A rate limiting library backed by DynamoDB using the token bucket algorithm.
Installation
pip install zae-limiter
# or
conda install -c conda-forge zae-limiter
Usage
from zae_limiter import Repository, RateLimiter, SyncRepository, SyncRateLimiter, Limit
# Auto-provisions infrastructure if needed
repo = await Repository.open()
limiter = RateLimiter(repository=repo)
# Sync
sync_repo = SyncRepository.open()
sync_limiter = SyncRateLimiter(repository=sync_repo)
# Define default limits (can be overridden per-entity)
default_limits = [
Limit.per_minute("rpm", 100),
Limit.per_minute("tpm", 10_000),
]
async with limiter.acquire(
entity_id="api-key-123",
resource="gpt-4",
limits=default_limits, # Multiple limits in a single atomic transaction
consume={"rpm": 1, "tpm": 500}, # Estimate tokens upfront
) as lease:
response = await call_llm()
# Reconcile actual usage (can go negative for post-hoc adjustment)
await lease.adjust(tpm=response.usage.total_tokens - 500)
# Tokens written to DynamoDB on enter | Rolled back on exception
# Hierarchical entities: create project with stored limits, then API key under it
await limiter.create_entity(entity_id="proj-1", name="Production")
await limiter.set_limits("proj-1", [Limit.per_minute("tpm", 100_000)]) # Project-level
await limiter.create_entity(entity_id="api-key-456", parent_id="proj-1", cascade=True)
# cascade is an entity property — acquire() auto-cascades to parent
with sync_limiter.acquire(
entity_id="api-key-456",
resource="gpt-4",
limits=default_limits,
consume={"rpm": 1, "tpm": 500},
):
call_api()
# Multi-tenant: each tenant gets an isolated namespace
tenant_repo = await Repository.open("tenant-alpha")
tenant_limiter = RateLimiter(repository=tenant_repo)
# Cleanup (removes all data)
await repo.delete_stack()
Documentation
| Guide | Description |
|---|---|
| Getting Started | Installation, first deployment |
| Basic Usage | Rate limiting patterns, error handling |
| Hierarchical Limits | Parent/child entities, cascade mode |
| LLM Integration | Token estimation and reconciliation |
| CLI Reference | Deploy, status, delete commands |
| Multi-Tenant Guide | Namespace isolation, per-tenant IAM |
| Production Guide | Security, monitoring, cost |
Production Deployment
The default deployment includes CloudWatch alarms and usage aggregation. For production, add data recovery and alert routing:
zae-limiter deploy --name my-app --region us-east-1 \
--pitr-recovery-days 7 \
--alarm-sns-topic arn:aws:sns:us-east-1:123456789012:alerts
For security best practices, multi-region considerations, and cost estimation, see the Production Guide.
Contributing
git clone https://github.com/zeroae/zae-limiter.git && cd zae-limiter
uv sync --all-extras
pytest
See the Contributing Guide for development setup, testing, and architecture details.
License
MIT
Metadata
Release files for zae-limiter 0.13.0
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|---|---|---|---|---|
| zae_limiter-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
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