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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

195 lines
7.2 KiB
TypeScript

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