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How to let an IDE or terminal AI drive your agent over ACP with Octop Harness

Expose your agent through the stdio ACP server so an external coding AI can invoke it.

Who it is forA developer who wants an IDE or terminal AI tool to call a custom agent built on Octop Harness.

The problemExternal AI tools cannot reach a custom agent unless it speaks a protocol they understand.

The outcomeAn external IDE or terminal AI sends requests to your agent through the ACP stdio server and receives replies.

What you need first

  • Python 3.12 or newer
  • An API key for at least one model provider (OpenAI, Anthropic, AWS Bedrock, or an OpenAI-compatible endpoint)

Steps

  1. Install Octop Harness and configure at least one model provider with its API key.
  2. Find the ACP stdio server entry point in the project docs, since the README names the server but not its start command. (inferred, check the README)
  3. Start the ACP stdio server for your configured agent. (inferred, check the README)
  4. Register the server in your IDE or terminal AI client as an ACP agent.
  5. Send a test request from the client and confirm the agent returns a reply.

Prompt for your agent

In the TencentCloud/octop-harness repo, find the ACP stdio server start command in the docs and start it for the agent <agent name>. Connect the client <client name> and send the request <request>. Verify the client receives a reply from the agent.

Caveat. The README mentions the stdio ACP server but does not show its start command or client configuration, so those steps need confirmation from the full docs.

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