mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-01-02 14:22:28 +08:00
feat: add EdgeOne Pages as AI provider (#456)
* feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * feat: edit diagram * feat: edit diagram * feat: edit diagram * feat: edit diagram * feat: edit diagram * feat: edit diagram * feat: edit diagram * feat: add edgeone provider * feat: add edgeone provider * feat: add edgeone provider * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: add cookie * fix: add cookie * fix: add cookie * fix: add cookie * fix: add cookie * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * fix: build error * feat: validate * feat: document link --------- Co-authored-by: zoejiezhou <zoejiezhou@tencent.com>
This commit is contained in:
zhoujie0531
5
.gitignore
vendored
5
.gitignore
vendored
@@ -62,4 +62,7 @@ push-via-ec2.sh
|
||||
*.snap
|
||||
|
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CLAUDE.md
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.spec-workflow
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.spec-workflow
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# edgeone
|
||||
.edgeone
|
||||
12
README.md
12
README.md
@@ -237,6 +237,18 @@ npm run dev
|
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|
||||
## Deployment
|
||||
|
||||
### Deploy to EdgeOne Pages
|
||||
|
||||
You can deploy with one click using [Tencent EdgeOne Pages](https://pages.edgeone.ai/).
|
||||
|
||||
Deploy by this button:
|
||||
|
||||
[](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/document/deployment-overview) for more details.
|
||||
|
||||
Additionally, deploying through Tencent EdgeOne Pages will also grant you a [daily free quota for DeepSeek models](https://pages.edgeone.ai/document/edge-ai).
|
||||
|
||||
### Deploy on Vercel (Recommended)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
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@@ -244,9 +244,22 @@ async function handleChatRequest(req: Request): Promise<Response> {
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||||
// === CACHE CHECK END ===
|
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||||
// Read client AI provider overrides from headers
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||||
const provider = req.headers.get("x-ai-provider")
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||||
let baseUrl = req.headers.get("x-ai-base-url")
|
||||
|
||||
// For EdgeOne provider, construct full URL from request origin
|
||||
// because createOpenAI needs absolute URL, not relative path
|
||||
if (provider === "edgeone" && !baseUrl) {
|
||||
const origin = req.headers.get("origin") || new URL(req.url).origin
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baseUrl = `${origin}/api/edgeai`
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||||
}
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||||
|
||||
// Get cookie header for EdgeOne authentication (eo_token, eo_time)
|
||||
const cookieHeader = req.headers.get("cookie")
|
||||
|
||||
const clientOverrides = {
|
||||
provider: req.headers.get("x-ai-provider"),
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||||
baseUrl: req.headers.get("x-ai-base-url"),
|
||||
provider,
|
||||
baseUrl,
|
||||
apiKey: req.headers.get("x-ai-api-key"),
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modelId: req.headers.get("x-ai-model"),
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||||
// AWS Bedrock credentials
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@@ -254,6 +267,11 @@ async function handleChatRequest(req: Request): Promise<Response> {
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awsSecretAccessKey: req.headers.get("x-aws-secret-access-key"),
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awsRegion: req.headers.get("x-aws-region"),
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awsSessionToken: req.headers.get("x-aws-session-token"),
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// Pass cookies for EdgeOne Pages authentication
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||||
...(provider === "edgeone" &&
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||||
cookieHeader && {
|
||||
headers: { cookie: cookieHeader },
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||||
}),
|
||||
}
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// Read minimal style preference from header
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||||
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@@ -121,7 +121,7 @@ export async function POST(req: Request) {
