Bridge by Wekoya / Guides / Use the Vercel AI SDK with Bridge

Use the Vercel AI SDK with Bridge

In short: Create a provider with createOpenAI({ baseURL, apiKey }) pointed at Bridge and call bridge.chat(model) for Chat Completions. The default bridge(model) uses the Responses API, which Bridge also answers. Streaming, tools and structured output work on every model that supports them, billed in naira.

Updated 8 November 2026

npm install ai @ai-sdk/openai

import { createOpenAI } from "@ai-sdk/openai"
import { streamText } from "ai"

const bridge = createOpenAI({
  name: "bridge",
  baseURL: "https://wekoya-api.wekoya.tech/v1",
  apiKey: process.env.WEKOYA_API_KEY,
})

const result = streamText({
  model: bridge.chat("claude-sonnet-5-5"),
  prompt: "Write a welcome message for a Lagos bakery.",
})
for await (const text of result.textStream) process.stdout.write(text)

• bridge.chat(model) calls Chat Completions and carries every Bridge option. Recommended.
• bridge(model) calls the Responses API. It works too, statelessly: the SDK sends the whole conversation each time.
• Or use createOpenAICompatible from @ai-sdk/openai-compatible, which always uses Chat Completions.
• Keep the key on the server, in a route handler or server action. Never in a NEXT_PUBLIC_ variable.

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