ACP

Agent Communication Protocol (ACP) is a standard for agent-to-agent communication, allowing different AI agents to interact regardless of how they’re built. This agent works with any ACP-compliant service.

Agent prerequisites

Agent Stack installed and running locally
BeeAI Framework installed with pip install beeai-framework
BeeAI Framework extension for ACP installed with pip install 'beeai-framework[acp]'

ACP Agent

When to use ACP instead of Agent Stack Integration?

You’re connecting to your own custom ACP server
You’re developing a multi-agent system where agents communicate via ACP
You’re integrating with a third-party ACP-compliant service that isn’t the Agent Stack

import asyncio
import sys
import traceback

from beeai_framework.adapters.acp.agents import ACPAgent
from beeai_framework.errors import FrameworkError
from beeai_framework.memory.unconstrained_memory import UnconstrainedMemory
from examples.helpers.io import ConsoleReader


async def main() -> None:
    reader = ConsoleReader()

    agent = ACPAgent(agent_name="chat", url="http://127.0.0.1:8001", memory=UnconstrainedMemory())
    for prompt in reader:
        # Run the agent and observe events
        response = await agent.run(prompt).on(
            "update",
            lambda data, event: (reader.write("Agent 🤖 (debug) : ", data)),
        )

        reader.write("Agent 🤖 : ", response.last_message.text)


if __name__ == "__main__":
    try:
        asyncio.run(main())
    except FrameworkError as e:
        traceback.print_exc()
        sys.exit(e.explain())

import "dotenv/config.js";
import { ACPAgent } from "beeai-framework/adapters/acp/agents/agent";
import { createConsoleReader } from "examples/helpers/io.js";
import { FrameworkError } from "beeai-framework/errors";
import { TokenMemory } from "beeai-framework/memory/tokenMemory";

const agentName = "chat";

const agent = new ACPAgent({
  url: "http://127.0.0.1:8000",
  agentName,
  memory: new TokenMemory(),
});

const reader = createConsoleReader();

try {
  for await (const { prompt } of reader) {
    const result = await agent.run({ input: prompt }).observe((emitter) => {
      emitter.on("update", (data) => {
        reader.write(`Agent (received progress) 🤖 : `, JSON.stringify(data.value, null, 2));
      });
      emitter.on("error", (data) => {
        reader.write(`Agent (error) 🤖 : `, data.message);
      });
    });

    reader.write(`Agent (${agentName}) 🤖 : `, result.result.text);
  }
} catch (error) {
  reader.write("Agent (error)  🤖", FrameworkError.ensure(error).dump());
}

The availability of ACP agents depends on the server you’re connecting to. You can check which agents are available by using the check_agent_exists method:

try:
  await agent.check_agent_exists()
  print("Agent exists and is available")
except AgentError as e:
  print(f"Agent not available: {e.message}")

try {
  await agent.checkAgentExists();
  console.log("Agent exists and is available");
} catch (e) {
  console.error(`Agent not available: ${e.message}`);
}

If you need to create your own ACP server with custom agents, BeeAI framework provides the AcpServer class.

ACP Server

Basic example:

Python

from beeai_framework.adapters.acp import ACPServer, ACPServerConfig
from beeai_framework.agents.requirement import RequirementAgent
from beeai_framework.backend import ChatModel
from beeai_framework.memory import UnconstrainedMemory
from beeai_framework.tools.search.duckduckgo import DuckDuckGoSearchTool
from beeai_framework.tools.weather import OpenMeteoTool


def main() -> None:
    llm = ChatModel.from_name("ollama:granite4:micro")
    agent = RequirementAgent(
        llm=llm,
        tools=[DuckDuckGoSearchTool(), OpenMeteoTool()],
        memory=UnconstrainedMemory(),
        # specify the agent's name and other metadata
        name="chat",
        description="A simple agent",
    )

