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Ejemplos

Esta pagina proporciona ejemplos de codigo listos para usar para patrones comunes de integracion con ACP.

Requisitos previos​

Todos los ejemplos en esta pagina han sido verificados con el siguiente entorno:

DependenciaVersionProposito
Python3.10Usa tipado moderno (uniones |, sentencias match/case)
agent-client-protocol0.9.0SDK oficial de Python para ACP (importado como acp)
httpx0.28.1Cliente HTTP asincrono usado por el ejemplo HTTP+SSE
iac-coderepositorio actualProporciona el subcomando iac-code acp usado por spawn_agent_process

Instala las dependencias del lado del cliente con uv:

# Create a Python 3.10 virtualenv managed by uv
uv venv --python 3.10
source .venv/bin/activate

# Install the pinned client-side dependencies into that venv
uv pip install "agent-client-protocol==0.9.0" "httpx>=0.28.1"
Advertencia

AllowedOutcome.outcome y DeniedOutcome.outcome estan tipados como Literal['selected'] y Literal['cancelled'] respectivamente desde la version 0.9.0 del SDK. Usar cualquier otra cadena generara un pydantic.ValidationError en el momento de la construccion.


SDK de Python — Ciclo de vida completo de sesion​

Un ejemplo completo usando el SDK de Python agent-client-protocol:

"""Full iac-code ACP session lifecycle."""

import asyncio
from typing import Any

import acp
import acp.schema


class MyClient(acp.Client):
"""ACP client with streaming output."""

async def session_update(
self,
session_id: str,
update: (
acp.schema.AgentMessageChunk
| acp.schema.AgentThoughtChunk
| acp.schema.ToolCallStart
| acp.schema.ToolCallProgress
| Any
),
**kwargs: Any,
) -> None:
match update:
case acp.schema.AgentThoughtChunk():
print(f"[thought] {update.content.text}", end="", flush=True)
case acp.schema.AgentMessageChunk():
print(f"{update.content.text}", end="", flush=True)
case acp.schema.ToolCallStart():
print(f"\n[tool] {update.title} (kind={update.kind})")
case acp.schema.ToolCallProgress():
status = update.status
print(f"[tool] {update.tool_call_id} → {status}")

async def request_permission(
self, options, session_id, tool_call, **kwargs
) -> acp.RequestPermissionResponse:
# Auto-approve for demonstration (use interactive approval in production)
return acp.RequestPermissionResponse(
outcome=acp.schema.AllowedOutcome(
outcome="selected", option_id="allow_once"
)
)


async def main():
async with acp.spawn_agent_process(MyClient(), "iac-code", "acp") as (conn, _):
# 1. Initialize
resp = await conn.initialize(
protocol_version=1,
client_info=acp.schema.Implementation(name="demo", version="1.0"),
)
print(f"Connected to {resp.agent_info.name} v{resp.agent_info.version}")

# 2. Create session
session = await conn.new_session(cwd="/path/to/project")
sid = session.session_id
# `models` is typed as Optional in the schema — guard against agents that don't report it.
current_model = session.models.current_model_id if session.models else "<unknown>"
print(f"Session: {sid}, model: {current_model}")

# 3. Send prompt
result = await conn.prompt(
session_id=sid,
prompt=[
acp.schema.TextContentBlock(
type="text",
text="Create a VPC with two subnets using a ROS template",
)
],
)
print(f"\nDone — stop_reason={result.stop_reason}")

# 4. Close session
await conn.close_session(session_id=sid)


if __name__ == "__main__":
asyncio.run(main())

SDK de Python — Manejo de permisos​

Implementa la aprobacion interactiva de permisos:

import acp
import acp.schema


class InteractiveClient(acp.Client):
async def session_update(self, session_id, update, **kwargs):
if isinstance(update, acp.schema.AgentMessageChunk):
print(update.content.text, end="", flush=True)

async def request_permission(
self, options, session_id, tool_call, **kwargs
) -> acp.RequestPermissionResponse:
print(f"\n⚠️ Permission request: {tool_call.title}")
print(f" Tool kind: {tool_call.kind}")

