diff --git a/backend/package/pyproject.toml b/backend/package/pyproject.toml
index ebfe3dcb..2c295c47 100644
--- a/backend/package/pyproject.toml
+++ b/backend/package/pyproject.toml
@@ -19,7 +19,7 @@ dependencies = [
"chardet>=5.0.0",
"colorlog>=6.9.0",
"dashscope>=1.23.2",
- "deepagents>=0.2.5",
+ "deepagents>=0.6.7",
"docling>=2.68.0",
"docx2txt>=0.9",
"httpx>=0.27.0",
diff --git a/backend/package/yuxi/agents/backends/__init__.py b/backend/package/yuxi/agents/backends/__init__.py
index 984ac368..31347818 100644
--- a/backend/package/yuxi/agents/backends/__init__.py
+++ b/backend/package/yuxi/agents/backends/__init__.py
@@ -1,6 +1,6 @@
from deepagents.backends import CompositeBackend, StateBackend
-from .composite import create_agent_composite_backend
+from .composite import create_agent_composite_backend, create_agent_filesystem_middleware
from .knowledge_base_backend import resolve_visible_knowledge_bases_for_context
from .sandbox import (
SKILLS_PATH,
@@ -27,6 +27,7 @@ __all__ = [
"StateBackend",
"SelectedSkillsReadonlyBackend",
"create_agent_composite_backend",
+ "create_agent_filesystem_middleware",
"ProvisionerSandboxBackend",
"ProvisionerSandboxProvider",
"SandboxConnection",
diff --git a/backend/package/yuxi/agents/backends/composite.py b/backend/package/yuxi/agents/backends/composite.py
index bb9a9977..f8b8e089 100644
--- a/backend/package/yuxi/agents/backends/composite.py
+++ b/backend/package/yuxi/agents/backends/composite.py
@@ -6,65 +6,86 @@ from deepagents.backends.composite import (
_route_for_path,
_strip_route_from_pattern,
)
-from deepagents.backends.protocol import FileInfo
+from deepagents.backends.protocol import FileInfo, GlobResult
+from deepagents.middleware.filesystem import FilesystemMiddleware
from yuxi.agents.skills.service import normalize_string_list
+from yuxi.utils.paths import VIRTUAL_PATH_CONVERSATION_HISTORY, VIRTUAL_PATH_LARGE_TOOL_RESULTS, VIRTUAL_PATH_OUTPUTS
from .sandbox import ProvisionerSandboxBackend
from .skills_backend import SelectedSkillsReadonlyBackend
+def _coerce_glob_result(result) -> GlobResult:
+ if isinstance(result, GlobResult):
+ return result
+ return GlobResult(matches=result or [])
+
+
class CustomCompositeBackend(CompositeBackend):
- """修复 glob_info 路由逻辑的 CompositeBackend。
+ """修复 glob 路由逻辑的 CompositeBackend。
修复内容：当 path 不匹配任何路由时应该只搜索 default 后端，
而不是错误地遍历所有路由后端搜索。
"""
- def glob_info(self, pattern: str, path: str = "/") -> list[FileInfo]:
+ def glob(self, pattern: str, path: str = "/") -> GlobResult:
backend, backend_path, route_prefix = _route_for_path(
default=self.default,
sorted_routes=self.sorted_routes,
path=path,
)
if route_prefix is not None:
- infos = backend.glob_info(pattern, backend_path)
- return [_remap_file_info_path(fi, route_prefix) for fi in infos]
+ result = _coerce_glob_result(backend.glob(pattern, backend_path))
+ if result.error:
+ return result
+ return GlobResult(matches=[_remap_file_info_path(fi, route_prefix) for fi in (result.matches or [])])
- # 只在 path 为 None 或 "/" 时搜索所有后端，其他只搜索 default
if path is None or path == "/":
results: list[FileInfo] = []
- results.extend(self.default.glob_info(pattern, path))
+ default_result = _coerce_glob_result(self.default.glob(pattern, path))
+ if default_result.error:
+ return default_result
+ results.extend(default_result.matches or [])
for route_prefix, backend in self.routes.items():
route_pattern = _strip_route_from_pattern(pattern, route_prefix)
