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oRPC AI SDK Integration

Seamlessly use AI SDK inside your oRPC projects without any extra overhead.

Skill by Ali Torki

IndexedMIT★ 9
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ali-master-orpc-ai-sdk-integration

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About

Seamlessly use AI SDK inside your oRPC projects without any extra overhead.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/orpc-ai-sdk-integration

What's inside

Skill name
oRPC AI SDK Integration
Description
Seamlessly use AI SDK inside your oRPC projects without any extra overhead.
License
MIT
Metadata
author: Ali Torki · version: 1.0.0 · homepage: https://github.com/ali-master
Instructions
105 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "oRPC AI SDK Integration" does not match folder "orpc-ai-sdk"

Files (2)

  • SKILL.md
  • metadata.json

SKILL.md (first lines)

# AI SDK Integration

[AI SDK](https://ai-sdk.dev/) 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.

## Server

Use `streamToEventIterator` to convert AI SDK streams to [oRPC Event Iterators](/docs/event-iterator).

```ts
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())
  })
```

## Client

Convert the event iterator back to a stream using `eventIteratorToStream` or `eventIteratorToUnproxiedDataStream`.

```tsx
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 `eventIteratorToUnproxiedDataStream` because AI SDK uses `structuredClone`, which doesn't support proxied data.

## `implementTool` helper

Implements a procedure contract as an [AI SDK tool](https://ai-sdk.dev/docs/foundations/tools).

```ts
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` helper

Converts a procedure into an AI SDK Tool.

```ts
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: {} })
```

From ali-master/skills, MIT.

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Last commit (this folder)
May 15, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Ali Torki

Cite this page

oRPC AI SDK Integration skill. Agent Mart. https://agentmart.dev/skills/ali-master-orpc-ai-sdk-integration (last updated 2026-10-24)