mirror of
https://gitea.toothfairyai.com/ToothFairyAI/tf_code.git
synced 2026-03-31 06:12:26 +00:00
980 lines
32 KiB
TypeScript
980 lines
32 KiB
TypeScript
import type { ModelMessage } from "ai"
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import { mergeDeep, unique } from "remeda"
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import type { JSONSchema7 } from "@ai-sdk/provider"
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import type { JSONSchema } from "zod/v4/core"
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import type { Provider } from "./provider"
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import type { ModelsDev } from "./models"
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import { iife } from "@/util/iife"
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import { Flag } from "@/flag/flag"
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type Modality = NonNullable<ModelsDev.Model["modalities"]>["input"][number]
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function mimeToModality(mime: string): Modality | undefined {
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if (mime.startsWith("image/")) return "image"
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if (mime.startsWith("audio/")) return "audio"
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if (mime.startsWith("video/")) return "video"
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if (mime === "application/pdf") return "pdf"
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return undefined
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}
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export namespace ProviderTransform {
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export const OUTPUT_TOKEN_MAX = Flag.OPENCODE_EXPERIMENTAL_OUTPUT_TOKEN_MAX || 32_000
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// Maps npm package to the key the AI SDK expects for providerOptions
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function sdkKey(npm: string): string | undefined {
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switch (npm) {
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case "@ai-sdk/github-copilot":
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return "copilot"
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case "@ai-sdk/openai":
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case "@ai-sdk/azure":
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return "openai"
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case "@ai-sdk/amazon-bedrock":
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return "bedrock"
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case "@ai-sdk/anthropic":
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case "@ai-sdk/google-vertex/anthropic":
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return "anthropic"
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case "@ai-sdk/google-vertex":
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case "@ai-sdk/google":
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return "google"
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case "@ai-sdk/gateway":
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return "gateway"
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case "@openrouter/ai-sdk-provider":
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return "openrouter"
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}
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return undefined
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}
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function normalizeMessages(
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msgs: ModelMessage[],
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model: Provider.Model,
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options: Record<string, unknown>,
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): ModelMessage[] {
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// Anthropic rejects messages with empty content - filter out empty string messages
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// and remove empty text/reasoning parts from array content
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if (model.api.npm === "@ai-sdk/anthropic") {
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msgs = msgs
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.map((msg) => {
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if (typeof msg.content === "string") {
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if (msg.content === "") return undefined
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return msg
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}
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if (!Array.isArray(msg.content)) return msg
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const filtered = msg.content.filter((part) => {
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if (part.type === "text" || part.type === "reasoning") {
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return part.text !== ""
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}
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return true
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})
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if (filtered.length === 0) return undefined
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return { ...msg, content: filtered }
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})
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.filter((msg): msg is ModelMessage => msg !== undefined && msg.content !== "")
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}
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if (model.api.id.includes("claude")) {
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return msgs.map((msg) => {
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if ((msg.role === "assistant" || msg.role === "tool") && Array.isArray(msg.content)) {
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msg.content = msg.content.map((part) => {
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if ((part.type === "tool-call" || part.type === "tool-result") && "toolCallId" in part) {
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return {
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...part,
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toolCallId: part.toolCallId.replace(/[^a-zA-Z0-9_-]/g, "_"),
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}
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}
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return part
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})
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}
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return msg
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})
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}
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if (
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model.providerID === "mistral" ||
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model.api.id.toLowerCase().includes("mistral") ||
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model.api.id.toLocaleLowerCase().includes("devstral")
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) {
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const result: ModelMessage[] = []
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for (let i = 0; i < msgs.length; i++) {
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const msg = msgs[i]
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const nextMsg = msgs[i + 1]
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if ((msg.role === "assistant" || msg.role === "tool") && Array.isArray(msg.content)) {
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msg.content = msg.content.map((part) => {
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if ((part.type === "tool-call" || part.type === "tool-result") && "toolCallId" in part) {
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// Mistral requires alphanumeric tool call IDs with exactly 9 characters
