agentops/examples/smolagents

Smolagents Examples

This directory contains examples demonstrating how to use Smolagents with AgentOps for agent monitoring and observability.

Examples

1. Simple Task Agent (simple_task_agent.py)

A minimal example showing how to create a single agent that can answer questions using web search. This is the best starting point for understanding Smolagents basics.

Features:

• Basic agent setup with search capabilities
• AgentOps integration for tracking
• Error handling and session management

2. Multi-Agent System (multi_smolagents_system.py)

A more complex example demonstrating a hierarchical multi-agent system with:

• Manager agent coordinating multiple specialized agents
• Web search agent with custom tools
• Code interpreter capabilities
• Tool creation and usage

3. Text to SQL Agent (text_to_sql.py)

An example showing how to create an agent that can convert natural language queries into SQL statements.

Running the Examples

1. Install dependencies:

pip install agentops smolagents python-dotenv

2. Set up your API keys in a .env file:

AGENTOPS_API_KEY=your_agentops_api_key_here
OPENAI_API_KEY=your_openai_api_key_here

3. Run any example:

python simple_task_agent.py

4. View the results in your AgentOps Dashboard

Key Concepts

• Agents: AI assistants that can use tools and reason through problems
• Tools: Functions that agents can call to interact with external systems
• Models: LLM backends via LiteLLM (supports OpenAI, Anthropic, etc.)
• AgentOps Integration: Automatic tracking of all agent activities

Learn More

• Smolagents Documentation
• AgentOps Documentation
• Full Integration Guide