@mastra/core/dist/chunk-IWU4YSYT.cjs.map

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

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{ createAnthropic } from '@ai-sdk/anthropic-v5';\nimport { createGoogleGenerativeAI } from '@ai-sdk/google-v5';\nimport { createOpenAICompatible } from '@ai-sdk/openai-compatible-v5';\nimport { createOpenAI } from '@ai-sdk/openai-v5';\nimport type { LanguageModelV2 } from '@ai-sdk/provider-v5';\nimport { InMemoryServerCache } from '../../../cache/inmemory.js';\nimport { MastraError } from '../../../error/index.js';\nimport { MastraModelGateway } from './base.js';\nimport type { ProviderConfig } from './base.js';\n\ninterface NetlifyProviderResponse {\n  token_env_var: string;\n  url_env_var: string;\n  models: string[];\n}\ninterface NetlifyResponse {\n  providers: Record<string, NetlifyProviderResponse>;\n}\n\ninterface NetlifyTokenResponse {\n  token: string;\n  url: string;\n  expires_at: number;\n}\n\ninterface CachedToken {\n  token: string;\n  url: string;\n  expiresAt: number;\n}\n\ninterface TokenData {\n  token: string;\n  url: string;\n}\n\nexport class NetlifyGateway extends MastraModelGateway {\n  readonly id = 'netlify';\n  readonly name = 'Netlify AI Gateway';\n  private tokenCache = new InMemoryServerCache();\n\n  async fetchProviders(): Promise<Record<string, ProviderConfig>> {\n    const response = await fetch('https://api.netlify.com/api/v1/ai-gateway/providers');\n    if (!response.ok) {\n      throw new Error(`Failed to fetch from Netlify: ${response.statusText}`);\n    }\n    const data = (await response.json()) as NetlifyResponse;\n    const config: ProviderConfig = {\n      apiKeyEnvVar: ['NETLIFY_TOKEN', 'NETLIFY_SITE_ID'],\n      apiKeyHeader: 'Authorization',\n      name: `Netlify`,\n      gateway: `netlify`,\n      models: [],\n      docUrl: 'https://docs.netlify.com/build/ai-gateway/overview/',\n    };\n    // Convert Netlify format to our standard format\n    for (const [providerId, provider] of Object.entries(data.providers)) {\n      for (const model of provider.models) {\n        config.models.push(`${providerId}/${model}`);\n      }\n    }\n    // Return with gateway ID as key - registry generator will detect this and avoid doubling the prefix\n    return { netlify: config };\n  }\n\n  async buildUrl(routerId: string, envVars?: typeof process.env): Promise<string> {\n    // Check for Netlify site ID first (for token exchange)\n    const siteId = envVars?.['NETLIFY_SITE_ID'] || process.env['NETLIFY_SITE_ID'];\n    const netlifyToken = envVars?.['NETLIFY_TOKEN'] || process.env['NETLIFY_TOKEN'];\n\n    if (!netlifyToken) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_NO_TOKEN',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Missing NETLIFY_TOKEN environment variable required for model: ${routerId}`,\n      });\n    }\n\n    if (!siteId) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_NO_SITE_ID',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Missing NETLIFY_SITE_ID environment variable required for model: ${routerId}`,\n      });\n    }\n\n    try {\n      const tokenData = await this.getOrFetchToken(siteId, netlifyToken);\n      return tokenData.url.endsWith(`/`) ? tokenData.url.substring(0, tokenData.url.length - 1) : tokenData.url;\n    } catch (error) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_TOKEN_ERROR',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Failed to get Netlify AI Gateway token for model ${routerId}: ${error instanceof Error ? error.message : String(error)}`,\n      });\n    }\n  }\n\n  /**\n   * Get cached token or fetch a new site-specific AI Gateway token from Netlify\n   */\n  private async getOrFetchToken(siteId: string, netlifyToken: string): Promise<TokenData> {\n    const cacheKey = `netlify-token:${siteId}:${netlifyToken}`;\n\n    // Check cache first\n    const cached = (await this.tokenCache.get(cacheKey)) as CachedToken | undefined;\n    if (cached && cached.expiresAt > Date.now() / 1000 + 60) {\n      // Return cached token if it won't expire in the next minute\n      return { token: cached.token, url: cached.url };\n    }\n\n    // Fetch new token\n    const response = await fetch(`https://api.netlify.com/api/v1/sites/${siteId}/ai-gateway/token`, {\n      method: 'GET',\n      headers: {\n        Authorization: `Bearer ${netlifyToken}`,\n      },\n    });\n\n    if (!response.ok) {\n      const error = await response.text();\n      throw new Error(`Failed to get Netlify AI Gateway token: ${response.status} ${error}`);\n    }\n\n    const tokenResponse = (await response.json()) as NetlifyTokenResponse;\n\n    // Cache the token - InMemoryServerCache will handle the TTL\n    await this.tokenCache.set(cacheKey, {\n      token: tokenResponse.token,\n      url: tokenResponse.url,\n      expiresAt: tokenResponse.expires_at,\n    });\n\n    return { token: tokenResponse.token, url: tokenResponse.url };\n  }\n\n  /**\n   * Get cached token or fetch a new site-specific AI Gateway token from Netlify\n   */\n  async getApiKey(modelId: string): Promise<string> {\n    const siteId = process.env['NETLIFY_SITE_ID'];\n    const netlifyToken = process.env['NETLIFY_TOKEN'];\n\n    if (!netlifyToken) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_NO_TOKEN',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Missing NETLIFY_TOKEN environment variable required for model: ${modelId}`,\n      });\n    }\n\n    if (!siteId) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_NO_SITE_ID',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Missing NETLIFY_SITE_ID environment variable required for model: ${modelId}`,\n      });\n    }\n\n    try {\n      return (await this.getOrFetchToken(siteId, netlifyToken)).token;\n    } catch (error) {\n      throw new MastraError({\n        id: 'NETLIFY_GATEWAY_TOKEN_ERROR',\n        domain: 'LLM',\n        category: 'UNKNOWN',\n        text: `Failed to get Netlify AI Gateway token for model ${modelId}: ${error instanceof Error ? error.message : String(error)}`,\n      });\n    }\n  }\n\n  async resolveLanguageModel({\n    modelId,\n    providerId,\n    apiKey,\n    headers,\n  }: {\n    modelId: string;\n    providerId: string;\n    apiKey: string;\n    headers?: Record<string, string>;\n  }): Promise<LanguageModelV2> {\n    const baseURL = await this.buildUrl(`${providerId}/${modelId}`);\n\n    switch (providerId) {\n      case 'openai':\n        return createOpenAI({ apiKey, baseURL, headers }).responses(modelId);\n      case 'gemini':\n        return createGoogleGenerativeAI({\n          baseURL: `${baseURL}/v1beta/`,\n          apiKey,\n          headers: {\n            'user-agent': 'google-genai-sdk/',\n            ...(headers ? headers : {}),\n          },\n        }).chat(modelId);\n      case 'anthropic':\n        return createAnthropic({\n          apiKey,\n          baseURL: `${baseURL}/v1/`,\n          headers: {\n            'anthropic-version': '2023-06-01',\n            'user-agent': 'anthropic/',\n            ...(headers ? headers : {}),\n          },\n        })(modelId);\n      default:\n        return createOpenAICompatible({ name: providerId, apiKey, baseURL, supportsStructuredOutputs: true }).chatModel(\n          modelId,\n        );\n    }\n  }\n}\n"]}