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PromptLayer

Brand: Magniv Inc

  • 4.2

  • 3 Ratings

PromptLayer is prompt management software that helps teams track, test, and improve large language model prompts.

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$49

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Starting at $49

PromptLayer Software Overview

What is PromptLayer?

PromptLayer is an AIOps tool designed for large language models. It acts as a middleware, recording every API request and response for better tracking. It records all prompts, stores their versions, and tracks them for better testing and improvisation. The interface is simple and visual, so that the users can collaborate, refine, and monitor prompt performance effectively.

PromptLayer provides visual editing, testing and deployment of prompts. It supports version control, regression testing, and batch evaluations to ensure reliability. It includes observability tools such as logs, latency tracking, and usage analytics to get a prompt usage history. With its collaboration features, PromptLayer allows product managers and researchers to edit prompts visually.

The software automated evaluation frameworks compare effectiveness across models, role-based permissions ensure security, and the Python library supports integration into workflows. The user can manage and monitor prompts through centralized dashboards that provide clear insights to optimize prompts.

Why Choose PromptLayer?

  • Track prompts: Records every API request and response to monitor users' prompt usage patterns and maintain consistent performance across applications.
  • Version control: Stores and manages different prompt iterations, allowing developers to roll back, compare, and refine prompts without losing historical context.
  • Evaluate reliability: Runs regression tests and batch evaluations, so that the prompts deliver consistent outputs and reduce risks.
  • Collaborate easily: Provides a visual editor where non-technical users can contribute to prompt design, helping in teamwork and shared ownership.
  • Monitor performance: It offers logs, latency tracking, and analytics dashboards, helping teams identify issues quickly and optimize prompt effectiveness.

Benefits of PromptLayer

  • Improved tracking: It records every request and response of prompts for making them better, and ensures consistency across language model workflows.
  • Reliable testing: Runs regression checks and evaluations, ensuring prompts deliver stable outputs in production environments.
  • Version management: Stores multiple prompt iterations, allowing developers to compare, refine, and roll back without losing historical context.
  • Performance monitoring: It provides latency tracking, logs, and analytics dashboards, helping teams quickly identify issues and optimize efficiency.
  • Secure access: Supports role-based permissions, ensuring only authorized users can view, edit, or deploy critical prompt assets.

Pricing of PromptLayer

PromptLayer Price starts at USD 49 at techjockey.com. PromptLayer comes with multiple pricing plans and caters to a diverse customer base. For subscription-related details and offers on premium packages, please request a call back from our product experts.

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Magniv Inc Company Details

Founded Year:  2021

The first dev platform for prompt engineering.

Director/Founders Jared Zoneraich, Jonathan Pedoeem
Company Size 1-100 Employees

PromptLayer Pricing & Plans

Pro
Starting at $49
    • Licenses

      Licenses
      Licenses
    • Monthly

      Monthly
      Monthly

Key Features

  • 5 Users

  • 2.5k/month Requests

  • Unlimited Playgrounds

  • 150MB max per Dataset

  • Pay-as-you-go ($0.003 per txn)

Team
Starting at $500
    • Licenses

      Licenses
      Licenses
    • Monthly

      Monthly
      Monthly

Key Features

  • 25 Users

  • 100k+/month Requests

  • 7.5k+/month Eval Cell Executions

  • 1GB max per Dataset

  • Pay-as-you-go ($0.002 per txn)

