rlm
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
Learn how to integrate RLM with other systems. This guide shows you how to instantiate the RLM class, configure your backend, and execute recursive reasoning workflows.
What Is the License of the RLM Project? MIT License Terms ExplainedDiscover the RLM project's MIT License terms. Learn how this permissive license allows full use, modification, and distribution of the RLM library for your projects.
Design Patterns in RLM: A Deep Dive into the Recursive Language Model ArchitectureExplore RLM design patterns like Abstract Base Classes, Strategy, Adapter, and Builder. Discover how RLM creates a modular framework for executing LLM code across diverse environments.
RLM Deployment Strategies: How to Deploy Recursive Language Models in Local and Cloud EnvironmentsExplore RLM deployment strategies from local in-process execution to cloud sandboxes like Modal, Prime, Docker, e2b, and Daytona. Deploy Recursive Language Models with flexibility.
How is the RLM Project Versioned? A Two-Layer Strategy ExplainedUnderstand RLM project versioning with its two-layer strategy. Learn how a public package version and an internal training library version work together.
Performance Considerations for RLM: Optimizing Recursive Language Model ExecutionOptimize RLM performance with concurrency limits, token budgets, and depth caps. Learn how RLM balances throughput and overhead for efficient recursive language model execution.
What Are the Main APIs Exposed by RLM? A Complete Guide to the Recursive Language Model InterfaceDiscover the core RLM APIs: RLM class for recursive execution, get_client factory for backend abstraction, and structured exceptions. Understand the Recursive Language Model interface.
How to Get Started with RLM: Examples, Tutorials, and Quick-Start GuideGet started with RLM using the alexzhang13/rlm repository. Access quick-start scripts, detailed examples, and tutorials for efficient RLM implementation.
How Configuration Works in RLM: A Complete Guide to the Recursive Language ModelDiscover how configuration works in RLM. The RLM class constructor centralizes parameters, validates them, and enforces runtime limits like budget and timeout for efficient model completion.
How to Run Tests for the RLM Project: A Complete pytest GuideLearn how to run tests for the RLM project using pytest. Install dependencies and execute pytest from the repository root for comprehensive test coverage. Get started now.
What Are the Dependencies for the RLM Project? A Complete Guide to Core, Optional, and Dev RequirementsDiscover RLM project dependencies. Explore core Python packages like OpenAI and Anthropic, optional extras for sandbox providers, and dev requirements for testing.
Build and Compilation Steps for RLM: A Pure-Python Installation GuideDiscover RLM's effortless pure-Python installation. No build or compilation steps needed for this library. Get started quickly with pip or uv.
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