Which Yi model is best for complex reasoning?

For complex reasoning and high-quality outputs, `yi-large` is recommended. For faster response times and cost efficiency, `yi-medium` or `yi-spark` are excellent alternatives.

Can I automatically retrieve my remaining account balance?

Yes! Use the `get_balance` tool. Your agent will connect to the Lingyi Wanwu billing service and return your current remaining credits.

How do I list all the technical specs for the Yi models?

Use the `list_models` tool. Your agent will retrieve a list of all models currently available on the platform, along with their IDs and capabilities.

Lingyi Wanwu MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: Lingyi Wanwu
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lingyi Wanwu through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Lingyi Wanwu Assistant",
            instructions=(
                "You help users interact with Lingyi Wanwu. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Lingyi Wanwu"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lingyi Wanwu MCP Server

Connect your AI agents to Lingyi Wanwu (01.AI), the high-performance AI lab founded by Dr. Kai-Fu Lee. This MCP provides 10 tools to automate interactions with the Yi series of large language models, including state-of-the-art chat completions, semantic embeddings, and account usage monitoring.

The OpenAI Agents SDK auto-discovers all 5 tools from Lingyi Wanwu through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lingyi Wanwu, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Yi Model Interaction — Trigger chat completions with Yi-34B, Yi-Large, and other optimized models using persistent context
Vector Embeddings — Generate high-dimensional semantic embeddings to power advanced RAG and search workflows
Model Intelligence — List all available models and retrieve granular technical specifications for each version
Account Management — Monitor your token consumption and balance programmatically to optimize costs

The Lingyi Wanwu MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lingyi Wanwu to OpenAI Agents SDK via MCP

Follow these steps to integrate the Lingyi Wanwu MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 5 tools from Lingyi Wanwu

Why Use OpenAI Agents SDK with the Lingyi Wanwu MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lingyi Wanwu through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Lingyi Wanwu + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Lingyi Wanwu MCP Server delivers measurable value.

Automated workflows: build agents that query Lingyi Wanwu, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Lingyi Wanwu, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Lingyi Wanwu tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Lingyi Wanwu to resolve tickets, look up records, and update statuses without human intervention

Lingyi Wanwu MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Lingyi Wanwu to OpenAI Agents SDK via MCP:

chat_completions

Send a message to a Yi model

check_moderation

Check content for policy violations

get_embeddings

Generate text embeddings

get_usage

Retrieve account usage statistics

list_models

List available Yi models

Example Prompts for Lingyi Wanwu in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lingyi Wanwu immediately.

"Chat with the Yi-Large model and ask 'Explain the impact of AI on the future of work'."

"Generate embeddings for my company's mission statement."

"Check my current account balance in Lingyi Wanwu."

Troubleshooting Lingyi Wanwu MCP Server with OpenAI Agents SDK

Common issues when connecting Lingyi Wanwu to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Lingyi Wanwu + OpenAI Agents SDK FAQ

Common questions about integrating Lingyi Wanwu MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.