Introduction

On January 26, 2025, we released clip4llm v0.0.5, a maintenance update that ensures proper Go module resolution by correcting the module name casing to match our GitHub organization. This release maintains full backward compatibility while improving the project’s configuration hygiene for developers who use clip4llm as a Go module dependency.

What’s New

Module Name Casing Correction

The primary change in v0.0.5 addresses a case-sensitive module path issue in go.mod. The module declaration has been updated from:

  • Before: module github.com/unitvectory-labs/clip4llm
  • After: module github.com/UnitVectorY-Labs/clip4llm

This change ensures consistency with Go’s case-sensitive module path resolution and matches the actual GitHub organization naming convention. Developers importing clip4llm as a dependency will now experience reliable module resolution without case-mismatch issues.

Why It Matters

While this update may appear minimal, proper module naming is critical for Go projects:

  • Reliable Dependency Management: Case-sensitive import paths can cause subtle build failures in Go modules
  • Consistency: Aligns the codebase with GitHub’s organization structure
  • Developer Experience: Prevents confusion and potential integration issues for teams using clip4llm as a library

For end users running the clip4llm binary, this release requires no action—the CLI interface remains unchanged. The fix is primarily valuable for developers incorporating clip4llm into larger Go projects.

Upgrading

Upgrading to v0.0.5 is straightforward and safe:

Binary Users

Download the pre-built binaries for your platform from the v0.0.5 release page:

  • Linux (amd64, arm64, 386)
  • macOS/Darwin (amd64, arm64)
  • Windows (amd64, 386)

Go Install Users

go install github.com/UnitVectorY-Labs/clip4llm@v0.0.5

Module Dependency Users

If you’re using clip4llm as a module dependency, update your go.mod:

go get github.com/UnitVectorY-Labs/clip4llm@v0.0.5

No configuration changes are required—your existing .clip4llm settings continue to work as before.

Looking Ahead

This maintenance release keeps the project foundation solid as we continue developing user-facing features. Stay tuned for upcoming releases that will expand clip4llm’s capabilities for LLM workflows.

Transparency Note: This post was AI-generated using the unsloth/Qwen3.5-122B-A10B-GGUF:Q4_K_M model. It was generated on behalf of release-storyteller based on the v0.0.5 release data from the clip4llm repository.