PromptLayer Features

  • icon_check Prompt Versioning
    Maintain structured versions of prompts with full history, enabling safe updates without changing app code.
  • icon_check Centralized Prompt Library
    Store, organize, and manage all prompts in one shared workspace accessible to cross-functional project teams.
  • icon_check Visual Editor
    Modify prompts using an intuitive editor that lets both technical and non-technical users make real-time updates.
  • icon_check Deployment Control
    Deploy updated prompts instantly without engineering help, accelerating release cycles for AI-powered workflows.
  • icon_check Prompt Observability
    Track prompt usage, latency, cost, and performance metrics by capturing full logs for every prompt execution.
  • icon_check A/B Testing
    Compare two or more prompt versions or models simultaneously to evaluate response quality and output performance.
  • icon_check Visual Regression Testing
    Run structured tests on new prompts to ensure outputs remain consistent and aligned with expected behavior.
  • icon_check Batch EvaluationsProcess large datasets against pr
    Process large datasets against prompts to measure performance across models, versions, and output quality metrics.
  • icon_check Model Comparison
    Evaluate prompts across multiple LLM providers to identify the best model for accuracy, cost, and consistency.
  • icon_check Team Collaboration
    Enable teams to review, edit, comment, and iterate prompts together, improving alignment across stakeholders.
  • icon_check API Integration
    Use a single middleware API to log, observe, and manage all prompt calls made from any AI application codebase.
  • icon_check Role-Based Access Control (RBAC)
    Assign access permissions to users and teams, ensuring prompt editing and deployment remain fully governed.
  • icon_check Cost Tracking & Analytics
    Monitor token usage and spending for every prompt, helping optimize cost efficiency across AI operations.
  • icon_check Execution Log Viewer
    Inspect historical prompt executions with inputs, outputs, metadata, and context for deeper troubleshooting.
  • icon_check Multimodel Support
    Connect with OpenAI, Anthropic, Hugging Face, and other LLMs, enabling flexible model selection for workflows.
  • icon_check Evaluation Pipelines
    Build automated workflows to test, score, and benchmark prompt performance using custom evaluation logic.

PromptLayer Specifications

Supported Platforms
Windows Windows MacOS MacOS Linux Linux
Devices
Desktop Desktop
Deployment
Cloud-Based Cloud-Based
Suitable For
All Industries
Business Specific
All Businesses
Business Size
Small Business Startups Medium Business Enterprises
Customer Support
Email Communities
Language
English
Training Resources
Videos
AI Features
AI Integrated

PromptLayer Review

4.2

Out of 5

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Overall Rating

Based on
3 Verified Ratings

Rating Breakdown

  • Features 4.1
  • Value for Money 4.5
  • Ease of Use 4
  • Customer Support 4.3

80% Recommend this Product

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How much does PromptLayer cost?

PromptLayer pricing starts from USD 49 at techjockey.com.

Who uses PromptLayer?

PromptLayer is used by AI engineers, product managers, and researchers for managing, testing, and monitoring large language model prompts.

How does PromptLayer work?

PromptLayer acts as middleware between applications and LLM APIs, recording requests, storing versions, and enabling evaluation through a visual interface.

Which operating systems are compatible with PromptLayer Software?

PromptLayer runs smoothly on OS like Windows, macOS, and Linux.

Is a free demo available for PromptLayer software?

Yes, a free demo is available for PromptLayer software.

Can PromptLayer provide version control for prompts?

Yes, PromptLayer offers a registry that stores multiple prompt iterations for comparison, rollback, and refinement without losing historical context.

Does PromptLayer support collaboration among non-technical users?

Yes, PromptLayer includes a visual editor that allows product managers and researchers to contribute to prompt design without coding.

How does PromptLayer help with performance monitoring?

PromptLayer provides logs, latency tracking, and analytics dashboards, helping teams identify issues quickly and optimize prompt effectiveness.

Can PromptLayer integrate with Python workflows?

Yes, PromptLayer offers a Python library wrapper to integrate into existing development pipelines and workflows.

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Users with registered businesses can purchase goods from merchants on the platform to satisfy their business needs. Users are not permitted to utilize any products acquired through the platform for resale, advertising, business, or further distribution.

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  • the GSTIN of the user associated with their registered business, and

  • the specified Entity Name for their business.

It should be noted that not all products are eligible for GST Invoice. Only the products displayed by participating sellers with the 'GST-based Invoice Available' callout on the product description page would qualify.

Certain goods and services are not eligible to get a GST Invoice, including items with VAS, i.e., Value Added Services (e.g., Total Mobile Protection/Assured Buyback) and those involving an exchange offer at the time of purchase.

Users must ensure the accuracy of the GSTIN, and business entity name provided for the GST Invoice. Requests for corrections into GST Invoice would not be accommodated by Techjockey.com or any Seller, and any issues arising from user-provided information are the sole responsibility of users.

Techjockey.com is not liable for the GST Invoice or any associated input tax credit. To efficiently claim an input tax credit, users should select the registered place of business address as per the GST authority's data and follow the provisions of the GST Act and rules.

To claim an input tax credit, the delivery and billing addresses must match. Furthermore, input tax credits will not be granted if the delivery address and GSTIN on the invoice are from different states. In case of incorrect GST details provided during the order placement, the order will be canceled automatically.