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Effortless Prompt Tracking

Store prompt templates and variables in a searchable local database. Avoid duplicates and tag prompts for easy retrieval.

  • Log prompts and variables automatically.
  • No duplicate entries—unique combinations only.
  • Tag and filter prompts for organization.
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Reproducibility & Analysis

Replay any prompt setup instantly. Analyze which prompts and variables yield the best results.

  • Replay prompts for consistent experiments.
  • Analyze prompt history to optimize performance.
  • Share setups with your team.
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Local, Private, and Simple

Works offline with no cloud or account required. Just copy the Python file into your project—no dependencies beyond the standard library.

  • All data stays on your machine.
  • No setup or registration needed.
  • Flexible and easy to integrate.

Background: The Power of Logging and Replay

In AI agent development, prompts can dramatically affect your results. Logging prompts—along with their variables—offers several key advantages:

  • Experiment Tracking: Record each prompt and context to track what you tried and what worked.
  • Reproducibility: Replay prompts exactly as used before for consistent results and easier debugging.
  • Collaboration: Share logs to build on team efforts, compare approaches, and avoid duplication.
  • Analysis and Optimization: Analyze logged prompts to identify best outcomes and refine strategies.
  • Transparency: Maintain workflow transparency for responsible AI development.

Replayability lets you rerun experiments, validate improvements, and demonstrate results—all with minimal overhead.

Welcome to log-prompt—a lightweight tool designed for AI agent developers who need to keep track of their prompt templates and variables.

Why Use log-prompt?

AI agent developers test many prompts and variables. Tracking them for reproducibility and analysis is hard—log-prompt makes it easy:

  • Organize: Store prompts and variables in a searchable database.
  • No duplicates: Only unique combinations are saved.
  • Tagging: Add tags for easy filtering.
  • Recall: Instantly retrieve any prompt and its variables.

When Should You Use log-prompt?

Use log-prompt when you need to:

  • Track prompt engineering iterations
  • Share prompt setups across teams or projects
  • Analyze which prompts and variables perform best
  • Ensure reproducibility and transparency in your workflow

log-prompt is simple, fast, and fits seamlessly into your prototyping process.

Comparison: log-prompt vs Other Tools

log-prompt is designed to be:

  • Lightweight: Simple integration, minimal dependencies
  • Local and Private: Your data stays on your machine
  • No Cloud Required: Works offline with local SQLite database
  • Flexible: Easily adaptable Python function and schema

LangSmith and similar platforms offer cloud dashboards, team collaboration, and LLM pipeline integrations—excellent for production and larger teams, but potentially excessive for solo developers or quick experiments.

Choose log-prompt for:

  • Local, simple prompt tracking and replay
  • Minimal setup and maximum privacy
  • Full control over data and workflow

Choose tools like LangSmith for:

  • Cloud-based dashboards and analytics
  • Built-in LLM provider integrations
  • Enterprise features and team management

log-prompt excels at fast iteration, experimentation, and personal projects—delivering core prompt logging benefits without overhead.

Where to Get log-prompt

You can get log-prompt directly from the project repository or by copying the Python file into your project:

No installation or dependencies required beyond Python’s standard library.