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const normalizedId = part.toolCallId
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.replace(/[^a-zA-Z0-9]/g, "") // Remove non-alphanumeric characters
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.substring(0, 9) // Take first 9 characters
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.padEnd(9, "0") // Pad with zeros if less than 9 characters
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return {
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...part,
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toolCallId: normalizedId,
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}
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}
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return part
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})
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}
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result.push(msg)
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// Fix message sequence: tool messages cannot be followed by user messages
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if (msg.role === "tool" && nextMsg?.role === "user") {
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result.push({
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role: "assistant",
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content: [
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{
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type: "text",
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text: "Done.",
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},
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],
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})
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}
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}
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return result
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}
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if (typeof model.capabilities.interleaved === "object" && model.capabilities.interleaved.field) {
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const field = model.capabilities.interleaved.field
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return msgs.map((msg) => {
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if (msg.role === "assistant" && Array.isArray(msg.content)) {
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const reasoningParts = msg.content.filter((part: any) => part.type === "reasoning")
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const reasoningText = reasoningParts.map((part: any) => part.text).join("")
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// Filter out reasoning parts from content
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const filteredContent = msg.content.filter((part: any) => part.type !== "reasoning")
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// Include reasoning_content | reasoning_details directly on the message for all assistant messages
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if (reasoningText) {
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return {
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...msg,
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content: filteredContent,
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providerOptions: {
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...msg.providerOptions,
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openaiCompatible: {
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...(msg.providerOptions as any)?.openaiCompatible,
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[field]: reasoningText,
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},
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},
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}
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}
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return {
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...msg,
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content: filteredContent,
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}
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}
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return msg
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})
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}
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return msgs
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}
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function applyCaching(msgs: ModelMessage[], model: Provider.Model): ModelMessage[] {
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const system = msgs.filter((msg) => msg.role === "system").slice(0, 2)
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const final = msgs.filter((msg) => msg.role !== "system").slice(-2)
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const providerOptions = {
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anthropic: {
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cacheControl: { type: "ephemeral" },
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},
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openrouter: {
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cacheControl: { type: "ephemeral" },
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},
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bedrock: {
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cachePoint: { type: "default" },
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},
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openaiCompatible: {
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cache_control: { type: "ephemeral" },
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},
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copilot: {
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copilot_cache_control: { type: "ephemeral" },
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},
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}
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for (const msg of unique([...system, ...final])) {
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const useMessageLevelOptions = model.providerID === "anthropic" || model.providerID.includes("bedrock")
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const shouldUseContentOptions = !useMessageLevelOptions && Array.isArray(msg.content) && msg.content.length > 0
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if (shouldUseContentOptions) {
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const lastContent = msg.content[msg.content.length - 1]
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if (lastContent && typeof lastContent === "object") {
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lastContent.providerOptions = mergeDeep(lastContent.providerOptions ?? {}, providerOptions)
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continue
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}
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}
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msg.providerOptions = mergeDeep(msg.providerOptions ?? {}, providerOptions)
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}
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return msgs
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}
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function unsupportedParts(msgs: ModelMessage[], model: Provider.Model): ModelMessage[] {
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return msgs.map((msg) => {
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if (msg.role !== "user" || !Array.isArray(msg.content)) return msg
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const filtered = msg.content.map((part) => {
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if (part.type !== "file" && part.type !== "image") return part
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// Check for empty base64 image data
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if (part.type === "image") {
