inkwell-cli 0.10.3

Transform podcast episodes into structured markdown notes

Inkwell CLI

Transform podcast episodes into structured, searchable markdown notes for Obsidian.

Inkwell downloads audio from RSS feeds (including private/paid feeds), transcribes content, extracts key information through LLM processing, and optionally conducts an interactive interview to capture personal insights.

Vision: Transform passive podcast listening into active knowledge building by capturing both what was said and what you thought about it.

Status

🎉 v1.0.0 - Production Ready!

All core features implemented and thoroughly tested:

• ✅ Podcast feed management (add, list, remove)
• ✅ Multi-tier transcription (YouTube → Gemini)
• ✅ LLM-based content extraction with templates
• ✅ Interactive interview mode with Claude
• ✅ Obsidian integration (wikilinks, tags, Dataview)
• ✅ Cost tracking and optimization
• ✅ Error handling with retry logic
• ✅ Comprehensive E2E testing
• ✅ Complete user documentation

Quick Start

Installation

# Clone repository
git clone https://github.com/your-username/inkwell-cli.git
cd inkwell-cli

# Install dependencies using uv
uv sync --dev

API Keys

# Set your API keys
export GOOGLE_API_KEY="your-gemini-api-key"
export ANTHROPIC_API_KEY="your-claude-api-key"  # Optional, for interview mode

Process Your First Episode

# Add a podcast feed
uv run inkwell add "https://feed.syntax.fm/rss" --name syntax

# Process the latest episode
uv run inkwell fetch syntax --latest

# Output:
# Processing: Modern CSS Features (Episode 789)
# Transcription: YouTube API (free) ✓
# Extraction:    Gemini Flash      ✓
# Templates:     4
# Cost:          $0.0055
# Output:        ./output/syntax-2025-11-13-modern-css-features/
# ✓ Complete!

That's it! You now have a structured markdown directory ready for Obsidian.

Features

🎙️ Smart Transcription

Multi-tier transcription that optimizes for cost and quality:

1. Cache (Free): Check local cache first (30-day TTL)
2. YouTube (Free): Extract existing transcripts from YouTube videos
3. Gemini (Paid): Download audio and transcribe as fallback (~$0.115/episode)

Result: Most episodes cost $0.005-0.012 (YouTube + extraction)

🤖 LLM Content Extraction

Template-based extraction pulls structured information from transcripts:

• Summary: Episode overview with key topics
• Quotes: Memorable quotes with context
• Key Concepts: Main ideas and takeaways
• Context-specific: Tools mentioned, books referenced, people discussed, etc.

Obsidian Features:

• Wikilinks: Auto-generated [[links]] for entities (books, people, concepts)
• Tags: Smart tag generation using LLM (e.g., #productivity, #ai, #health)
• Dataview: Rich frontmatter for Obsidian Dataview queries

💬 Interactive Interview Mode

Capture your thoughts while the episode is fresh:

uv run inkwell fetch syntax --latest --interview

Claude will ask you questions like:

• "What stood out most to you?"
• "How might you apply these ideas?"
• "What questions do you still have?"

Your responses are saved in my-notes.md within the episode directory.

💰 Cost Tracking

Know exactly what you're spending:

# View overall spending
uv run inkwell costs

# View recent operations
uv run inkwell costs --recent 10

# Filter by provider
uv run inkwell costs --provider gemini --days 30

# See today's costs
uv run inkwell costs --days 1

Typical Costs:

• YouTube + Gemini extraction: $0.005-0.012
• Gemini transcription + extraction: $0.115-0.175
• Recommendation: Use YouTube when available (saves 95%)

📚 Obsidian Integration

Every episode output includes:

Frontmatter (Dataview-compatible):

---
podcast: Syntax FM
episode: Modern CSS Features
episode_date: 2025-11-13
duration_minutes: 42
rating: null
topics: [css, web-development, frontend]
people: [Wes Bos, Scott Tolinski]
tools: [CSS Grid, Flexbox, Container Queries]
books: []
tags: [podcast, technical, web-development]
---

Wikilinks: Automatic [[Entity]] links for discoverability

Tags: Smart contextual tags (#css, #web-development, etc.)

