Collaborative Prompting
Manage your prompts

A collaborative model–agnostic prompt management platform. Version custom prompt templates, tools, and model parameters in our prompt CMS.

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Prompt Management that Empowers

Version Control

Version your custom prompt templates and easily compare differences between versions.

Model-Agnostic Blueprints

Create model-agnostic prompt blueprints that adapt to any LLM model.

Interactive Function Builder

Build functions interactively without the need for complex JSON Schema.

Usage Analytics

Track cost, latency, usage and feedback for each prompt version to optimize performance.

Collaborative Features

Use commit messages and comments to collaborate effectively with your team.

Release Labels

Manage environments like production and development with labeled prompt versions.

A/B Testing

Conduct A/B tests based on user segments to optimize prompt performance.

Automated Testing

Run automatic regression tests or specific evaluation pipelines after creating a new version.

Flexible Templating

Use Jinja2 or f-string syntax to create templates and import snippets.

Enable Everyone to Iterate Faster

Using a prompt management system like PromptLayer enables both technical and non-technical stakeholders to collaborate. Our Prompt Registry is a CMS for your business logic.

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Visualize your Prompts

Prompts describe the business logic of your LLM applications, they should not be hidden in code.

Let everyone Contribute

Key stakeholders do not need to be developers, empower them to contribute and lead your prompts.

Decouple your Workflow

Separate your prompt logic from your codebase, allowing for faster iteration and more flexibility.

Automate your Testing

Ship confidently with automated testing and evaluation pipelines on your prompt template.

Frequently asked questions

If you still have questions feel free to contact us at sales@promptlayer.com

My Prompts are scattered across code, Notion, and Git. How do I give my team access to work on them in one place?
Scattered prompts create real operational risk and make safe collaboration difficult. To address this, many teams adopt a prompt management tool that provides version history, controlled access, and a shared place for technical and non-technical teams to review and iterate on prompts without modifying code or accessing APIs.
What are the characteristics of a comprehensive Prompt Versioning tool?
A comprehensive prompt versioning tool must treat prompts as core software assets, offering an immutable history with full change tracking, diffing capabilities, approval workflows, and the ability to rollback to any previous version. Essential features include release labels (dev/prod) and auditability to ensure reproducibility and safe, controlled deployment of new prompt versions across different environments.
How do you ensure enterprise teams maintain comprehensive Prompt Governance?
At scale, prompt governance breaks down when teams can’t clearly control who changed what, why it changed, or how it reached production. To prevent this, enterprise teams rely on structured prompt governance platform that combines role-based access control (RBAC), approval workflows, and audit logs. This makes prompt changes reviewable, attributable, and defensible—especially in regulated environments where explainability and compliance matter.
Is it possible to manage prompts for multiple LLM providers in a single dashboard?
Managing prompts across multiple LLM providers requires decoupling prompt logic from any single API. Teams do this by using a prompt management platform that serves as a unifying abstraction layer, allowing prompts to be defined once and executed across providers. This reduces vendor lock-in and enables faster switching as pricing, performance, or reliability tradeoffs change.
How can I A/B test different versions of a Prompt?
Teams A/B test prompts by running multiple versions in parallel and comparing how they perform on real traffic. Advanced prompt management systems allow prompt versions to run simultaneously, routing a percentage of live traffic to each. By measuring outcomes like quality, conversion, or latency across versions, teams can validate improvements before fully rolling a prompt into production.