模型网关

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://openrouter.ai/api/v1',
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await openai.chat.completions.create({
  model: 'openai/gpt-4o-mini',
  messages: [{ role: 'user', content: 'Summarize this note.' }],
});

import io.ktor.client.HttpClient
import io.ktor.client.call.body
import io.ktor.client.plugins.contentnegotiation.ContentNegotiation
import io.ktor.client.request.header
import io.ktor.client.request.post
import io.ktor.client.request.setBody
import io.ktor.http.ContentType
import io.ktor.http.contentType
import io.ktor.serialization.kotlinx.json.json
import kotlinx.serialization.Serializable

@Serializable
data class ChatRequest(val prompt: String)

@Serializable
data class ChatResponse(val text: String)

val http = HttpClient {
    install(ContentNegotiation) {
        json()
    }
}

suspend fun sendPrompt(prompt: String, sessionToken: String): ChatResponse {
    return http.post("https://your-app.example/api/chat") {
        header("Authorization", "Bearer $sessionToken")
        contentType(ContentType.Application.Json)
        setBody(ChatRequest(prompt))
    }.body()
}