- infos = backend.glob_info(route_pattern, "/")
- results.extend(_remap_file_info_path(fi, route_prefix) for fi in infos)
+ result = _coerce_glob_result(backend.glob(route_pattern, "/"))
+ if result.error:
+ return result
+ results.extend(_remap_file_info_path(fi, route_prefix) for fi in (result.matches or []))
results.sort(key=lambda x: x.get("path", ""))
- return results
+ return GlobResult(matches=results)
- return self.default.glob_info(pattern, path)
+ return _coerce_glob_result(self.default.glob(pattern, path))
- async def aglob_info(self, pattern: str, path: str = "/") -> list[FileInfo]:
+ async def aglob(self, pattern: str, path: str = "/") -> GlobResult:
backend, backend_path, route_prefix = _route_for_path(
default=self.default,
sorted_routes=self.sorted_routes,
path=path,
)
if route_prefix is not None:
- infos = await backend.aglob_info(pattern, backend_path)
- return [_remap_file_info_path(fi, route_prefix) for fi in infos]
+ result = _coerce_glob_result(await backend.aglob(pattern, backend_path))
+ if result.error:
+ return result
+ return GlobResult(matches=[_remap_file_info_path(fi, route_prefix) for fi in (result.matches or [])])
if path is None or path == "/":
results: list[FileInfo] = []
- results.extend(await self.default.aglob_info(pattern, path))
+ default_result = _coerce_glob_result(await self.default.aglob(pattern, path))
+ if default_result.error:
+ return default_result
+ results.extend(default_result.matches or [])
for route_prefix, backend in self.routes.items():
route_pattern = _strip_route_from_pattern(pattern, route_prefix)
- infos = await backend.aglob_info(route_pattern, "/")
- results.extend(_remap_file_info_path(fi, route_prefix) for fi in infos)
+ result = _coerce_glob_result(await backend.aglob(route_pattern, "/"))
+ if result.error:
+ return result
+ results.extend(_remap_file_info_path(fi, route_prefix) for fi in (result.matches or []))
results.sort(key=lambda x: x.get("path", ""))
- return results
+ return GlobResult(matches=results)
- return await self.default.aglob_info(pattern, path)
+ return _coerce_glob_result(await self.default.aglob(pattern, path))
def _get_readable_skills_from_runtime(runtime) -> list[str]:
@@ -116,4 +137,15 @@ def create_agent_composite_backend(runtime) -> CompositeBackend:
routes={
"/skills/": SelectedSkillsReadonlyBackend(selected_slugs=readable_skills),
},
+ artifacts_root=VIRTUAL_PATH_OUTPUTS,
)
+
+
+def create_agent_filesystem_middleware(tool_token_limit_before_evict: int | None = None) -> FilesystemMiddleware:
+ middleware = FilesystemMiddleware(
+ backend=create_agent_composite_backend,
+ tool_token_limit_before_evict=tool_token_limit_before_evict,
+ )
+ middleware._large_tool_results_prefix = VIRTUAL_PATH_LARGE_TOOL_RESULTS
+ middleware._conversation_history_prefix = VIRTUAL_PATH_CONVERSATION_HISTORY
+ return middleware
diff --git a/backend/package/yuxi/agents/backends/sandbox/backend.py b/backend/package/yuxi/agents/backends/sandbox/backend.py
index 9e489dfd..debeac3d 100644
--- a/backend/package/yuxi/agents/backends/sandbox/backend.py
+++ b/backend/package/yuxi/agents/backends/sandbox/backend.py
@@ -11,7 +11,11 @@ from deepagents.backends.protocol import (
FileDownloadResponse,
FileInfo,
FileUploadResponse,
+ GlobResult,
GrepMatch,
+ GrepResult,
+ LsResult,
+ ReadResult,
WriteResult,
)
from deepagents.backends.sandbox import BaseSandbox