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const imageStr = part.image.toString()
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if (imageStr.startsWith("data:")) {
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const match = imageStr.match(/^data:([^;]+);base64,(.*)$/)
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if (match && (!match[2] || match[2].length === 0)) {
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return {
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type: "text" as const,
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text: "ERROR: Image file is empty or corrupted. Please provide a valid image.",
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}
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}
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}
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}
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const mime = part.type === "image" ? part.image.toString().split(";")[0].replace("data:", "") : part.mediaType
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const filename = part.type === "file" ? part.filename : undefined
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const modality = mimeToModality(mime)
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if (!modality) return part
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if (model.capabilities.input[modality]) return part
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const name = filename ? `"${filename}"` : modality
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return {
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type: "text" as const,
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text: `ERROR: Cannot read ${name} (this model does not support ${modality} input). Inform the user.`,
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}
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})
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return { ...msg, content: filtered }
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})
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}
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export function message(msgs: ModelMessage[], model: Provider.Model, options: Record<string, unknown>) {
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msgs = unsupportedParts(msgs, model)
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msgs = normalizeMessages(msgs, model, options)
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if (
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(model.providerID === "anthropic" ||
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model.api.id.includes("anthropic") ||
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model.api.id.includes("claude") ||
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model.id.includes("anthropic") ||
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model.id.includes("claude") ||
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model.api.npm === "@ai-sdk/anthropic") &&
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model.api.npm !== "@ai-sdk/gateway"
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) {
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msgs = applyCaching(msgs, model)
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}
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// Remap providerOptions keys from stored providerID to expected SDK key
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const key = sdkKey(model.api.npm)
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if (key && key !== model.providerID && model.api.npm !== "@ai-sdk/azure") {
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const remap = (opts: Record<string, any> | undefined) => {
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if (!opts) return opts
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if (!(model.providerID in opts)) return opts
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const result = { ...opts }
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result[key] = result[model.providerID]
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delete result[model.providerID]
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return result
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}
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msgs = msgs.map((msg) => {
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if (!Array.isArray(msg.content)) return { ...msg, providerOptions: remap(msg.providerOptions) }
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return {
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...msg,
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providerOptions: remap(msg.providerOptions),
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content: msg.content.map((part) => ({ ...part, providerOptions: remap(part.providerOptions) })),
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} as typeof msg
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})
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}
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return msgs
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}
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export function temperature(model: Provider.Model) {
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const id = model.id.toLowerCase()
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if (id.includes("qwen")) return 0.55
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if (id.includes("claude")) return undefined
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if (id.includes("gemini")) return 1.0
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if (id.includes("glm-4.6")) return 1.0
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if (id.includes("glm-4.7")) return 1.0
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if (id.includes("minimax-m2")) return 1.0
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if (id.includes("kimi-k2")) {
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// kimi-k2-thinking & kimi-k2.5 && kimi-k2p5 && kimi-k2-5
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if (["thinking", "k2.", "k2p", "k2-5"].some((s) => id.includes(s))) {
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return 1.0
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}
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return 0.6
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}
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return undefined
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}
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export function topP(model: Provider.Model) {
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const id = model.id.toLowerCase()
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if (id.includes("qwen")) return 1
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if (["minimax-m2", "gemini", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
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return 0.95
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}
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return undefined
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}
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export function topK(model: Provider.Model) {
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const id = model.id.toLowerCase()
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if (id.includes("minimax-m2")) {
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if (["m2.", "m25", "m21"].some((s) => id.includes(s))) return 40
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return 20
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}
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if (id.includes("gemini")) return 64
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return undefined
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}
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const WIDELY_SUPPORTED_EFFORTS = ["low", "medium", "high"]
