ai-gateway-provider/dist/index.mjs.map

AI Gateway Provider for AI-SDK

{"version":3,"sources":["../src/providers.ts","../src/index.ts"],"sourcesContent":["export const providers = [\n\t{\n\t\tregex: /^https:\\/\\/api\\.openai\\.com\\//,\n\t\tname: \"openai\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.openai\\.com\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.deepseek\\.com\\//,\n\t\tname: \"deepseek\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.deepseek\\.com\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.anthropic\\.com\\//,\n\t\tname: \"anthropic\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.anthropic\\.com\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/generativelanguage\\.googleapis\\.com\\//,\n\t\tname: \"google-ai-studio\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/generativelanguage\\.googleapis\\.com\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.x\\.ai\\//,\n\t\tname: \"grok\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.x\\.ai\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.mistral\\.ai\\//,\n\t\tname: \"mistral\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.mistral\\.ai\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.perplexity\\.ai\\//,\n\t\tname: \"perplexity-ai\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.perplexity\\.ai\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.replicate\\.com\\//,\n\t\tname: \"replicate\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.replicate\\.com\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/api\\.groq\\.com\\/openai\\/v1\\//,\n\t\tname: \"groq\",\n\t\ttransformEndpoint: (url: string) => url.replace(/^https:\\/\\/api\\.groq\\.com\\/openai\\/v1\\//, \"\"),\n\t},\n\t{\n\t\tregex: /^https:\\/\\/(?<resource>[^.]+)\\.openai\\.azure\\.com\\/openai\\/deployments\\/(?<deployment>[^/]+)\\/(?<rest>.*)$/,\n\t\tname: \"azure-openai\",\n\t\ttransformEndpoint: (url: string) => {\n\t\t\tconst match = url.match(/^https:\\/\\/(?<resource>[^.]+)\\.openai\\.azure\\.com\\/openai\\/deployments\\/(?<deployment>[^/]+)\\/(?<rest>.*)$/);\n\t\t\tif (!match || !match.groups) return url;\n\t\t\tconst { resource, deployment, rest } = match.groups;\n\t\t\tif (!resource || !deployment || !rest) {\n\t\t\t\tthrow new Error(\"Failed to parse Azure OpenAI endpoint URL.\");\n\t\t\t}\n\t\t\treturn `${resource}/${deployment}/${rest}`;\n\t\t},\n\t},\n];\n","import type { LanguageModelV1 } from \"@ai-sdk/provider\";\nimport type { FetchFunction } from \"@ai-sdk/provider-utils\";\nimport { providers } from \"./providers\";\n\nexport class AiGatewayInternalFetchError extends Error {}\n\nexport class AiGatewayDoesNotExist extends Error {}\n\nexport class AiGatewayUnauthorizedError extends Error {}\n\nasync function streamToObject(stream: ReadableStream) {\n\tconst response = new Response(stream);\n\treturn await response.json();\n}\n\n\ntype InternalLanguageModelV1 = LanguageModelV1 & { config?: { fetch?: FetchFunction | undefined } };\n\nexport class AiGatewayChatLanguageModel implements LanguageModelV1 {\n\treadonly specificationVersion = \"v1\";\n\treadonly defaultObjectGenerationMode = \"json\";\n\n\treadonly models: InternalLanguageModelV1[];\n\treadonly config: AiGatewaySettings;\n\n\tget modelId(): string {\n\t\tif (!this.models[0]) {\n\t\t\tthrow new Error(\"models cannot be empty array\");\n\t\t}\n\n\t\treturn this.models[0].modelId;\n\t}\n\n\tget provider(): string {\n\t\tif (!this.models[0]) {\n\t\t\tthrow new Error(\"models cannot be empty array\");\n\t\t}\n\n\t\treturn this.models[0].provider;\n\t}\n\n\tconstructor(models: LanguageModelV1[], config: AiGatewaySettings) {\n\t\tthis.models = models;\n\t\tthis.config = config;\n\t}\n\n\tasync processModelRequest<\n\t\tT extends LanguageModelV1[\"doStream\"] | LanguageModelV1[\"doGenerate\"],\n\t>(\n\t\toptions: Parameters<T>[0],\n\t\tmodelMethod: \"doStream\" | \"doGenerate\",\n\t): Promise<Awaited<ReturnType<T>>> {\n\t\tconst requests: { url: string; request: Request; modelProvider: string }[] = [];\n\n\t\t// Model configuration and request collection\n\t\tfor (const model of this.models) {\n\t\t\tif (!model.config || !Object.keys(model.config).includes(\"fetch\")) {\n\t\t\t\tthrow new Error(\n\t\t\t\t\t`Sorry, but provider \"${model.provider}\" is currently not supported, please open a issue in the github repo!`,\n\t\t\t\t);\n\t\t\t}\n\n\t\t\tmodel.config.fetch = (url, request) => {\n\t\t\t\trequests.push({\n\t\t\t\t\turl: url as string,\n\t\t\t\t\trequest: request as Request,\n\t\t\t\t\tmodelProvider: model.provider,\n\t\t\t\t});\n\t\t\t\tthrow new AiGatewayInternalFetchError(\"Stopping provider execution...\");\n\t\t\t};\n\n\t\t\ttry {\n\t\t\t\tawait model[modelMethod](options);\n\t\t\t} catch (e) {\n\t\t\t\tif (!(e instanceof AiGatewayInternalFetchError)) {\n\t\t\t\t\tthrow e;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Process requests\n\t\tconst body = await Promise.all(\n\t\t\trequests.map(async (req) => {\n\t\t\t\tlet providerConfig = null;\n\t\t\t\tfor (const provider of providers) {\n\t\t\t\t\tif (provider.regex.test(req.url)) {\n\t\t\t\t\t\tproviderConfig = provider;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (!providerConfig) {\n\t\t\t\t\tthrow new Error(\n\t\t\t\t\t\t`Sorry, but provider \"${req.modelProvider}\" is currently not supported, please open a issue in the github repo!`,\n\t\t\t\t\t);\n\t\t\t\t}\n\n\t\t\t\tif (!req.request.body) {\n\t\t\t\t\tthrow new Error(\"Ai Gateway provider received an unexpected empty body\");\n\t\t\t\t}\n\n\t\t\t\treturn {\n\t\t\t\t\tprovider: providerConfig.name,\n\t\t\t\t\tendpoint: providerConfig.transformEndpoint(req.url),\n\t\t\t\t\theaders: req.request.headers,\n\t\t\t\t\tquery: await streamToObject(req.request.body),\n\t\t\t\t};\n\t\t\t}),\n\t\t);\n\n\t\t// Handle response\n\t\tconst headers = parseAiGatewayOptions(this.config.options ?? {});\n\t\tlet resp: Response;\n\n\t\tif (\"binding\" in this.config) {\n\t\t\tconst updatedBody = body.map((obj) => ({\n\t\t\t\t...obj,\n\t\t\t\theaders: {\n\t\t\t\t\t...(obj.headers ?? {}),\n\t\t\t\t\t...Object.fromEntries(headers.entries()),\n\t\t\t\t},\n\t\t\t}));\n\t\t\tresp = await this.config.binding.run(updatedBody);\n\t\t} else {\n\t\t\theaders.set(\"Content-Type\", \"application/json\");\n\t\t\theaders.set(\"cf-aig-authorization\", `Bearer ${this.config.apiKey}`);\n\t\t\tresp = await fetch(\n\t\t\t\t`https://gateway.ai.cloudflare.com/v1/${this.config.accountId}/${this.config.gateway}`,\n\t\t\t\t{\n\t\t\t\t\tmethod: \"POST\",\n\t\t\t\t\theaders: headers,\n\t\t\t\t\tbody: JSON.stringify(body),\n\t\t\t\t},\n\t\t\t);\n\t\t}\n\n\t\t// Error handling\n\t\tif (resp.status === 400) {\n\t\t\tconst cloneResp = resp.clone();\n\t\t\tconst result: { success?: boolean; error?: { code: number; message: string }[] } =\n\t\t\t\tawait cloneResp.json();\n\t\t\tif (\n\t\t\t\tresult.success === false &&\n\t\t\t\tresult.error &&\n\t\t\t\tresult.error.length > 0 &&\n\t\t\t\tresult.error[0]?.code === 2001\n\t\t\t) {\n\t\t\t\tthrow new AiGatewayDoesNotExist(\"This AI gateway does not exist\");\n\t\t\t}\n\t\t} else if (resp.status === 401) {\n\t\t\tconst cloneResp = resp.clone();\n\t\t\tconst result: { success?: