mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
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Found by the PR review, each with a test that failed first: - Quota: any key header skipped it, even one the provider never reads (x-aws-access-key-id with OpenAI), so a request ran on the server's key without being counted. The check now runs after the model is resolved and uses usesServerCredentials. On main already. - usesServerCredentials read the raw base URL; "/" cleans up to none, so an Ollama request ran on the server's key past the server-model check. - SGLang's default 127.0.0.1:8000 only fills the settings form. Chat and the model list used it as a real address, so the server called its own machine even with private URLs blocked. Now a base URL is required. - With a user's OpenAI key and no base URL, the SDK read the server's OPENAI_BASE_URL. The official endpoint is now passed. On main already. - The Test button refused nothing on the server's keys (Ollama Cloud), and a 15 s timeout reported "connected, no tool call". - The model list for Ollama without a base URL came from ollama.com while chat went to the server's Ollama. - Bedrock's "Too many tokens, please wait" counted as context too long. - On the server's keys the provider's error text stays in the server log; it can name the server's AWS account, role or internal hosts. - Desktop app: the preset keys are the user's own (NEXT_AI_DRAWIO_DESKTOP), so Max Output Tokens can be raised and keyless models in settings work again. A launch that found the remembered port taken no longer replaces it, which hid the user's chats and settings for good.
201 lines
6.7 KiB
TypeScript
201 lines
6.7 KiB
TypeScript
import { createGateway } from "ai"
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import { getModelInfo } from "@/lib/model-catalog"
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import {
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normalizeBaseUrl,
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PROVIDER_INFO,
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type ProviderName,
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} from "@/lib/types/model-config"
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/** A model a provider offers. tools is false when it cannot call tools. */
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export interface ListedModel {
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id: string
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tools?: boolean
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}
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export const AIHUBMIX_MODELS_ENDPOINT = "https://aihubmix.com/api/v1/models"
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export function canListModels(provider: ProviderName): boolean {
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return (
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Object.hasOwn(PROVIDER_INFO, provider) &&
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!!PROVIDER_INFO[provider].modelList
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)
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}
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// Models in OpenAI-style lists that are not for chat
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const NON_CHAT =
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/(?:^|[-/_])(?:embed(?:ding)?s?|whisper|tts|transcribe|dall-e|moderation|rerank|realtime|sora)(?:$|[-/_])|gpt-image/i
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const NON_CHAT_AIHUBMIX_TYPES = new Set([
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"embedding",
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"image_generation",
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"rerank",
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"transcription",
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"tts",
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"video",
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])
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/** Chat model ids from AIHubMix's public model list */
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export function extractAihubmixModelIds(payload: unknown): string[] {
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const data = (payload as { data?: unknown })?.data
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if (!Array.isArray(data)) return []
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const ids = new Set<string>()
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for (const item of data) {
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const record = item as { model_id?: unknown; types?: unknown }
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if (typeof record?.model_id !== "string" || !record.model_id.trim()) {
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continue
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}
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const types = new Set(
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typeof record.types === "string"
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? record.types.split(",").map((t) => t.trim())
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: [],
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)
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if (!types.has("llm")) continue
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if ([...NON_CHAT_AIHUBMIX_TYPES].some((t) => types.has(t))) continue
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ids.add(record.model_id.trim())
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}
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return [...ids]
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}
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/** GET a JSON list; a failed request carries its status for the error hint */
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async function getJson(
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url: string,
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headers: Record<string, string>,
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fetchFn: typeof fetch,
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): Promise<any> {
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const response = await fetchFn(url, {
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headers,
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signal: AbortSignal.timeout(15_000),
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})
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if (!response.ok) {
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throw Object.assign(
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new Error(`The model list request failed (${response.status})`),
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{ statusCode: response.status },
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)
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}
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return response.json()
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}
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/**
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* Where to list from without the user's base URL: where chat goes then. For
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* Ollama that is the server's Ollama, else the SDK's local default; a local
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* default in PROVIDER_INFO (SGLang's) only fills the settings form.