@@ -19,21 +23,106 @@ from deepagents.backends.sandbox import BaseSandbox
from yuxi import config as conf
from yuxi.agents.skills.service import sync_thread_readable_skills
from yuxi.utils.logging_config import logger
+from yuxi.utils.paths import (
+ OUTPUTS_DIR_NAME,
+ UPLOADS_DIR_NAME,
+ VIRTUAL_PATH_PREFIX,
+ VIRTUAL_SKILLS_PATH,
+ WORKSPACE_DIR_NAME,
+)
from .provider import get_sandbox_provider, sandbox_id_for_thread
+_USER_DATA_ROOT = "/" + VIRTUAL_PATH_PREFIX.strip("/")
+_WORKSPACE_ROOT = f"{_USER_DATA_ROOT}/{WORKSPACE_DIR_NAME}"
+_UPLOADS_ROOT = f"{_USER_DATA_ROOT}/{UPLOADS_DIR_NAME}"
+_OUTPUTS_ROOT = f"{_USER_DATA_ROOT}/{OUTPUTS_DIR_NAME}"
+_SKILLS_ROOT = "/" + VIRTUAL_SKILLS_PATH.strip("/")
+_READABLE_ROOTS = (_USER_DATA_ROOT, _SKILLS_ROOT)
+_WRITABLE_ROOTS = (_WORKSPACE_ROOT, _OUTPUTS_ROOT)
+
+
def _normalize_path(path: str) -> str:
raw = str(path or "").strip()
if not raw:
raise ValueError("path is required")
- normalized = "/" + raw.lstrip("/")
- pure = PurePosixPath(normalized)
+ if not raw.startswith("/"):
+ raise ValueError("path must start with /")
+ pure = PurePosixPath(raw)
if ".." in pure.parts:
raise ValueError("path traversal is not allowed")
return str(pure)
+def _is_same_or_child(path: str, root: str) -> bool:
+ root = root.rstrip("/") or "/"
+ if root == "/":
+ return path == "/" or path.startswith("/")
+ return path == root or path.startswith(f"{root}/")
+
+
+def _path_overlaps_root(path: str, root: str) -> bool:
+ return _is_same_or_child(path, root) or _is_same_or_child(root, path)
+
+
+def _can_read_path(path: str) -> bool:
+ return any(_is_same_or_child(path, root) for root in _READABLE_ROOTS)
+
+
+def _can_list_path(path: str) -> bool:
+ return any(_path_overlaps_root(path, root) for root in _READABLE_ROOTS)
+
+
+def _can_write_path(path: str) -> bool:
+ return any(_is_same_or_child(path, root) for root in _WRITABLE_ROOTS)
+
+
+def _readable_search_paths(path: str) -> list[str]:
+ if _can_read_path(path):
+ return [path]
+ return [root for root in _READABLE_ROOTS if _is_same_or_child(root, path)]
+
+
+def _glob_for_search_root(pattern: str, root: str) -> str:
+ bare_pattern = str(pattern or "*").lstrip("/")
+ bare_root = root.strip("/")
+ if bare_pattern == bare_root:
+ return "*"
+ root_prefix = f"{bare_root}/"
+ if bare_pattern.startswith(root_prefix):
+ return bare_pattern[len(root_prefix) :] or "*"
+ return pattern
+
+
+def _filter_readable_infos(infos: list[FileInfo]) -> list[FileInfo]:
+ result: list[FileInfo] = []
+ for info in infos:
+ try:
+ path = _normalize_path(info.get("path", ""))
+ except ValueError:
+ continue
+ if _can_list_path(path):
+ result.append(info)
+ return result
+
+
+def _filter_readable_matches(matches: list[GrepMatch]) -> list[GrepMatch]:
+ result: list[GrepMatch] = []
+ for match in matches:
+ try:
+ path = _normalize_path(match.get("path", ""))
+ except ValueError:
+ continue
+ if _can_read_path(path):
+ result.append(match)
+ return result
+
+
+def _permission_error(operation: str, path: str) -> str:
+ return f"permission denied for {operation} on '{path}'"
+
+
def _describe_read_error(file_path: str, exc: Exception) -> str:
if isinstance(exc, FileNotFoundError):
return f"Error: File '{file_path}' not found"
@@ -111,8 +200,8 @@ class ProvisionerSandboxBackend(BaseSandbox):
This helper is the single normalization point used by read(), edit(), and
download_files() so all read paths share the same transport semantics.
