orpc-ai-sdk-integration
Seamlessly use AI SDK inside your oRPC projects without any extra overhead.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Seamlessly use AI SDK inside your oRPC projects without any extra overhead.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Quick reference for Better Notify configuration, patterns, and common gotchas
Interactive setup wizard for adding Better Notify to a TypeScript/JavaScript project
Context and API guidance for Better Notify — end-to-end typed notification infrastructure for Node.js
Use oRPC inside an Astro project.
Functions to encode and decode base64url strings (URL-safe variant of base64).
A plugin for oRPC to batch requests and responses to reduce overhead.
| name | oRPC AI SDK Integration |
| description | Seamlessly use AI SDK inside your oRPC projects without any extra overhead. |
| license | MIT |
| metadata | {"author":"Ali Torki","homepage":"https://github.com/ali-master","version":"1.0.0"} |
AI SDK is a free open-source library for building AI-powered products. You can seamlessly integrate it with oRPC without any extra overhead.
Requires AI SDK v5.0.0 or later.
Use streamToEventIterator to convert AI SDK streams to oRPC Event Iterators.
import { os, streamToEventIterator, type } from '@orpc/server'
import { convertToModelMessages, streamText, UIMessage } from 'ai'
import { google } from '@ai-sdk/google'
export const chat = os
.input(type<{ chatId: string, messages: UIMessage[] }>())
.handler(async ({ input }) => {
const result = streamText({
model: google('gemini-1.5-flash'),
system: 'You are a helpful assistant.',
messages: await convertToModelMessages(input.messages),
})
return streamToEventIterator(result.toUIMessageStream())
})
Convert the event iterator back to a stream using eventIteratorToStream or eventIteratorToUnproxiedDataStream.
import { useChat } from '@ai-sdk/react'
import { eventIteratorToUnproxiedDataStream } from '@orpc/client'
export function Example() {
const { messages, sendMessage, status } = useChat({
transport: {
async sendMessages(options) {
return eventIteratorToUnproxiedDataStream(await client.chat({
chatId: options.chatId,
messages: options.messages,
}, { signal: options.abortSignal }))
},
reconnectToStream() {
throw new Error('Unsupported')
},
},
})
// render UI...
}
Prefer
eventIteratorToUnproxiedDataStreambecause AI SDK usesstructuredClone, which doesn't support proxied data.
implementTool helperImplements a procedure contract as an AI SDK tool.
import { oc } from '@orpc/contract'
import { AI_SDK_TOOL_META_SYMBOL, AiSdkToolMeta, implementTool } from '@orpc/ai-sdk'
import { z } from 'zod'
interface ORPCMeta extends AiSdkToolMeta {}
const base = oc.$meta<ORPCMeta>({})
const getWeatherContract = base
.meta({ [AI_SDK_TOOL_META_SYMBOL]: { title: 'Get Weather' } })
.route({ summary: 'Get the weather in a location' })
.input(z.object({ location: z.string() }))
.output(z.object({ location: z.string(), temperature: z.number() }))
const getWeatherTool = implementTool(getWeatherContract, {
execute: async ({ location }) => ({
location,
temperature: 72 + Math.floor(Math.random() * 21) - 10,
}),
})
createTool helperConverts a procedure into an AI SDK Tool.
import { os } from '@orpc/server'
import { AI_SDK_TOOL_META_SYMBOL, AiSdkToolMeta, createTool } from '@orpc/ai-sdk'
import { z } from 'zod'
const getWeatherProcedure = os
.meta({ [AI_SDK_TOOL_META_SYMBOL]: { title: 'Get Weather' } })
.route({ summary: 'Get the weather in a location' })
.input(z.object({ location: z.string() }))
.output(z.object({ location: z.string(), temperature: z.number() }))
.handler(async ({ input }) => ({
location: input.location,
temperature: 72,
}))
const getWeatherTool = createTool(getWeatherProcedure, { context: {} })