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*/
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function listFallbackUrl(provider: ProviderName): string {
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if (provider === "ollama") {
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return process.env.OLLAMA_BASE_URL || "http://127.0.0.1:11434/api"
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}
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const url = PROVIDER_INFO[provider].defaultBaseUrl
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return url?.startsWith("https://") ? url : ""
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}
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/**
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* The provider's chat models, with tool support from the provider's own
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* data or else models.dev. Only the client's key is used, so the server's
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* keys never go to a URL the client chose.
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*/
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export async function listProviderModels(
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provider: ProviderName,
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{ apiKey, baseUrl }: { apiKey?: string; baseUrl?: string },
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fetchFn: typeof fetch = fetch,
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): Promise<ListedModel[]> {
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const base = normalizeBaseUrl(baseUrl || listFallbackUrl(provider))
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const bearer: Record<string, string> = apiKey
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? { Authorization: `Bearer ${apiKey}` }
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: {}
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let models: ListedModel[]
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// AIHubMix has a public list, unless the user points to another
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// endpoint, which is OpenAI-compatible
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const style =
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provider === "aihubmix" &&
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baseUrl &&
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!/^https:\/\/aihubmix\.com(\/v1)?$/.test(base)
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? "openai"
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: PROVIDER_INFO[provider].modelList
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switch (style) {
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case "anthropic": {
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const data = await getJson(
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`${base}/models?limit=1000`,
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{
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"x-api-key": apiKey ?? "",
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"anthropic-version": "2023-06-01",
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},
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fetchFn,
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)
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models = (data.data ?? []).map((m: { id: string }) => ({
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id: m.id,
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}))
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break
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}
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case "google": {
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// The key goes in a header: in the URL it would end up in logs
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const data = await getJson(
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`${base}/models?pageSize=1000`,
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{ "x-goog-api-key": apiKey ?? "" },
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fetchFn,
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)
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models = (data.models ?? [])
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.filter((m: { supportedGenerationMethods?: string[] }) =>
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m.supportedGenerationMethods?.includes("generateContent"),
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)
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.map((m: { name: string }) => ({
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id: m.name.replace(/^models\//, ""),
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}))
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break
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}
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case "ollama": {
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const api = base.endsWith("/api") ? base : `${base}/api`
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const data = await getJson(`${api}/tags`, bearer, fetchFn)
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models = (data.models ?? []).map((m: { name: string }) => ({
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id: m.name,
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}))
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break
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}
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case "openrouter": {
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const data = await getJson(`${base}/models`, bearer, fetchFn)
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models = (data.data ?? []).map(
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(m: { id: string; supported_parameters?: string[] }) => ({
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id: m.id,
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...(m.supported_parameters && {
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tools: m.supported_parameters.includes("tools"),
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}),
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}),
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)
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break
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}
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case "gateway": {
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const { models: entries } = await createGateway({
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...(apiKey && { apiKey }),
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...(baseUrl && { baseURL: base }),
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fetch: fetchFn,
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}).getAvailableModels()
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models = entries
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.filter((m) => !m.modelType || m.modelType === "language")
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.map((m) => ({ id: m.id }))
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break
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}
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case "aihubmix": {
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const data = await getJson(AIHUBMIX_MODELS_ENDPOINT, {}, fetchFn)
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models = extractAihubmixModelIds(data).map((id) => ({ id }))
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break
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}
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default: {
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if (!base) {
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throw new Error(
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`${PROVIDER_INFO[provider].label} needs a base URL to list its models.`,
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)
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}
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const data = await getJson(`${base}/models`, bearer, fetchFn)
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models = (data.data ?? [])
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.map((m: { id: string }) => ({ id: m.id }))
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.filter((m: ListedModel) => !NON_CHAT.test(m.id))
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}
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}
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return models.map((m) => ({
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...m,
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tools: m.tools ?? getModelInfo(provider, m.id)?.tools,
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}))
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}
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