Which version of Ernie Bot should I use for chat?

For high performance and reasoning, use `ernie-4.0-8k`. For faster response times and cost efficiency, `ernie-speed-128k` or `ernie-lite-8k` are excellent choices.

Can I automatically generate embeddings for RAG?

Yes! Use the `get_embeddings` tool with your text input. The agent will retrieve the vector representations from Baidu's embedding models, ready for indexing in your vector database.

How do I use prompt templates from the console?

Use the `list_prompt_templates` tool to find your configured templates. You can then retrieve specific details using `get_prompt_template` to maintain consistency across your AI workflows.

Baidu Qianfan MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: Baidu Qianfan
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Baidu Qianfan 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="Baidu Qianfan Assistant",
            instructions=(
                "You help users interact with Baidu Qianfan. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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About Baidu Qianfan MCP Server

Connect your AI agents to Baidu Qianfan (百度千帆), the enterprise-grade LLM platform. This MCP provides 10 tools to automate interactions with Ernie Bot and other foundation models, including chat completions, vector embeddings, and prompt engineering.

The OpenAI Agents SDK auto-discovers all 6 tools from Baidu Qianfan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Baidu Qianfan, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Model Interaction — Trigger chat completions with Ernie Bot (Turbo/Speed/4.0) using persistent context
Vector Embeddings — Generate semantic embeddings for text to power RAG and search workflows
Prompt Engineering — Manage and retrieve centralized prompt templates for consistent model outputs
Image Generation — Trigger Text-to-Image tasks using Baidu's advanced diffusion models
Usage Monitoring — Track token consumption and manage model service status programmatically

The Baidu Qianfan MCP Server exposes 6 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 Baidu Qianfan to OpenAI Agents SDK via MCP

Follow these steps to integrate the Baidu Qianfan 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 6 tools from Baidu Qianfan

Why Use OpenAI Agents SDK with the Baidu Qianfan MCP Server

OpenAI Agents SDK provides unique advantages when paired with Baidu Qianfan 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

Baidu Qianfan + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Baidu Qianfan MCP Server delivers measurable value.

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

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

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

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

Baidu Qianfan MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Baidu Qianfan to OpenAI Agents SDK via MCP:

chat_completions

Requires model endpoint name. Send a message to a Baidu Qianfan model

get_embeddings

Generate vector embeddings for text

list_datasets

List uploaded datasets

list_models

List available model services

list_train_jobs

List model training jobs

text_to_image

Generate an image from a text prompt

Example Prompts for Baidu Qianfan in OpenAI Agents SDK

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

"Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'."

"Generate embeddings for the text 'The quick brown fox jumps over the lazy dog'."

"List all my prompt templates in Qianfan."

Troubleshooting Baidu Qianfan MCP Server with OpenAI Agents SDK

Common issues when connecting Baidu Qianfan 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.

Baidu Qianfan + OpenAI Agents SDK FAQ

Common questions about integrating Baidu Qianfan 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.