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r2d4 avatar

r2d4/rellm

0
View on GitHub↗

Rellm

Exact structure out of any language model completion.

Features

  • Prompt Engineering Tools - Regular expressions for language model completions.

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513 stars·23 forks·Python·MIT·11 views

Star history

Star history chart for r2d4/rellmStar history chart for r2d4/rellm

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does r2d4/rellm do?

Exact structure out of any language model completion.

What are the main features of r2d4/rellm?

The main features of r2d4/rellm are: Prompt Engineering Tools.

Which projects share features with r2d4/rellm?

Projects with overlapping indexed features include: ironclad/rivet — Rivet is a visual LLM workflow designer and AI agent orchestration engine. It serves as a development environment for… piebald-ai/claude-code-system-prompts — This repository catalogs the system prompts used by Claude Code, organizing them into browsable categories with… langgptai/promptver — Semantic Versioning for Prompts - Clear, predictable version management specification for AI prompts | Prompt 语义化版本规范. promptfoo/promptfoo — Promptfoo is an evaluation framework designed for testing, benchmarking, and red-teaming language models and agentic… promptslab/promptify — Promptify is a suite of tools designed for model evaluation, prompt management, token cost tracking, structured… bigscience-workshop/promptsource — Toolkit for creating, sharing and using natural language prompts.

Projects sharing features with Rellm

These projects share indexed features with Rellm. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • ironclad/rivetIronclad avatar

    Ironclad/rivet

    4,719View on GitHub↗

    Rivet is a visual LLM workflow designer and AI agent orchestration engine. It serves as a development environment for building retrieval augmented generation pipelines and a TypeScript library for embedding visual AI graphs and prompt logic into JavaScript applications. The system differentiates itself through a node-based editor that maps data flow between language models, vector databases, and external APIs. It provides specialized tools for prompt engineering, including interfaces for iterative prompt refinement and A/B testing to improve model response quality. The platform covers a broa

    TypeScript
    View on GitHub↗4,719
  • piebald-ai/claude-code-system-promptsPiebald-AI avatar

    Piebald-AI/claude-code-system-prompts

    4,676View on GitHub↗

    This repository catalogs the system prompts used by Claude Code, organizing them into browsable categories with token-count estimates for each prompt. It functions as both a prompt library browser and a revision tracker, surfacing the size and complexity of individual prompts to support auditing and prompt engineering decisions. The project records prompt revisions by parsing git diffs between versions, capturing additions, removals, and token-count changes in a structured changelog. Token counts are approximated from character length using a fixed heuristic ratio, avoiding the need for API c

    JavaScriptclaude-codeclaude-code-system-promptssystem-prompts
    View on GitHub↗4,676
  • langgptai/promptverlanggptai avatar

    langgptai/PromptVer

    3View on GitHub↗

    Semantic Versioning for Prompts - Clear, predictable version management specification for AI prompts | Prompt 语义化版本规范

    View on GitHub↗3
  • promptfoo/promptfoopromptfoo avatar

    promptfoo/promptfoo

    10,529View on GitHub↗

    Promptfoo is an evaluation framework designed for testing, benchmarking, and red-teaming language models and agentic workflows. It provides a unified environment to run prompts against multiple providers, allowing developers to systematically validate model outputs against objective assertions, semantic similarity metrics, and custom grading rubrics. The platform distinguishes itself through a provider-agnostic execution layer and a stateful orchestrator capable of simulating multi-turn conversations and complex tool-use trajectories. It includes a dedicated adversarial mutation pipeline that

    TypeScriptcici-cdcicd
    View on GitHub↗10,529
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