refactor(providers): one model factory for chat and the settings Test button

- getAIModel resolves credentials (client key, server env vars, the
  existing SSRF rules) and createModel builds the model by SDK. The
  provider-by-provider switch shrinks from 24 cases to the few that
  differ (lib/ai-providers.ts 1531 -> 1106 lines)
- /api/validate-model calls getAIModel instead of its own 24-case switch
  (503 -> 175 lines), which had drifted from the chat: it built Azure
  with createOpenAI, Kimi and MiMo with createOpenAI instead of
  createDeepSeek, and the official OpenAI endpoint with Chat Completions.
  A passing test now means the chat works
- Plain OpenAI-compatible providers (SiliconFlow, SGLang, ModelScope,
  GLM, Qwen, Qiniu, Novita, Atlas Cloud, EdgeOne, Doubao, MiniMax in
  OpenAI mode, AIHubMix on a custom URL) use @ai-sdk/openai-compatible,
  which reads reasoning_content, so their reasoning shows, and accepts
  SGLang's stream as is (its 95-line stream rewrite is gone).
  includeUsage keeps token usage for quotas. <think> tags in their text
  become reasoning (extractReasoningMiddleware)
- SGLang without a base URL used OpenAI's endpoint; it now defaults to
  http://127.0.0.1:8000/v1 like the Test button did
- Chat requests to a client base URL refuse redirects, as the Test
  button already did (redirectGuardedFetch moves to lib/ssrf-protection)
- The Test button streams like the chat (the ModelScope special case is
  gone), times out after 15 s, does not retry, asks the model to call a
  ping tool and warns when it answers without one, and tests all models
  at once. The time each test took shows on its check mark
- Unknown provider names are rejected with Object.hasOwn, and the error
  texts list providers from PROVIDER_INFO instead of hand-kept lists
This commit is contained in:
dayuan.jiang
2026-10-04 13:31:47 +09:00
parent b7c26916cd
commit c24aae6de0
9 changed files with 609 additions and 1120 deletions
+59 -381
View File
@@ -1,22 +1,9 @@
import { createAmazonBedrock } from "@ai-sdk/amazon-bedrock"
import { createAnthropic } from "@ai-sdk/anthropic"
import { createDeepSeek, deepseek } from "@ai-sdk/deepseek"
import { createGoogleGenerativeAI } from "@ai-sdk/google"
import { createVertex } from "@ai-sdk/google-vertex"
import { createOpenAI } from "@ai-sdk/openai"
import { createAihubmix } from "@aihubmix/ai-sdk-provider"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { createGateway, generateText } from "ai"
import { streamText, tool } from "ai"
import { NextResponse } from "next/server"
import { createOllama } from "ollama-ai-provider-v2"
import { z } from "zod"
import { checkAccessCode } from "@/lib/access-code"
import {
AIHUBMIX_APP_CODE,
isAihubmixStandardBaseURL,
normalizeMiniMaxBaseURL,
} from "@/lib/ai-providers"
import { getAIModel } from "@/lib/ai-providers"
import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
export const runtime = "nodejs"
@@ -33,18 +20,16 @@ interface ValidateRequest {
vertexApiKey?: string // Express Mode API key
}
// With private URLs blocked, a public baseUrl could still redirect the
// request to an internal host, so redirects are refused in that case.
function redirectGuardedFetch(): typeof fetch | undefined {
if (allowPrivateUrls()) return undefined
return async (input, init) => {
const response = await fetch(input, { ...init, redirect: "manual" })
if (response.status >= 300 && response.status < 400) {
throw new Error("Redirects are not allowed for custom base URLs")
}
return response
}
}
const TEST_TIMEOUT_MS = 15_000
// Drawing works through tool calls, so the test asks for one
const PING_TOOL = tool({
description: "Report that the connection works.",
inputSchema: z.object({}),
})
const NO_TOOL_CALL_WARNING =
"Connected, but the model answered without calling a tool. It may not support tool calls, which drawing needs."
