GenPark Exponential Backoff Jitter Retry
LocalAbout GenPark Exponential Backoff Jitter Retry
A retry engine for LLM rate limits, offering full jitter, decorrelated jitter, and truncated exponential backoff. It can run as an MCP server or be used directly as a Python library.
Key features
- 01Full-jitter retries
- 02Decorrelated-jitter retries
- 03Truncated exponential backoff
- 04Python standard library only
Use cases
- 01Handle LLM rate limits
- 02Schedule backoff retries for failed requests
MCP support
Runs as an MCP server that provides retry strategies to clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Exponential Backoff Jitter Retry
Enterprise retry engine with full jitter, decorrelated jitter, and truncated exponential backoff for LLM rate limits.
Part of the GenPark AI Agent Skills Ecosystem.
🌟 Key Features
- 100% Python Standard Library: Zero third-party runtime dependencies.
- MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
- Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.
🚀 Installation & Usage
Run as an MCP server:
python mcp_server.py
Use directly as a library:
from client import *
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Comments
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