codefromthecrypt

title
Rename ACP to IACP

Author(s): @nikomatsakis

Elevator pitch

Rename the Agent Client Protocol from "ACP" to "IACP" (Interoperable Agent Client Protocol) to avoid confusion with OpenAI's [Agentic Commerce Protocol][openai-acp], which launched in September 2025 with backing from Stripe, PayPal, and Salesforce.

codefromthecrypt

ACPs from 2025

These are all I found which include and go beyond https://agentclientprotocol.com/ as of 2025-12-31

SDKs

SDK	Language
[@agentclientprotocol/sdk][ts-npm]	TypeScript
[acpex][acpex-hex]	Elixir

codefromthecrypt

# Add OpenAI and OpenTelemetry ENV variables to .env and run like this:
#   uv run -q --env-file .env main.py
#
# Note: Use a larger model like qwen3b:14b, if you are hosting your own models.
#
# /// script
# requires-python = ">=3.13"
# dependencies = [
#     "openai-agents",
#     "elastic-opentelemetry",

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curl -s -X POST https://api.openai.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${OPENAI_API_KEY}" \
-d '{
    "input": [
        {
            "content": "Which language is this repo written in?",
            "role": "user"
        }
    ],

codefromthecrypt

# e.g. to run with ollama, do this:
# OPENAI_BASE_URL=http://localhost:11434/v1 OPENAI_API_KEY=unused CHAT_MODEL=qwen3:1.7b uv run a2a.py
#
# /// script
# requires-python = ">=3.13"
# dependencies = [
#     "a2a-sdk",
#     "uvicorn",
#     "openai",
#     "httpx"

codefromthecrypt

rename elasticsearch to elasticsearch_real and change its port to 9201 rename otel-collector to otel-collector_real and change its port to 4319

add this container with the below flow.py. Then make sure you are sending with javascript as python doesn't support OTEL_EXPORTER_OTLP_PROTOCOL=http/json yet.

then, you can do docker compose logs elasticsearch and see the POSTs.

  elasticsearch:
    image: mitmproxy/mitmproxy

codefromthecrypt

import os

import httpx
from google.adk.agents import Agent
from google.adk.models.lite_llm import LiteLlm
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.genai import types

# TODO: native openai https://github.com/google/adk-python/issues/27

codefromthecrypt

Source diagram of this LI post on goose https://www.linkedin.com/posts/adrianfcole_genai-opensource-activity-7315217199844003840-sX7Q

sequenceDiagram
    participant CLI as Goose CLI
    participant MCP as MCP Server (developer)
    participant LLM

    Note over CLI: User runs `goose run -t "list the files in this directory"`
    Note right of CLI: Forks own binary to start MCP server for "developer" via stdio

codefromthecrypt

import os

import httpx
import logfire
from agents import Agent, ModelSettings, OpenAIProvider, RunConfig, Runner, function_tool
from agents.tracing import GLOBAL_TRACE_PROVIDER

# Shut down the global tracer as it sends to the OpenAI "/traces/ingest"
# endpoint, which we aren't using and doesn't exist on alternative backends
# like Ollama.

codefromthecrypt

#!/bin/sh
set -e

# guess OS_TYPE if not provided
if [ -z "$OS_TYPE" ]; then
  case "$(uname -s | tr '[:upper:]' '[:lower:]')" in
    cygwin_nt*|mingw*|msys_nt*)
      OS_TYPE="windows"
      ;;
    linux*)