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@agentcc/vercel

v1.0.0

Published

Vercel AI SDK provider for the AgentCC AI Gateway — use generateText/streamText with AgentCC routing, guardrails, and caching.

Downloads

72

Readme

@agentcc/vercel

Vercel AI SDK provider for the AgentCC gateway. Use generateText, streamText, structured output, and tools through the Vercel AI SDK while routing through AgentCC's routing, caching, guardrails, and cost tracking.

Install

npm install @agentcc/vercel

Peer dependencies:

npm install ai@">=3.0.0" @ai-sdk/openai@">=0.0.40"

Usage

generateText

import { createAgentCC } from "@agentcc/vercel";
import { generateText } from "ai";

const agentcc = createAgentCC({
  apiKey: process.env.AGENTCC_API_KEY,
  baseURL: "https://gateway.futureagi.com/v1",
});

const { text } = await generateText({
  model: agentcc("gpt-4o"),
  prompt: "Explain the difference between SSE and WebSockets.",
});
console.log(text);

streamText

import { streamText } from "ai";

const result = await streamText({
  model: agentcc("gpt-4o"),
  prompt: "Write a short poem about distributed systems.",
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

Gateway features

createAgentCC accepts gateway options that are automatically serialized as request headers:

const agentcc = createAgentCC({
  apiKey: process.env.AGENTCC_API_KEY,
  baseURL: "https://gateway.futureagi.com/v1",
  // Fallback routing: try GPT-4o, fall back to Claude on failure
  config: {
    strategy: "fallback",
    targets: [
      { provider: "openai", model: "gpt-4o" },
      { provider: "anthropic", model: "claude-sonnet-4-20250514" },
    ],
  },
  cacheEnabled: true,
  cacheTtl: "5m",
  guardrailPolicy: "pii-block",
});

const { text } = await generateText({
  model: agentcc("gpt-4o"),
  prompt: "Summarize this document.",
});

Tools

@agentcc/vercel is a thin wrapper over @ai-sdk/openai, so all Vercel AI SDK features — tools, structured output, multi-step tool loops — work as-is:

import { streamText, tool } from "ai";
import { z } from "zod";

const result = await streamText({
  model: agentcc("gpt-4o"),
  prompt: "What is the weather in London?",
  tools: {
    weather: tool({
      description: "Get current weather",
      parameters: z.object({ city: z.string() }),
      execute: async ({ city }) => ({ temp: 18, unit: "C" }),
    }),
  },
});

Environment variables

| Variable | Description | |---|---| | AGENTCC_API_KEY | API key (sk-agentcc-*) | | AGENTCC_GATEWAY_URL or AGENTCC_BASE_URL | Gateway base URL |

Documentation

https://docs.futureagi.com

License

Apache 2.0 — see LICENSE.