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const OPENAI_EFFORTS = ["none", "minimal", ...WIDELY_SUPPORTED_EFFORTS, "xhigh"]
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export function variants(model: Provider.Model): Record<string, Record<string, any>> {
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if (!model.capabilities.reasoning) return {}
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const id = model.id.toLowerCase()
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const isAnthropicAdaptive = ["opus-4-6", "opus-4.6", "sonnet-4-6", "sonnet-4.6"].some((v) =>
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model.api.id.includes(v),
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)
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const adaptiveEfforts = ["low", "medium", "high", "max"]
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if (
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id.includes("deepseek") ||
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id.includes("minimax") ||
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id.includes("glm") ||
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id.includes("mistral") ||
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id.includes("kimi") ||
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// TODO: Remove this after models.dev data is fixed to use "kimi-k2.5" instead of "k2p5"
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id.includes("k2p5")
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)
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return {}
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// see: https://docs.x.ai/docs/guides/reasoning#control-how-hard-the-model-thinks
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if (id.includes("grok") && id.includes("grok-3-mini")) {
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if (model.api.npm === "@openrouter/ai-sdk-provider") {
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return {
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low: { reasoning: { effort: "low" } },
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high: { reasoning: { effort: "high" } },
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}
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}
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return {
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low: { reasoningEffort: "low" },
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high: { reasoningEffort: "high" },
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}
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}
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if (id.includes("grok")) return {}
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switch (model.api.npm) {
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case "@openrouter/ai-sdk-provider":
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if (!model.id.includes("gpt") && !model.id.includes("gemini-3") && !model.id.includes("claude")) return {}
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return Object.fromEntries(OPENAI_EFFORTS.map((effort) => [effort, { reasoning: { effort } }]))
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case "@ai-sdk/gateway":
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if (model.id.includes("anthropic")) {
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if (isAnthropicAdaptive) {
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return Object.fromEntries(
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adaptiveEfforts.map((effort) => [
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effort,
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{
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thinking: {
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type: "adaptive",
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},
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effort,
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},
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]),
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)
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}
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return {
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high: {
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thinking: {
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type: "enabled",
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budgetTokens: 16000,
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},
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},
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max: {
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thinking: {
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type: "enabled",
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budgetTokens: 31999,
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},
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},
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}
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}
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if (model.id.includes("google")) {
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if (id.includes("2.5")) {
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return {
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high: {
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thinkingConfig: {
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includeThoughts: true,
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thinkingBudget: 16000,
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},
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},
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max: {
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thinkingConfig: {
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includeThoughts: true,
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thinkingBudget: 24576,
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},
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},
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}
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}
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return Object.fromEntries(
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["low", "high"].map((effort) => [
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effort,
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{
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includeThoughts: true,
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thinkingLevel: effort,
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},
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]),
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)
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}
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return Object.fromEntries(OPENAI_EFFORTS.map((effort) => [effort, { reasoningEffort: effort }]))
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case "@ai-sdk/github-copilot":
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if (model.id.includes("gemini")) {
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// currently github copilot only returns thinking
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return {}
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}
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if (model.id.includes("claude")) {
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return {
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thinking: { thinking_budget: 4000 },
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}
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}
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const copilotEfforts = iife(() => {
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if (id.includes("5.1-codex-max") || id.includes("5.2") || id.includes("5.3"))
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return [...WIDELY_SUPPORTED_EFFORTS, "xhigh"]
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return WIDELY_SUPPORTED_EFFORTS
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})
