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Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b
Ell is a Python library that treats prompts as callable functions, transforming a Python function into a language model program where the docstring defines the system message and the return value defines the user message. It provides a framework for writing language model programs that can accept and return images, audio, and text natively within message objects, and supports chaining multiple model calls into a single function for multi-step reasoning or test-time compute. The library decouples model selection from client instantiation through a registry that supports multiple provider backe
Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments. The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and
This project is a community-driven knowledgebase and registry for AI agent configurations. It serves as a centralized repository for system prompts, environment settings, and integration strategies designed to standardize the behavior of various AI-assisted development tools. By capturing these configurations in a structured format, the project enables developers to maintain consistent AI agent performance across different workstations and environments. The repository distinguishes itself through a hierarchical, version-controlled architecture that treats prompt engineering patterns as portab
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 main features of piebald-ai/claude-code-system-prompts are: Claude Code Configurations, Heuristic Token Estimators, Prompt Libraries, Category Browsing, Revision Extraction, Prompt Version Trackers, Revision Histories, Changelogs.
Projects with overlapping indexed features include: helicone/helicone — Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with… madcowd/ell — Ell is a Python library that treats prompts as callable functions, transforming a Python function into a language… arize-ai/phoenix — Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and… x1xhlol/system-prompts-and-models-of-ai-tools — This project is a community-driven knowledgebase and registry for AI agent configurations. It serves as a centralized… agenta-ai/agenta — Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from… f/awesome-chatgpt-prompts — This project is a curated library of community-driven prompt templates and personas designed to improve interactions…