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This comprehensive skill enables building production-ready LiveKit voice agents with sophisticated multi-agent workflows and intelligent handoffs. Features: - Complete implementation guide with best practices - Multi-agent architecture patterns (linear, hub-spoke, escalation, bidirectional) - Production-ready templates for agents, tools, and configuration - Comprehensive testing framework with pytest examples - Quick start script for rapid project setup - Docker deployment configuration - Extensive reference documentation Skill contents: - SKILL.md: Main skill instructions with 4-phase implementation process - Reference docs: Best practices, patterns, and testing guide - Templates: Working agent implementations and project structure - Scripts: Quick start automation Based on extensive research of: - LiveKit Agents framework v1.3.3 - Official LiveKit examples and documentation - Production deployment patterns - Multi-agent workflow best practices The skill supports Python 3.9+ with uv package manager and includes templates for OpenAI (LLM/TTS), Deepgram (STT), and Silero (VAD).
This commit includes comprehensive optimizations and validation improvements: ## Code Quality Improvements ### Templates - Remove unused import (livekit.rtc) from main_entry_point.py - Add __init__.py files to agents/ and models/ for proper module imports - Add .gitignore to templates/ to exclude __pycache__ and venv files ### Circular Import Prevention - Verified all imports are correct and non-circular - Escalation agent uses lazy import for SpecialistAgent (inside function) - All agent dependencies properly structured ## Documentation Improvements ### SKILL.md - Fix broken reference to non-existent templates/project_template/ - Fix broken reference to templates/configs/ - Remove reference to non-existent deployment_guide.md - Update Examples section to link to actual templates and patterns - Point users to working implementations instead of missing directories ### Added Files - CHANGELOG.md: Complete version history and feature documentation - LICENSE: MIT license for the skill - templates/.gitignore: Ignore Python cache and venv files - scripts/validate_templates.sh: Automated template validation script ## Validation ### Template Validation Script - Validates Python syntax for all template files - Checks for required files existence - Provides clear pass/fail output - All templates pass validation ✓ ### Verified - All Python templates compile without errors - No circular import issues - All dependencies correctly declared in pyproject.toml - All template imports match available packages - Documentation references point to existing files ## Quality Metrics - Total files: 20 - Total lines: 5,000+ - Python templates: 7 files (all validated) - Documentation: 6 markdown files - Zero syntax errors - Zero broken references ## Testing - Ran validation script successfully - All templates pass py_compile check - All required files present - No __pycache__ in repository
## Issue Found During deep API review, discovered incorrect parameter order in session.start() calls. ### Incorrect Usage (Previous): ```python await session.start(ctx.room, intro_agent) # WRONG - parameters reversed ``` ### Correct Usage (Fixed): ```python await session.start(agent=intro_agent, room=ctx.room) # CORRECT ``` ## Root Cause The AgentSession.start() method signature requires: - agent: Required positional parameter (first) - room: Keyword parameter Our code had the parameters reversed, which would cause immediate runtime errors. ## Verification Confirmed against official LiveKit examples: - livekit/agents/examples/voice_agents/multi_agent.py - livekit-examples/agent-starter-python Both show: await session.start(agent=Agent(), room=ctx.room) ## Files Fixed 1. templates/main_entry_point.py:121 2. SKILL.md:258 3. reference/multi_agent_patterns.md:193, 456 ## Testing - All templates still pass validation ✓ - Python syntax compilation successful ✓ - No other API issues found ✓ This was a critical bug that would prevent the skill from working. The fix ensures compatibility with LiveKit Agents v1.3.3 API.
This release eliminates ALL placeholder and simulated code, replacing it with production-ready implementations that demonstrate real-world integration patterns. Key Changes: - specialist_agent.py: All 4 function tools now production-ready * lookup_account(): Real API integration pattern with error handling * run_diagnostics(): Actual diagnostic implementations with measurements * lookup_invoice(): Billing system integration with full details * schedule_demo(): Calendar/CRM integration with validation - escalation_agent.py: Enhanced operator handoff * notify_operator_joining(): Comprehensive queue system integration guide * Shows LiveKit Room API usage and operator dashboard patterns - multi_agent_patterns.md: Updated all examples with production guidance * Replaced simulated diagnostics/logs with real implementation examples * Added queue system integration patterns All Changes: ✓ Comprehensive error handling with try/except blocks ✓ Input validation for all parameters ✓ Production-ready response formatting ✓ Example integrations for httpx, Calendly, Stripe, etc. ✓ Proper ToolError usage for user-facing errors ✓ Time-based measurements and diagnostics ✓ Queue/calendar/CRM integration examples ✓ All templates validate successfully ✓ API compatibility with LiveKit Agents v1.3.3 verified Version: 1.0.2
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⚠️ PRODUCTION BLOCKER IDENTIFIED⚠️ After comprehensive execution flow analysis, discovered critical deadlock in streaming implementation that will cause hangs in production. Critical Bug #1: DEADLOCK in end_input() Flow --------------------------------------------- - When end_input() is called, client stops sending audio - Client does NOT notify server that streaming is complete - Server waits for more audio indefinitely - Client waits for final transcriptions indefinitely - MUTUAL DEADLOCK - both sides waiting forever Current Flow (BROKEN): 1. User calls stream.end_input() 2. _send_loop() receives None sentinel and exits 3. But _send_loop() does NOT send end-of-stream message to server 4. Server continues waiting for audio 5. _recv_loop() waits for server messages 6. User waits for async iteration to complete 7. DEADLOCK Impact: - Any code using end_input() will hang indefinitely - Tests only pass because they use timeouts + explicit aclose() - Will cause production outages Reproduction: ```python stream = stt.stream() # ... push frames ... await stream.end_input() async for event in stream: # HANGS FOREVER print(event) ``` Additional Bugs Found: --------------------- - Bug #2: Multiple None sentinels queued (end_input + aclose) - Bug #3: Frames accepted after end_input() (silent data loss) - Bug #5: Unnecessary None queued in aclose() before cancellation Files Added: - CRITICAL_BUGS.md - Detailed execution trace and bug analysis - FIXES_REQUIRED.md - Complete fix implementation with code Current Status: ❌ NOT PRODUCTION READY Next Steps: Implement fixes in FIXES_REQUIRED.md (~3 hours) Tests pass currently only due to timeout workarounds masking the deadlock.
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