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How to use Qwen2.5 Coder for code generation

Q: How to use Qwen2.5 Coder for code generation

Use the OpenAI SDK with model="qwen-2.5-coder" to generate code by sending a chat completion request with your prompt. The response's choices[0].message.content contains the generated code snippet.

Quick answer

Use the OpenAI SDK with model="qwen-2.5-coder" to generate code by sending a chat completion request with your prompt. The response's choices[0].message.content contains the generated code snippet.

PREREQUISITES

Python 3.8+
OpenAI API key (free tier works)
pip install openai>=1.0

Setup

Install the official openai Python package version 1.0 or higher and set your OpenAI API key as an environment variable.

Install the SDK: pip install openai>=1.0
Set your API key in your shell: export OPENAI_API_KEY='your_api_key_here'

bash

pip install openai>=1.0

Step by step

Use the OpenAI client to call the chat.completions.create method with model="qwen-2.5-coder" and a user prompt describing the code you want generated. The response contains the generated code in choices[0].message.content.

python

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

response = client.chat.completions.create(
    model="qwen-2.5-coder",
    messages=[
        {"role": "user", "content": "Write a Python function to reverse a string."}
    ]
)

generated_code = response.choices[0].message.content
print("Generated code:\n", generated_code)

output

Generated code:

def reverse_string(s: str) -> str:
    return s[::-1]

Common variations

You can customize the code generation by adjusting parameters like max_tokens to control output length or use streaming for real-time output. Also, you can switch to other compatible models if available.

python

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

# Streaming example
response = client.chat.completions.create(
    model="qwen-2.5-coder",
    messages=[{"role": "user", "content": "Generate a Python class for a bank account."}],
    max_tokens=256,
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.get('content', ''), end='')

output

class BankAccount:
    def __init__(self, owner, balance=0):
        self.owner = owner
        self.balance = balance

    def deposit(self, amount):
        self.balance += amount

    def withdraw(self, amount):
        if amount <= self.balance:
            self.balance -= amount
        else:
            print("Insufficient funds")

Troubleshooting

If you get authentication errors, verify your OPENAI_API_KEY environment variable is set correctly.
If the model is not found, confirm that qwen-2.5-coder is available in your API plan or check for updated model names.
For incomplete code outputs, increase max_tokens or use streaming.

✅

Key Takeaways

Use the OpenAI SDK with model="qwen-2.5-coder" for code generation tasks.
Set your API key securely via environment variables and install the latest openai package.
Customize generation with parameters like max_tokens and enable streaming for large outputs.
Check model availability and API key validity if you encounter errors.

Verified 2026-04 · qwen-2.5-coder

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