Dataview Queries: See docs/dataview-queries.md for 27 example queries

🔄 Robust Error Handling

Automatic retry with exponential backoff:

• API failures: 3 attempts with backoff
• Rate limits: Intelligent retry timing
• Network errors: Automatic recovery
• Transient failures: Handled gracefully

Graceful degradation: If YouTube fails, falls back to Gemini

🧪 Comprehensive Testing

• Unit Tests: 180+ tests covering all components
• Integration Tests: 30+ tests for end-to-end workflows
• E2E Tests: 7 tests validating complete pipeline
• Total: 200+ tests with extensive coverage

E2E Test Coverage:

• 5 diverse content types (technical, interview, discussion, educational, storytelling)
• Duration range: 15-90 minutes
• Quality validation: Files, frontmatter, wikilinks, tags
• Cost benchmarking: Expected vs actual costs

Documentation

For Users

• Tutorial: 10-minute walkthrough for beginners
• User Guide: Complete reference documentation
• Examples & Workflows: Common use cases and automation
• Dataview Queries: 27 example Obsidian queries

For Developers

• Developer Knowledge System: Complete DKS overview
• Architecture Decision Records: Design decisions and rationale
• Development Logs: Implementation journals
• Lessons Learned: Retrospectives and insights
• Research Docs: Technology research notes

Basic Usage

Feed Management

# Add a podcast
uv run inkwell add "https://feed.syntax.fm/rss" --name syntax

# Add with authentication
uv run inkwell add "https://private.com/feed.rss" --name premium --auth

# List your podcasts
uv run inkwell list

# Remove a podcast
uv run inkwell remove syntax

Processing Episodes

# Process latest episode
uv run inkwell fetch syntax --latest

# Process specific episode number
uv run inkwell fetch syntax --episode 789

# Process multiple episodes
uv run inkwell fetch syntax --count 5

# Process with interview mode
uv run inkwell fetch syntax --latest --interview

# Overwrite existing output
uv run inkwell fetch syntax --latest --overwrite

# Use specific provider
uv run inkwell fetch syntax --latest --provider claude

Cost Management

# View all costs
uv run inkwell costs

# View last 10 operations
uv run inkwell costs --recent 10

# View by date range
uv run inkwell costs --days 7

# Filter by provider
uv run inkwell costs --provider gemini

# Filter by operation
uv run inkwell costs --operation transcription

# Clear cost history
uv run inkwell costs --clear

Cache Management

# View cache stats
uv run inkwell cache stats

# Clear all cache
uv run inkwell cache clear

# Clear expired only
uv run inkwell cache clear-expired

Output Structure

Each processed episode creates a directory:

output/
└── podcast-name-YYYY-MM-DD-episode-title/
    ├── .metadata.yaml        # Episode metadata and cost tracking
    ├── summary.md           # Episode summary with frontmatter
    ├── quotes.md            # Memorable quotes with context
    ├── key-concepts.md      # Main ideas and concepts
    ├── tools-mentioned.md   # Tools, software, frameworks
    ├── books-mentioned.md   # Books and resources
    ├── people-mentioned.md  # People discussed
    └── my-notes.md          # Your interview responses (if --interview)

Frontmatter (all .md files):

---
podcast: Syntax FM
episode: Modern CSS Features
episode_date: 2025-11-13
duration_minutes: 42
topics: [css, web-development]
people: [Wes Bos, Scott Tolinski]
tags: [podcast, technical, web-development]
---

Wikilinks embedded in content:

• Books: [[Atomic Habits]]
• People: [[James Clear]]
• Concepts: [[Habit Stacking]]