boolean; error?: { code: number; message: string }[] } =\n\t\t\t\tawait cloneResp.json();\n\t\t\tif (\n\t\t\t\tresult.success === false &&\n\t\t\t\tresult.error &&\n\t\t\t\tresult.error.length > 0 &&\n\t\t\t\tresult.error[0]?.code === 2009\n\t\t\t) {\n\t\t\t\tthrow new AiGatewayUnauthorizedError(\n\t\t\t\t\t\"Your AI Gateway has authentication active, but you didn't provide a valid apiKey\",\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\n\t\tconst step = Number.parseInt(resp.headers.get(\"cf-aig-step\") ?? \"0\");\n\t\tif (!this.models[step]) {\n\t\t\tthrow new Error(\"Unexpected AI Gateway Error\");\n\t\t}\n\n\t\tthis.models[step].config = {\n\t\t\t...this.models[step].config,\n\t\t\tfetch: (url, req) => resp as unknown as Promise<Response>,\n\t\t};\n\n\t\treturn this.models[step][modelMethod](options) as Promise<Awaited<ReturnType<T>>>;\n\t}\n\n\tasync doStream(\n\t\toptions: Parameters<LanguageModelV1[\"doStream\"]>[0],\n\t): Promise<Awaited<ReturnType<LanguageModelV1[\"doStream\"]>>> {\n\t\treturn this.processModelRequest<LanguageModelV1[\"doStream\"]>(options, \"doStream\");\n\t}\n\n\tasync doGenerate(\n\t\toptions: Parameters<LanguageModelV1[\"doGenerate\"]>[0],\n\t): Promise<Awaited<ReturnType<LanguageModelV1[\"doGenerate\"]>>> {\n\t\treturn this.processModelRequest<LanguageModelV1[\"doGenerate\"]>(options, \"doGenerate\");\n\t}\n}\n\nexport interface AiGateway {\n\t(models: LanguageModelV1 | LanguageModelV1[]): LanguageModelV1;\n\n\tchat(models: LanguageModelV1 | LanguageModelV1[]): LanguageModelV1;\n}\n\nexport type AiGatewayReties = {\n\tmaxAttempts?: 1 | 2 | 3 | 4 | 5;\n\tretryDelayMs?: number;\n\tbackoff?: \"constant\" | \"linear\" | \"exponential\";\n};\nexport type AiGatewayOptions = {\n\tcacheKey?: string;\n\tcacheTtl?: number;\n\tskipCache?: boolean;\n\tmetadata?: Record<string, number | string | boolean | null | bigint>;\n\tcollectLog?: boolean;\n\teventId?: string;\n\trequestTimeoutMs?: number;\n\tretries?: AiGatewayReties;\n};\nexport type AiGatewayAPISettings = {\n\tgateway: string;\n\taccountId: string;\n\tapiKey?: string;\n\toptions?: AiGatewayOptions;\n};\nexport type AiGatewayBindingSettings = {\n\tbinding: {\n\t\trun(data: unknown): Promise<Response>;\n\t};\n\toptions?: AiGatewayOptions;\n};\nexport type AiGatewaySettings = AiGatewayAPISettings | AiGatewayBindingSettings;\n\nexport function createAiGateway(options: AiGatewaySettings): AiGateway {\n\tconst createChatModel = (models: LanguageModelV1 | LanguageModelV1[]) => {\n\t\treturn new AiGatewayChatLanguageModel(Array.isArray(models) ? models : [models], options);\n\t};\n\n\tconst provider = (models: LanguageModelV1 | LanguageModelV1[]) => createChatModel(models);\n\n\tprovider.chat = createChatModel;\n\n\treturn provider;\n}\n\nexport function parseAiGatewayOptions(options: AiGatewayOptions): Headers {\n\tconst headers = new Headers();\n\n\tif (options.skipCache === true) {\n\t\theaders.set(\"cf-skip-cache\", \"true\");\n\t}\n\n\tif (options.cacheTtl) {\n\t\theaders.set(\"cf-cache-ttl\", options.cacheTtl.toString());\n\t}\n\n\tif (options.metadata) {\n\t\theaders.set(\"cf-aig-metadata\", JSON.stringify(options.metadata));\n\t}\n\n\tif (options.cacheKey) {\n\t\theaders.set(\"cf-aig-cache-key\", options.cacheKey);\n\t}\n\n\tif (options.collectLog !== undefined) {\n\t\theaders.set(\"cf-aig-collect-log\", options.collectLog === true ? \"true\" : \"false\");\n\t}\n\n\tif (options.eventId !== undefined) {\n\t\theaders.set(\"cf-aig-event-id\", options.eventId);\n\t}\n\n\tif (options.requestTimeoutMs !== undefined) 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