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Description
Agent Communication Protocol (ACP) is an open standard created to solve interoperability challenges between AI agents operating across different frameworks and platforms. The protocol establishes a common communication layer using REST-based APIs, enabling agents to exchange information through familiar HTTP patterns. Organizations can use ACP to connect agents regardless of the underlying technology stack, reducing the need for custom integrations and framework-specific connectors. It supports both real-time and asynchronous communication models, making it suitable for simple requests as well as long-running workflows. ACP accommodates a wide variety of content types through MimeType-based messaging, allowing agents to share text, multimedia, and specialized data formats. The protocol also enables agent discovery, including scenarios where agents are offline or operating in disconnected environments. Developers can interact with ACP using standard HTTP tools or leverage official Python and TypeScript SDKs for faster implementation. By standardizing communication, ACP simplifies the development of multi-agent systems that collaborate across applications, departments, and organizations. The project is governed as an open initiative within the Linux Foundation ecosystem, encouraging community-driven innovation and broad industry adoption.
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
API Access
Has API
Screenshots View All
No images available
Integrations
Brief
ChatGPT
CrewAI
Datamorf
Ellipsis
GPT-3
GPT-3.5
GPT-4
LangChain
LiteLLM
Integrations
Brief
ChatGPT
CrewAI
Datamorf
Ellipsis
GPT-3
GPT-3.5
GPT-4
LangChain
LiteLLM
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Linux Foundation
Website
agentcommunicationprotocol.dev/
Vendor Details
Company Name
PromptLayer
Country
United States
Website
promptlayer.com