A Python implement of Agent Client Protocol (ACP, by Zed Industries)
Project description
Agent Client Protocol (Python)
Python SDK for the Agent Client Protocol (ACP). Build agents that speak ACP over stdio so tools like Zed can orchestrate them.
Each release tracks the matching ACP schema version. Contributions that improve coverage or tooling are very welcome.
Highlights
- Generated
pydanticmodels that track the upstream ACP schema (acp.schema) - Async base classes and JSON-RPC plumbing that keep stdio agents tiny
- Process helpers such as
spawn_agent_processfor embedding agents and clients directly in Python - Batteries-included examples that exercise streaming updates, file I/O, and permission flows
- Optional Gemini CLI bridge (
examples/gemini.py) for thegemini --experimental-acpintegration - Experimental contrib modules (
acp.contrib) that streamline session state, tool call tracking, and permission prompts
Install
pip install agent-client-protocol
# or with uv
uv add agent-client-protocol
Quickstart
- Install the package and point your ACP-capable client at the provided echo agent:
pip install agent-client-protocol python examples/echo_agent.py
- Wire it into your client (e.g. Zed → Agents panel) so stdio is connected; the SDK handles JSON-RPC framing and lifecycle messages.
Prefer a step-by-step walkthrough? Read the Quickstart guide or the hosted docs: https://psiace.github.io/agent-client-protocol-python/.
Launching from Python
Embed the agent inside another Python process without spawning your own pipes:
import asyncio
import sys
from pathlib import Path
from acp import spawn_agent_process, text_block
from acp.schema import InitializeRequest, NewSessionRequest, PromptRequest
async def main() -> None:
agent_script = Path("examples/echo_agent.py")
async with spawn_agent_process(lambda _agent: YourClient(), sys.executable, str(agent_script)) as (conn, _proc):
await conn.initialize(InitializeRequest(protocolVersion=1))
session = await conn.newSession(NewSessionRequest(cwd=str(agent_script.parent), mcpServers=[]))
await conn.prompt(
PromptRequest(
sessionId=session.sessionId,
prompt=[text_block("Hello!")],
)
)
asyncio.run(main())
spawn_client_process mirrors this pattern for the inverse direction.
Minimal agent sketch
import asyncio
from acp import (
Agent,
AgentSideConnection,
InitializeRequest,
InitializeResponse,
NewSessionRequest,
NewSessionResponse,
PromptRequest,
PromptResponse,
session_notification,
stdio_streams,
text_block,
update_agent_message,
)
class EchoAgent(Agent):
def __init__(self, conn):
self._conn = conn
async def initialize(self, params: InitializeRequest) -> InitializeResponse:
return InitializeResponse(protocolVersion=params.protocolVersion)
async def newSession(self, params: NewSessionRequest) -> NewSessionResponse:
return NewSessionResponse(sessionId="sess-1")
async def prompt(self, params: PromptRequest) -> PromptResponse:
for block in params.prompt:
text = block.get("text", "") if isinstance(block, dict) else getattr(block, "text", "")
await self._conn.sessionUpdate(
session_notification(
params.sessionId,
update_agent_message(text_block(text)),
)
)
return PromptResponse(stopReason="end_turn")
async def main() -> None:
reader, writer = await stdio_streams()
AgentSideConnection(lambda conn: EchoAgent(conn), writer, reader)
await asyncio.Event().wait()
if __name__ == "__main__":
asyncio.run(main())
Full example with streaming and lifecycle hooks lives in examples/echo_agent.py.
Examples
examples/echo_agent.py: the canonical streaming agent with lifecycle hooksexamples/client.py: interactive console client that can launch any ACP agent via stdioexamples/agent.py: richer agent showcasing initialization, authentication, and chunked updatesexamples/duet.py: launches both example agent and client usingspawn_agent_processexamples/gemini.py: connects to the Gemini CLI in--experimental-acpmode, with optional auto-approval and sandbox flags
Helper APIs
Use acp.helpers to build protocol payloads without manually shaping dictionaries:
from acp import (
start_read_tool_call,
text_block,
tool_content,
update_available_commands,
update_tool_call,
)
start = start_read_tool_call("call-1", "Inspect config", path="config.toml")
commands = update_available_commands([])
update = update_tool_call("call-1", status="completed", content=[tool_content(text_block("Done."))])
Helpers cover content blocks (text_block, resource_link_block), embedded resources, tool calls (start_edit_tool_call, update_tool_call), and session updates (update_agent_message_text, update_available_commands, update_current_mode, session_notification).
Contrib helpers
The experimental acp.contrib package captures patterns from reference integrations:
SessionAccumulator(acp.contrib.session_state) mergesSessionNotificationstreams into immutable snapshots for UI rendering.ToolCallTracker(acp.contrib.tool_calls) generates consistent tool call starts/updates and buffers streamed content.PermissionBroker(acp.contrib.permissions) wraps permission requests with sensible default option sets.
Read more in docs/contrib.md.
Documentation
- Project docs (MkDocs): https://psiace.github.io/agent-client-protocol-python/
- Local sources:
docs/
Gemini CLI bridge
Want to exercise the gemini CLI over ACP? The repository includes a Python replica of the Go SDK's REPL:
python examples/gemini.py --yolo # auto-approve permissions
python examples/gemini.py --sandbox --model gemini-2.5-pro
Defaults assume the CLI is discoverable via PATH; override with --gemini or ACP_GEMINI_BIN=/path/to/gemini.
The smoke test (tests/test_gemini_example.py) is opt-in to avoid false negatives when the CLI is unavailable or lacks credentials. Enable it locally with:
ACP_ENABLE_GEMINI_TESTS=1 ACP_GEMINI_BIN=/path/to/gemini uv run python -m pytest tests/test_gemini_example.py
The test gracefully skips when authentication prompts (e.g. missing GOOGLE_CLOUD_PROJECT) block the interaction.
Development workflow
make install # create uv virtualenv and install hooks
ACP_SCHEMA_VERSION=<ref> make gen-all # refresh generated schema bindings
make check # lint, types, dependency analysis
make test # run pytest + doctests
After local changes, consider updating docs/examples if the public API surface shifts.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file agent_client_protocol-0.6.3.tar.gz.
File metadata
- Download URL: agent_client_protocol-0.6.3.tar.gz
- Upload date:
- Size: 152.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea01a51d5b55864c606401694dad429d83c5bedb476807d81b8208031d6cf3d8
|
|
| MD5 |
fad1f28244bf3fef144d705a6899d536
|
|
| BLAKE2b-256 |
c6fe147187918c5ba695db537b3088c441bcace4ac9365fae532bf36b1494769
|
File details
Details for the file agent_client_protocol-0.6.3-py3-none-any.whl.
File metadata
- Download URL: agent_client_protocol-0.6.3-py3-none-any.whl
- Upload date:
- Size: 47.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
184264bd6988731613a49c9eb89d7ecd23c6afffe905c64f1b604a42a9b20aef
|
|
| MD5 |
cc50971d50ecc261b4dd7297cc76d500
|
|
| BLAKE2b-256 |
9c2e62d1770a489d3356cd75e19cd61583e7e411f1b00ab9859c73048621e4c2
|