Requirements

• Python: 3.10 or higher
• ffmpeg: Required for audio processing
• API Keys:
  • Google AI (Gemini) API key (required)
  • Anthropic (Claude) API key (optional, for interview mode)

Configuration

Inkwell uses XDG Base Directory specifications:

• Config: ~/.config/inkwell/config.yaml
• Feeds: ~/.config/inkwell/feeds.yaml
• Costs: ~/.config/inkwell/costs.json
• Cache: ~/.cache/inkwell/transcripts/
• Logs: ~/.local/state/inkwell/inkwell.log

Configuration Options

Edit ~/.config/inkwell/config.yaml:

version: "1"
log_level: INFO
default_output_dir: ./output
default_provider: gemini  # or "claude"
youtube_check: true
max_episodes_per_run: 10

# Optional API keys (or use environment variables)
gemini_api_key: ""
anthropic_api_key: ""

# Templates to enable
templates_enabled:
  - summary
  - quotes
  - key-concepts
  - tools-mentioned
  - books-mentioned
  - people-mentioned

# Obsidian features
wikilinks_enabled: true
tags_enabled: true
dataview_frontmatter: true

Editing Configuration

You can edit the configuration file directly using inkwell config edit:

# Edit config file in your default editor
uv run inkwell config edit

Supported Editors: atom, code, ed, emacs, gedit, helix, kate, micro, nano, notepad, notepad++, nvim, subl, vi, vim

Set your preferred editor with the EDITOR environment variable:

export EDITOR=vim
uv run inkwell config edit

For security reasons, only whitelisted editors are supported. If you need to use a different editor, you can edit the config file manually:

# View config location
uv run inkwell config show

# Edit manually
nano ~/.config/inkwell/config.yaml

Architecture

High-Level Pipeline

RSS Feed → Parse Episodes → Check YouTube → Download Audio
       → Transcribe (YouTube or Gemini)
       → Extract Content (Template-based LLM)
       → Generate Wikilinks & Tags
       → [Optional] Interactive Interview
       → Generate Markdown Files
       → Save to Output Directory

Key Components

1. Feed Management (src/inkwell/feeds/)

   • RSS/Atom parsing with authentication
   • Secure credential encryption

2. Transcription (src/inkwell/transcription/)

   • YouTube transcript extraction (free)
   • Gemini API fallback (paid)
   • 30-day cache with TTL

3. Extraction (src/inkwell/extraction/)

   • Template-based LLM prompts
   • Multi-provider support (Gemini, Claude)
   • Context-aware extraction

4. Obsidian Integration (src/inkwell/obsidian/)

   • Wikilink generation from entities
   • Smart tag generation with LLM
   • Dataview-compatible frontmatter

5. Interview Mode (src/inkwell/interview/)

   • Claude Agent SDK integration
   • Interactive Q&A with streaming
   • Personal insights capture

6. Cost Tracking (src/inkwell/utils/costs.py)

   • Per-operation cost calculation
   • JSON-based persistence
   • Filtering and aggregation

7. Error Handling (src/inkwell/utils/retry.py)

   • Exponential backoff with jitter
   • Automatic retry for transient failures
   • Graceful degradation

Project Structure

inkwell-cli/
├── src/inkwell/              # Main package
│   ├── cli.py               # CLI entry point
│   ├── config/              # Configuration management
│   ├── feeds/               # RSS parsing
│   ├── transcription/       # Transcription system
│   ├── audio/               # Audio download
│   ├── extraction/          # LLM extraction (Phase 3)
│   ├── obsidian/            # Obsidian integration (Phase 5)
│   ├── interview/           # Interview mode (Phase 4)
│   └── utils/               # Utilities (costs, retry, etc.)
├── tests/                   # Test suite (200+ tests)
│   ├── unit/               # Unit tests
│   ├── integration/        # Integration tests
│   └── e2e/                # End-to-end tests
├── docs/                    # Documentation (DKS)
│   ├── adr/                # Architecture decisions
│   ├── devlog/             # Development logs
│   ├── lessons/            # Lessons learned
│   ├── research/           # Research notes
│   ├── experiments/        # Benchmarks
│   ├── user-guide.md       # Complete user reference
│   ├── tutorial.md         # 10-minute tutorial
│   ├── examples.md         # Workflows and examples
│   └── dataview-queries.md # Obsidian Dataview examples
└── templates/               # LLM extraction templates
    ├── summary.md
    ├── quotes.md
    ├── key-concepts.md
    └── ...