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{ status: 400 },
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)
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}
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} else if (provider !== "ollama" && !apiKey) {
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||||
} else if (provider !== "ollama" && provider !== "edgeone" && !apiKey) {
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return NextResponse.json(
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{ valid: false, error: "API key is required" },
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{ status: 400 },
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@@ -225,6 +225,21 @@ export async function POST(req: Request) {
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break
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}
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case "edgeone": {
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// EdgeOne uses OpenAI-compatible API via Edge Functions
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// Need to pass cookies for EdgeOne Pages authentication
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const cookieHeader = req.headers.get("cookie") || ""
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const edgeone = createOpenAI({
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apiKey: "edgeone", // EdgeOne doesn't require API key
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baseURL: baseUrl || "/api/edgeai",
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headers: {
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cookie: cookieHeader,
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},
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})
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model = edgeone.chat(modelId)
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break
|
||||
}
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|
||||
case "sglang": {
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// SGLang is OpenAI-compatible
|
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const sglang = createOpenAI({
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@@ -78,6 +78,7 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
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siliconflow: "siliconflow",
|
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sglang: "openai", // SGLang is OpenAI-compatible
|
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gateway: "vercel",
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edgeone: "tencent-cloud",
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doubao: "bytedance",
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}
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||||
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@@ -277,6 +278,7 @@ export function ModelConfigDialog({
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|
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// Check credentials based on provider type
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||||
const isBedrock = selectedProvider.provider === "bedrock"
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const isEdgeOne = selectedProvider.provider === "edgeone"
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if (isBedrock) {
|
||||
if (
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||||
!selectedProvider.awsAccessKeyId ||
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||||
@@ -285,7 +287,7 @@ export function ModelConfigDialog({
|
||||
) {
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||||
return
|
||||
}
|
||||
} else if (!selectedProvider.apiKey) {
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||||
} else if (!isEdgeOne && !selectedProvider.apiKey) {
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||||
return
|
||||
}
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||||
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@@ -308,13 +310,18 @@ export function ModelConfigDialog({
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setValidatingModelIndex(i)
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|
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try {
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||||
// For EdgeOne, construct baseUrl from current origin
|
||||
const baseUrl = isEdgeOne
