AgentCC SDK

AgentCC is an AI gateway that sits between your application and LLM providers, offering an OpenAI-compatible REST API at https://gateway.futureagi.com/v1. This monorepo contains the official client SDKs for Python and TypeScript, along with framework integrations for LangChain.js, LlamaIndex.TS, React, and the Vercel AI SDK.

Packages

Package	Runtime	Install	Purpose
agentcc	Python 3.9+	pip install agentcc	Core Python client
@agentcc/client	Node 18+	npm install @agentcc/client	Core TypeScript client
@agentcc/langchain	Node 18+	npm install @agentcc/langchain	Drop-in ChatOpenAI replacement for LangChain.js
@agentcc/llamaindex	Node 18+	npm install @agentcc/llamaindex	LlamaIndex.TS LLM and embedding integration
@agentcc/react	Node 18+	npm install @agentcc/react	React hooks and context for chat UIs
@agentcc/vercel	Node 18+	npm install @agentcc/vercel	Vercel AI SDK provider

Quick start

Python

import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],
    base_url="https://gateway.futureagi.com/v1",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

TypeScript

import { AgentCC } from "@agentcc/client";

const client = new AgentCC({
  apiKey: process.env.AGENTCC_API_KEY,
  baseUrl: "https://gateway.futureagi.com/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Requirements

• Python 3.9+ (for agentcc)
• Node 18+ (for @agentcc/* packages)

Documentation

Full documentation is at https://docs.futureagi.com.

Per-package READMEs:

• Python SDK
• TypeScript SDK
• @agentcc/langchain
• @agentcc/llamaindex
• @agentcc/react
• @agentcc/vercel

License

Apache 2.0 — see LICENSE.