update default config template with providers and llm sections

internal/config/config.go

@@ -623,8 +623,37 @@ func SaveDefaultConfig() error {
 	configContent := `# Hyprvoice Configuration
 # This file is automatically generated with defaults.
 # Edit values as needed - changes are applied immediately without daemon restart.
+#
+# MIGRATION NOTE: If upgrading from an older version, your transcription.api_key
+# will be automatically migrated to the new [providers.X] format. Run 'hyprvoice configure'
+# to update your config file structure.
+
+# Keywords help both transcription and LLM understand domain-specific terms
+# Add names, technical terms, or brand names that might be misheard
+keywords = []
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Provider API Keys
+# Configure API keys for each provider you want to use.
+# Keys can also be set via environment variables: OPENAI_API_KEY, GROQ_API_KEY, etc.
+# ─────────────────────────────────────────────────────────────────────────────
+
+[providers.openai]
+  api_key = ""                 # OpenAI API key (or set OPENAI_API_KEY env var)
+
+[providers.groq]
+  api_key = ""                 # Groq API key (or set GROQ_API_KEY env var)
+
+# Uncomment to configure additional providers:
+# [providers.mistral]
+#   api_key = ""               # Mistral API key (or set MISTRAL_API_KEY env var)
+# [providers.elevenlabs]
+#   api_key = ""               # ElevenLabs API key (or set ELEVENLABS_API_KEY env var)
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Audio Recording
+# ─────────────────────────────────────────────────────────────────────────────
 
-# Audio Recording Configuration
 [recording]
   sample_rate = 16000          # Audio sample rate in Hz (16000 recommended for speech)
   channels = 1                 # Number of audio channels (1 = mono, 2 = stereo)
@@ -634,24 +663,54 @@ func SaveDefaultConfig() error {
   channel_buffer_size = 30     # Audio frame buffer size (frames to buffer)
   timeout = "5m"               # Maximum recording duration (e.g., "30s", "2m", "5m")
 
-# Speech Transcription Configuration
+# ─────────────────────────────────────────────────────────────────────────────
+# Speech Transcription
+# Converts audio to text using speech-to-text APIs
+# ─────────────────────────────────────────────────────────────────────────────
+
 [transcription]
-  provider = "openai"          # Transcription service: "openai", "groq-transcription", "groq-translation", "mistral-transcription", or "elevenlabs"
+  provider = "openai"          # "openai", "groq-transcription", "groq-translation", "mistral-transcription", "elevenlabs"
-  api_key = ""                 # API key (or set OPENAI_API_KEY/GROQ_API_KEY/MISTRAL_API_KEY/ELEVENLABS_API_KEY environment variable)
+  language = ""                # Language code (empty = auto-detect, "en", "it", "es", "fr", etc.)
-  language = ""                # Language code (empty for auto-detect, "en", "it", "es", "fr", etc.)
   model = "whisper-1"          # Model: OpenAI="whisper-1", Groq="whisper-large-v3", Mistral="voxtral-mini-latest", ElevenLabs="scribe_v1"
 
-# Text Injection Configuration
+# ─────────────────────────────────────────────────────────────────────────────
+# LLM Post-Processing (Recommended)
+# Cleans up transcribed text: removes stutters, adds punctuation, fixes grammar
+# ─────────────────────────────────────────────────────────────────────────────
+
+[llm]
+  enabled = true               # Enable LLM post-processing (highly recommended)
+  provider = "openai"          # "openai" or "groq" (must have API key configured above)
+  model = "gpt-4o-mini"        # OpenAI: "gpt-4o-mini", Groq: "llama-3.3-70b-versatile"
+
+[llm.post_processing]
+  remove_stutters = true       # Remove "um", "uh", repeated words
+  add_punctuation = true       # Add proper punctuation
+  fix_grammar = true           # Fix grammatical errors
+  remove_filler_words = true   # Remove "like", "you know", "basically"
+
+[llm.custom_prompt]
+  enabled = false              # Enable custom instructions for LLM
+  prompt = ""                  # Additional instructions (e.g., "Format as bullet points")
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Text Injection
+# How transcribed text is inserted into applications
+# ─────────────────────────────────────────────────────────────────────────────
+
 [injection]
   backends = ["ydotool", "wtype", "clipboard"]  # Ordered fallback chain (tries each until one succeeds)
   ydotool_timeout = "5s"       # Timeout for ydotool commands
   wtype_timeout = "5s"         # Timeout for wtype commands
   clipboard_timeout = "3s"     # Timeout for clipboard operations
 
-# Desktop Notification Configuration
+# ─────────────────────────────────────────────────────────────────────────────
+# Desktop Notifications
+# ─────────────────────────────────────────────────────────────────────────────
+
 [notifications]
   enabled = true               # Enable desktop notifications
-  type = "desktop"             # Notification type ("desktop", "log", "none")
+  type = "desktop"             # "desktop", "log", or "none"
 