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return Object.fromEntries(
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copilotEfforts.map((effort) => [
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effort,
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{
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reasoningEffort: effort,
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reasoningSummary: "auto",
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include: ["reasoning.encrypted_content"],
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},
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]),
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)
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case "@ai-sdk/cerebras":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/cerebras
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case "@ai-sdk/togetherai":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/togetherai
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case "@ai-sdk/xai":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/xai
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case "@ai-sdk/deepinfra":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/deepinfra
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case "venice-ai-sdk-provider":
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// https://docs.venice.ai/overview/guides/reasoning-models#reasoning-effort
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case "@ai-sdk/openai-compatible":
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return Object.fromEntries(WIDELY_SUPPORTED_EFFORTS.map((effort) => [effort, { reasoningEffort: effort }]))
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case "@ai-sdk/azure":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/azure
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if (id === "o1-mini") return {}
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const azureEfforts = ["low", "medium", "high"]
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if (id.includes("gpt-5-") || id === "gpt-5") {
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azureEfforts.unshift("minimal")
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}
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return Object.fromEntries(
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azureEfforts.map((effort) => [
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effort,
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{
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reasoningEffort: effort,
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reasoningSummary: "auto",
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include: ["reasoning.encrypted_content"],
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},
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]),
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)
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case "@ai-sdk/openai":
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// https://v5.ai-sdk.dev/providers/ai-sdk-providers/openai
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if (id === "gpt-5-pro") return {}
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const openaiEfforts = iife(() => {
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if (id.includes("codex")) {
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if (id.includes("5.2") || id.includes("5.3")) return [...WIDELY_SUPPORTED_EFFORTS, "xhigh"]
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return WIDELY_SUPPORTED_EFFORTS
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}
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const arr = [...WIDELY_SUPPORTED_EFFORTS]
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if (id.includes("gpt-5-") || id === "gpt-5") {
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arr.unshift("minimal")
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}
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if (model.release_date >= "2025-11-13") {
|
|
arr.unshift("none")
|
|
}
|
|
if (model.release_date >= "2025-12-04") {
|
|
arr.push("xhigh")
|
|
}
|
|
return arr
|
|
})
|
|
return Object.fromEntries(
|
|
openaiEfforts.map((effort) => [
|
|
effort,
|
|
{
|
|
reasoningEffort: effort,
|
|
reasoningSummary: "auto",
|
|
include: ["reasoning.encrypted_content"],
|
|
},
|
|
]),
|
|
)
|
|
|
|
case "@ai-sdk/anthropic":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/anthropic
|
|
case "@ai-sdk/google-vertex/anthropic":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/google-vertex#anthropic-provider
|
|
|
|
if (isAnthropicAdaptive) {
|
|
return Object.fromEntries(
|
|
adaptiveEfforts.map((effort) => [
|
|
effort,
|
|
{
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort,
|
|
},
|
|
]),
|
|
)
|
|
}
|
|
|
|
return {
|
|
high: {
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: Math.min(16_000, Math.floor(model.limit.output / 2 - 1)),
|
|
},
|
|
},
|
|
max: {
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: Math.min(31_999, model.limit.output - 1),
|
|
},
|
|
},
|
|
}
|
|
|
|
case "@ai-sdk/amazon-bedrock":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/amazon-bedrock
|
|
if (isAnthropicAdaptive) {
|
|
return Object.fromEntries(
|
|
adaptiveEfforts.map((effort) => [
|
|
effort,
|
|
{
|
|
reasoningConfig: {
|
|
type: "adaptive",
|
|
maxReasoningEffort: effort,
|
|
},
|
|
},
|
|
]),
|
|
)
|
|
}
|
|
// For Anthropic models on Bedrock, use reasoningConfig with budgetTokens
|
|
if (model.api.id.includes("anthropic")) {
|
|
return {
|
|
high: {
|
|
reasoningConfig: {
|
|
type: "enabled",
|
|
budgetTokens: 16000,
|
|
},
|
|
},
|
|
max: {
|
|
reasoningConfig: {
|
|
type: "enabled",
|
|
budgetTokens: 31999,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
// For Amazon Nova models, use reasoningConfig with maxReasoningEffort
|
|
return Object.fromEntries(
|
|
WIDELY_SUPPORTED_EFFORTS.map((effort) => [
|
|
effort,
|
|
{
|
|
reasoningConfig: {
|
|
type: "enabled",
|
|
maxReasoningEffort: effort,
|
|
},
|
|
},
|
|
]),
|
|
)
|
|
|
|
case "@ai-sdk/google-vertex":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/google-vertex
|
|
case "@ai-sdk/google":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai
|
|
if (id.includes("2.5")) {
|
|
return {
|
|
high: {
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 16000,
|
|
},
|
|
},
|
|
max: {
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 24576,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
let levels = ["low", "high"]
|
|
if (id.includes("3.1")) {
|
|
levels = ["low", "medium", "high"]
|
|
}
|
|
|
|
return Object.fromEntries(
|
|
levels.map((effort) => [
|
|
effort,
|
|
{
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingLevel: effort,
|
|
},
|
|
},
|
|
]),
|
|
)
|
|
|
|
case "@ai-sdk/mistral":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/mistral
|
|
return {}
|
|
|
|
case "@ai-sdk/cohere":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/cohere
|
|
return {}
|
|
|
|
case "@ai-sdk/groq":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/groq
|
|
const groqEffort = ["none", ...WIDELY_SUPPORTED_EFFORTS]
|
|
return Object.fromEntries(
|
|
groqEffort.map((effort) => [
|
|
effort,
|
|
{
|
|
reasoningEffort: effort,
|
|
},
|
|
]),
|
|
)
|
|
|
|
case "@ai-sdk/perplexity":
|
|
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/perplexity
|
|
return {}
|
|
|
|
case "@mymediset/sap-ai-provider":
|
|
case "@jerome-benoit/sap-ai-provider-v2":
|
|
if (model.api.id.includes("anthropic")) {
|
|
return {
|
|
high: {
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 16000,
|
|
},
|
|
},
|
|
max: {
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 31999,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
return Object.fromEntries(WIDELY_SUPPORTED_EFFORTS.map((effort) => [effort, { reasoningEffort: effort }]))
|
|
}
|
|
return {}
|
|
}
|
|
|
|
export function options(input: {
|
|
model: Provider.Model
|
|
sessionID: string
|
|
providerOptions?: Record<string, any>
|
|
}): Record<string, any> {
|
|
const result: Record<string, any> = {}
|
|
|
|
// openai and providers using openai package should set store to false by default.
