## Description Add Headroom integration with AWS Strands Agents SDK, enabling automatic context optimization and tool output compression for Strands-based agents. Fixes #14 ## Type of Change - [x] New feature (non-breaking change that adds functionality) - [x] Documentation update ## Changes Made ### Core Integration (`headroom/integrations/strands/`) - **HeadroomHookProvider** - Implements Strands `HookProvider` interface for automatic tool output compression via `AfterToolCallEvent`. Compresses verbose tool outputs before they enter conversation context. - **HeadroomStrandsModel** - Model wrapper that extends Strands `Model` base class for message-level optimization. Implements all required abstract methods: `stream()`, `get_config()`, `update_config()`, `structured_output()`. - **Provider auto-detection** - Automatically detects appropriate Headroom provider (Anthropic, OpenAI, Google) based on wrapped Strands model type. - **`strands-agents` as optional dependency** - Install with `pip install headroom-ai[strands]` ### Testing (`tests/integrations/test_strands/`) - **Real integration tests (25 tests)** - Use actual AWS Bedrock API calls with Claude 3 Haiku. Skip automatically when credentials unavailable. - **Unit tests (57 tests)** - Mock-based tests for internal logic, edge cases, and error handling. No credentials required. ### Demo (`examples/strands_bedrock_demo.py`) - Interactive demo showcasing both integration patterns - Visual before/after compression comparison with token savings - 4 verbose tools (search, logs, database, metrics) demonstrating real savings - Supports `--hook` and `--model` flags for individual demos ## Testing All tests verified: - [x] Unit tests pass (57 tests) - [x] Integration tests pass (25 tests with real Bedrock API) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom/integrations/strands/`) - [x] Formatting passes (`ruff format --check`) - [x] Demo runs successfully with ~50% token savings ## Test Output ``` $ pytest tests/integrations/test_strands/ -v =================== 82 passed in 90.09s =================== $ ruff check headroom/integrations/strands/ --ignore E402 All checks passed! $ mypy headroom/integrations/strands/ --ignore-missing-imports Success: no issues found ``` ## Demo Results ``` ╭────────────────────────────────────────────────────────────╮ │ HeadroomHookProvider Results │ │────────────────────────────────────────────────────────────│ │ Tokens BEFORE compression: 51,961 │ │ Tokens AFTER compression: 25,658 │ │ Tokens SAVED: 26,303 (50.6%) │ ╰────────────────────────────────────────────────────────────╯ ``` |
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|---|---|---|
| .. | ||
| deployment/macos-launchagent | ||
| langchain_demo | ||
| mcp_demo | ||
| README.md | ||
| strands_bedrock_demo.py | ||
| test_intelligent_context_toin_ccr.py | ||
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:
- HeadroomHookProvider - Compresses tool outputs in real-time
- 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.