feat: Add SmoLAgents-based multi-agent party planning system #7
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Add new smolagent implementation demonstrating multi-agent workflows using HuggingFace SmoLAgents framework for coordinated task execution. Key Features: - Multi-agent architecture with specialized roles: - Music Agent: Searches for party music recommendations using DuckDuckGo - Menu Agent: Suggests party menus with custom tool integration - Schedule Agent: Calculates party preparation timeline with datetime support - Response Agent: Synthesizes all results into engaging narrative Agent Implementation Details: - Uses CodeAgent with InferenceClientModel for HuggingFace Hub integration - Custom suggest_menu tool with occasion-based menu recommendations - DuckDuckGoSearchTool for real-time web search capabilities - Authorized datetime imports for schedule calculations - Bruce Wayne party theme for demonstration Technical Stack: - smolagents>=1.21.3 for agent framework - huggingface-hub>=0.34.4 for model integration - ddgs>=9.5.5 for search functionality - Python 3.13+ compatibility Project Structure: - main.py: Multi-agent orchestration with party planning workflow - pyproject.toml: UV-compatible dependency management - README.md: Documentation placeholder 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Add full observability stack with Langfuse and OpenTelemetry integration, plus optimize music agent with ToolCallingAgent for better tool usage. Instrumentation Features: - Langfuse client integration for AI observability and analytics - OpenInference SmoLAgents instrumentation for automatic tracing - OpenTelemetry OTLP exporter for telemetry data collection - Authentication validation with connection status checks Agent Architecture Improvements: - Music agent now uses ToolCallingAgent for optimized tool interaction - Better separation between code-based and tool-based agent workflows - Enhanced tool utilization for DuckDuckGo search functionality Technical Implementation: - Langfuse client initialization with environment-based authentication - Automatic SmoLAgents workflow instrumentation using OpenInference - OpenTelemetry SDK integration for standardized telemetry collection - OTLP exporter configuration for data transmission Dependencies Added: - langfuse>=3.3.4: AI observability and experiment tracking - openinference-instrumentation-smolagents>=0.1.16: Agent-specific tracing - opentelemetry-exporter-otlp>=1.36.0: OTLP data export capabilities - opentelemetry-sdk>=1.36.0: Core OpenTelemetry functionality 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Add new smolagent implementation demonstrating multi-agent workflows using HuggingFace SmoLAgents framework for coordinated task execution.
Key Features:
Agent Implementation Details:
Technical Stack:
Project Structure:
🤖 Generated with Claude Code