|
|
if (
|
|
input.model.providerID === "openai" ||
|
|
input.model.api.npm === "@ai-sdk/openai" ||
|
|
input.model.api.npm === "@ai-sdk/github-copilot"
|
|
) {
|
|
result["store"] = false
|
|
}
|
|
|
|
if (input.model.api.npm === "@openrouter/ai-sdk-provider") {
|
|
result["usage"] = {
|
|
include: true,
|
|
}
|
|
if (input.model.api.id.includes("gemini-3")) {
|
|
result["reasoning"] = { effort: "high" }
|
|
}
|
|
}
|
|
|
|
if (
|
|
input.model.providerID === "baseten" ||
|
|
(input.model.providerID === "opencode" && ["kimi-k2-thinking", "glm-4.6"].includes(input.model.api.id))
|
|
) {
|
|
result["chat_template_args"] = { enable_thinking: true }
|
|
}
|
|
|
|
if (["zai", "zhipuai"].includes(input.model.providerID) && input.model.api.npm === "@ai-sdk/openai-compatible") {
|
|
result["thinking"] = {
|
|
type: "enabled",
|
|
clear_thinking: false,
|
|
}
|
|
}
|
|
|
|
if (input.model.providerID === "openai" || input.providerOptions?.setCacheKey) {
|
|
result["promptCacheKey"] = input.sessionID
|
|
}
|
|
|
|
if (input.model.api.npm === "@ai-sdk/google" || input.model.api.npm === "@ai-sdk/google-vertex") {
|
|
result["thinkingConfig"] = {
|
|
includeThoughts: true,
|
|
}
|
|
if (input.model.api.id.includes("gemini-3")) {
|
|
result["thinkingConfig"]["thinkingLevel"] = "high"
|
|
}
|
|
}
|
|
|
|
// Enable thinking by default for kimi-k2.5/k2p5 models using anthropic SDK
|
|
const modelId = input.model.api.id.toLowerCase()
|
|
if (
|
|
(input.model.api.npm === "@ai-sdk/anthropic" || input.model.api.npm === "@ai-sdk/google-vertex/anthropic") &&
|
|
(modelId.includes("k2p5") || modelId.includes("kimi-k2.5") || modelId.includes("kimi-k2p5"))
|
|
) {
|
|
result["thinking"] = {
|
|
type: "enabled",
|
|
budgetTokens: Math.min(16_000, Math.floor(input.model.limit.output / 2 - 1)),
|
|
}
|
|
}
|
|
|
|
// Enable thinking for reasoning models on alibaba-cn (DashScope).
|
|
// DashScope's OpenAI-compatible API requires `enable_thinking: true` in the request body
|
|
// to return reasoning_content. Without it, models like kimi-k2.5, qwen-plus, qwen3, qwq,
|
|
// deepseek-r1, etc. never output thinking/reasoning tokens.
|
|
// Note: kimi-k2-thinking is excluded as it returns reasoning_content by default.
