The Vercel AI SDK talks to Anoman through its OpenAI-compatible (or Anthropic) provider — generateText and streamText work unchanged.

Prerequisites

An Anoman API key — create one in the dashboard (format anm-sk-…).
Vercel AI SDK installed and up to date.
A model ID from the Anoman catalog, e.g. gpt-4o, gpt-4o-mini, or claude-sonnet-4-6.

Enable streaming for long agent runs

Set stream: true on requests. Autonomous, multi-step, and long-thinking tasks can exceed the 100-second edge timeout and fail with a 524 error; streaming returns tokens as they are generated and keeps the connection alive, so the request completes. Most tools stream by default — confirm it is on for agentic use.

More detail in the streaming guide.

Create an Anoman provider

Use createOpenAICompatible from @ai-sdk/openai-compatible with Anoman's base URL and key.

import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
import { streamText } from "ai";
 
const anoman = createOpenAICompatible({
  name: "anoman",
  apiKey: process.env.ANOMAN_API_KEY,
  baseURL: "https://api.anoman.io/v1",
});
 
const { textStream } = await streamText({
  model: anoman("gpt-4o"),
  prompt: "Explain retrieval-augmented generation.",
});

Prefer Anthropic?

Use createAnthropic from @ai-sdk/anthropic with Anoman's Anthropic base URL.

import { createAnthropic } from "@ai-sdk/anthropic";
 
const anoman = createAnthropic({
  apiKey: process.env.ANOMAN_API_KEY,
  baseURL: "https://api.anoman.io/anthropic",
});
// anoman("claude-sonnet-4-6")

Verify the guardrails are active

Every Anoman response carries guardrail result headers. Inspect them in your dashboard traces to confirm the pipeline is running on Vercel AI SDK requests — prompt-injection detection, PII masking, and content moderation all apply automatically.

X-Anoman-Guardrail-Injection: pass score=0.03
X-Anoman-Guardrail-Pii: pass
X-Anoman-Guardrail-Content: pass
X-Anoman-Cache: none

Need help with your integration?

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Connect Vercel AI SDK to Anoman AI