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Description

The Agent Client Protocol (ACP) serves to unify the communication between code editors, integrated development environments (IDEs), and coding agents, establishing agent-editor interoperability as a standard rather than necessitating unique integrations for every conceivable pairing. It establishes a common interface for interaction between AI agents and client applications, featuring a flexible, extensible, and platform-independent architecture suitable for both local and remote use cases. By tackling issues related to integration costs, limited compatibility, and developer dependency, ACP allows agents adhering to the protocol to function seamlessly with any compatible editor, while editors that embrace ACP can tap into a wider network of ACP-compatible agents. Much like the Language Server Protocol facilitated standardized language server integration, ACP separates agents from editors, enabling both to evolve independently, thereby empowering developers to select the most effective tools for their specific workflows. This innovation fosters a collaborative environment where tools can be easily integrated, enhancing overall productivity and efficiency for developers.

Description

Introducing the inaugural platform designed specifically for prompt engineers, where you can log OpenAI requests, review usage history, monitor performance, and easily manage your prompt templates. With this tool, you’ll never lose track of that perfect prompt again, ensuring GPT operates seamlessly in production. More than 1,000 engineers have placed their trust in this platform to version their prompts and oversee API utilization effectively. Begin integrating your prompts into production by creating an account on PromptLayer; just click “log in” to get started. Once you’ve logged in, generate an API key and make sure to store it securely. After you’ve executed a few requests, you’ll find them displayed on the PromptLayer dashboard! Additionally, you can leverage PromptLayer alongside LangChain, a widely used Python library that facilitates the development of LLM applications with a suite of useful features like chains, agents, and memory capabilities. Currently, the main method to access PromptLayer is via our Python wrapper library, which you can install effortlessly using pip. This streamlined approach enhances your workflow and maximizes the efficiency of your prompt engineering endeavors.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ChatGPT No 
Codey Yes 
Datamorf No 
Ellipsis No 
GPT-3 No 
GPT-3.5 No 
GPT-4 No 
HTML Yes 
JSON Yes 
Java Yes 
Kotlin Yes 
Laguna M.1 Yes 
Laguna XS 2.1 Yes 
Laguna XS.2 Yes 
LiteLLM No 
Markdown Yes 
Model Context Protocol (MCP) Yes 
Rust Yes 
TypeScript Yes 

Integrations

ChatGPT Yes 
Codey No 
Datamorf Yes 
Ellipsis Yes 
GPT-3 Yes 
GPT-3.5 Yes 
GPT-4 Yes 
HTML No 
JSON No 
Java No 
Kotlin No 
Laguna M.1 No 
Laguna XS 2.1 No 
Laguna XS.2 No 
LiteLLM Yes 
Markdown No 
Model Context Protocol (MCP) No 
Rust No 
TypeScript No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Agent Client Protocol (ACP)

Country

United States

Website

agentclientprotocol.com/get-started/introduction

Vendor Details

Company Name

PromptLayer

Country

United States

Website

promptlayer.com

Product Features

Alternatives

Alternatives