|
|
if (
|
|
input.model.providerID === "alibaba-cn" &&
|
|
input.model.capabilities.reasoning &&
|
|
input.model.api.npm === "@ai-sdk/openai-compatible" &&
|
|
!modelId.includes("kimi-k2-thinking")
|
|
) {
|
|
result["enable_thinking"] = true
|
|
}
|
|
|
|
if (input.model.api.id.includes("gpt-5") && !input.model.api.id.includes("gpt-5-chat")) {
|
|
if (!input.model.api.id.includes("gpt-5-pro")) {
|
|
result["reasoningEffort"] = "medium"
|
|
result["reasoningSummary"] = "auto"
|
|
}
|
|
|
|
// Only set textVerbosity for non-chat gpt-5.x models
|
|
// Chat models (e.g. gpt-5.2-chat-latest) only support "medium" verbosity
|
|
if (
|
|
input.model.api.id.includes("gpt-5.") &&
|
|
!input.model.api.id.includes("codex") &&
|
|
!input.model.api.id.includes("-chat") &&
|
|
input.model.providerID !== "azure"
|
|
) {
|
|
result["textVerbosity"] = "low"
|
|
}
|
|
|
|
if (input.model.providerID.startsWith("opencode")) {
|
|
result["promptCacheKey"] = input.sessionID
|
|
result["include"] = ["reasoning.encrypted_content"]
|
|
result["reasoningSummary"] = "auto"
|
|
}
|
|
}
|
|
|
|
if (input.model.providerID === "venice") {
|
|
result["promptCacheKey"] = input.sessionID
|
|
}
|
|
|
|
if (input.model.providerID === "openrouter") {
|
|
result["prompt_cache_key"] = input.sessionID
|
|
}
|
|
if (input.model.api.npm === "@ai-sdk/gateway") {
|
|
result["gateway"] = {
|
|
caching: "auto",
|
|
}
|
|
}
|
|
|
|
return result
|
|
}
|
|
|
|
export function smallOptions(model: Provider.Model) {
|
|
if (
|
|
model.providerID === "openai" ||
|
|
model.api.npm === "@ai-sdk/openai" ||
|
|
model.api.npm === "@ai-sdk/github-copilot"
|
|
) {
|
|
if (model.api.id.includes("gpt-5")) {
|
|
if (model.api.id.includes("5.")) {
|
|
return { store: false, reasoningEffort: "low" }
|
|
}
|
|
return { store: false, reasoningEffort: "minimal" }
|
|
}
|
|
return { store: false }
|
|
}
|
|
if (model.providerID === "google") {
|
|
// gemini-3 uses thinkingLevel, gemini-2.5 uses thinkingBudget
|
|
if (model.api.id.includes("gemini-3")) {
|
|
return { thinkingConfig: { thinkingLevel: "minimal" } }
|
|
}
|
|
return { thinkingConfig: { thinkingBudget: 0 } }
|
|
}
|
|
if (model.providerID === "openrouter") {
|
|
if (model.api.id.includes("google")) {
|
|
return { reasoning: { enabled: false } }
|
|
}
|
|
return { reasoningEffort: "minimal" }
|
|
}
|
|
|
|
if (model.providerID === "venice") {
|
|
return { veniceParameters: { disableThinking: true } }
|
|
}
|
|
|
|
return {}
|
|
}
|
|
|
|
// Maps model ID prefix to provider slug used in providerOptions.
|
|
// Example: "amazon/nova-2-lite" → "bedrock"
|
|
const SLUG_OVERRIDES: Record<string, string> = {
|
|
amazon: "bedrock",
|
|
}
|
|
|
|
export function providerOptions(model: Provider.Model, options: { [x: string]: any }) {
|
|
if (model.api.npm === "@ai-sdk/gateway") {
|
|
// Gateway providerOptions are split across two namespaces:
|
|
// - `gateway`: gateway-native routing/caching controls (order, only, byok, etc.)
|
|
// - `<upstream slug>`: provider-specific model options (anthropic/openai/...)
|
|
// We keep `gateway` as-is and route every other top-level option under the
|
|
// model-derived upstream slug.
