headroom/examples
chopratejas f121138c8a Fix context-blind compression: pass user query to SmartCrusher relevance scorer
ROOT CAUSE: compress() did not extract the user's question from messages.
The pipeline received empty context, so SmartCrusher selected items by
statistics only (position, anomaly, boundary) — keeping irrelevant chunks
and dropping relevant ones.

FIX: _extract_user_query() in compress.py finds the most recent user
message and passes it as `context` kwarg through the pipeline. SmartCrusher's
RelevanceScorer now receives the actual query and scores items by relevance.

Before: 12 RAG chunks → kept hallucination/video (0/6 key terms)
After:  12 RAG chunks → kept reward hacking content (3/4 key terms)

Also adds:
- examples/context_compression_demo.py — real compression demo for OSS PR
- examples/test_ccr.py — content preservation verification
- OSS_PR_STRATEGY.md — PR target list for LangChain ecosystem

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-25 23:15:19 -07:00
..
deployment/macos-launchagent fix(deployment): correct port placeholder in LaunchAgent plist template 2026-01-19 13:44:30 -08:00
langchain_demo Fix all ruff lint and format errors for CI 2026-01-10 15:33:44 -08:00
mcp_demo Fix all ruff lint and format errors for CI 2026-01-10 15:33:44 -08:00
context_compression_demo.py Fix context-blind compression: pass user query to SmartCrusher relevance scorer 2026-03-25 23:15:19 -07:00
README.md feat: Add AWS Strands Agents SDK integration 2026-01-31 00:31:37 -08:00
strands_bedrock_demo.py feat: Add AWS Strands Agents SDK integration 2026-01-31 00:31:37 -08:00
test_ccr.py Fix context-blind compression: pass user query to SmartCrusher relevance scorer 2026-03-25 23:15:19 -07:00
test_intelligent_context_toin_ccr.py docs: update documentation for IntelligentContext TOIN + CCR integration 2026-01-27 16:08:36 -08:00

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

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.