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||||
? `${window.location.origin}/api/edgeai`
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||||
: selectedProvider.baseUrl
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||||
|
||||
const response = await fetch("/api/validate-model", {
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method: "POST",
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||||
headers: { "Content-Type": "application/json" },
|
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body: JSON.stringify({
|
||||
provider: selectedProvider.provider,
|
||||
apiKey: selectedProvider.apiKey,
|
||||
baseUrl: selectedProvider.baseUrl,
|
||||
baseUrl,
|
||||
modelId: model.modelId,
|
||||
// AWS Bedrock credentials
|
||||
awsAccessKeyId: selectedProvider.awsAccessKeyId,
|
||||
@@ -322,7 +329,6 @@ export function ModelConfigDialog({
|
||||
awsRegion: selectedProvider.awsRegion,
|
||||
}),
|
||||
})
|
||||
|
||||
const data = await response.json()
|
||||
|
||||
if (data.valid) {
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||||
@@ -876,6 +882,63 @@ export function ModelConfigDialog({
|
||||
)}
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
<div className="space-y-3">
|
||||
<div className="flex items-center gap-2">
|
||||
<Button
|
||||
variant={
|
||||
validationStatus ===
|
||||
"success"
|
||||
? "outline"
|
||||
: "default"
|
||||
}
|
||||
size="sm"
|
||||
onClick={
|
||||
handleValidate
|
||||
}
|
||||
disabled={
|
||||
validationStatus ===
|
||||
"validating"
|
||||
}
|
||||
className={cn(
|
||||
"h-9 px-4",
|
||||
validationStatus ===
|
||||
"success" &&
|
||||
"text-success border-success/30 bg-success-muted hover:bg-success-muted",
|
||||
)}
|
||||
>
|
||||
{validationStatus ===
|
||||
"validating" ? (
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
) : validationStatus ===
|
||||
"success" ? (
|
||||
<>
|
||||
<Check className="h-4 w-4 mr-1.5" />
|
||||
{
|
||||
dict
|
||||
.modelConfig
|
||||
.verified
|
||||
}
|
||||
</>
|
||||
) : (
|
||||
dict
|
||||
.modelConfig
|
||||
.test
|
||||
)}
|
||||
</Button>
|
||||
{validationStatus ===
|
||||
"error" &&
|
||||
validationError && (
|
||||
<p className="text-xs text-destructive flex items-center gap-1">
|
||||
<X className="h-3 w-3" />
|
||||
{
|
||||
validationError
|
||||
}
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
<>
|
||||
{/* API Key */}
|
||||
|
||||
@@ -48,6 +48,7 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
siliconflow: "siliconflow",
|
||||
sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
doubao: "bytedance",
|
||||
}
|
||||
|
||||
|
||||
@@ -206,6 +206,19 @@ npm run dev
|
||||
|
||||
## 部署
|
||||
|
||||
### 部署到腾讯云EdgeOne Pages
|
||||
|
||||
您可以通过[腾讯云EdgeOne Pages](https://pages.edgeone.ai/zh)一键部署。
|
||||
|
||||
直接点击此按钮一键部署：
|
||||
[](https://console.cloud.tencent.com/edgeone/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
查看[腾讯云EdgeOne Pages文档](https://pages.edgeone.ai/zh/document/product-introduction)了解更多详情。
|
||||
|
||||
同时，通过腾讯云EdgeOne Pages部署，也会获得[每日免费的DeepSeek模型额度](https://edgeone.cloud.tencent.com/pages/document/169925463311781888)。
|
||||
|
||||
### 部署到Vercel
|
||||
|
||||
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。
|
||||
|
||||
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
|
||||
|
||||
@@ -206,6 +206,20 @@ npm run dev
|
||||
|
||||
## デプロイ
|
||||
|
||||
### EdgeOne Pagesへのデプロイ
|
||||
|
||||
[Tencent EdgeOne Pages](https://pages.edgeone.ai/)を使用してワンクリックでデプロイできます。
|
||||
|
||||
このボタンでデプロイ：
|
||||
|
||||
[](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
詳細は[Tencent EdgeOne Pagesドキュメント](https://pages.edgeone.ai/document/deployment-overview)をご覧ください。
|
||||
|
||||
また、Tencent EdgeOne Pagesでデプロイすると、[DeepSeekモデルの毎日の無料クォータ](https://pages.edgeone.ai/document/edge-ai)が付与されます。
|
||||
|
||||
### Vercelへのデプロイ
|
||||
|
||||
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。
|
||||
|
||||
詳細は[Next.jsデプロイメントドキュメント](https://nextjs.org/docs/app/building-your-application/deploying)をご覧ください。
|
||||
|
||||
270
edge-functions/api/edgeai/chat/completions.ts
Normal file
270
edge-functions/api/edgeai/chat/completions.ts
Normal file
@@ -0,0 +1,270 @@
|
||||
/**
|
||||
* EdgeOne Pages Edge Function for OpenAI-compatible Chat Completions API
|
||||
*
|
||||
* This endpoint provides an OpenAI-compatible API that can be used with
|
||||
* AI SDK's createOpenAI({ baseURL: '/api/edgeai' })
|
||||
*
|
||||
* Uses EdgeOne Edge AI's AI.chatCompletions() which now supports native tool calling.
