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strukto-ai--mirage/python/mirage/agents/claude_agent_sdk/server.py
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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

182 lines
6.5 KiB
Python

# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
import shlex
from typing import Any
try:
from claude_agent_sdk import ToolAnnotations, create_sdk_mcp_server, tool
except ImportError as exc:
raise ImportError(
"`claude-agent-sdk` not installed. "
"Install with: pip install 'mirage-ai[claude-agent-sdk]'") from exc
from mirage import __version__
from mirage.agents.claude_agent_sdk.prompt import ( # yapf: disable
EDIT_DESCRIPTION, EXECUTE_DESCRIPTION, GREP_DESCRIPTION, LS_DESCRIPTION,
READ_DESCRIPTION, WRITE_DESCRIPTION)
from mirage.agents.io_text import io_to_str
from mirage.io.types import IOResult
from mirage.workspace.workspace import Workspace
def _text(text: str) -> dict[str, Any]:
return {"content": [{"type": "text", "text": text}]}
def _error(text: str) -> dict[str, Any]:
return {"content": [{"type": "text", "text": text}], "is_error": True}
def _io_to_result(io: IOResult) -> dict[str, Any]:
result = _text(io_to_str(io))
if io.exit_code != 0:
result["is_error"] = True
return result
class _MirageTools:
def __init__(self, workspace: Workspace) -> None:
self._ws = workspace
async def execute_command(self, args: dict[str, Any]) -> dict[str, Any]:
io = await self._ws.execute(args["command"])
return _io_to_result(io)
async def _ensure_parents(self, path: str) -> None:
parts = [p for p in path.split("/") if p]
ops = self._ws.ops
current = ""
for part in parts[:-1]:
current += "/" + part
try:
await ops.mkdir(current)
except FileExistsError:
continue
async def read(self, args: dict[str, Any]) -> dict[str, Any]:
path = args["path"]
offset = int(args.get("offset", 0))
limit = int(args.get("limit", 2000))
ops = self._ws.ops
try:
data = await ops.read(path)
except FileNotFoundError:
return _error(f"Error: file '{path}' not found")
except ValueError as exc:
return _error(f"Error: {exc}")
text = data.decode("utf-8", errors="replace")
lines = text.splitlines(keepends=True)
sliced = lines[offset:offset + limit]
numbered = [
f"{i + offset + 1:>6}\t{line}" for i, line in enumerate(sliced)
]
return _text("".join(numbered))
async def write(self, args: dict[str, Any]) -> dict[str, Any]:
path = args["path"]
content = args["content"]
ops = self._ws.ops
try:
await ops.stat(path)
except FileNotFoundError:
pass
else:
return _error(f"Error: file '{path}' already exists")
await self._ensure_parents(path)
data = content.encode("utf-8") if isinstance(content, str) else content
await ops.write(path, data)
return _text(f"Written: {path}")
async def edit(self, args: dict[str, Any]) -> dict[str, Any]:
path = args["path"]
old_string = args["old_string"]
new_string = args["new_string"]
replace_all = bool(args.get("replace_all", False))
ops = self._ws.ops
try:
data = await ops.read(path)
except FileNotFoundError:
return _error(f"Error: file '{path}' not found")
content = data.decode("utf-8", errors="replace")
count = content.count(old_string)
if count == 0:
return _error(f"Error: string not found in file: '{old_string}'")
if count > 1 and not replace_all:
return _error(
f"Error: string appears {count} times. Pass replace_all=true")
new_content = content.replace(
old_string, new_string) if replace_all else content.replace(
old_string, new_string, 1)
await ops.write(path, new_content.encode("utf-8"))
occurrences = count if replace_all else 1
return _text(f"Edited: {path} ({occurrences} occurrence(s))")
async def ls(self, args: dict[str, Any]) -> dict[str, Any]:
path = args["path"]
io = await self._ws.execute(f"ls {shlex.quote(path)}")
return _io_to_result(io)
async def grep(self, args: dict[str, Any]) -> dict[str, Any]:
pattern = args["pattern"]
path = args["path"]
io = await self._ws.execute(
f"grep -rn {shlex.quote(pattern)} {shlex.quote(path)}")
return _text(io_to_str(io))
def MirageServer(workspace: Workspace):
"""Create an in-process Mirage server for the Claude Agent SDK.
Args:
workspace (Workspace): The workspace to serve.
Returns:
An SDK server object to pass to ClaudeAgentOptions(mcp_servers=...).
"""
tools_impl = _MirageTools(workspace)
return create_sdk_mcp_server(
name="mirage",
version=__version__,
tools=[
tool("execute_command", EXECUTE_DESCRIPTION,
{"command": str})(tools_impl.execute_command),
tool("read",
READ_DESCRIPTION, {"path": str},
annotations=ToolAnnotations(readOnlyHint=True))(
tools_impl.read),
tool("write", WRITE_DESCRIPTION, {
"path": str,
"content": str
})(tools_impl.write),
tool("edit", EDIT_DESCRIPTION, {
"path": str,
"old_string": str,
"new_string": str
})(tools_impl.edit),
tool("ls",
LS_DESCRIPTION, {"path": str},
annotations=ToolAnnotations(readOnlyHint=True))(
tools_impl.ls),
tool("grep",
GREP_DESCRIPTION, {
"pattern": str,
"path": str
},
annotations=ToolAnnotations(readOnlyHint=True))(
tools_impl.grep),
],
)