"""
- start_line = max(0, int(offset)) if offset else None
- end_line = (start_line + int(limit)) if limit and start_line is not None else None
+ start_line = max(0, int(offset))
+ end_line = start_line + int(limit) if limit is not None else None
result = self._get_client().file.read_file(
file=path,
@@ -138,35 +227,27 @@ class ProvisionerSandboxBackend(BaseSandbox):
file_path: str,
offset: int = 0,
limit: int = 2000,
- ) -> str:
- """Read file content via the sandbox file API and render a text view.
-
- This stays on top of _read_binary() so the backend has one consistent
- read path for base64 transport, raw bytes, and text-like responses.
- """
+ ) -> ReadResult:
+ """Read allowed file content via the sandbox file API."""
try:
normalized_path = _normalize_path(file_path)
except Exception as exc: # noqa: BLE001
- return _describe_read_error(file_path, exc)
- start = max(0, int(offset))
+ return ReadResult(error=f"Invalid path '{file_path}': {exc}")
+ if not _can_read_path(normalized_path):
+ return ReadResult(error=_permission_error("read", normalized_path))
try:
content = self._read_binary(normalized_path, offset=offset, limit=limit)
+ if _looks_like_binary(content):
+ content = self._read_binary(normalized_path)
except Exception as exc: # noqa: BLE001
- return _describe_read_error(file_path, exc)
-
- if not content:
- return "System reminder: File exists but has empty contents"
+ error = _describe_read_error(file_path, exc)
+ return ReadResult(error=error.removeprefix("Error: "))
if _looks_like_binary(content):
- return f"Error: File '{file_path}' is binary and cannot be rendered as text"
+ return ReadResult(file_data={"content": base64.b64encode(content).decode("ascii"), "encoding": "base64"})
- text = content.decode("utf-8")
- if not text:
- return ""
-
- lines = text.splitlines()
- return "\n".join(f"{start + idx + 1:6d}\t{line}" for idx, line in enumerate(lines))
+ return ReadResult(file_data={"content": content.decode("utf-8"), "encoding": "utf-8"})
def execute(self, command: str, *, timeout: int | None = None) -> ExecuteResponse:
"""Execute a shell command in the sandbox.
@@ -198,13 +279,19 @@ class ProvisionerSandboxBackend(BaseSandbox):
logger.error(f"Sandbox execute failed for thread {self._thread_id}: {exc}")
return ExecuteResponse(output=f"Error: {exc}", exit_code=1, truncated=False)
- def ls_info(self, path: str) -> list[FileInfo]:
- """List direct children of a sandbox path with lightweight metadata."""
- normalized_path = _normalize_path(path)
+ def ls(self, path: str) -> LsResult:
+ """List direct children of an allowed sandbox path with lightweight metadata."""
