Introducing clip4llm v1.2.0

Today we’re releasing clip4llm v1.2.0, a maintenance release that improves the reliability of version reporting and continues our commitment to keeping the build system up to date. Published on February 9, 2026, this release ensures users can trust the version information returned by the tool.

What’s New

This is a focused maintenance release with one key improvement:

Reliable Version Reporting

The --version flag now consistently reports the correct semantic version (e.g., “v1.2.0”) instead of “dev”, even when building from source without explicit version injection. This enhancement uses Go’s build info detection to fall back on runtime metadata when needed.

For users who verify versions programmatically or need reliable version output for scripting, this fix ensures clip4llm behaves predictably across all installation methods.

Under the Hood

  • Updated build dependencies (GitHub Actions workflows)
  • CI/CD refinements for more robust builds
  • Pre-built binaries now available for 6 platforms: macOS (amd64/arm64), Linux (amd64/arm64/386), and Windows (amd64/386)

Why It Matters

While this release doesn’t introduce new features, it strengthens the foundation of clip4llm. Reliable version reporting is essential for:

  • Troubleshooting: Support requests can quickly identify exact versions
  • Automation: Scripts that check versions work consistently
  • Transparency: Users always know exactly what they’re running

If you haven’t explored v1.1.0 yet, remember that scoped configuration support allows .clip4llm files in subdirectories for per-directory customization—a powerful feature for projects with varied file structures.

Get Started

Upgrading to v1.2.0 is straightforward with no breaking changes:

Via Go install:

go install github.com/UnitVectorY-Labs/clip4llm@v1.2.0

Download binaries: Visit the GitHub Release for pre-built binaries for your platform.

Build from source:

git clone https://github.com/UnitVectorY-Labs/clip4llm.git
cd clip4llm
git checkout v1.2.0
go install .

This post was AI-generated using the unsloth/Qwen3.5-122B-A10B-GGUF:Q4_K_M model. Reference: UnitVectorY-Labs/clip4llm, release v1.2.0, published February 9, 2026. Author: release-storyteller