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A recent Air release added support for custom agents through Agent Client Protocol. Here’s how to configure GitHub Copilot as a custom agent in Air:

6,394,449 次观看 • 2 个月前 •via X (Twitter)

11 条评论

Jason Green 的头像
Jason Green1 个月前

@GitHubCopilot Finally, some love for GitHub Copilot in Air. Now let's see some LSP support.

JetBrains Air 的头像
JetBrains Air1 个月前

@GitHubCopilot It's there already :-) If you write code in Java/Kotlin, enjoy the code navigation, symbol search, and inline error highlighting.

Sebastian Buzdugan 的头像
Sebastian Buzdugan1 个月前

@GitHubCopilot does air sandbox copilot by default, or can one bad prompt cross workspace boundaries

Axel.jsx 的头像
Axel.jsx1 个月前

@github @GitHubCopilot Tendré que probarlo

chenyyi 的头像
chenyyi2 个月前

@GitHubCopilot "When using the Air tool, has anyone encountered an issue where executing Bash commands doesn't inherit/use my zsh environment variables, causing it to fail to find commands like Node or Python, as well as other environment variables?"

JetBrains Air 的头像
JetBrains Air2 个月前

@GitHubCopilot Do you execute Bash commands in the terminal or via agent? If you can share your logs and attach them here, that would help a lot: Air → Help → Diagnostic tools → Collect logs...

DiegoAlessandro 的头像
DiegoAlessandro2 个月前

@GitHubCopilot 動き遅すぎて使い物になりませんでした。 Grokと繋げました。

Mustafa 的头像
Mustafa1 个月前

@GitHubCopilot انا شخصيا اتمنى منيب تربح

bzrra 的头像
bzrra1 个月前

@GitHubCopilot @getsome_air antigravity when?

Mustafa 的头像
Mustafa1 个月前

@GitHubCopilot توة نفهمك وبن رايح رايح مكياطة حولها ملاعب سباحة ملاعب ركد بدل القهوة

Debanjan Dhar 的头像
Debanjan Dhar2 个月前

@GitHubCopilot does not support docker and setting reasoning levels when using acp (i was using opencode)

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

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105,758 次观看 • 1 年前