strands-agents-extensions 0.1.1

Community extensions for the Strands Agents SDK

strands-agents-extensions

Community extensions for the Strands Agents SDK — session managers and plugins in one package with optional extras.

Installation

Install the base package:

pip install strands-agents-extensions

Install with specific extras:

# SQLite session manager
pip install strands-agents-extensions[sqlite]

# All plugins
pip install strands-agents-extensions[plugins]

# All session managers
pip install strands-agents-extensions[session-managers]

# Everything
pip install strands-agents-extensions[all]

Quick Start

Session Managers

from strands_agents_extensions.session_managers import SQLiteSessionManager

# Create a SQLite-backed session manager
session_manager = SQLiteSessionManager(
    session_id="chat-session-001",
    db_path="sessions.db",
)

# Use with Strands Agent
agent = Agent(
    session_manager=session_manager,
    # ... other config
)

Plugins

from strands_agents_extensions.plugins import BudgetPlugin, RateLimiterPlugin

# Add budget control to your agent
budget_plugin = BudgetPlugin(max_cost_per_session=10.0)

# Add rate limiting
rate_limiter = RateLimiterPlugin(model_calls_per_minute=60)

agent = Agent(
    plugins=[budget_plugin, rate_limiter],
    # ... other config
)

Available Extras

Extra	Description	Dependencies
sqlite	SQLite session manager	None (stdlib)
budget	Budget control plugin	litellm<=1.82.6
rate-limiter	Rate limiting plugin	None
redaction	PII redaction plugin	None
fallback	Model fallback plugin	None
session-managers	All session managers	sqlite
plugins	All plugins	budget + rate-limiter + redaction + fallback
all	Everything	session-managers + plugins

Available Components

Session Managers

• SQLiteSessionManager: Local SQLite-backed session storage with full conversation history

Plugins

• BudgetPlugin: Track and enforce token budget limits
• RateLimiterPlugin: Control request rate to avoid API throttling
• MessageRedactionPlugin: Automatically redact PII from messages
• ModelFallbackPlugin: Implement model fallback strategies on failures

Development

Running Tests

This project uses Hatch for environment management and pytest for testing.

# Install Hatch if you don't have it
pip install hatch

# Run all tests
hatch run test

# Run with verbose output
hatch run test -v

# Run a specific test file
hatch run test tests/plugins/test_budget.py

# Run tests matching a pattern
hatch run test -k test_budget

If you already have a virtual environment with dev dependencies installed, you can run pytest directly:

pytest tests/

License

Apache-2.0

Contributing

Contributions welcome! This is a community-maintained package for extending the Strands Agents SDK.