Lab 2: Model Providers and Configuration

Duration: 11:59 | Files: anthropic_model.py, bedrock_model.py, ollama_model.py, openai_model.py

What You'll Learn

• Configure agents with multiple LLM providers (Anthropic, Bedrock, OpenAI, Ollama)
• Understand model-specific parameters and capabilities
• Compare structured output and thinking mode features
• Analyze metrics and performance across providers

Quick Start

# Anthropic Claude (requires ANTHROPIC_API_KEY)
python anthropic_model.py

# Amazon Bedrock (requires AWS credentials)
python bedrock_model.py

# OpenAI (requires OPENAI_API_KEY)
python openai_model.py

# Local Ollama (requires Ollama installation)
python ollama_model.py

Key Concepts

• Provider Flexibility: Switch between cloud and local models
• Model Parameters: Temperature, max tokens, thinking mode
• Structured Output: JSON response formatting
• Cost Optimization: Choose models based on use case

Requirements

• ANTHROPIC_API_KEY (primary)
• AWS credentials (for Bedrock)
• OPENAI_API_KEY (optional)
• Ollama installation (for local models)