Add rl-router to LLMOps section

README.md

@@ -246,6 +246,7 @@ An awesome & curated list of the best LLMOps tools for developers.
 | [TrueFoundry](https://www.truefoundry.com/)                        | Deploy LLMOps tools like Vector DBs, Embedding server etc on your own Kubernetes (EKS,AKS,GKE,On-prem) Infra including deploying, Fine-tuning, tracking Prompts and serving Open Source LLM Models with full Data Security and Optimal GPU Management. Train and Launch your LLM Application at Production scale with best Software Engineering practices.                                              |                                                                                                           |
 | [ReliableGPT 💪](https://github.com/BerriAI/reliableGPT/)          | Handle OpenAI Errors (overloaded OpenAI servers, rotated keys, or context window errors) for your production LLM Applications.                                                                                                                                                                                                                                                                          | ![GitHub Badge](https://img.shields.io/github/stars/BerriAI/reliableGPT.svg?style=flat-square)            |
 | [Registry Broker](https://github.com/hashgraph-online/registry-broker) | Universal index and routing layer for AI agents. Aggregates agent metadata from multiple registries (NANDA, MCP, Virtuals, OpenRouter, A2A, X402 Bazaar) across web2 and web3, normalizes profiles, and provides protocol translation between agent ecosystems.                                                                                                                                        | ![GitHub Badge](https://img.shields.io/github/stars/hashgraph-online/registry-broker.svg?style=flat-square) |
+| [rl-router](https://github.com/ElromEvedElElyon/rl-router) | Contextual Thompson Sampling router for multi-provider LLM APIs (OpenAI, Anthropic, Google, local). Adapts to rate limits and provider failures. Zero config, zero deps. MIT, Python 3.9+. | ![GitHub Badge](https://img.shields.io/github/stars/ElromEvedElElyon/rl-router.svg?style=flat-square) |
 | [Roundtable](https://github.com/askbudi/roundtable)                | Zero-configuration unified AI assistant management built on the FastMCP framework. Provides seamless integration with Claude, ChatGPT, and other AI assistants through a single MCP interface with session management, logging, and production-ready operations.                                                                                                                                        | ![GitHub Badge](https://img.shields.io/github/stars/askbudi/roundtable.svg?style=flat-square)             |
 | [Portkey](https://portkey.ai/)                                     | Control Panel with an observability suite & an AI gateway — to ship fast, reliable, and cost-efficient apps.                                                                                                                                                                                                                                                                                            |                                                                                                           |
 | [Semantic Cache Router](https://github.com/redjackfred/distributed-semantic-cache-and-stateful-routing-system) | Distributed semantic cache and stateful routing system that cuts LLM API costs by returning cached responses for semantically similar queries. Uses ANN vector search (cosine ≥ 0.8) and consistent hashing to pin requests to the same worker, achieving ~7× latency reduction on cache hits while scaling horizontally without cache thrash. | ![GitHub Badge](https://img.shields.io/github/stars/redjackfred/distributed-semantic-cache-and-stateful-routing-system.svg?style=flat-square) |