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https://github.com/DayuanJiang/next-ai-draw-io.git
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Found by the second PR review: - With AWS_BEARER_TOKEN_BEDROCK set on the server, a request with the user's AWS keys ran on the server's token: the Bedrock SDK prefers it. Checked with Bedrock: invalid user keys used to get an answer. - An OpenAI key with the official URL filled in (the settings form does that) went to the Responses API. Back to main's rule: a configured base URL uses Chat Completions. - A user's Ollama key went to the server's OLLAMA_BASE_URL, for chat and for the model list. Like every other provider, it goes to the user's base URL or Ollama Cloud. - The server's keyless Ollama and EdgeOne were not counted in the quota. - AI_MODEL models on the server's keys ran on any provider with a server key, not only on AI_PROVIDER. - A user's Azure key without a base URL used the server's resource name. - The admin panel's Test button failed whenever access codes were set. - DeepSeek's errors in the stream (plain text) were shown as they were, without a hint and also on the server's keys. Bedrock's throttling in the stream was not recognised as a rate limit. - The EdgeOne function accepted text/plain; x=application/json, which other sites can send without a CORS preflight. - Desktop app: a launch that found the old port taken for a moment (the previous version still quitting after an update) remembered the new port for good. The new port is kept only when Windows reserves the old one. A failed read of the presets file moved it aside as corrupt, and a save could then replace the presets. Switching presets on the same port now reloads the page. The dev launcher no longer misses a preset change made before or during a restart.
202 lines
6.7 KiB
TypeScript
202 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 without a key that is the server's Ollama, else the SDK's local
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* default; a local default in PROVIDER_INFO (SGLang's) only fills the
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* settings form.
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*/
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function listFallbackUrl(provider: ProviderName, apiKey?: string): string {
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if (provider === "ollama" && !apiKey) {
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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, apiKey))
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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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