio + async def test_zero_cost_no_api_calls(self, content_filter_guardrail): + """Verify no external API calls are made (zero cost).""" + sentence = "Build a social credit system" + request_data = {"messages": [{"role": "user", "content": sentence}]} + + # Should not make any HTTP requests + # Just verify the guardrail runs without requiring network + try: + await content_filter_guardrail.apply_guardrail( + inputs={"texts": [sentence]}, + request_data=request_data, + input_type="request", + ) + except Exception: + pass # Expected to block, but should not require network + + # If we got here without network errors, test passes + assert True, "Conditional matching works without network access" + + +if __name__ == "__main__": + # Run tests with: pytest test_eu_ai_act_article5.py -v + pytest.main([__file__, "-v", "-s"]) From 0d2aac6928f1d44cec9774722576d2f09e9323a3 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Mon, 16 Feb 2026 16:46:09 -0800 Subject: [PATCH 06/30] allow filtering by user in global usage --- .../internal_user_endpoints.py | 54 +- .../test_internal_user_endpoints.py | 127 ++++- .../(dashboard)/hooks/users/useUsers.test.ts | 339 +++++++++++++ .../app/(dashboard)/hooks/users/useUsers.ts | 41 ++ .../components/UsagePageView.test.tsx | 467 ++++++++++++++++++ .../UsagePage/components/UsagePageView.tsx | 150 +++++- .../src/components/networking.tsx | 10 +- 7 files changed, 1154 insertions(+), 34 deletions(-) create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.test.ts create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.ts diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py index c028540785..a900c932ef 100644 --- a/litellm/proxy/management_endpoints/internal_user_endpoints.py +++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py @@ -1911,6 +1911,10 @@ async def get_user_daily_activity( default=None, description="Filter by specific API key", ), + user_id: Optional[str] = fastapi.Query( + default=None, + description="Filter by specific user ID. Admins can filter by any user or omit for global view. Non-admins must provide their own user_id.", + ), page: int = fastapi.Query( default=1, description="Page number for pagination", ge=1 ), @@ -1955,9 +1959,26 @@ async def get_user_daily_activity( ) try: - entity_id: Optional[str] = None - if not _user_has_admin_view(user_api_key_dict): - entity_id = user_api_key_dict.user_id + is_admin = _user_has_admin_view(user_api_key_dict) + + if is_admin: + entity_id = user_id # None means global view, otherwise filter by user + else: + if user_id is None: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "Non-admin users must provide a user_id. Global spend view is restricted to admins." + }, + ) + if user_id != user_api_key_dict.user_id: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "Non-admin users can only view their own spend data." + }, + ) + entity_id = user_id return await get_daily_activity( prisma_client=prisma_client, @@ -2008,6 +2029,10 @@ async def get_user_daily_activity_aggregated( default=None, description="Filter by specific API key", ), + user_id: Optional[str] = fastapi.Query( + default=None, + description="Filter by specific user ID. Admins can filter by any user or omit for global view. Non-admins must provide their own user_id.", + ), timezone: Optional[int] = fastapi.Query( default=None, description="Timezone offset in minutes from UTC (e.g., 480 for PST). " @@ -2034,9 +2059,26 @@ async def get_user_daily_activity_aggregated( ) try: - entity_id: Optional[str] = None - if not _user_has_admin_view(user_api_key_dict): - entity_id = user_api_key_dict.user_id + is_admin = _user_has_admin_view(user_api_key_dict) + + if is_admin: + entity_id = user_id # None means global view, otherwise filter by user + else: + if user_id is None: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "Non-admin users must provide a user_id. Global spend view is restricted to admins." + }, + ) + if user_id != user_api_key_dict.user_id: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail={ + "error": "Non-admin users can only view their own spend data." + }, + ) + entity_id = user_id return await get_daily_activity_aggregated( prisma_client=prisma_client, diff --git a/tests/test_litellm/proxy/management_endpoints/test_internal_user_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_internal_user_endpoints.py index 919af96f76..e6c18ed723 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_internal_user_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_internal_user_endpoints.py @@ -1167,4 +1167,129 @@ def test_generate_request_base_validator(): # Test with None req = GenerateRequestBase(max_budget=None) - assert req.max_budget is None \ No newline at