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simstudioai--sim/apps/sim/providers/azure-anthropic/index.ts
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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

105 lines
3.8 KiB
TypeScript

import Anthropic from '@anthropic-ai/sdk'
import { createLogger } from '@sim/logger'
import { env } from '@/lib/core/config/env'
import { createPinnedFetch, validateUrlWithDNS } from '@/lib/core/security/input-validation.server'
import type { StreamingExecution } from '@/executor/types'
import { executeAnthropicProviderRequest } from '@/providers/anthropic/core'
import { getCachedProviderClient } from '@/providers/client-cache'
import { getProviderDefaultModel, getProviderModels } from '@/providers/models'
import type { ProviderConfig, ProviderRequest, ProviderResponse } from '@/providers/types'
const logger = createLogger('AzureAnthropicProvider')
export const azureAnthropicProvider: ProviderConfig = {
id: 'azure-anthropic',
name: 'Azure Anthropic',
description: 'Anthropic Claude models via Azure AI Foundry',
version: '1.0.0',
models: getProviderModels('azure-anthropic'),
defaultModel: getProviderDefaultModel('azure-anthropic'),
executeRequest: async (
request: ProviderRequest
): Promise<ProviderResponse | StreamingExecution> => {
const userProvidedEndpoint = request.azureEndpoint
const azureEndpoint = userProvidedEndpoint || env.AZURE_ANTHROPIC_ENDPOINT
if (!azureEndpoint) {
throw new Error(
'Azure endpoint is required for Azure Anthropic. Please provide it via the azureEndpoint parameter or AZURE_ANTHROPIC_ENDPOINT environment variable.'
)
}
let pinnedFetch: typeof fetch | undefined
let pinnedIP: string | undefined
if (userProvidedEndpoint) {
const validation = await validateUrlWithDNS(userProvidedEndpoint, 'azureEndpoint')
if (!validation.isValid) {
logger.warn('Blocked SSRF attempt via azureEndpoint', {
endpoint: userProvidedEndpoint,
error: validation.error,
})
throw new Error(`Invalid Azure Anthropic endpoint: ${validation.error}`)
}
if (!validation.resolvedIP) {
throw new Error('Invalid Azure Anthropic endpoint: could not resolve a pinnable IP address')
}
pinnedIP = validation.resolvedIP
pinnedFetch = createPinnedFetch(pinnedIP)
}
const apiKey = request.apiKey
if (!apiKey) {
throw new Error('API key is required for Azure Anthropic.')
}
// Strip the azure-anthropic/ prefix from the model name if present
const modelName = request.model.replace(/^azure-anthropic\//, '')
// Azure AI Foundry hosts Anthropic models at {endpoint}/anthropic
// The SDK appends /v1/messages automatically
const baseURL = `${azureEndpoint.replace(/\/$/, '')}/anthropic`
const anthropicVersion =
request.azureApiVersion || env.AZURE_ANTHROPIC_API_VERSION || '2023-06-01'
return executeAnthropicProviderRequest(
{
...request,
model: modelName,
apiKey,
},
{
providerId: 'azure-anthropic',
providerLabel: 'Azure Anthropic',
createClient: (apiKey, useNativeStructuredOutputs) => {
const cacheKey = [
'azure-anthropic',
apiKey,
baseURL,
anthropicVersion,
pinnedIP ?? 'no-pin',
useNativeStructuredOutputs ? 'beta' : 'default',
].join('::')
return getCachedProviderClient(
cacheKey,
() =>
new Anthropic({
baseURL,
apiKey,
...(pinnedFetch ? { fetch: pinnedFetch } : {}),
defaultHeaders: {
'api-key': apiKey,
'anthropic-version': anthropicVersion,
...(useNativeStructuredOutputs
? { 'anthropic-beta': 'structured-outputs-2025-11-13' }
: {}),
},
})
)
},
logger,
}
)
},
}