prompt-versioning

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

A Laravel package for versioned AI prompt management with variable interpolation, performance tracking & A/B testing.

🚀 Production-ready template for building AI applications with Pydantic AI, FastAPI, PostgreSQL, Redis, LiteLLM, and comprehensive monitoring. Includes admin panel, CI/CD, testing, and observability out of the box.

Open-source LLMOps platform with prompt management, an OpenAI-compatible AI gateway, OpenTelemetry tracing, a versioned tool catalog, and LLM evaluation. Use hosted or self-host with TypeScript and Python SDKs.

PromptLane is an open-source platform for managing and versioning AI prompts. Built with FastAPI, it provides a robust API for prompt management, project organization, and seamless integration with your AI applications.

Self-hosted prompt library and template editor with an MCP server for ChatGPT. Save prompts as sections with {{variables}}, version them, and bring your own LLM provider. FastAPI + Next.js, Apache-2.0.

Using jinja to build prompts for LLMs and sqlite for prompt versioning

A comprehensive developer-first prompt management tool with git-like version control

Plataforma para operar agentes de IA em produção: agentes, times multi-agente e workflows versionados com rollback, RAG com pgvector, ferramentas via MCP, guardrails e analytics de latência e custo.

Prompt-and-Tag is a tool designed to enhance AI-assisted development by seamlessly integrating your codebase with Large Language Models (LLMs). It creates synchronized snapshots of your code, making it easier to maintain context in AI conversations.

Open-source platform for managing, versioning, and AI-enhancing LLM prompts across teams

curl for prompts. Run .prompt files against any LLM (Anthropic, OpenAI, Ollama) from the terminal. Treat prompts as code — version them, review them in PRs, and test them in CI.

Open-source, self-hostable AI cost & workflow observability. Find the prompt, customer, model, and workflow path behind every LLM cost spike — without a proxy.

Promptify — self-hosted prompt manager with MCP, REST API and web UI

A prompt management & model selection platform for LLM engineering. Compare multiple models side-by-side, debug prompts, and find the best model for your use case.

Python foundation for LLM apps whose prompts and spend you can actually see — versioned prompts, every call recorded and replayable, budgets, evals, jobs.

Diff two LLM prompts at text, semantic, and behavioural levels. Detects changes to persona, constraints, output format, and safety guardrails. CI-ready exit codes. Zero mandatory dependencies.

Automated prompt optimization using mentor-agent architecture. Generate and refine prompts from labeled data.

Embedded-first, storage-portable, immutable-versioned config primitive with an eval-gate coupled to promote, over an arbitrary payload T. Packages: core + prompt-store + scaffold-store.

LLMs as production extraction infrastructure: rule-vs-LLM triage, validated structured outputs, cost-capped model routing, a measured precision/recall eval + vendor-drift detection, entity resolution, and an Airflow 3 ETL DAG. Runs fully offline.