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ERROR: Could not find a version that satisfies the requirement How to fix it.

pip found no version of a package that fits your requirements.txt. Often the package has no build for the Python version in use.

How the Agent API works
What you see
ERROR: Could not find a version that satisfies the requirement torch==2.0.0
(from versions: none)
ERROR: No matching distribution found for torch==2.0.0
  • What it meansNo matching version
  • Fix onePin Python to 3.12
  • Fix twoLoosen the version pin
  • Fix threeCheck the package name

What it means

requirements.txt asks for a package at a version, and pip found nothing that fits. The build says the same in one sentence: no version of the package matches what requirements.txt asks for. This often means the package does not publish a build for the Python version in use.

How to fix it

  1. Try a different Python version

    Some packages, such as tensorflow, torch, numpy and pandas, publish builds some months after a new Python release. Pin an older Python in a .python-version file, for example 3.12, and deploy again.

  2. Loosen the version

    Replace an exact pin such as torch==2.0.0 with a range, or remove the pin, so pip can choose a version that has a build.

  3. Check the name

    A typo in the package name gives the same error. Check the spelling against the package's page on PyPI.

.python-version
3.12

Why it happens

  • An old pin. A version from an old tutorial that has since been removed, or never had a build for your Python.
  • A new Python. A package that has not published builds for it yet.
  • A package that only exists locally. A private or renamed package that pip cannot find.

01Questions

Version questions, answered.

Anything else? Write to us and a person answers.

support@antideploy.com
Which Python does Antideploy use if I pin nothing?

The builder chooses a default. Pin one in .python-version, runtime.txt or pyproject.toml if your packages need a specific version.

Does this failed deploy cost anything?

No. Failed deploys never count against your plan.

How do I see which versions exist?

Open the package's page on PyPI, or run pip index versions with the package name. Pick a version from the list that supports your Python.

+Keep reading

More guides, and the platform.

Each platform page covers one part of Antideploy: what it does, where it stops and the questions people ask. See the whole platform, or all the guides.

Facts on this page were checked against the live platform on 7 October 2026.

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