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Fixing Vllm 0.10.1 Installation Error: Openai-harmony Issue

Alex Johnson
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Fixing Vllm 0.10.1 Installation Error: Openai-harmony Issue

Introduction

In this comprehensive guide, we will address a common installation issue encountered when trying to install vllm version 0.10.1+gptoss on Hugging Face (HF). Specifically, this error arises due to a dependency conflict with the openai-harmony package. This article will walk you through the problem, explain the root cause, and provide a step-by-step solution to resolve it, ensuring you can successfully install vllm and leverage its powerful capabilities.

Understanding the Installation Error

When attempting to install vllm version 0.10.1+gptoss using the recommended uv pip command, you may encounter the following error:

Using Python 3.12.11 environment at: /juice4/scr4/ahmedah/micromamba/envs/mem
  × No solution found when resolving dependencies:
  ╰─▶ Because openai-harmony==0.1.0 has no wheels with a matching platform tag (e.g., manylinux_2_31_x86_64) and vllm==0.10.1+gptoss depends on openai-harmony==0.1.0, we can conclude
      that vllm==0.10.1+gptoss cannot be used.
      And because you require vllm==0.10.1+gptoss, we can conclude that your requirements are unsatisfiable.

      hint: Wheels are available for openai-harmony (v0.1.0) on the following platform: manylinux_2_34_x86_64

This error message indicates that the openai-harmony package, a dependency of vllm, does not have a compatible wheel (pre-built distribution) for your system's platform. Specifically, it's looking for a wheel with the manylinux_2_31_x86_64 tag, but the available wheel is manylinux_2_34_x86_64. This discrepancy prevents pip from resolving the dependencies and completing the installation.

Why Does This Happen?

This issue typically arises when there is a mismatch between the expected platform compatibility of the openai-harmony package and the environment in which you are trying to install vllm. The openai-harmony package might have been built for a newer Linux distribution (e.g., one that complies with manylinux_2_34) while your system is using an older one (manylinux_2_31).

What is vllm?

vllm is a fast and easy-to-use library for LLM inference. It is designed to be highly efficient and scalable, making it suitable for both research and production environments. vllm supports a wide range of models and hardware platforms, making it a versatile tool for anyone working with large language models.

What is openai-harmony?

openai-harmony is a library that provides tools and utilities for working with OpenAI's models and APIs. It includes features for authentication, data handling, and more. While it is a dependency for vllm, the specific version required (0.1.0) may not always be readily available or compatible with all environments, leading to the installation issues discussed in this article.

Step-by-Step Solution

To resolve this installation error, follow these steps:

Step 1: Update pip and setuptools

Before attempting any installation, ensure that your pip and setuptools packages are up to date. This can help avoid compatibility issues during dependency resolution.

pip install --upgrade pip setuptools

Step 2: Try Installing with pip (Without uv)

Sometimes, using the standard pip installer can resolve dependency issues automatically. Try installing vllm using pip with the --no-cache-dir option to avoid using cached packages that might be causing conflicts.

pip install --no-cache-dir --pre vllm==0.10.1+gptoss --extra-index-url https://wheels.vllm.ai/gpt-oss/ --extra-index-url https://download.pytorch.org/whl/nightly/cu128 --index-strategy unsafe-best-match

Step 3: Addressing openai-harmony Compatibility

If the above steps do not work, the issue likely stems from the specific version of openai-harmony required by vllm. Since version 0.1.0 might not be available, you can try a few approaches:

Option A: Check for Newer Versions

Verify if there are newer, compatible versions of openai-harmony. Sometimes, upgrading to a more recent version can resolve compatibility issues.

pip install --upgrade openai-harmony

Option B: Install a Compatible Version (If Available)

If you know of a compatible version of openai-harmony, you can install it directly before attempting to install vllm.

pip install openai-harmony==<compatible_version>

Replace <compatible_version> with the version number you want to try. For example:

pip install openai-harmony==0.0.2

Option C: Modify vllm's Dependencies (Advanced)

Note: This option should be approached with caution, as it involves modifying the internal dependencies of vllm. It's recommended only if you are comfortable with Python package management and understand the risks involved.

  1. Download the vllm source code:

    pip download vllm==0.10.1+gptoss --no-deps
tar -xzf vllm-0.10.1+gptoss.tar.gz
cd vllm-0.10.1+gptoss

  2. Modify the setup.py or pyproject.toml file:

    Locate the file that specifies the dependencies for vllm. This is usually setup.py or pyproject.toml. Open the file and find the line that specifies the openai-harmony dependency. Change the version requirement to a version that is available and compatible with your system.

    For example, if the original line is:

    install_requires=[
    'openai-harmony==0.1.0',
    # other dependencies
]

    Change it to:

    install_requires=[
    'openai-harmony==0.0.2',
    # other dependencies
]

  3. Install vllm from the modified source:

    pip install .

Step 4: Using a Virtual Environment

It's always a good practice to use a virtual environment when working with Python projects. This helps isolate dependencies and avoid conflicts with other projects on your system. You can create a virtual environment using venv or conda.

Using venv:

python3 -m venv venv
source venv/bin/activate  # On Linux/macOS
venv\Scripts\activate  # On Windows

Using conda:

conda create -n myenv python=3.12
conda activate myenv

Step 5: Verify Installation

After following the steps above, verify that vllm is installed correctly by importing it in a Python script:

import vllm

print("vllm installed successfully!")

If the script runs without errors, vllm has been successfully installed.

Alternative Installation Methods

Docker Installation

An alternative and often more reliable method is to use Docker. Docker containers provide a consistent environment, eliminating many dependency-related issues.

  1. Pull the vllm Docker image:

docker pull vllm/vllm:latest


2.  **Run the Docker container:**

    ```bash
docker run --gpus all -p 8000:8000 vllm/vllm:latest

Refer to the official vllm documentation for more detailed instructions on using Docker.

Conda Installation

Using Conda can simplify the installation process by managing dependencies effectively.

conda create -n vllm python=3.10 # or any other version of python
conda activate vllm
conda install -c conda-forge vllm

Conclusion

Installing vllm can sometimes be challenging due to dependency conflicts, particularly with the openai-harmony package. By following the steps outlined in this guide, you should be able to resolve the installation error and successfully set up vllm in your environment. Remember to keep your pip and setuptools packages up to date, use virtual environments, and consider alternative installation methods like Docker or Conda for a smoother experience. Always refer to the official vllm documentation for the most up-to-date instructions and troubleshooting tips.

For more information on Python packaging and dependency management, consider checking out the Python Packaging User Guide. This resource provides in-depth information on best practices for managing Python packages and dependencies.

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