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- import type { ModelMessage } from "ai"
- import { unique } from "remeda"
- import type { JSONSchema } from "zod/v4/core"
- export namespace ProviderTransform {
- function normalizeToolCallIds(msgs: ModelMessage[]): ModelMessage[] {
- return msgs.map((msg) => {
- if ((msg.role === "assistant" || msg.role === "tool") && Array.isArray(msg.content)) {
- msg.content = msg.content.map((part) => {
- if ((part.type === "tool-call" || part.type === "tool-result") && "toolCallId" in part) {
- return {
- ...part,
- toolCallId: part.toolCallId.replace(/[^a-zA-Z0-9_-]/g, "_"),
- }
- }
- return part
- })
- }
- return msg
- })
- }
- function applyCaching(msgs: ModelMessage[], providerID: string): ModelMessage[] {
- const system = msgs.filter((msg) => msg.role === "system").slice(0, 2)
- const final = msgs.filter((msg) => msg.role !== "system").slice(-2)
- const providerOptions = {
- anthropic: {
- cacheControl: { type: "ephemeral" },
- },
- openrouter: {
- cache_control: { type: "ephemeral" },
- },
- bedrock: {
- cachePoint: { type: "ephemeral" },
- },
- openaiCompatible: {
- cache_control: { type: "ephemeral" },
- },
- }
- for (const msg of unique([...system, ...final])) {
- const shouldUseContentOptions = providerID !== "anthropic" && Array.isArray(msg.content) && msg.content.length > 0
- if (shouldUseContentOptions) {
- const lastContent = msg.content[msg.content.length - 1]
- if (lastContent && typeof lastContent === "object") {
- lastContent.providerOptions = {
- ...lastContent.providerOptions,
- ...providerOptions,
- }
- continue
- }
- }
- msg.providerOptions = {
- ...msg.providerOptions,
- ...providerOptions,
- }
- }
- return msgs
- }
- export function message(msgs: ModelMessage[], providerID: string, modelID: string) {
- if (modelID.includes("claude")) {
- msgs = normalizeToolCallIds(msgs)
- }
- if (providerID === "anthropic" || modelID.includes("anthropic") || modelID.includes("claude")) {
- msgs = applyCaching(msgs, providerID)
- }
- return msgs
- }
- export function temperature(_providerID: string, modelID: string) {
- if (modelID.toLowerCase().includes("qwen")) return 0.55
- if (modelID.toLowerCase().includes("claude")) return 1
- return 0
- }
- export function topP(_providerID: string, modelID: string) {
- if (modelID.toLowerCase().includes("qwen")) return 1
- return undefined
- }
- export function options(providerID: string, modelID: string, sessionID: string): Record<string, any> | undefined {
- const result: Record<string, any> = {}
- if (providerID === "openai") {
- result["promptCacheKey"] = sessionID
- }
- if (modelID.includes("gpt-5") && !modelID.includes("gpt-5-chat")) {
- result["reasoningEffort"] = "medium"
- if (providerID !== "azure") {
- result["textVerbosity"] = modelID.includes("codex") ? "medium" : "low"
- }
- if (providerID === "opencode") {
- result["promptCacheKey"] = sessionID
- result["include"] = ["reasoning.encrypted_content"]
- result["reasoningSummary"] = "auto"
- }
- }
- return result
- }
- export function maxOutputTokens(providerID: string, outputLimit: number, options: Record<string, any>): number {
- if (providerID === "anthropic") {
- const thinking = options["thinking"]
- if (typeof thinking === "object" && thinking !== null) {
- const type = thinking["type"]
- const budgetTokens = thinking["budgetTokens"]
- if (type === "enabled" && typeof budgetTokens === "number" && budgetTokens > 0) {
- return outputLimit - budgetTokens
- }
- }
- }
- return outputLimit
- }
- export function schema(_providerID: string, _modelID: string, schema: JSONSchema.BaseSchema) {
- /*
- if (["openai", "azure"].includes(providerID)) {
- if (schema.type === "object" && schema.properties) {
- for (const [key, value] of Object.entries(schema.properties)) {
- if (schema.required?.includes(key)) continue
- schema.properties[key] = {
- anyOf: [
- value as JSONSchema.JSONSchema,
- {
- type: "null",
- },
- ],
- }
- }
- }
- }
- if (providerID === "google") {
- }
- */
- return schema
- }
- }
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