- Replace ZSH_AUTOSUGGEST_ALLOW_EMPTY_BUFFER with AI_MIN_INPUT
- Add ZSH_AUTOSUGGEST_AI_DEBUG environment variable
- Add debug logging function to diagnose failures
- Update history lines default from 20 to 5
- Update pwd history preference default to no
Min input provides clearer semantics: set to 0 for empty-buffer
suggestions or higher to require minimum input. Debug logging helps
diagnose missing suggestions by showing API request flow.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Add test coverage to ensure AI features are working
correctly and remain functional.
- Add RSpec tests for endpoint construction
- Add RSpec tests for environment context gathering
- Add RSpec tests for dual prompt modes
- Add RSpec tests for temperature configuration
- Add integration test script for manual validation
- Add simple functionality test for CI/verification
Tests verify base URL handling, context collection,
prompt modes, and all new AI strategy features.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Enable AI suggestions on empty prompts with enhanced
environmental context.
- Update AI_MIN_INPUT default from 3 to 0
- Add ALLOW_EMPTY_BUFFER opt-in config variable
- Remove empty-buffer guards in modify, suggest, enable
- Add zle-line-init hook for prompt-time suggestions
- Enhance history gathering with PWD-aware priority
- Add env context for dir listing, git branch, status
- Implement dual prompts: predict vs complete modes
- Add prompt artifact stripping for $ and > prefixes
- Update README with empty buffer configuration
- Add tests for empty buffer and artifact stripping
Empty buffer suggestions require zsh 5.3+ and work best with
AI strategy, leveraging directory context, git state, and
command history to predict likely next actions.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add new AI strategy that queries OpenAI-compatible LLM APIs
to generate intelligent command completions based on partial
input, working directory, and recent shell history.
- Add AI strategy implementation with JSON escaping
- Add context gathering with PWD prioritization
- Add response normalization for clean suggestions
- Add configuration defaults for AI settings
- Add comprehensive test suite with mocked responses
- Update README with setup guide and examples
Enables LLM-powered completions via ZSH_AUTOSUGGEST_AI_API_KEY
with silent failure and fallback to next strategy. Supports
OpenAI, Ollama, and custom endpoints. Requires curl and jq.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
