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195 lines
7.2 KiB
TypeScript
195 lines
7.2 KiB
TypeScript
/**
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* @vitest-environment node
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*/
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import { beforeEach, describe, expect, it, vi } from 'vitest'
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import type { ProviderRequest } from '@/providers/types'
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const {
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mockAzureOpenAI,
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azureOpenAIArgs,
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mockChatCreate,
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mockValidate,
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mockCreatePinnedFetch,
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mockExecuteResponses,
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sentinelFetch,
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mockIsChatCompletionsEndpoint,
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mockIsResponsesEndpoint,
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envState,
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} = vi.hoisted(() => {
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const azureOpenAIArgs: Array<Record<string, unknown>> = []
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const sentinelFetch = vi.fn()
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const mockChatCreate = vi.fn()
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class MockAzureOpenAI {
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chat = { completions: { create: mockChatCreate } }
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constructor(opts: Record<string, unknown>) {
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azureOpenAIArgs.push(opts)
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}
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}
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return {
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mockAzureOpenAI: MockAzureOpenAI,
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azureOpenAIArgs,
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mockChatCreate,
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mockValidate: vi.fn(),
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mockCreatePinnedFetch: vi.fn(() => sentinelFetch),
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mockExecuteResponses: vi.fn(),
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sentinelFetch,
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mockIsChatCompletionsEndpoint: vi.fn(() => false),
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mockIsResponsesEndpoint: vi.fn(() => false),
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envState: {
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AZURE_OPENAI_ENDPOINT: undefined as string | undefined,
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AZURE_OPENAI_API_VERSION: undefined as string | undefined,
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},
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}
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})
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vi.mock('openai', () => ({ AzureOpenAI: mockAzureOpenAI }))
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vi.mock('@/lib/core/config/env', () => ({ env: envState }))
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vi.mock('@/providers', () => ({ MAX_TOOL_ITERATIONS: 20 }))
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vi.mock('@/lib/core/security/input-validation.server', () => ({
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validateUrlWithDNS: mockValidate,
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createPinnedFetch: mockCreatePinnedFetch,
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}))
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vi.mock('@/providers/openai/core', () => ({
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executeResponsesProviderRequest: mockExecuteResponses,
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}))
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vi.mock('@/providers/azure-openai/utils', () => ({
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isChatCompletionsEndpoint: mockIsChatCompletionsEndpoint,
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isResponsesEndpoint: mockIsResponsesEndpoint,
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extractBaseUrl: vi.fn((url: string) => url),
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extractDeploymentFromUrl: vi.fn(() => null),
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extractApiVersionFromUrl: vi.fn(() => null),
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createReadableStreamFromAzureOpenAIStream: vi.fn(),
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checkForForcedToolUsage: vi.fn(() => ({ hasUsedForcedTool: false, usedForcedTools: [] })),
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}))
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vi.mock('@/providers/models', () => ({
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getProviderFileAttachment: vi
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.fn()
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.mockReturnValue({ maxBytes: 10 * 1024 * 1024, strategy: 'inline' }),
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INLINE_ATTACHMENT_MAX_BYTES: 10 * 1024 * 1024,
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getProviderModels: vi.fn(() => []),
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getProviderDefaultModel: vi.fn(() => 'azure/gpt-4o'),
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}))
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vi.mock('@/providers/attachments', () => ({
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prepareProviderAttachments: vi.fn(() => []),
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}))
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vi.mock('@/providers/trace-enrichment', () => ({
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enrichLastModelSegmentFromChatCompletions: vi.fn(),
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}))
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vi.mock('@/providers/utils', () => ({
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calculateCost: vi.fn(() => ({ input: 0, output: 0, total: 0 })),
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prepareToolExecution: vi.fn((_tool, args) => ({ toolParams: args, executionParams: args })),
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prepareToolsWithUsageControl: vi.fn(() => ({
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tools: [],
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toolChoice: undefined,
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forcedTools: [],
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})),
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sumToolCosts: vi.fn(() => 0),
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}))
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vi.mock('@/tools', () => ({ executeTool: vi.fn() }))
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import { azureOpenAIProvider } from '@/providers/azure-openai/index'
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function request(overrides: Partial<ProviderRequest>): ProviderRequest {
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return { model: 'azure/gpt-4o', apiKey: 'k', messages: [], ...overrides }
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}