|
||||
*/
|
||||
|
||||
import { z } from "zod"
|
||||
|
||||
// EdgeOne Pages global AI object
|
||||
declare const AI: {
|
||||
chatCompletions(options: {
|
||||
model: string
|
||||
messages: Array<{ role: string; content: string | null }>
|
||||
stream?: boolean
|
||||
max_tokens?: number
|
||||
temperature?: number
|
||||
tools?: any
|
||||
tool_choice?: any
|
||||
}): Promise<ReadableStream<Uint8Array> | any>
|
||||
}
|
||||
|
||||
const messageItemSchema = z
|
||||
.object({
|
||||
role: z.enum(["user", "assistant", "system", "tool", "function"]),
|
||||
content: z.string().nullable().optional(),
|
||||
})
|
||||
.passthrough()
|
||||
|
||||
const messageSchema = z
|
||||
.object({
|
||||
messages: z.array(messageItemSchema),
|
||||
model: z.string().optional(),
|
||||
stream: z.boolean().optional(),
|
||||
tools: z.any().optional(),
|
||||
tool_choice: z.any().optional(),
|
||||
functions: z.any().optional(),
|
||||
function_call: z.any().optional(),
|
||||
temperature: z.number().optional(),
|
||||
top_p: z.number().optional(),
|
||||
max_tokens: z.number().optional(),
|
||||
presence_penalty: z.number().optional(),
|
||||
frequency_penalty: z.number().optional(),
|
||||
stop: z.union([z.string(), z.array(z.string())]).optional(),
|
||||
response_format: z.any().optional(),
|
||||
seed: z.number().optional(),
|
||||
user: z.string().optional(),
|
||||
n: z.number().int().optional(),
|
||||
logit_bias: z.record(z.string(), z.number()).optional(),
|
||||
parallel_tool_calls: z.boolean().optional(),
|
||||
stream_options: z.any().optional(),
|
||||
})
|
||||
.passthrough()
|
||||
|
||||
// Model configuration
|
||||
const ALLOWED_MODELS = [
|
||||
"@tx/deepseek-ai/deepseek-v32",
|
||||
"@tx/deepseek-ai/deepseek-r1-0528",
|
||||
"@tx/deepseek-ai/deepseek-v3-0324",
|
||||
]
|
||||
|
||||
const MODEL_ALIASES: Record<string, string> = {
|
||||
"deepseek-v3.2": "@tx/deepseek-ai/deepseek-v32",
|
||||
"deepseek-r1-0528": "@tx/deepseek-ai/deepseek-r1-0528",
|
||||
"deepseek-v3-0324": "@tx/deepseek-ai/deepseek-v3-0324",
|
||||
}
|
||||
|
||||
const CORS_HEADERS = {
|
||||
"Access-Control-Allow-Origin": "*",
|
||||
"Access-Control-Allow-Methods": "POST, OPTIONS",
|
||||
"Access-Control-Allow-Headers": "Content-Type, Authorization",
|
||||
}
|
||||
|
||||
/**
|
||||
* Create standardized response with CORS headers
|
||||
*/
|
||||
function createResponse(body: any, status = 200, extraHeaders = {}): Response {
|
||||
return new Response(JSON.stringify(body), {
|
||||
status,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
...CORS_HEADERS,
|
||||
...extraHeaders,
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* Handle OPTIONS request for CORS preflight
|
||||
*/
|
||||
function handleOptionsRequest(): Response {
|
||||
return new Response(null, {
|
||||
headers: {
|
||||
...CORS_HEADERS,
|
||||
"Access-Control-Max-Age": "86400",
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
export async function onRequest({ request, env }: any) {
|
||||
if (request.method === "OPTIONS") {
|
||||
return handleOptionsRequest()
|
||||
}
|
||||
|
||||
request.headers.delete("accept-encoding")
|
||||
|
||||
try {
|
||||
const json = await request.clone().json()
|
||||
const parseResult = messageSchema.safeParse(json)
|
||||
|
||||
if (!parseResult.success) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: parseResult.error.message,
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
400,
|
||||
)
|
||||
}
|
||||
|
||||
const { messages, model, stream, tools, tool_choice, ...extraParams } =
|
||||
parseResult.data
|
||||
|
||||
// Validate messages
|
||||
const userMessages = messages.filter(
|
||||
(message) => message.role === "user",
|
||||
)
|
||||
if (!userMessages.length) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: "No user message found",
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
400,
|
||||
)
|
||||
}
|
||||
|
||||
// Resolve model
|
||||
const requestedModel = model || ALLOWED_MODELS[0]
|
||||
const selectedModel = MODEL_ALIASES[requestedModel] || requestedModel
|
||||
|
||||
if (!ALLOWED_MODELS.includes(selectedModel)) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: `Invalid model: ${requestedModel}.`,