   # Custom notification messages (optional - defaults shown below)
   # Uncomment and modify to customize notification text
@@ -676,39 +735,29 @@ func SaveDefaultConfig() error {
   # Emoji-only example (for minimal pill-style notifications):
   #   [notifications.messages.recording_started]
   #     title = ""
-  #     body = "🎤"
+  #     body = "..."
-  #   [notifications.messages.transcribing]
-  #     title = ""
-  #     body = "⏳"
-  #   [notifications.messages.config_reloaded]
-  #     title = ""
-  #     body = "🔧"
 
-# Backend explanations:
+# ─────────────────────────────────────────────────────────────────────────────
-# - "ydotool": Uses ydotool (requires ydotoold daemon running for ydotool v1.0.0+). Most compatible with Chromium/Electron apps.
+# Reference: Provider Details
-# - "wtype": Uses wtype for Wayland. May have issues with some Chromium-based apps.
+# ─────────────────────────────────────────────────────────────────────────────
-# - "clipboard": Copies text to clipboard only (most reliable, but requires manual paste).
 #
-# The backends are tried in order. First successful one wins.
+# Transcription providers:
-# Example configurations:
+# - "openai": OpenAI Whisper API (cloud-based, excellent accuracy)
-#   backends = ["clipboard"]                      # Clipboard only (safest)
+# - "groq-transcription": Groq Whisper API (very fast, models: whisper-large-v3, whisper-large-v3-turbo)
-#   backends = ["wtype", "clipboard"]             # wtype with clipboard fallback
+# - "groq-translation": Groq translation to English (always outputs English text, model: whisper-large-v3)
-#   backends = ["ydotool", "wtype", "clipboard"]  # Full fallback chain (default)
+# - "mistral-transcription": Mistral Voxtral API (excellent for European languages, model: voxtral-mini-latest)
+# - "elevenlabs": ElevenLabs Scribe API (99 languages, models: scribe_v1, scribe_v2)
 #
-# Provider explanations:
+# LLM providers (for post-processing):
-# - "openai": OpenAI Whisper API (cloud-based, requires OPENAI_API_KEY)
+# - "openai": GPT models (gpt-4o-mini recommended for cost/quality balance)
-# - "groq-transcription": Groq Whisper API for transcription (fast, requires GROQ_API_KEY)
+# - "groq": Fast inference (llama-3.3-70b-versatile recommended)
-#     Models: whisper-large-v3 or whisper-large-v3-turbo
-# - "groq-translation": Groq Whisper API for translation to English (always outputs English text)
-#     Models: whisper-large-v3 only (turbo not supported for translation)
-# - "mistral-transcription": Mistral Voxtral API (excellent for European languages, requires MISTRAL_API_KEY)
-#     Models: voxtral-mini-latest or voxtral-mini-2507
-# - "elevenlabs": ElevenLabs Scribe API (excellent accuracy, 99 languages, requires ELEVENLABS_API_KEY)
-#     Models: scribe_v1 (99 languages, best accuracy) or scribe_v2 (90 languages, real-time)
 #
-# Language codes: Use empty string ("") for automatic detection, or specific codes like:
+# Injection backends:
-# "en" (English), "it" (Italian), "es" (Spanish), "fr" (French), "de" (German), etc.
+# - "ydotool": Uses ydotool (requires ydotoold daemon). Best for Chromium/Electron apps.
-# For groq-translation, the language field hints at the source audio language for better accuracy.
+# - "wtype": Uses wtype for Wayland. May have issues with some Chromium apps.
+# - "clipboard": Copies to clipboard only (most reliable, requires manual paste).
+#
+# Language codes: "" (auto-detect), "en", "it", "es", "fr", "de", "pt", etc.
 `
 
 	if _, err := file.WriteString(configContent); err != nil {

progress.txt

@@ -170,3 +170,22 @@ Key decisions:
 - Config saved only if user confirms in TUI summary
 - Validation runs before save, errors displayed cleanly
 - Next steps shown after successful save
+
+## Task 10: Update default config template - COMPLETE
+
+Updated SaveDefaultConfig() in internal/config/config.go:
+- Added `keywords = []` at top level (before any TOML tables)
+- Added `[providers.openai]` and `[providers.groq]` sections with api_key
+- Added `[llm]` section with enabled = true, provider = "openai", model = "gpt-4o-mini"
+- Added `[llm.post_processing]` with all 4 options = true
+- Added `[llm.custom_prompt]` with enabled = false
+- Added MIGRATION NOTE in header about old format upgrade
+- Reorganized with clear section headers (box-drawing chars)
+- Removed `transcription.api_key` from default (uses providers map now)
+- Simplified and consolidated reference docs at bottom
+
+Key decisions:
+- LLM enabled by default with OpenAI gpt-4o-mini (best cost/quality)
+- Providers section at top for visibility
+- Keywords before any table definitions (TOML syntax requirement)
+- Concise comments, full reference at bottom

tasks/prd.jsonc

@@ -199,7 +199,7 @@
         "Comments clear",
         "Typecheck passes"
       ],
-      "passes": false
+      "passes": true
     },
     {
       "title": "Add LLM processing notification",