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/** Config object passed to the Responses core on the Nth call. */
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const responsesConfig = (call = 0) => mockExecuteResponses.mock.calls[call][1]
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describe('azureOpenAIProvider — SSRF pinning', () => {
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beforeEach(() => {
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vi.clearAllMocks()
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azureOpenAIArgs.length = 0
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envState.AZURE_OPENAI_ENDPOINT = undefined
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envState.AZURE_OPENAI_API_VERSION = undefined
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mockIsChatCompletionsEndpoint.mockReturnValue(false)
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mockIsResponsesEndpoint.mockReturnValue(false)
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mockExecuteResponses.mockResolvedValue({ content: 'ok' })
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})
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describe('Responses API path', () => {
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it('validates and threads the pinned fetch into the Responses core for a user endpoint', async () => {
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mockValidate.mockResolvedValue({ isValid: true, resolvedIP: '203.0.113.10' })
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await azureOpenAIProvider.executeRequest(
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request({ azureEndpoint: 'https://rebind.attacker.tld' })
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)
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expect(mockValidate).toHaveBeenCalledWith('https://rebind.attacker.tld', 'azureEndpoint')
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expect(mockCreatePinnedFetch).toHaveBeenCalledWith('203.0.113.10')
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expect(responsesConfig().fetch).toBe(sentinelFetch)
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})
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it('passes no custom fetch when the endpoint comes from trusted server env', async () => {
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envState.AZURE_OPENAI_ENDPOINT = 'https://trusted.openai.azure.com'
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await azureOpenAIProvider.executeRequest(request({ azureEndpoint: undefined }))
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expect(mockValidate).not.toHaveBeenCalled()
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expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
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expect(responsesConfig().fetch).toBeUndefined()
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})
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it('throws and never reaches the Responses core when validation blocks the endpoint', async () => {
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mockValidate.mockResolvedValue({ isValid: false, error: 'resolves to a blocked IP address' })
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await expect(
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azureOpenAIProvider.executeRequest(
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request({ azureEndpoint: 'https://rebind.attacker.tld' })
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)
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).rejects.toThrow('Invalid Azure OpenAI endpoint')
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expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
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expect(mockExecuteResponses).not.toHaveBeenCalled()
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})
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it('fails closed when validation passes but yields no resolvable IP to pin', async () => {
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mockValidate.mockResolvedValue({ isValid: true })
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await expect(
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azureOpenAIProvider.executeRequest(
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request({ azureEndpoint: 'https://rebind.attacker.tld' })
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)
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).rejects.toThrow('could not resolve a pinnable IP address')
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expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
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expect(mockExecuteResponses).not.toHaveBeenCalled()
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})
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})
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describe('Chat Completions path', () => {
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it('constructs the AzureOpenAI client with the pinned fetch for a user endpoint', async () => {
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mockIsChatCompletionsEndpoint.mockReturnValue(true)
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mockValidate.mockResolvedValue({ isValid: true, resolvedIP: '203.0.113.10' })
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mockChatCreate.mockResolvedValue({
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choices: [{ message: { content: 'hi', tool_calls: undefined } }],
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usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
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})
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await azureOpenAIProvider.executeRequest(
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request({
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azureEndpoint: 'https://rebind.attacker.tld/openai/deployments/gpt-4o/chat/completions',
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})
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)
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expect(mockCreatePinnedFetch).toHaveBeenCalledWith('203.0.113.10')
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expect(azureOpenAIArgs[0]).toMatchObject({ fetch: sentinelFetch })
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})
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it('constructs the AzureOpenAI client without a custom fetch for a trusted env endpoint', async () => {
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mockIsChatCompletionsEndpoint.mockReturnValue(true)
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envState.AZURE_OPENAI_ENDPOINT =
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'https://trusted.openai.azure.com/openai/deployments/gpt-4o/chat/completions'
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mockChatCreate.mockResolvedValue({
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choices: [{ message: { content: 'hi', tool_calls: undefined } }],
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usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
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})
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await azureOpenAIProvider.executeRequest(request({ azureEndpoint: undefined }))
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expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
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expect(azureOpenAIArgs[0]).not.toHaveProperty('fetch')
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})
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})
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})
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