# Show available options
for opt in options:
print(f" [{opt.option_id}] {opt.name}")

choice = input("Choose (allow_once/reject_once): ").strip()

if choice.startswith("allow"):
return acp.RequestPermissionResponse(
outcome=acp.schema.AllowedOutcome(
outcome="selected",
option_id=choice,
)
)
else:
return acp.RequestPermissionResponse(
outcome=acp.schema.DeniedOutcome(outcome="cancelled")
)
Consejo

Usa InteractiveClient de la misma manera que MyClient arriba — pasa una instancia a spawn_agent_process, no la clase:

async with acp.spawn_agent_process(InteractiveClient(), "iac-code", "acp") as (conn, _):
...

Pasar la clase directamente genera TypeError: __init__() takes exactly one argument porque acp.Client es un typing.Protocol cuyo __init__ predeterminado rechaza argumentos posicionales.

Estrategias de permisos por entorno:

EntornoEstrategia
DesarrolloPermitir todo automaticamente
ProduccionAprobacion interactiva para herramientas de escritura/ejecucion
CI/CDPermitir solo lectura, denegar escritura/ejecucion

SDK de Python — Eventos en streaming​

Procesa diferentes tipos de eventos con manejo detallado:

import acp
import acp.schema


class StreamingClient(acp.Client):
def __init__(self):
self.tool_calls: dict[str, str] = {} # tool_call_id → title

async def session_update(self, session_id, update, **kwargs):
match update:
case acp.schema.AgentThoughtChunk():
# Model's internal reasoning (dimmed in UI typically)
print(f" 💭 {update.content.text}", end="", flush=True)

case acp.schema.AgentMessageChunk():
# Final response text shown to user
print(update.content.text, end="", flush=True)

case acp.schema.ToolCallStart():
self.tool_calls[update.tool_call_id] = update.title
print(f"\n 🔧 [{update.kind}] {update.title}")

case acp.schema.ToolCallProgress():
title = self.tool_calls.get(update.tool_call_id, "unknown")
if update.status == "completed":
print(f" ✅ {title} completed")
elif update.status == "failed":
print(f" ❌ {title} failed")
if update.raw_output:
print(f" Error: {str(update.raw_output)[:200]}")
else:
print(f" ⏳ {title} in progress...")

case acp.schema.UsageUpdate():
# UsageUpdate reports context-window usage in tokens.
# Fields: used (current context tokens), size (total window), cost (optional).
print(f"\n 📊 Context: {update.used}/{update.size} tokens")

async def request_permission(self, options, session_id, tool_call, **kwargs):
return acp.RequestPermissionResponse(
outcome=acp.schema.AllowedOutcome(
outcome="selected", option_id="allow_once"
)
)
Consejo

StreamingClient define __init__(self) sin argumentos para inicializar el estado interno. Al conectarlo, sigue pasando una instancia — spawn_agent_process(StreamingClient(), "iac-code", "acp") — nunca la clase directamente.


HTTP+SSE — Cliente minimo​

Para entornos donde no puedes usar el SDK de Python, conecta directamente via HTTP+SSE:

"""Minimal HTTP+SSE client using httpx."""

import asyncio
import httpx

BASE_URL = "http://127.0.0.1:8765"
HEADERS = {"Authorization": "Bearer YOUR_TOKEN"}


async def main():
async with httpx.AsyncClient(base_url=BASE_URL, timeout=30) as client:
# 1. Initialize — get connection ID
resp = await client.post("/acp", json={
"jsonrpc": "2.0", "id": 1,
"method": "initialize",
"params": {
"protocolVersion": 1,
"clientInfo": {"name": "http-client", "version": "1.0"},
"clientCapabilities": {}
}
}, headers=HEADERS)
resp.raise_for_status()
conn_id = resp.headers["Acp-Connection-Id"]
print(f"Connection ID: {conn_id}")

session_headers = {**HEADERS, "Acp-Connection-Id": conn_id}

# 2. Subscribe to SSE stream (background)
async def listen_sse():
async with client.stream("GET", "/acp", headers=session_headers) as stream:
async for line in stream.aiter_lines():
if line.startswith("data:"):
print(f"[SSE] {line[5:].strip()}")

sse_task = asyncio.create_task(listen_sse())

