Bindu - A2A Protocol Compliant AI Agent Framework

A Bindu agent powered by MiniMax’s M2.7 model via OpenAI-compatible API.

Code

Create minimax_example.py with the code below, or save it directly from your editor.

"""MiniMax AI Research Agent

A Bindu agent powered by MiniMax's M2.7 model via OpenAI-compatible API.
MiniMax offers high-performance models with up to 1M context window.

Features:
- MiniMax M2.7 model (1M context)
- Web search integration via DuckDuckGo
- Research and summarization capabilities

Usage:
    python minimax_example.py

Environment:
    Requires MINIMAX_API_KEY in .env file
    Get your API key at https://platform.minimaxi.com
"""

import os
from bindu.penguin.bindufy import bindufy
from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.models.openai import OpenAILike

from dotenv import load_dotenv

load_dotenv()

# MiniMax API configuration
MINIMAX_API_KEY = os.getenv("MINIMAX_API_KEY")
MINIMAX_BASE_URL = "https://api.minimax.io/v1"

# Define your agent with MiniMax M2.7
agent = Agent(
    instructions="You are a research assistant that finds and summarizes information.",
    model=OpenAILike(
        id="MiniMax-M2.7",
        api_key=MINIMAX_API_KEY,
        base_url=MINIMAX_BASE_URL,
    ),
    tools=[DuckDuckGoTools()],
)


# Configuration
config = {
    "author": "your.email@example.com",
    "name": "minimax_research_agent",
    "description": "A research assistant agent powered by MiniMax AI",
    "deployment": {
        "url": os.getenv("BINDU_DEPLOYMENT_URL", "http://localhost:3773"),
        "expose": True,
        "cors_origins": ["http://localhost:5173"]
    },
}


# Handler function
def handler(messages: list[dict[str, str]]):
    """Process messages and return agent response.

    Args:
        messages: List of message dictionaries containing conversation history

    Returns:
        Agent response result
    """
    result = agent.run(input=messages)
    return result


# Bindu-fy it
if __name__ == "__main__":
    bindufy(config, handler)

How It Works

MiniMax Integration

Uses MiniMax M2.7 model with 1M context window
OpenAI-compatible API via OpenAILike model wrapper
High-performance research and analysis capabilities

Web Search

DuckDuckGoTools(): Enables web search for current information
Research assistant can find and summarize information from the web
Combines web search with MiniMax’s powerful reasoning

Configuration

Environment variable for deployment URL flexibility
Standard Bindu deployment on localhost:3773
CORS enabled for frontend integration

Dependencies

uv init
uv add bindu agno python-dotenv

Environment Setup

Create .env file:

MINIMAX_API_KEY=your_minimax_api_key_here
BINDU_DEPLOYMENT_URL=http://localhost:3773

Get your MiniMax API key at https://platform.minimaxi.com

Run

uv run minimax_example.py

Examples:

“Research the latest developments in quantum computing”
“Find information about climate change and its effects”
“Summarize current trends in artificial intelligence”

Example API Calls

Message Send Request

{
  "jsonrpc": "2.0",
  "method": "message/send",
  "params": {
    "message": {
      "role": "user",
      "kind": "message",
      "messageId": "9f11c870-5616-49ad-b187-d93cbb100001",
      "contextId": "9f11c870-5616-49ad-b187-d93cbb100002",
      "taskId": "9f11c870-5616-49ad-b187-d93cbb100003",
      "parts": [
        {
          "kind": "text",
          "text": "Research the latest developments in quantum computing"
        }
      ]
    },
    "configuration": {
      "acceptedOutputModes": ["application/json"]
    }
  },
  "id": "9f11c870-5616-49ad-b187-d93cbb100003"
}

Task get Request

{
  "jsonrpc": "2.0",
  "method": "tasks/get",
  "params": {
    "taskId": "9f11c870-5616-49ad-b187-d93cbb100003"
  },
  "id": "9f11c870-5616-49ad-b187-d93cbb100004"
}

Frontend Setup

# Clone the Bindu repository
git clone https://github.com/GetBindu/Bindu

# Navigate to frontend directory
cd frontend

# Install dependencies
npm install

# Start frontend development server
npm run dev

Open http://localhost:5173 and try to chat with the MiniMax research agent

Beginner

Specialized

Advanced

1.11 MiniMax Research Agent

Code

How It Works

Dependencies

Environment Setup

Run

Example API Calls

Frontend Setup

​Code

​How It Works

​Dependencies

​Environment Setup

​Run

​Example API Calls

​Frontend Setup

Code

How It Works

Dependencies

Environment Setup

Run

Example API Calls

Frontend Setup