Development

Setup Development Environment

# Install development dependencies
uv sync --dev

# Install pre-commit hooks
uv run pre-commit install

# Run tests
uv run pytest

# Run with coverage
uv run pytest --cov=inkwell --cov-report=html

# Run linting
uv run ruff check .

# Format code
uv run ruff format .

# Type checking
uv run mypy src/

Running Tests

# Run all tests
uv run pytest

# Run specific test types
uv run pytest tests/unit/           # Unit tests
uv run pytest tests/integration/    # Integration tests
uv run pytest tests/e2e/            # E2E tests

# Run with verbose output
uv run pytest -v

# Run specific test file
uv run pytest tests/unit/test_costs.py -v

Code Quality Standards

This project maintains high code quality:

• Type hints: Full coverage with mypy validation
• Linting: Ruff for code style
• Testing: 200+ tests with extensive coverage
• Documentation: Comprehensive DKS documentation
• Error handling: Robust retry logic
• Performance: Benchmarked and optimized

Roadmap

✅ Phase 1: Foundation (Complete)

• ✅ Project scaffolding and build system
• ✅ Configuration management with encryption
• ✅ RSS feed parsing and validation
• ✅ CLI with rich terminal output
• ✅ Comprehensive test suite

✅ Phase 2: Transcription (Complete)

• ✅ YouTube transcript API integration
• ✅ Google Gemini fallback transcription
• ✅ Audio download with yt-dlp
• ✅ Transcript caching with TTL
• ✅ Multi-tier orchestration with cost optimization

✅ Phase 3: LLM Extraction (Complete)

• ✅ Template-based LLM prompts
• ✅ Content extraction (quotes, concepts, etc.)
• ✅ Markdown generation
• ✅ Metadata management
• ✅ Multi-provider support (Gemini, Claude)

✅ Phase 4: Interactive Interview (Complete)

• ✅ Claude Agent SDK integration
• ✅ Interactive Q&A mode with streaming
• ✅ Personal insights capture
• ✅ Interview transcript storage

✅ Phase 5: Obsidian Integration (Complete)

• ✅ Wikilink generation from entities
• ✅ Smart tag generation with LLM
• ✅ Dataview-compatible frontmatter
• ✅ Cost tracking system
• ✅ Error handling with retry logic
• ✅ E2E test framework
• ✅ Complete user documentation

🔮 Future Enhancements

• Custom templates and prompts
• Batch processing automation
• Export formats (PDF, HTML)
• Web dashboard for management
• Mobile app integration
• Community template marketplace

Contributing

We welcome contributions! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes with tests
4. Run tests and linting (uv run pytest && uv run ruff check .)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to the branch (git push origin feature/amazing-feature)
7. Open a Pull Request

See CLAUDE.md for development guidelines.

License

MIT License - See LICENSE file for details.

Acknowledgments

Core Libraries:

• typer: CLI framework
• rich: Terminal formatting
• pydantic: Data validation
• feedparser: RSS/Atom parsing
• yt-dlp: Audio download
• google-generativeai: Gemini API
• anthropic: Claude API
• claude-agent-sdk: Interactive interview mode

Special Thanks:

• The Obsidian community for inspiration
• Claude (Anthropic) for development assistance
• All podcast creators who make great content

Support

• Issues: GitHub Issues
• Documentation: See docs/ directory
• Tutorial: docs/tutorial.md
• User Guide: docs/user-guide.md
• Examples: docs/examples.md

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