    # Register the agent with the ACP server and run the HTTP server
    # For the ToolCallingAgent and ReActAgent, we don't need to specify ACPAgent factory method
    # because they are already registered in the ACPServer
    ACPServer(config=ACPServerConfig(port=8001)).register(agent, tags=["example"]).serve()


if __name__ == "__main__":
    main()

Custom agent example:

Python

import sys
import traceback
from collections.abc import AsyncGenerator
from typing import Unpack

import acp_sdk.models as acp_models
import acp_sdk.server.context as acp_context
import acp_sdk.server.types as acp_types

from beeai_framework.adapters.acp import ACPServer
from beeai_framework.adapters.acp.serve._utils import acp_msgs_to_framework_msgs
from beeai_framework.adapters.acp.serve.agent import ACPServerAgent
from beeai_framework.adapters.acp.serve.server import ACPServerMetadata, to_acp_agent_metadata
from beeai_framework.agents import AgentOptions, AgentOutput, BaseAgent
from beeai_framework.backend.message import AnyMessage, AssistantMessage, UserMessage
from beeai_framework.emitter.emitter import Emitter
from beeai_framework.errors import FrameworkError
from beeai_framework.memory import UnconstrainedMemory
from beeai_framework.memory.base_memory import BaseMemory
from beeai_framework.runnable import runnable_entry


# This is a simple echo agent that echoes back the last message it received.
class EchoAgent(BaseAgent):
    memory: BaseMemory

    def __init__(self, memory: BaseMemory) -> None:
        super().__init__()
        self.memory = memory

    def _create_emitter(self) -> Emitter:
        return Emitter.root().child(
            namespace=["agent", "custom"],
            creator=self,
        )

    @runnable_entry
    async def run(self, input: str | list[AnyMessage], /, **kwargs: Unpack[AgentOptions]) -> AgentOutput:
        assert self.memory is not None

        if isinstance(input, str):
            await self.memory.add(UserMessage(input))
        elif isinstance(input, list):
            await self.memory.add_many(input)

        text_input = self.memory.messages[-1].text if self.memory.messages else ""
        return AgentOutput(output=[AssistantMessage(text_input)])


def main() -> None:
    # Create a custom agent factory for the EchoAgent
    def agent_factory(agent: EchoAgent, *, metadata: ACPServerMetadata | None = None) -> ACPServerAgent:
        """Factory method to create an ACPAgent from a EchoAgent."""
        if metadata is None:
            metadata = {}

        async def run(
            input: list[acp_models.Message], context: acp_context.Context
        ) -> AsyncGenerator[acp_types.RunYield, acp_types.RunYieldResume]:
            framework_messages = acp_msgs_to_framework_msgs(input)
            response = await agent.run(framework_messages)
            yield acp_models.MessagePart(content=response.last_message.text, role="assistant")  # type: ignore[call-arg]

        # Create an ACPAgent instance with the run function
        return ACPServerAgent(
            fn=run,
            name=metadata.get("name", agent.meta.name),
            description=metadata.get("description", agent.meta.description),
            metadata=to_acp_agent_metadata(metadata),
        )

    # Register the custom agent factory with the ACP server
    # pyrefly: ignore [bad-argument-type]
    ACPServer.register_factory(EchoAgent, agent_factory)
    # Create an instance of the EchoAgent with UnconstrainedMemory
    agent = EchoAgent(memory=UnconstrainedMemory())
    # Register the agent with the ACP server and run the HTTP server
    ACPServer().register(agent, name="echo_agent").serve()


if __name__ == "__main__":
    try:
        main()
    except FrameworkError as e:
        traceback.print_exc()
        sys.exit(e.explain())

# run: beeai agent run echo_agent "Hello"

Source: python/examples/serve/acp_with_custom_agent.py

Introduction

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Agent prerequisites

ACP Agent

ACP Server

​Agent prerequisites

​ACP Agent

​ACP Server

Agent prerequisites

ACP Agent

ACP Server