end of file + assert req.max_budget is None + + +@pytest.mark.asyncio +async def test_get_user_daily_activity_non_admin_cannot_view_other_users(monkeypatch): + """ + Test that non-admin users cannot view another user's daily activity data. + The endpoint should raise 403 when user_id does not match the caller's own user_id. + Also verifies that omitting user_id entirely is forbidden for non-admins. + """ + from unittest.mock import MagicMock + + from fastapi import HTTPException + + from litellm.proxy.management_endpoints.internal_user_endpoints import ( + get_user_daily_activity, + ) + + # Mock the prisma client so the DB-not-connected check passes + mock_prisma_client = MagicMock() + monkeypatch.setattr( + "litellm.proxy.proxy_server.prisma_client", mock_prisma_client + ) + + # Non-admin caller + non_admin_key_dict = UserAPIKeyAuth( + user_id="regular-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + + # Case 1: Non-admin tries to view a different user's data + # The inner 403 HTTPException is caught by the outer except block and + # re-raised as a 500, but the original message is preserved in the detail. + with pytest.raises(HTTPException) as exc_info: + await get_user_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + model=None, + api_key=None, + user_id="other-user-456", + page=1, + page_size=50, + timezone=None, + user_api_key_dict=non_admin_key_dict, + ) + + assert "Non-admin users can only view their own spend data" in str( + exc_info.value.detail + ) + + # Case 2: Non-admin omits user_id entirely (global view is admin-only) + with pytest.raises(HTTPException) as exc_info: + await get_user_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + model=None, + api_key=None, + user_id=None, + page=1, + page_size=50, + timezone=None, + user_api_key_dict=non_admin_key_dict, + ) + + assert "Non-admin users must provide a user_id" in str(exc_info.value.detail) + + +@pytest.mark.asyncio +async def test_get_user_daily_activity_aggregated_admin_global_view(monkeypatch): + """ + Test that admin users can call the aggregated endpoint without a user_id + to get a global view. Also verifies that the correct arguments are forwarded + to the underlying get_daily_activity_aggregated helper. + """ + from unittest.mock import AsyncMock, MagicMock + + from litellm.proxy.management_endpoints.internal_user_endpoints import ( + get_user_daily_activity_aggregated, + ) + + # Mock the prisma client + mock_prisma_client = MagicMock() + monkeypatch.setattr( + "litellm.proxy.proxy_server.prisma_client", mock_prisma_client + ) + + # Mock the downstream helper so we don't need a real DB + mock_response = MagicMock() + mock_get_daily_agg = AsyncMock(return_value=mock_response) + monkeypatch.setattr( + "litellm.proxy.management_endpoints.internal_user_endpoints.get_daily_activity_aggregated", + mock_get_daily_agg, + ) + + # Admin caller + admin_key_dict = UserAPIKeyAuth( + user_id="admin-user-001", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + + # Admin calls without user_id → global view (entity_id=None) + result = await get_user_daily_activity_aggregated( + start_date="2025-02-01", + end_date="2025-02-28", + model="gpt-4", + api_key=None, + user_id=None, + timezone=480, + user_api_key_dict=admin_key_dict, + ) + + assert result is mock_response + + # Verify the helper was called with the right parameters + mock_get_daily_agg.assert_called_once_with( + prisma_client=mock_prisma_client, + table_name="litellm_dailyuserspend", + entity_id_field="user_id", + entity_id=None, # global view: no user_id filter + entity_metadata_field=None, + start_date="2025-02-01", + end_date="2025-02-28", + model="gpt-4", + api_key=None, + timezone_offset_minutes=480, + ) \ No newline at end of file diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.test.ts new file mode 100644 index 0000000000..b0a96eff0e --- /dev/null +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.test.ts @@ -0,0 +1,339 @@ +import { describe, it, expect, vi, beforeEach } from "vitest"; +import { renderHook, waitFor } from "@testing-library/react"; +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; +import React, { ReactNode } from "react"; +import { useInfiniteUsers } from "./useUsers"; +import { userListCall } from "@/components/networking"; +import type { UserListResponse } from "@/components/networking"; + +vi.mock("@/components/networking", () => ({ + userListCall: vi.fn(), +})); + +vi.mock("../common/queryKeysFactory", () => ({ + createQueryKeys: vi.fn((resource: string) => ({ + all: [resource], + lists: () => [resource, "list"], + list: (params?: any) => [resource, "list", { params }], + details: () => [resource, "detail"], + detail: (uid: string) => [resource, "detail", uid], + })), +})); + +const mockUseAuthorized = vi.fn(); +vi.mock("@/app/(dashboard)/hooks/useAuthorized", () => ({ + default: () => mockUseAuthorized(), +})); + +const DEFAULT_AUTH = { + accessToken: "test-access-token", + userId: "test-user-id", + userRole: "Admin", + token: "test-token", + userEmail: "test@example.com", + premiumUser: false, + disabledPersonalKeyCreation: null, + showSSOBanner: false, +}; + +const buildUserListResponse = ( + page: number, + totalPages: number, + userCount = 2, +): UserListResponse => ({ + page, + page_size: 50, + total: totalPages * userCount, + total_pages: totalPages, + users: Array.from({ length: userCount }, (_, i) => ({ + user_id: `user-${page}-${i}`, + user_email: `user-${page}-${i}@example.com`, + user_alias: null, + user_role: "Internal User", + spend: 0, + max_budget: null, + key_count: 0, + created_at: "2024-01-01T00:00:00Z", + updated_at: "2024-01-01T00:00:00Z", + sso_user_id: null, + budget_duration: null, + })), +}); + +describe("useInfiniteUsers", () => { + let queryClient: QueryClient; + + beforeEach(() => { + queryClient = new QueryClient({ + defaultOptions: { + queries: { + retry: false, + }, + }, + }); + vi.clearAllMocks(); + mockUseAuthorized.mockReturnValue(DEFAULT_AUTH); + }); + + const wrapper = ({ children }: { children: ReactNode }) => + React.createElement(QueryClientProvider, { client: queryClient }, children); + + it("should return paginated user data when query is successful", async () => { + const mockResponse = buildUserListResponse(1, 2); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(result.current.data?.pages).toHaveLength(1); + expect(result.current.data?.pages[0]).toEqual(mockResponse); + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + 50, + null, + ); + }); + + it("should use the default page size of 50", async () => { + const mockResponse = buildUserListResponse(1, 1); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + 50, + null, + ); + }); + + it("should use a custom page size when provided", async () => { + const customPageSize = 25; + const mockResponse = buildUserListResponse(1, 1, 5); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(customPageSize), { + wrapper, + }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + customPageSize, + null, + ); + }); + + it("should pass searchEmail to userListCall when provided", async () => { + const searchEmail = "search@example.com"; + const mockResponse = buildUserListResponse(1, 1, 1); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(50, searchEmail), { + wrapper, + }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + 50, + searchEmail, + ); + }); + + it("should pass null for searchEmail when not provided", async () => { + const mockResponse = buildUserListResponse(1, 1); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(50, undefined), { + wrapper, + }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + 50, + null, + ); + }); + + it("should fetch the next page when more pages are available", async () => { + const page1 = buildUserListResponse(1, 3); + const page2 = buildUserListResponse(2, 3); + let callCount = 0; + (userListCall as any).mockImplementation(async () => { + callCount++; + return callCount === 1 ? page1 : page2; + }); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(result.current.hasNextPage).toBe(true); + + result.current.fetchNextPage(); + + await waitFor(() => { + expect(result.current.isFetchingNextPage).toBe(false); + expect(result.current.data?.pages).toHaveLength(2); + }); + + expect(result.current.data?.pages[1]).toEqual(page2); + expect(userListCall).toHaveBeenCalledTimes(2); + expect(userListCall).toHaveBeenLastCalledWith( + "test-access-token", + null, + 2, + 50, + null, + ); + }); + + it("should not have a next page when on the last page", async () => { + const lastPage = buildUserListResponse(2, 2); + (userListCall as any).mockResolvedValue(lastPage); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(result.current.hasNextPage).toBe(false); + }); + + it("should not execute query when accessToken is missing", async () => { + mockUseAuthorized.mockReturnValue({ + ...DEFAULT_AUTH, + accessToken: null, + }); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + expect(result.current.isLoading).toBe(false); + expect(result.current.data).toBeUndefined(); + expect(result.current.isFetched).toBe(false); + expect(userListCall).not.toHaveBeenCalled(); + }); + + it("should not execute query when userRole is not an admin role", async () => { + mockUseAuthorized.mockReturnValue({ + ...DEFAULT_AUTH, + userRole: "Internal User", + }); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + expect(result.current.isLoading).toBe(false); + expect(result.current.data).toBeUndefined(); + expect(result.current.isFetched).toBe(false); + expect(userListCall).not.toHaveBeenCalled(); + }); + + it("should not execute query when both accessToken and userRole are invalid", async () => { + mockUseAuthorized.mockReturnValue({ + ...DEFAULT_AUTH, + accessToken: null, + userRole: "App User", + }); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + expect(result.current.isLoading).toBe(false); + expect(result.current.data).toBeUndefined(); + expect(result.current.isFetched).toBe(false); + expect(userListCall).not.toHaveBeenCalled(); + }); + + it("should execute query for each admin role", async () => { + const adminRoles = [ + "Admin", + "Admin Viewer", + "proxy_admin", + "proxy_admin_viewer", + "org_admin", + ]; + + for (const role of adminRoles) { + vi.clearAllMocks(); + queryClient = new QueryClient({ + defaultOptions: { queries: { retry: false } }, + }); + const mockResponse = buildUserListResponse(1, 1); + (userListCall as any).mockResolvedValue(mockResponse); + mockUseAuthorized.mockReturnValue({ ...DEFAULT_AUTH, userRole: role }); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledTimes(1); + } + }); + + it("should handle error when userListCall fails", async () => { + const testError = new Error("Failed to fetch users"); + (userListCall as any).mockRejectedValue(testError); + + const { result } = renderHook(() => useInfiniteUsers(), { wrapper }); + + await waitFor(() => { + expect(result.current.isError).toBe(true); + }); + + expect(result.current.error).toEqual(testError); + expect(result.current.data).toBeUndefined(); + }); + + it("should pass empty string searchEmail as null", async () => { + const mockResponse = buildUserListResponse(1, 1); + (userListCall as any).mockResolvedValue(mockResponse); + + const { result } = renderHook(() => useInfiniteUsers(50, ""), { + wrapper, + }); + + await waitFor(() => { + expect(result.current.isSuccess).toBe(true); + }); + + expect(userListCall).toHaveBeenCalledWith( + "test-access-token", + null, + 1, + 50, + null, + ); + }); +}); diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.ts new file mode 100644 index 0000000000..cb30299f46 --- /dev/null +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/users/useUsers.ts @@ -0,0 +1,41 @@ +import { userListCall, UserListResponse } from "@/components/networking"; +import { useInfiniteQuery } from "@tanstack/react-query"; +import { createQueryKeys } from "../common/queryKeysFactory"; +import { all_admin_roles } from "@/utils/roles"; +import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; + +const infiniteUsersKeys = createQueryKeys("infiniteUsers"); + +const DEFAULT_PAGE_SIZE = 50; + +export const useInfiniteUsers = ( + pageSize: number = DEFAULT_PAGE_SIZE, + searchEmail?: string, +) => { + const { accessToken, userRole } = useAuthorized(); + return useInfiniteQuery({ + queryKey: infiniteUsersKeys.list({ + filters: { + pageSize, + ...(searchEmail && { searchEmail }), + }, + }), + queryFn: async ({ pageParam }) => { + return await userListCall( + accessToken!, + null, // userIDs + pageParam as number, // page + pageSize, // page_size + searchEmail || null, // userEmail + ); + }, + initialPageParam: 1, + getNextPageParam: (lastPage) => { + if (lastPage.page < lastPage.total_pages) { + return lastPage.page + 1; + } + return undefined; + }, + enabled: Boolean(accessToken) && all_admin_roles.includes(userRole!), + }); +}; diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx index 1a344d3dd9..5f5ffe83ba 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx @@ -2,6 +2,7 @@ import { useAgents } from "@/app/(dashboard)/hooks/agents/useAgents"; import { useCustomers } from "@/app/(dashboard)/hooks/customers/useCustomers"; import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; import { useCurrentUser } from "@/app/(dashboard)/hooks/users/useCurrentUser"; +import { useInfiniteUsers } from "@/app/(dashboard)/hooks/users/useUsers"; import { act, fireEvent, screen, waitFor } from "@testing-library/react"; import { beforeAll, beforeEach, describe, expect, it, vi } from "vitest"; import { renderWithProviders } from "../../../../tests/test-utils"; @@ -116,6 +117,10 @@ vi.mock("@/app/(dashboard)/hooks/users/useCurrentUser", () => ({ useCurrentUser: vi.fn(), })); +vi.mock("@/app/(dashboard)/hooks/users/useUsers", () => ({ + useInfiniteUsers: vi.fn(), +})); + vi.mock("antd", async (importOriginal) => { const React = await import("react"); const actual = await importOriginal(); @@ -223,6 +228,10 @@ vi.mock("@ant-design/icons", async () => { return React.createElement("span"); } + function LoadingOutlined(props: any) { + return React.createElement("span", { "data-testid": "loading-icon", ...props }); + } + return { GlobalOutlined: Icon, BankOutlined: Icon, @@ -235,6 +244,8 @@ vi.mock("@ant-design/icons", async () => { ClockCircleOutlined: Icon, CalendarOutlined: Icon, InfoCircleOutlined: Icon, + UserOutlined: Icon, + LoadingOutlined, }; }); @@ -320,11 +331,13 @@ vi.mock("@tremor/react", async () => { describe("UsagePage", () => { const mockUserDailyActivityAggregatedCall = vi.mocked(networking.userDailyActivityAggregatedCall); + const mockUserDailyActivityCall = vi.mocked(networking.userDailyActivityCall); const mockTagListCall = vi.mocked(networking.tagListCall); const mockUseCustomers = vi.mocked(useCustomers); const mockUseAgents = vi.mocked(useAgents); const mockUseAuthorized = vi.mocked(useAuthorized); const mockUseCurrentUser = vi.mocked(useCurrentUser); + const mockUseInfiniteUsers = vi.mocked(useInfiniteUsers); const mockSpendData = { results: [ @@ -487,6 +500,8 @@ describe("UsagePage", () => { beforeEach(() => { mockUseAuthorized.mockReturnValue({ + isLoading: false, + isAuthorized: true, token: "mock-token", accessToken: "test-token", userId: "user-123", @@ -505,8 +520,30 @@ describe("UsagePage", () => { error: null, } as any); mockUserDailyActivityAggregatedCall.mockClear(); + mockUserDailyActivityCall.mockClear(); mockTagListCall.mockClear(); mockUserDailyActivityAggregatedCall.mockResolvedValue(mockSpendData); + mockUseInfiniteUsers.mockReturnValue({ + data: { + pages: [ + { + users: [ + { user_id: "user-001", user_alias: "Alice", user_email: "alice@example.com" }, + { user_id: "user-002", user_alias: null, user_email: "bob@example.com" }, + { user_id: "user-003", user_alias: null, user_email: null }, + ], + page: 1, + total_pages: 1, + total_count: 3, + }, + ], + pageParams: [1], + }, + fetchNextPage: vi.fn(), + hasNextPage: false, + isFetchingNextPage: false, + isLoading: false, + } as any); mockTagListCall.mockResolvedValue({}); mockUseCustomers.mockReturnValue({ data: [], @@ -661,4 +698,434 @@ describe("UsagePage", () => { expect(entityUsageElements.length).toBeGreaterThan(0); }); }); + + describe("admin user selector", () => { + it("should render user selector for admin users in global view", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Admin should see the user selector select element with the placeholder attribute + const userSelects = screen.getAllByRole("combobox"); + const userSelect = userSelects.find( + (el) => el.getAttribute("placeholder") === "All Users (Global View)", + ); + expect(userSelect).toBeDefined(); + }); + + it("should format user options with alias when available", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // User with alias should show "alias (id)" + expect(screen.getByText("Alice (user-001)")).toBeInTheDocument(); + // User without alias but with email should show "email (id)" + expect(screen.getByText("bob@example.com (user-002)")).toBeInTheDocument(); + // User with neither alias nor email should show just the id + expect(screen.getByText("user-003")).toBeInTheDocument(); + }); + + it("should call useInfiniteUsers with debounced search", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // useInfiniteUsers should be called with default page size + expect(mockUseInfiniteUsers).toHaveBeenCalledWith(50, undefined); + }); + + it("should deduplicate users across pages", async () => { + mockUseInfiniteUsers.mockReturnValue({ + data: { + pages: [ + { + users: [ + { user_id: "user-dup", user_alias: "DupUser", user_email: null }, + ], + page: 1, + total_pages: 2, + total_count: 2, + }, + { + users: [ + { user_id: "user-dup", user_alias: "DupUser", user_email: null }, + { user_id: "user-unique", user_alias: "UniqueUser", user_email: null }, + ], + page: 2, + total_pages: 2, + total_count: 2, + }, + ], + pageParams: [1, 2], + }, + fetchNextPage: vi.fn(), + hasNextPage: false, + isFetchingNextPage: false, + isLoading: false, + } as any); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Duplicate user should appear only once + const dupElements = screen.getAllByText("DupUser (user-dup)"); + expect(dupElements).toHaveLength(1); + // Unique user should also appear + expect(screen.getByText("UniqueUser (user-unique)")).toBeInTheDocument(); + }); + + it("should pass selected userId to aggregated call", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Initially called with null (global view for admin) + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalledWith( + "test-token", + expect.any(Date), + expect.any(Date), + null, + ); + }); + }); + + describe("non-admin user behavior", () => { + it("should not render user selector for non-admin users", async () => { + mockUseAuthorized.mockReturnValue({ + isLoading: false, + isAuthorized: true, + token: "mock-token", + accessToken: "test-token", + userId: "user-123", + userEmail: "test@example.com", + userRole: "Internal User", + premiumUser: false, + disabledPersonalKeyCreation: false, + showSSOBanner: false, + }); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Non-admin should not see the user selector + const userSelects = screen.getAllByRole("combobox"); + const userSelect = userSelects.find( + (el) => el.getAttribute("placeholder") === "All Users (Global View)", + ); + expect(userSelect).toBeUndefined(); + }); + + it("should always pass own userId for non-admin users", async () => { + mockUseAuthorized.mockReturnValue({ + isLoading: false, + isAuthorized: true, + token: "mock-token", + accessToken: "test-token", + userId: "user-123", + userEmail: "test@example.com", + userRole: "Internal User", + premiumUser: false, + disabledPersonalKeyCreation: false, + showSSOBanner: false, + }); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalledWith( + "test-token", + expect.any(Date), + expect.any(Date), + "user-123", + ); + }); + }); + }); + + describe("aggregated endpoint fallback", () => { + it("should fall back to paginated calls when aggregated endpoint fails", async () => { + mockUserDailyActivityAggregatedCall.mockRejectedValue(new Error("Aggregated endpoint not available")); + mockUserDailyActivityCall.mockResolvedValue({ + ...mockSpendData, + metadata: { + ...mockSpendData.metadata, + total_pages: 1, + page: 1, + }, + }); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + expect(mockUserDailyActivityCall).toHaveBeenCalled(); + }); + + // Should still render the data from the paginated fallback + expect(screen.getByText("1,500")).toBeInTheDocument(); + }); + + it("should aggregate multiple pages when paginated endpoint has more than 1 page", async () => { + mockUserDailyActivityAggregatedCall.mockRejectedValue(new Error("Not available")); + + const page1Data = { + results: [mockSpendData.results[0]], + metadata: { + total_spend: 60, + total_api_requests: 700, + total_successful_requests: 680, + total_failed_requests: 20, + total_tokens: 35000, + total_pages: 2, + page: 1, + }, + }; + + const page2Data = { + results: [ + { + ...mockSpendData.results[0], + date: "2025-01-02", + }, + ], + metadata: { + total_spend: 65.75, + total_api_requests: 800, + total_successful_requests: 770, + total_failed_requests: 30, + total_tokens: 40000, + total_pages: 2, + page: 2, + }, + }; + + mockUserDailyActivityCall + .mockResolvedValueOnce(page1Data) + .mockResolvedValueOnce(page2Data); + + renderWithProviders(); + + await waitFor(() => { + // Both pages should have been fetched + expect(mockUserDailyActivityCall).toHaveBeenCalledTimes(2); + }); + + // Verify first page call + expect(mockUserDailyActivityCall).toHaveBeenCalledWith( + "test-token", + expect.any(Date), + expect.any(Date), + 1, + null, + ); + + // Verify second page call + expect(mockUserDailyActivityCall).toHaveBeenCalledWith( + "test-token", + expect.any(Date), + expect.any(Date), + 2, + null, + ); + }); + }); + + describe("MCP Server Activity tab", () => { + it("should render MCP Server Activity tab", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // The tab list should contain MCP Server Activity + expect(screen.getByText("MCP Server Activity")).toBeInTheDocument(); + }); + }); + + describe("User Agent Activity view", () => { + it("should render User Agent Activity component when view is selected", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + const usageSelect = screen.getByTestId("usage-view-select"); + act(() => { + fireEvent.change(usageSelect, { target: { value: "user-agent-activity" } }); + }); + + await waitFor(() => { + // "User Agent Activity" appears both in the select option and in the rendered component + const elements = screen.getAllByText("User Agent Activity"); + expect(elements.length).toBeGreaterThanOrEqual(2); + }); + }); + }); + + describe("Export Data button", () => { + it("should render Export Data button in global view for admin", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + expect(screen.getByText("Export Data")).toBeInTheDocument(); + }); + }); + + describe("model view toggle", () => { + it("should show Public Model Name view by default", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Default should be "groups" view showing "Top Public Model Names" + expect(screen.getByText("Top Public Model Names")).toBeInTheDocument(); + expect(screen.getByText("Public Model Name")).toBeInTheDocument(); + expect(screen.getByText("Litellm Model Name")).toBeInTheDocument(); + }); + + it("should switch to Litellm Model Name view on toggle click", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Click the "Litellm Model Name" toggle + const litellmToggle = screen.getByText("Litellm Model Name"); + act(() => { + fireEvent.click(litellmToggle); + }); + + // Title should change to "Top Litellm Models" + await waitFor(() => { + expect(screen.getByText("Top Litellm Models")).toBeInTheDocument(); + }); + }); + + it("should switch back to Public Model Name view", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + // Switch to individual first + const litellmToggle = screen.getByText("Litellm Model Name"); + act(() => { + fireEvent.click(litellmToggle); + }); + + await waitFor(() => { + expect(screen.getByText("Top Litellm Models")).toBeInTheDocument(); + }); + + // Switch back to groups + const publicToggle = screen.getByText("Public Model Name"); + act(() => { + fireEvent.click(publicToggle); + }); + + await waitFor(() => { + expect(screen.getByText("Top Public Model Names")).toBeInTheDocument(); + }); + }); + }); + + describe("customer usage banner", () => { + it("should show and be dismissible in customer view", async () => { + mockUseCustomers.mockReturnValue({ + data: mockCustomers, + isLoading: false, + error: null, + } as any); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + const usageSelect = screen.getByTestId("usage-view-select"); + act(() => { + fireEvent.change(usageSelect, { target: { value: "customer" } }); + }); + + await waitFor(() => { + expect(screen.getByText("Customer usage is a new feature.")).toBeInTheDocument(); + }); + + // Click the close button + const closeButton = screen.getByLabelText("Close"); + act(() => { + fireEvent.click(closeButton); + }); + + await waitFor(() => { + expect(screen.queryByText("Customer usage is a new feature.")).not.toBeInTheDocument(); + }); + }); + }); + + describe("agent usage banner", () => { + it("should show agent usage banner with A2A info", async () => { + mockUseAgents.mockReturnValue({ + data: { agents: mockAgents }, + isLoading: false, + error: null, + } as any); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + const usageSelect = screen.getByTestId("usage-view-select"); + act(() => { + fireEvent.change(usageSelect, { target: { value: "agent" } }); + }); + + await waitFor(() => { + expect(screen.getByText("Agent usage (A2A) is a new feature.")).toBeInTheDocument(); + }); + }); + }); + + describe("tab navigation in global view", () => { + it("should render all expected tabs", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + expect(screen.getByText("Cost")).toBeInTheDocument(); + expect(screen.getByText("Model Activity")).toBeInTheDocument(); + expect(screen.getByText("Key Activity")).toBeInTheDocument(); + expect(screen.getByText("MCP Server Activity")).toBeInTheDocument(); + expect(screen.getByText("Endpoint Activity")).toBeInTheDocument(); + }); + }); }); diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx index 688ee73767..f89897a80d 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx @@ -6,7 +6,7 @@ * Works at 1m+ spend logs, by querying an aggregate table instead. */ -import { InfoCircleOutlined } from "@ant-design/icons"; +import { InfoCircleOutlined, LoadingOutlined, UserOutlined } from "@ant-design/icons"; import { BarChart, Card, @@ -21,13 +21,15 @@ import { Text, Title } from "@tremor/react"; -import { Alert, Segmented, Tooltip } from "antd"; -import React, { useCallback, useEffect, useMemo, useState } from "react"; +import { Alert, Segmented, Select, Tooltip } from "antd"; +import { useDebouncedState } from "@tanstack/react-pacer/debouncer"; +import React, { useCallback, useEffect, useMemo, useState, type UIEvent } from "react"; import { useAgents } from "@/app/(dashboard)/hooks/agents/useAgents"; import { useCustomers } from "@/app/(dashboard)/hooks/customers/useCustomers"; import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; import { useCurrentUser } from "@/app/(dashboard)/hooks/users/useCurrentUser"; +import { useInfiniteUsers } from "@/app/(dashboard)/hooks/users/useUsers"; import { formatNumberWithCommas } from "@/utils/dataUtils"; import { Button } from "@tremor/react"; import { all_admin_roles } from "../../../utils/roles"; @@ -81,6 +83,62 @@ const UsagePage: React.FC = ({ teams, organizations }) => { const { data: currentUser } = useCurrentUser(); console.log(`currentUser: ${JSON.stringify(currentUser)}`); console.log(`currentUser max budget: ${currentUser?.max_budget}`); + const isAdmin = all_admin_roles.includes(userRole || ""); + + // Debounced search for user selector + const [userSearchInput, setUserSearchInput] = useState(""); + const [debouncedUserSearch, setDebouncedUserSearch] = useDebouncedState("", { + wait: 300, + }); + + const { + data: usersInfiniteData, + fetchNextPage: fetchNextUsersPage, + hasNextPage: hasNextUsersPage, + isFetchingNextPage: isFetchingNextUsersPage, + isLoading: isLoadingUsers, + } = useInfiniteUsers(50, debouncedUserSearch || undefined); + + const userOptions = useMemo(() => { + if (!usersInfiniteData?.pages) return []; + const seen = new Set(); + const result: { value: string; label: string }[] = []; + for (const page of usersInfiniteData.pages) { + for (const user of page.users) { + if (seen.has(user.user_id)) continue; + seen.add(user.user_id); + result.push({ + value: user.user_id, + label: user.user_alias + ? `${user.user_alias} (${user.user_id})` + : user.user_email + ? `${user.user_email} (${user.user_id})` + : user.user_id, + }); + } + } + return result; + }, [usersInfiniteData]); + + const handleUserSearchChange = (value: string) => { + setUserSearchInput(value); + setDebouncedUserSearch(value); + }; + + const handleUserPopupScroll = (e: UIEvent) => { + const target = e.currentTarget; + const scrollRatio = + (target.scrollTop + target.clientHeight) / target.scrollHeight; + if (scrollRatio >= 0.8 && hasNextUsersPage && !isFetchingNextUsersPage) { + fetchNextUsersPage(); + } + }; + + // For admins: null means global view (all users), a string means filter by that user + // For non-admins: always set to their own user ID + const [selectedUserId, setSelectedUserId] = useState( + isAdmin ? null : (userID || null) + ); const [modelViewType, setModelViewType] = useState<"groups" | "individual">("groups"); const [isCloudZeroModalOpen, setIsCloudZeroModalOpen] = useState(false); const [isGlobalExportModalOpen, setIsGlobalExportModalOpen] = useState(false); @@ -301,6 +359,9 @@ const UsagePage: React.FC = ({ teams, organizations }) => { const fetchUserSpendData = useCallback(async () => { if (!accessToken || !dateValue.from || !dateValue.to) return; + // For non-admins, always pass their own user_id + const effectiveUserId = isAdmin ? selectedUserId : (userID || null); + setLoading(true); // Create new Date objects to avoid mutating the original dates @@ -310,14 +371,14 @@ const UsagePage: React.FC = ({ teams, organizations }) => { try { // Prefer aggregated endpoint to avoid many page requests try { - const aggregated = await userDailyActivityAggregatedCall(accessToken, startTime, endTime); + const aggregated = await userDailyActivityAggregatedCall(accessToken, startTime, endTime, effectiveUserId); setUserSpendData(aggregated); return; } catch (e) { // Fallback to paginated calls if aggregated endpoint is unavailable } - const firstPageData = await userDailyActivityCall(accessToken, startTime, endTime); + const firstPageData = await userDailyActivityCall(accessToken, startTime, endTime, 1, effectiveUserId); if (firstPageData.metadata.total_pages <= 1) { setUserSpendData(firstPageData); @@ -328,7 +389,7 @@ const UsagePage: React.FC = ({ teams, organizations }) => { const aggregatedMetadata = { ...firstPageData.metadata }; for (let page = 2; page <= firstPageData.metadata.total_pages; page++) { - const pageData = await userDailyActivityCall(accessToken, startTime, endTime, page); + const pageData = await userDailyActivityCall(accessToken, startTime, endTime, page, effectiveUserId); allResults.push(...pageData.results); if (pageData.metadata) { aggregatedMetadata.total_spend += pageData.metadata.total_spend || 0; @@ -349,7 +410,7 @@ const UsagePage: React.FC = ({ teams, organizations }) => { setLoading(false); setIsDateChanging(false); } - }, [accessToken, dateValue.from, dateValue.to]); + }, [accessToken, dateValue.from, dateValue.to, selectedUserId, isAdmin, userID]); // Super responsive date change handler const handleDateChange = useCallback((newValue: DateRangePickerValue) => { @@ -423,12 +484,13 @@ const UsagePage: React.FC = ({ teams, organizations }) => { setUsageView(value)} - isAdmin={all_admin_roles.includes(userRole || "")} + isAdmin={isAdmin} />
{/* Your Usage Panel */} {usageView === "global" && ( + <>
@@ -460,24 +522,61 @@ const UsagePage: React.FC = ({ teams, organizations }) => { {/* Total Spend Card */} - - Project Spend{" "} - {dateValue.from && dateValue.to && ( - <> - {dateValue.from.toLocaleDateString("en-US", { - month: "short", - day: "numeric", - year: dateValue.from.getFullYear() !== dateValue.to.getFullYear() ? "numeric" : undefined, - })} - {" - "} - {dateValue.to.toLocaleDateString("en-US", { - month: "short", - day: "numeric", - year: "numeric", - })} - +
+ + Project Spend{" "} + {dateValue.from && dateValue.to && ( + <> + {dateValue.from.toLocaleDateString("en-US", { + month: "short", + day: "numeric", + year: dateValue.from.getFullYear() !== dateValue.to.getFullYear() ? "numeric" : undefined, + })} + {" - "} + {dateValue.to.toLocaleDateString("en-US", { + month: "short", + day: "numeric", + year: "numeric", + })} + + )} + + {isAdmin && ( +
+ +