# 3. Create session (response arrives via SSE)
resp = await client.post("/acp", json={
"jsonrpc": "2.0", "id": 2,
"method": "session/new",
"params": {"cwd": "/workspace"}
}, headers=session_headers)
# Returns 202 Accepted; actual result delivered via SSE

await asyncio.sleep(2) # Wait for session creation

# 4. Send prompt
await client.post("/acp", json={
"jsonrpc": "2.0", "id": 3,
"method": "session/prompt",
"params": {
"sessionId": "<session-id-from-sse>",
"prompt": [{"type": "text", "text": "List files in current directory"}]
}
}, headers=session_headers)

await asyncio.sleep(10) # Wait for streaming response
sse_task.cancel()

# 5. Close connection
await client.request("DELETE", "/acp", headers=session_headers)
print("Connection closed")


if __name__ == "__main__":
asyncio.run(main())

Puntos clave:

  • POST /acp con method: "initialize" devuelve Acp-Connection-Id en los encabezados de respuesta
  • Todas las solicitudes posteriores deben incluir los encabezados Authorization y Acp-Connection-Id
  • POST /acp devuelve 202 Accepted; las respuestas reales se entregan a traves del flujo SSE
  • GET /acp abre el flujo SSE para recibir eventos enviados por el servidor
  • DELETE /acp cierra la conexion y libera los recursos del servidor

Patrones de gestion de sesiones​

Bifurcar para experimentar​

Crea una rama de una sesion existente para probar diferentes enfoques sin afectar la original:

async def fork_and_experiment(conn, original_session_id: str, cwd: str):
"""Fork a session to experiment without affecting the original."""
# Fork creates a copy with the same history
forked = await conn.fork_session(
session_id=original_session_id,
cwd=cwd,
)
forked_sid = forked.session_id
print(f"Forked session: {forked_sid}")

# Experiment on the fork
result = await conn.prompt(
session_id=forked_sid,
prompt=[acp.schema.TextContentBlock(
type="text",
text="Try an alternative approach: use Terraform instead of ROS",
)],
)

# Close fork when done (original session is unaffected)
await conn.close_session(session_id=forked_sid)
return result

Cargar y reanudar sesiones historicas​

Restaura una sesion anterior para continuar donde la dejaste:

async def resume_previous_session(conn, cwd: str):
"""List sessions and resume the most recent one."""
# List available sessions
listing = await conn.list_sessions(cwd=cwd)

if not listing.sessions:
print("No previous sessions found")
return None

# Resume the first session
target = listing.sessions[0]
print(f"Resuming session: {target.session_id}")

session = await conn.resume_session(
session_id=target.session_id,
cwd=cwd,
)
return session.session_id

Multi-sesion en paralelo​

Ejecuta multiples tareas independientes de forma concurrente:

async def parallel_tasks(conn, cwd: str, prompts: list[str]):
"""Run multiple prompts in parallel sessions."""
sessions = []

# Create sessions
for _ in prompts:
s = await conn.new_session(cwd=cwd)
sessions.append(s.session_id)

# Run prompts concurrently
tasks = [
conn.prompt(
session_id=sid,
prompt=[acp.schema.TextContentBlock(type="text", text=text)],
)
for sid, text in zip(sessions, prompts)
]
results = await asyncio.gather(*tasks)

# Cleanup
for sid in sessions:
await conn.close_session(session_id=sid)

return results


# Usage
# results = await parallel_tasks(conn, "/workspace", [
# "Create a VPC template",
# "Create a security group template",
# "Create an ECS instance template",
# ])
Advertencia

Cada sesion mantiene una conexion LLM. Ejecutar demasiadas sesiones en paralelo puede activar limites de tasa de la API.