Release v1.4.295

Changes

PR #1727 by ksylvan: Standardize Anthropic Beta Failure Logging

• Refactor: route Anthropic beta failure logs through internal debug logger
• Replace fmt.Fprintf stderr with debuglog.Debug for beta failures
• Import internal log package and remove os dependency
• Standardize logging level to debuglog.Basic for beta errors
• Preserve fallback stream behavior when beta features fail

Release v1.4.294

Changes

PR #1723 by ksylvan: docs: update README with Venice AI provider and Windows install script

• Add Venice AI provider configuration with API endpoint
• Document Venice AI as privacy-first open-source provider
• Include PowerShell installation script for Windows users
• Add debug levels section to table of contents
• Update recent major features with v1.4.294 release notes

Release v1.4.293

Changes

PR #1718 by ksylvan: Implement Configurable Debug Logging Levels

• Add --debug flag controlling runtime logging verbosity levels
• Introduce internal/log package with Off, Basic, Detailed, Trace
• Replace ad-hoc Debugf and globals with centralized debug logger
• Wire debug level during early CLI argument parsing
• Add bash, zsh, fish completions for --debug levels

Release v1.4.292

Changes

PR #1717 by ksylvan: Highlight default vendor/model in model listing

• Update PrintWithVendor signature to accept default vendor and model
• Mark default vendor/model with asterisk in non-shell output
• Compare vendor and model case-insensitively when marking
• Pass registry defaults to PrintWithVendor from CLI
• Add test ensuring default selection appears with asterisk

Direct commits

• Docs: update version number in README updates section from v1.4.290 to v1.4.291

Release v1.4.291

Changes

PR #1715 by ksylvan: feat: add speech-to-text via OpenAI with transcription flags and comp…

• Add --transcribe-file flag to transcribe audio or video
• Add --transcribe-model flag with model listing and completion
• Add --split-media-file flag to chunk files over 25MB
• Implement OpenAI transcription using Whisper and GPT-4o Transcribe
• Integrate transcription pipeline into CLI before readability processing

Release v1.4.290

Changes

PR #1714 by ksylvan: feat: add per-pattern model mapping support via environment variables

• Add per-pattern model mapping support via environment variables
• Implement environment variable lookup for pattern-specific models
• Support vendor|model format in environment variable specification
• Enable shell startup file configuration for patterns
• Transform pattern names to uppercase environment variable format

Release v1.4.289

Changes

PR #1710 by ksylvan: feat: add --no-variable-replacement flag to disable pattern variable …

• Add --no-variable-replacement flag to disable pattern variable substitution
• Introduce CLI flag to skip pattern variable replacement and wire it into domain request and session builder
• Provide PatternsEntity.GetWithoutVariables for input-only pattern processing support
• Refactor patterns code into reusable load and apply helpers
• Update bash, zsh, fish completions with new flag and document in README and CLI help output

Release v1.4.288

Changes

PR #1709 by ksylvan: Enhanced YouTube Subtitle Language Fallback Handling

• Fix: improve YouTube subtitle language fallback handling in yt-dlp integration
• Fix typo "Gemmini" to "Gemini" in README
• Add "kballard" and "shellquote" to VSCode dictionary
• Add "YTDLP" to VSCode spell checker
• Enhance subtitle language options with fallback variants

Release v1.4.287

Changes

PR #1706 by ksylvan: Gemini Thinking Support and README (New Features) automation

• Add comprehensive "Recent Major Features" section to README
• Introduce new readme_updates Python script for automation
• Enable Gemini thinking configuration with token budgets
• Update CLI help text for Gemini thinking support
• Add comprehensive test coverage for Gemini thinking

Release v1.4.286

Changes

PR #1700 by ksylvan: Introduce Thinking Config Across Anthropic and OpenAI Providers

• Add --thinking CLI flag for configurable reasoning levels across providers
• Implement Anthropic ThinkingConfig with standardized budgets and tokens
• Map OpenAI reasoning effort from thinking levels
• Show thinking level in dry-run formatted options
• Overhaul suggest_pattern docs with categories, workflows, usage examples