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kash v2.2.1
What's Changed
Fixed
- Chat answers ignored the corpus behind a Gemini gateway.
/v1/chat/completionssent the agent prompt and the retrieved context as two
separate system messages, and Gemini behind an OpenAI-compatible gateway
keeps only the first. The context was dropped without an error, so answers
came from the model's own priors even when retrieval had found the right
passage: asked what the Trishul represents, an agent built from a book that
answers it in one sentence returned generic lore and no citation. The prompt
and the context now travel in a single system message. No rebuild needed.
Installation
Linux (amd64)
curl -L https://github.com/akashicode/kash/releases/download/v2.2.1/kash_linux_amd64.tar.gz | tar -xz
sudo mv kash /usr/local/bin/Linux (arm64)
curl -L https://github.com/akashicode/kash/releases/download/v2.2.1/kash_linux_arm64.tar.gz | tar -xz
sudo mv kash /usr/local/bin/macOS (Apple Silicon)
curl -L https://github.com/akashicode/kash/releases/download/v2.2.1/kash_darwin_arm64.tar.gz | tar -xz
sudo mv kash /usr/local/bin/macOS (Intel)
curl -L https://github.com/akashicode/kash/releases/download/v2.2.1/kash_darwin_amd64.tar.gz | tar -xz
sudo mv kash /usr/local/bin/Windows (amd64)
Download kash_windows_amd64.zip, extract, and add kash.exe to a directory on your PATH.
For full usage instructions, configuration options, and examples, see the README.