export async function POST(req: Request) {
// Lets the server send requests to arbitrary URLs, so require the access code
@@ -108,364 +93,55 @@ export async function POST(req: Request) {
)
}
const guardedFetch = redirectGuardedFetch()
let model: any
switch (provider) {
case "openai": {
const openai = createOpenAI({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = openai.chat(modelId)
break
}
case "anthropic": {
const anthropic = createAnthropic({
apiKey,
baseURL: baseUrl || "https://api.anthropic.com/v1",
fetch: guardedFetch,
})
model = anthropic(modelId)
break
}
case "google": {
const google = createGoogleGenerativeAI({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = google(modelId)
break
}
case "vertexai": {
const vertex = createVertex({
apiKey: vertexApiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = vertex(modelId)
break
}
case "azure": {
const azure = createOpenAI({
apiKey,
baseURL: baseUrl,
fetch: guardedFetch,
})
model = azure.chat(modelId)
break
}
case "bedrock": {
const bedrock = createAmazonBedrock({
accessKeyId: awsAccessKeyId,
secretAccessKey: awsSecretAccessKey,
region: awsRegion,
})
model = bedrock(modelId)
break
}
case "openrouter": {
const openrouter = createOpenRouter({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = openrouter(modelId)
break
}
case "aihubmix": {
const defaultBaseURL = PROVIDER_INFO.aihubmix.defaultBaseUrl
if (
isAihubmixStandardBaseURL(baseUrl) ||
baseUrl === defaultBaseURL
) {
const aihubmix = createAihubmix({
apiKey,
appCode: AIHUBMIX_APP_CODE,
})
model = aihubmix(modelId)
} else {
const aihubmixCompatible = createOpenAI({
apiKey,
baseURL: baseUrl,
fetch: guardedFetch,
})
model = aihubmixCompatible.chat(modelId)
}
break
}
case "deepseek": {
if (baseUrl || apiKey) {
const ds = createDeepSeek({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = ds(modelId)
} else {
model = deepseek(modelId)
}
break
}
case "siliconflow": {
const sf = createOpenAI({
apiKey,
baseURL: baseUrl || "https://api.siliconflow.cn/v1",
fetch: guardedFetch,
})
model = sf.chat(modelId)
break
}
case "ollama": {
// SECURITY: Mirror ai-providers.ts guard — only use server
// OLLAMA_API_KEY when the URL is also from server config.
const ollamaApiKey = baseUrl
? apiKey || undefined
: apiKey || process.env.OLLAMA_API_KEY || undefined
const ollamaProvider = createOllama({
baseURL:
baseUrl ||
process.env.OLLAMA_BASE_URL ||
"https://ollama.com/api",
fetch: guardedFetch,
...(ollamaApiKey && {
headers: { Authorization: `Bearer ${ollamaApiKey}` },
}),
})
model = ollamaProvider(modelId)
break
}
case "gateway": {
const gw = createGateway({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
fetch: guardedFetch,
})
model = gw(modelId)
break
}
case "edgeone": {
// EdgeOne uses OpenAI-compatible API via Edge Functions
// Need to pass cookies for EdgeOne Pages authentication,
// and the access code, which the edge function also checks
const cookieHeader = req.headers.get("cookie") || ""
const edgeone = createOpenAI({
apiKey: "edgeone", // EdgeOne doesn't require API key
baseURL: baseUrl || "/api/edgeai",
fetch: guardedFetch,
headers: {
cookie: cookieHeader,
"x-access-code": req.headers.get("x-access-code") || "",
},
})
model = edgeone.chat(modelId)
break
}
case "sglang": {
// SGLang is OpenAI-compatible
const sglang = createOpenAI({
apiKey: apiKey || "not-needed",
baseURL: baseUrl || "http://127.0.0.1:8000/v1",
fetch: guardedFetch,
})
model = sglang.chat(modelId)
break
}
case "doubao": {
// ByteDance Doubao: use DeepSeek for DeepSeek/Kimi models, OpenAI for others
const doubaoBaseUrl =
baseUrl || "https://ark.cn-beijing.volces.com/api/v3"
const lowerModelId = modelId.toLowerCase()
if (
lowerModelId.includes("deepseek") ||
lowerModelId.includes("kimi")
) {
const doubao = createDeepSeek({
apiKey,
baseURL: doubaoBaseUrl,
fetch: guardedFetch,
})
model = doubao(modelId)
} else {
const doubao = createOpenAI({
apiKey,
baseURL: doubaoBaseUrl,
fetch: guardedFetch,
})
model = doubao.chat(modelId)
}
break
}
case "modelscope": {
const baseURL =
baseUrl || "https://api-inference.modelscope.cn/v1"
const startTime = Date.now()
try {
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
const response = await (guardedFetch ?? fetch)(
