headroom/examples

Headroom Examples

This directory contains examples demonstrating Headroom's capabilities.

Quick Start Examples

basic_usage.py

Basic integration with OpenAI client:

export OPENAI_API_KEY='your-key'
python examples/basic_usage.py

anthropic_example.py

Integration with Anthropic Claude:

export ANTHROPIC_API_KEY='your-key'
python examples/anthropic_example.py

streaming_example.py

Streaming responses with optimization:

export OPENAI_API_KEY='your-key'
python examples/streaming_example.py

tabular_compression_demo.py

Tabular + spreadsheet compression on generated sample data (no API key needed). Shows where CSV/markdown tables and .xlsx workbooks compress and where compact, all-unique data correctly passes through:

python examples/tabular_compression_demo.py            # run all scenarios
python examples/tabular_compression_demo.py --write DIR # also save the sample files

Evaluation Examples

smart_vs_naive_eval.py

Compare SmartCrusher against naive truncation:

export OPENAI_API_KEY='your-key'
python examples/smart_vs_naive_eval.py

real_world_eval.py

Comprehensive evaluation with Anthropic models:

export ANTHROPIC_API_KEY='your-key'
python examples/real_world_eval.py

real_world_openai_eval.py

Comprehensive evaluation with OpenAI models:

export OPENAI_API_KEY='your-key'
python examples/real_world_openai_eval.py

Demo Directories

langchain_demo/

Full LangChain agent integration demo:

# No API key needed for compression demo
PYTHONPATH=. python -m examples.langchain_demo.show_compression

# Full comparison (requires API key)
export OPENAI_API_KEY='your-key'
PYTHONPATH=. python -m examples.langchain_demo.run_comparison

See langchain_demo/README.md for details.

mcp_demo/

MCP (Model Context Protocol) integration demo:

export OPENAI_API_KEY='your-key'
PYTHONPATH=. python -m examples.mcp_demo.run_agent_eval

strands_bedrock_demo.py

AWS Strands Agents + Bedrock integration demo. Showcases two Headroom integration patterns:

1. HeadroomHookProvider - Compresses tool outputs in real-time
2. HeadroomStrandsModel - Optimizes entire conversation context

# Configure AWS credentials
export AWS_ACCESS_KEY_ID='your-access-key'
export AWS_SECRET_ACCESS_KEY='your-secret-key'
export AWS_DEFAULT_REGION='us-west-2'  # Optional, defaults to us-west-2

# Or use AWS profile
export AWS_PROFILE='your-profile-name'

# Run the full demo (both integration patterns)
python examples/strands_bedrock_demo.py

# Run only the hook provider demo
python examples/strands_bedrock_demo.py --hook

# Run only the model wrapper demo
python examples/strands_bedrock_demo.py --model

# Specify a different AWS region
python examples/strands_bedrock_demo.py --region us-east-1

The demo uses Claude 3 Haiku via Bedrock for cost efficiency. It creates agents with 4 tools that return verbose JSON output (search results, logs, database records, metrics) and displays compression statistics with visual comparisons.

Requirements:

• AWS account with Bedrock enabled
• Claude 3 Haiku model access in your region
• pip install strands-agents headroom-ai[strands]

Running Examples

All examples can be run from the repository root:

# Install dependencies
pip install -e ".[dev]"

# Run any example
python examples/<example_name>.py

Expected Results

Example	Token Savings	Notes
basic_usage	50-70%	Simple tool output compression
langchain_demo	70-85%	Real agent with multiple tools
mcp_demo	60-80%	MCP tool outputs
strands_bedrock_demo	60-85%	Strands + Bedrock with verbose tools
real_world_eval	50-90%	Varies by scenario

Troubleshooting

ModuleNotFoundError: No module named 'headroom'

Run from the repository root with PYTHONPATH:

PYTHONPATH=. python examples/basic_usage.py

Or install in development mode:

pip install -e .

API Key Errors

Ensure your API keys are set:

export OPENAI_API_KEY='sk-...'
export ANTHROPIC_API_KEY='sk-ant-...'

AWS Credentials Errors (for Strands demo)

Ensure AWS credentials are configured:

# Option 1: Environment variables
export AWS_ACCESS_KEY_ID='your-access-key'
export AWS_SECRET_ACCESS_KEY='your-secret-key'

# Option 2: AWS profile
export AWS_PROFILE='your-profile-name'

# Option 3: AWS credentials file (~/.aws/credentials)

Also ensure Bedrock and the Claude 3 Haiku model are enabled in your AWS account.