Prompt-Layer-Library

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PromptLayer is an AI development tool that helps developers track, debug, and replay OpenAI API requests and prompts. It acts as middleware between code and the OpenAI Python library, logging all API requests.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is prompt-layer-library?

PromptLayer is a robust AI development tool designed for prompt engineers and developers working with large language models. It functions as middleware, seamlessly integrating with the OpenAI Python library to log and manage all API requests and prompts. Users can track, debug, and replay past completions, offering a comprehensive solution for prompt versioning, testing, and monitoring. The library provides convenient access to the PromptLayer API, allowing for prompt template retrieval, listing, publishing, and cache invalidation. It also includes features for manual request logging, request annotation with metadata, prompt linkage, scores, and groups, and even a decorator for tracing custom functions. With support for both synchronous and asynchronous operations, PromptLayer streamlines the development workflow for AI applications.

Best used for

Ideal for developers and data scientists who need to version, test, and monitor every prompt and agent with robust evaluations. Especially valuable for debugging AI application responses, A/B testing prompt variations, and maintaining a comprehensive history of AI interactions.

Common actions

manage prompts

track API requests

debug AI models

version control prompts

monitor AI interactions

collaborationopen-sourceworkflowsdeepfakeface swappinglow-code/no-codegithub copilotautomated workflow"AI Agents"

Capabilities

Key features

Log OpenAI API requests
Track, debug, replay completions
Prompt template management
Request annotation
OpenTelemetry tracing
Provider SDK proxies

Target Audience

developerdata scientiststartup founder

Integrations

openaianthropic

Pricing & Plans

Open Source

Free

FAQs

What is PromptLayer and how does it integrate with my code?

PromptLayer is a Python library that acts as middleware for your AI applications. It integrates by wrapping supported provider SDKs like OpenAI and Anthropic, automatically logging your API requests and responses to the PromptLayer dashboard for tracking and debugging.

Can I use PromptLayer to manage prompt templates?

Yes, PromptLayer provides client resources for prompt template management. You can retrieve, list, publish, and invalidate prompt templates directly through the API. It also supports in-memory caching for faster access to frequently used templates.

Does PromptLayer support tracing and error handling?

PromptLayer supports OpenTelemetry tracing, allowing you to export spans to the platform for detailed insights into your agent runs. It also offers robust error handling, raising specific exceptions for API and validation issues, with an option to return None instead of raising errors.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Research & Education › Knowledge Management

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