`${baseURL}/chat/completions`,
{
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify({
model: modelId,
messages: [
{ role: "user", content: "Say 'OK'" },
],
max_tokens: 20,
stream: true,
enable_thinking: false,
}),
},
)
if (!response.ok) {
// Log the body but return only the status: the
// caller chooses baseUrl, so the body may come from
// any host the server can reach
console.error(
"[validate-model] ModelScope error body:",
await response.text(),
)
throw new Error(
`ModelScope API error (${response.status})`,
)
}
const contentType =
response.headers.get("content-type") || ""
const isValidStreamingResponse =
response.status === 200 &&
(contentType.includes("text/event-stream") ||
contentType.includes("application/json"))
if (!isValidStreamingResponse) {
throw new Error(
`Unexpected response format: ${contentType}`,
)
}
const responseTime = Date.now() - startTime
if (response.body) {
response.body.cancel().catch(() => {
/* Ignore cancellation errors */
})
}
return NextResponse.json({
valid: true,
responseTime,
note: "ModelScope model validated (using streaming API)",
})
} catch (error) {
console.error(
"[validate-model] ModelScope validation failed:",
error,
)
throw error
}
}
case "minimax": {
const rawUrl =
baseUrl ||
PROVIDER_INFO.minimax?.defaultBaseUrl ||
"https://api.minimaxi.com/anthropic"
const { baseURL: minimaxBaseUrl, isAnthropicCompatible } =
normalizeMiniMaxBaseURL(rawUrl)
if (isAnthropicCompatible) {
const minimax = createAnthropic({
apiKey,
baseURL: minimaxBaseUrl,
fetch: guardedFetch,
})
model = minimax.chat(modelId)
} else {
const minimax = createOpenAI({
apiKey,
baseURL: minimaxBaseUrl,
fetch: guardedFetch,
})
model = minimax.chat(modelId)
}
break
}
// GLM, Qwen, Kimi, Qiniu, Novita, MiMo, Atlas Cloud - OpenAI compatible
case "glm":
case "qwen":
case "kimi":
case "qiniu":
case "novita":
case "atlascloud":
case "mimo": {
const baseURL =
baseUrl ||
PROVIDER_INFO[provider as ProviderName]?.defaultBaseUrl ||
""
if (!baseURL) {
return NextResponse.json(
{
valid: false,
error: `No base URL configured for provider: ${provider}`,
},
{ status: 400 },
)
}
const openai = createOpenAI({
apiKey,
baseURL,
fetch: guardedFetch,
})
model = openai.chat(modelId)
break
}
default:
return NextResponse.json(
{ valid: false, error: `Unknown provider: ${provider}` },
{ status: 400 },
)
}
// Make a minimal test request
const startTime = Date.now()
await generateText({
model,
prompt: "Say 'OK'",
maxOutputTokens: 20,
// The same model the chat would use. A client base URL makes it
// refuse redirects to internal hosts.
const { model } = getAIModel({
provider,
modelId,
apiKey,
baseUrl,
awsAccessKeyId,
awsSecretAccessKey,
awsRegion,
vertexApiKey,
// EdgeOne checks the Pages cookies and the access code
...(provider === "edgeone" && {
headers: {
cookie: req.headers.get("cookie") || "",
"x-access-code": req.headers.get("x-access-code") || "",
},
}),
})
// Streaming, like the chat (some models only stream). Stop at the
// first tool call; a reasoning model that runs out of tokens first
// proves the connection but not tool support.
const startTime = Date.now()
const result = streamText({
model,
prompt: "Call the ping tool.",
tools: { ping: PING_TOOL },
maxOutputTokens: 1024,
maxRetries: 0,
abortSignal: AbortSignal.timeout(TEST_TIMEOUT_MS),
})
let calledTool = false
let finishReason: string | undefined
for await (const part of result.fullStream) {
if (part.type === "error") throw part.error
if (part.type === "tool-call") {
calledTool = true
break
}
if (part.type === "finish") finishReason = part.finishReason
}
const responseTime = Date.now() - startTime
return NextResponse.json({
valid: true,
responseTime,
...(!calledTool &&
finishReason !== "length" && { warning: NO_TOOL_CALL_WARNING }),
})
} catch (error) {
console.error("[validate-model] Error:", error)
@@ -473,7 +149,9 @@ export async function POST(req: Request) {
let errorMessage = "Validation failed"
if (error instanceof Error) {
// Extract meaningful error message
if (
if (error.name === "TimeoutError") {
errorMessage = `No answer within ${TEST_TIMEOUT_MS / 1000} seconds`
} else if (
error.message.includes("401") ||
error.message.includes("Unauthorized")
) {