|
|
const i = model.api.id.indexOf("/")
|
|
const rawSlug = i > 0 ? model.api.id.slice(0, i) : undefined
|
|
const slug = rawSlug ? (SLUG_OVERRIDES[rawSlug] ?? rawSlug) : undefined
|
|
const gateway = options.gateway
|
|
const rest = Object.fromEntries(Object.entries(options).filter(([k]) => k !== "gateway"))
|
|
const has = Object.keys(rest).length > 0
|
|
|
|
const result: Record<string, any> = {}
|
|
if (gateway !== undefined) result.gateway = gateway
|
|
|
|
if (has) {
|
|
if (slug) {
|
|
// Route model-specific options under the provider slug
|
|
result[slug] = rest
|
|
} else if (gateway && typeof gateway === "object" && !Array.isArray(gateway)) {
|
|
result.gateway = { ...gateway, ...rest }
|
|
} else {
|
|
result.gateway = rest
|
|
}
|
|
}
|
|
|
|
return result
|
|
}
|
|
|
|
const key = sdkKey(model.api.npm) ?? model.providerID
|
|
return { [key]: options }
|
|
}
|
|
|
|
export function maxOutputTokens(model: Provider.Model): number {
|
|
return Math.min(model.limit.output, OUTPUT_TOKEN_MAX) || OUTPUT_TOKEN_MAX
|
|
}
|
|
|
|
export function schema(model: Provider.Model, schema: JSONSchema.BaseSchema | JSONSchema7): JSONSchema7 {
|
|
/*
|
|
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",
|
|
},
|
|
],
|
|
}
|
|
}
|
|
}
|
|
}
|
|
*/
|
|
|
|
// Convert integer enums to string enums for Google/Gemini
|
|
if (model.providerID === "google" || model.api.id.includes("gemini")) {
|
|
const isPlainObject = (node: unknown): node is Record<string, any> =>
|
|
typeof node === "object" && node !== null && !Array.isArray(node)
|
|
const hasCombiner = (node: unknown) =>
|
|
isPlainObject(node) && (Array.isArray(node.anyOf) || Array.isArray(node.oneOf) || Array.isArray(node.allOf))
|
|
const hasSchemaIntent = (node: unknown) => {
|
|
if (!isPlainObject(node)) return false
|
|
if (hasCombiner(node)) return true
|
|
return [
|
|
"type",
|
|
"properties",
|
|
"items",
|
|
"prefixItems",
|
|
"enum",
|
|
"const",
|
|
"$ref",
|
|
"additionalProperties",
|
|
"patternProperties",
|
|
"required",
|
|
"not",
|
|
"if",
|
|
"then",
|
|
"else",
|
|
].some((key) => key in node)
|
|
}
|
|
|
|
const sanitizeGemini = (obj: any): any => {
|
|
if (obj === null || typeof obj !== "object") {
|
|
return obj
|
|
}
|
|
|
|
if (Array.isArray(obj)) {
|
|
return obj.map(sanitizeGemini)
|
|
}
|
|
|
|
const result: any = {}
|
|
for (const [key, value] of Object.entries(obj)) {
|
|
if (key === "enum" && Array.isArray(value)) {
|
|
// Convert all enum values to strings
|
|
result[key] = value.map((v) => String(v))
|
|
// If we have integer type with enum, change type to string
|
|
if (result.type === "integer" || result.type === "number") {
|
|
result.type = "string"
|
|
}
|
|
} else if (typeof value === "object" && value !== null) {
|
|
result[key] = sanitizeGemini(value)
|
|
} else {
|
|
result[key] = value
|
|
}
|
|
}
|
|
|
|
// Filter required array to only include fields that exist in properties
|
|
if (result.type === "object" && result.properties && Array.isArray(result.required)) {
|
|
result.required = result.required.filter((field: any) => field in result.properties)
|
|
}
|
|
|
|
if (result.type === "array" && !hasCombiner(result)) {
|
|
if (result.items == null) {
|
|
result.items = {}
|
|
}
|
|
// Ensure items has a type only when it's still schema-empty.
|
|
if (isPlainObject(result.items) && !hasSchemaIntent(result.items)) {
|
|
result.items.type = "string"
|
|
}
|
|
}
|
|
|
|
// Remove properties/required from non-object types (Gemini rejects these)
|
|
if (result.type && result.type !== "object" && !hasCombiner(result)) {
|
|
delete result.properties
|
|
delete result.required
|
|
}
|
|
|
|
return result
|
|
}
|
|
|
|
schema = sanitizeGemini(schema)
|
|
}
|
|
|
|
return schema as JSONSchema7
|
|
}
|
|
}
|