Add native LLM core foundation (#24712)
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import type { Config, Redacted } from "effect"
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import { type ModelInput } from "../llm"
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import { Provider } from "../provider"
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import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat"
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import { Auth } from "../route/auth"
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import { AuthOptions, type AtLeastOne, type ProviderAuthOption } from "../route/auth-options"
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import { Route } from "../route/client"
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import { ProviderID, type ModelID } from "../schema"
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export const aiGatewayID = ProviderID.make("cloudflare-ai-gateway")
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export const workersAIID = ProviderID.make("cloudflare-workers-ai")
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export const id = aiGatewayID
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export const aiGatewayAuthEnvVars = ["CLOUDFLARE_API_TOKEN", "CF_AIG_TOKEN"] as const
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export const workersAIAuthEnvVars = ["CLOUDFLARE_API_KEY", "CLOUDFLARE_WORKERS_AI_TOKEN"] as const
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type CloudflareSecret = string | Redacted.Redacted<string> | Config.Config<string | Redacted.Redacted<string>>
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type GatewayURL = AtLeastOne<{
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readonly accountId: string
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readonly baseURL: string
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}> & {
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readonly gatewayId?: string
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}
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export type AIGatewayOptions = GatewayURL &
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Omit<ModelInput, "id" | "provider" | "route" | "baseURL" | "apiKey" | "auth"> &
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ProviderAuthOption<"optional"> & {
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/** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
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readonly gatewayApiKey?: CloudflareSecret
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}
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type AIGatewayInput = AIGatewayOptions & Pick<ModelInput, "id">
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type WorkersAIURL = AtLeastOne<{
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readonly accountId: string
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readonly baseURL: string
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}>
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export type WorkersAIOptions = WorkersAIURL &
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Omit<ModelInput, "id" | "provider" | "route" | "baseURL" | "apiKey" | "auth"> &
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ProviderAuthOption<"optional">
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type WorkersAIInput = WorkersAIOptions & Pick<ModelInput, "id">
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export const aiGatewayBaseURL = (input: GatewayURL) => {
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if (input.baseURL) return input.baseURL
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if (!input.accountId) throw new Error("Cloudflare.aiGateway requires accountId unless baseURL is supplied")
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return `https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(input.accountId)}/${encodeURIComponent(input.gatewayId?.trim() || "default")}/compat`
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}
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const aiGatewayAuth = (input: AIGatewayInput) => {
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if ("auth" in input && input.auth) return input.auth
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const gateway = Auth.optional(input.gatewayApiKey, "gatewayApiKey")
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.orElse(Auth.config("CLOUDFLARE_API_TOKEN"))
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.orElse(Auth.config("CF_AIG_TOKEN"))
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.pipe(Auth.bearerHeader("cf-aig-authorization"))
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if (!("apiKey" in input) || input.apiKey === undefined) return gateway
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if (input.gatewayApiKey === undefined) return Auth.bearer(input.apiKey)
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return Auth.bearerHeader("cf-aig-authorization", input.gatewayApiKey).andThen(Auth.bearer(input.apiKey))
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}
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export const workersAIBaseURL = (input: WorkersAIURL) => {
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if (input.baseURL) return input.baseURL
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if (!input.accountId) throw new Error("Cloudflare.workersAI requires accountId unless baseURL is supplied")
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return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
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}
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const workersAIAuth = (input: WorkersAIInput) => {
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return AuthOptions.bearer(input, workersAIAuthEnvVars)
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}
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export const aiGatewayRoute = OpenAICompatibleChat.route.with({
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id: "cloudflare-ai-gateway",
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provider: aiGatewayID,
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})
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export const workersAIRoute = OpenAICompatibleChat.route.with({
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id: "cloudflare-workers-ai",
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provider: workersAIID,
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})
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export const routes = [aiGatewayRoute, workersAIRoute]
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const aiGatewayModel = Route.model<AIGatewayInput>(
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aiGatewayRoute,
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{
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provider: id,
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},
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{
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mapInput: (input) => {
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const {
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accountId: _accountId,
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gatewayId: _gatewayId,
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apiKey: _apiKey,
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gatewayApiKey: _gatewayApiKey,
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auth: _auth,
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...rest
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} = input
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return {
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...rest,
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auth: aiGatewayAuth(input),
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baseURL: aiGatewayBaseURL(input),
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}
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},
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},
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)
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const workersAIModel = Route.model<WorkersAIInput>(
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workersAIRoute,
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{
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provider: workersAIID,
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},
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{
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mapInput: (input) => {
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const { accountId: _accountId, apiKey: _apiKey, auth: _auth, ...rest } = input
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return {
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...rest,
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auth: workersAIAuth(input),
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baseURL: workersAIBaseURL(input),
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}
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},
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},
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)
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export const aiGateway = (modelID: string | ModelID, options: AIGatewayOptions) =>
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aiGatewayModel({ ...options, id: modelID })
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export const workersAI = (modelID: string | ModelID, options: WorkersAIOptions) =>
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workersAIModel({ ...options, id: modelID })
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export const model = aiGateway
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export const provider = Provider.make({
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id,
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model,
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apis: { aiGateway, workersAI },
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})
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export const apis = provider.apis
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