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chore: import upstream snapshot with attribution
2026-07-13 13:40:13 +08:00

144 lines
4.1 KiB
TypeScript

import { getDistinctId, posthogServer } from "@/lib/posthog-server";
import { createPrismTracer, prismAISDK } from "@/lib/prism-server";
import {
injectQuoteContext,
unstable_injectInteractableContext as injectInteractableContext,
} from "@assistant-ui/react-ai-sdk";
import { checkRateLimit } from "@/lib/rate-limit";
import { validateGeneralChatInput } from "@/lib/validate-input";
import { getModel, withTracing } from "@/lib/ai/provider";
import { AISDKToolkit } from "@assistant-ui/react-ai-sdk";
import docsToolkit from "@/lib/docs-toolkit";
import {
convertToModelMessages,
pruneMessages,
stepCountIs,
streamText,
} from "ai";
export const maxDuration = 30;
const aiToolkit = new AISDKToolkit({ toolkit: docsToolkit });
const ALLOWED_ORIGINS = [
"https://assistant-ui-expo.vercel.app",
"https://assistant-ui-ink.vercel.app",
"http://localhost:8081",
];
function corsHeaders(req: Request) {
const origin = req.headers.get("origin") ?? "";
if (!ALLOWED_ORIGINS.includes(origin)) return {};
return {
"Access-Control-Allow-Origin": origin,
"Access-Control-Allow-Methods": "POST, OPTIONS",
"Access-Control-Allow-Headers": "Content-Type, User-Agent",
};
}
export async function OPTIONS(req: Request) {
return new Response(null, { status: 204, headers: corsHeaders(req) });
}
export async function POST(req: Request) {
try {
const rateLimitResponse = await checkRateLimit(req);
if (rateLimitResponse) return rateLimitResponse;
const body = await req.json();
const { messages, system: rawSystem, tools, config } = body;
// Basic validation: only accept short system prompts to limit abuse surface
const MAX_SYSTEM_LENGTH = 4000;
const system =
typeof rawSystem === "string" && rawSystem.length <= MAX_SYSTEM_LENGTH
? rawSystem
: undefined;
const inputError = validateGeneralChatInput(messages);
if (inputError) {
const cors = corsHeaders(req);
for (const [key, value] of Object.entries(cors)) {
inputError.headers.set(key, value);
}
return inputError;
}
const baseModel = getModel(config?.modelName);
const distinctId = getDistinctId(req);
const prismTracer = createPrismTracer();
const posthogModel = posthogServer
? withTracing(baseModel, posthogServer, {
posthogDistinctId: distinctId,
posthogPrivacyMode: false,
posthogProperties: {
$ai_span_name: "general_chat",
source: "general_chat",
},
})
: baseModel;
const prism = prismTracer
? prismAISDK(prismTracer, posthogModel, {
name: "general_chat",
endUserId: distinctId,
})
: null;
const prunedMessages = pruneMessages({
messages: await convertToModelMessages(
injectInteractableContext(injectQuoteContext(messages)),
),
reasoning: "none",
});
const result = streamText({
model: prism?.model ?? posthogModel,
...(system ? { system } : {}),
messages: prunedMessages,
maxOutputTokens: 4096,
stopWhen: stepCountIs(10),
tools: await aiToolkit.tools({ frontend: tools }),
onFinish: async () => {
await prism?.end();
},
onError: async ({ error }) => {
console.error(error);
await prism?.end({ status: "error" });
},
onAbort: async () => {
await prism?.end();
},
});
const cors = corsHeaders(req);
const response = result.toUIMessageStreamResponse({
// gets usage and modelId for assistant-cloud telemetry reports
messageMetadata: ({ part }) => {
if (part.type === "finish-step") {
return {
modelId: part.response.modelId,
};
}
if (part.type === "finish") {
return {
usage: part.totalUsage,
};
}
return undefined;
},
});
// Append CORS headers
for (const [key, value] of Object.entries(cors)) {
response.headers.set(key, value);
}
return response;
} catch (e) {
console.error("[api/chat]", e);
return new Response("Request failed", { status: 500 });
}
}