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
429,
|
||||
)
|
||||
}
|
||||
|
||||
console.log(
|
||||
`[EdgeOne] Model: ${selectedModel}, Tools: ${tools?.length || 0}, Stream: ${stream ?? true}`,
|
||||
)
|
||||
|
||||
try {
|
||||
const isStream = !!stream
|
||||
|
||||
// Non-streaming: return mock response for validation
|
||||
// AI.chatCompletions doesn't support non-streaming mode
|
||||
if (!isStream) {
|
||||
const mockResponse = {
|
||||
id: `chatcmpl-${Date.now()}`,
|
||||
object: "chat.completion",
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: selectedModel,
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: "OK",
|
||||
},
|
||||
finish_reason: "stop",
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
prompt_tokens: 10,
|
||||
completion_tokens: 1,
|
||||
total_tokens: 11,
|
||||
},
|
||||
}
|
||||
return createResponse(mockResponse)
|
||||
}
|
||||
|
||||
// Build AI.chatCompletions options for streaming
|
||||
const aiOptions: any = {
|
||||
...extraParams,
|
||||
model: selectedModel,
|
||||
messages,
|
||||
stream: true,
|
||||
}
|
||||
|
||||
// Add tools if provided
|
||||
if (tools && tools.length > 0) {
|
||||
aiOptions.tools = tools
|
||||
}
|
||||
if (tool_choice !== undefined) {
|
||||
aiOptions.tool_choice = tool_choice
|
||||
}
|
||||
|
||||
const aiResponse = await AI.chatCompletions(aiOptions)
|
||||
|
||||
// Streaming response
|
||||
return new Response(aiResponse, {
|
||||
headers: {
|
||||
"Content-Type": "text/event-stream; charset=utf-8",
|
||||
"Cache-Control": "no-cache, no-store, no-transform",
|
||||
"X-Accel-Buffering": "no",
|
||||
Connection: "keep-alive",
|
||||
...CORS_HEADERS,
|
||||
},
|
||||
})
|
||||
} catch (error: any) {
|
||||
// Handle EdgeOne specific errors
|
||||
try {
|
||||
const message = JSON.parse(error.message)
|
||||
if (message.code === 14020) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message:
|
||||
"The daily public quota has been exhausted. After deployment, you can enjoy a personal daily exclusive quota.",
|
||||
type: "rate_limit_error",
|
||||
},
|
||||
},
|
||||
429,
|
||||
)
|
||||
}
|
||||
return createResponse(
|
||||
{ error: { message: error.message, type: "api_error" } },
|
||||
500,
|
||||
)
|
||||
} catch {
|
||||
// Not a JSON error message
|
||||
}
|
||||
|
||||
console.error("[EdgeOne] AI error:", error.message)
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: error.message || "AI service error",
|
||||
type: "api_error",
|
||||
},
|
||||
},
|
||||
500,
|
||||
)
|
||||
}
|
||||
} catch (error: any) {
|
||||
console.error("[EdgeOne] Request error:", error.message)
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: "Request processing failed",
|
||||
type: "server_error",
|
||||
details: error.message,
|
||||
},
|
||||
},
|
||||
500,
|
||||
)
|
||||
}
|
||||
}
|
||||
5
edgeone.json
Normal file
5
edgeone.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"nodeFunctionsConfig": {
|
||||
"maxDuration": 120
|
||||
}
|
||||
}
|
||||
@@ -21,6 +21,7 @@ export type ProviderName =
|
||||
| "siliconflow"
|
||||
| "sglang"
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
|
||||
interface ModelConfig {
|
||||
@@ -40,6 +41,8 @@ export interface ClientOverrides {
|
||||
awsSecretAccessKey?: string | null
|
||||
awsRegion?: string | null
|
||||
awsSessionToken?: string | null
|
||||
// Custom headers (e.g., for EdgeOne cookie auth)
|
||||
headers?: Record<string, string>
|
||||
}
|
||||
|
||||
// Providers that can be used with client-provided API keys
|
||||
@@ -54,6 +57,7 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"siliconflow",
|
||||
"sglang",
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"doubao",
|
||||
]
|
||||
|
||||
@@ -375,6 +379,7 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
|
||||
siliconflow: "SILICONFLOW_API_KEY",
|
||||
sglang: "SGLANG_API_KEY",
|
||||
gateway: "AI_GATEWAY_API_KEY",
|
||||
edgeone: null, // No credentials needed - uses EdgeOne Edge AI
|
||||
doubao: "DOUBAO_API_KEY",
|
||||
}
|
||||
|
||||
@@ -463,7 +468,12 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
// SECURITY: Prevent SSRF attacks (GHSA-9qf7-mprq-9qgm)
|
||||
// If a custom baseUrl is provided, an API key MUST also be provided.
|
||||
// This prevents attackers from redirecting server API keys to malicious endpoints.
|
||||
if (overrides?.baseUrl && !overrides?.apiKey) {
|
||||
// Exception: EdgeOne provider doesn't require API key (uses Edge AI runtime)
|
||||
if (
|
||||
overrides?.baseUrl &&
|
||||
!overrides?.apiKey &&
|
||||
overrides?.provider !== "edgeone"
|
||||
) {
|
||||
throw new Error(
|
||||
`API key is required when using a custom base URL. ` +
|
||||
`Please provide your own API key in Settings.`,
|
||||
@@ -840,6 +850,21 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
break
|
||||
}
|
||||
|
||||
case "edgeone": {
|
||||
// EdgeOne Pages Edge AI - uses OpenAI-compatible API
|
||||
// AI SDK appends /chat/completions to baseURL
|
||||
// /api/edgeai + /chat/completions = /api/edgeai/chat/completions
|
||||
const baseURL = overrides?.baseUrl || "/api/edgeai"
|
||||
const edgeoneProvider = createOpenAI({
|
||||
apiKey: "edgeone", // Dummy key - EdgeOne doesn't require API key
|
||||
baseURL,
|
||||
// Pass cookies for EdgeOne Pages authentication (eo_token, eo_time)
|
||||
...(overrides?.headers && { headers: overrides.headers }),
|
||||
})
|
||||
model = edgeoneProvider.chat(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
const apiKey = overrides?.apiKey || process.env.DOUBAO_API_KEY
|
||||
const baseURL =
|
||||
@@ -856,7 +881,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
|
||||
default:
|
||||
throw new Error(
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, doubao`,
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao`,
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -11,6 +11,7 @@ export type ProviderName =
|
||||
| "siliconflow"
|
||||
| "sglang"
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
|
||||
// Individual model configuration
|
||||
@@ -85,6 +86,7 @@ export const PROVIDER_INFO: Record<
|
||||
defaultBaseUrl: "http://127.0.0.1:8000/v1",
|
||||
},
|
||||
gateway: { label: "AI Gateway" },
|
||||
edgeone: { label: "EdgeOne Pages" },
|
||||
doubao: {
|
||||
label: "Doubao (ByteDance)",
|
||||
defaultBaseUrl: "https://ark.cn-beijing.volces.com/api/v3",
|
||||
@@ -219,6 +221,7 @@ export const SUGGESTED_MODELS: Record<ProviderName, string[]> = {
|
||||
"anthropic/claude-3-5-sonnet",
|
||||
"google/gemini-2.0-flash",
|
||||
],
|
||||
edgeone: ["@tx/deepseek-ai/deepseek-v32"],
|
||||
doubao: [
|
||||
// ByteDance Doubao models
|
||||
"doubao-1.5-thinking-pro-250415",
|
||||
|
||||
@@ -88,6 +88,11 @@
|
||||
"unpdf": "^1.4.0",
|
||||
"zod": "^4.1.12"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"lightningcss": "^1.30.2",
|
||||
"lightningcss-linux-x64-gnu": "^1.30.2",
|
||||
"@tailwindcss/oxide-linux-x64-gnu": "^4.1.18"
|
||||
},
|
||||
"lint-staged": {
|
||||
"*.{js,ts,jsx,tsx,json,css}": [
|
||||
"biome check --write --no-errors-on-unmatched",
|
||||
|
||||
Reference in New Issue
Block a user