+ try:
+ normalized_path = _normalize_path(path)
+ except Exception as exc: # noqa: BLE001
+ return LsResult(error=f"Invalid path '{path}': {exc}")
+ if not _can_list_path(normalized_path):
+ return LsResult(error=_permission_error("read", normalized_path))
+
try:
result = self._get_client().file.list_path(path=normalized_path, recursive=False, include_size=True)
- except Exception: # noqa: BLE001
- return []
+ except Exception as exc: # noqa: BLE001
+ return LsResult(error=str(exc) or f"Failed to list '{path}'")
entries = result.data.files or []
infos: list[FileInfo] = []
@@ -225,7 +312,7 @@ class ProvisionerSandboxBackend(BaseSandbox):
elif isinstance(modified_time, (int, float)):
info["modified_at"] = datetime.fromtimestamp(modified_time).isoformat()
infos.append(info)
- return infos
+ return LsResult(entries=_filter_readable_infos(infos))
def write(self, file_path: str, content: str) -> WriteResult:
"""Write a new text file.
@@ -233,7 +320,12 @@ class ProvisionerSandboxBackend(BaseSandbox):
This method is intentionally text-only. Binary payloads should go through
upload_files(), which uses base64 encoding for the sandbox file API.
"""
- normalized_path = _normalize_path(file_path)
+ try:
+ normalized_path = _normalize_path(file_path)
+ except Exception as exc: # noqa: BLE001
+ return WriteResult(error=f"Error: Invalid path '{file_path}': {exc}")
+ if not _can_write_path(normalized_path):
+ return WriteResult(error=f"Error: {_permission_error('write', normalized_path)}")
if not isinstance(content, str):
return WriteResult(error="Error: write() only supports text content; use upload_files() for binary data")
try:
@@ -250,7 +342,7 @@ class ProvisionerSandboxBackend(BaseSandbox):
except Exception as exc: # noqa: BLE001
return WriteResult(error=str(exc) or f"Failed to write file '{file_path}'")
- return WriteResult(path=normalized_path, files_update=None)
+ return WriteResult(path=normalized_path)
def edit(
self,
@@ -264,7 +356,12 @@ class ProvisionerSandboxBackend(BaseSandbox):
This method operates on UTF-8-decoded text content only. Binary files
are not supported here and should be handled via download/upload flows.
"""
- normalized_path = _normalize_path(file_path)
+ try:
+ normalized_path = _normalize_path(file_path)
+ except Exception as exc: # noqa: BLE001
+ return EditResult(error=f"Error: Invalid path '{file_path}': {exc}")
+ if not _can_write_path(normalized_path):
+ return EditResult(error=f"Error: {_permission_error('write', normalized_path)}")
# Check if old_string exists
try:
@@ -298,44 +395,59 @@ class ProvisionerSandboxBackend(BaseSandbox):
except Exception as exc: # noqa: BLE001
return EditResult(error=f"Error editing file: {exc}")
- return EditResult(path=normalized_path, files_update=None, occurrences=count if replace_all else 1)
+ return EditResult(path=normalized_path, occurrences=count if replace_all else 1)
- def grep_raw(
+ def grep(
self,
pattern: str,
path: str | None = None,
glob: str | None = None,
- ) -> list[GrepMatch] | str:
- """Search file contents under a path and return raw line matches.
-
- The sandbox file API is used directly with fixed-string matching and an
- optional include glob.
- """
- search_path = _normalize_path(path or "/")
-
+ ) -> GrepResult:
+ """Search allowed sandbox paths for literal text."""
try:
- return super().grep_raw(pattern=pattern, path=search_path, glob=glob)
-
+ normalized_path = _normalize_path(path or "/")
except Exception as exc: # noqa: BLE001
- return str(exc)
+ return GrepResult(error=f"Invalid path '{path or '/'}': {exc}")
- def glob_info(self, pattern: str, path: str = "/") -> list[FileInfo]:
- """Return files matching a glob pattern with optional metadata."""
- normalized_path = _normalize_path(path)
+ search_paths = _readable_search_paths(normalized_path)
+ if not search_paths:
+ return GrepResult(error=_permission_error("read", normalized_path))
+ matches: list[GrepMatch] = []
+ for search_path in search_paths:
+ result = super().grep(pattern=pattern, path=search_path, glob=glob)
+ if result.error:
+ return result
+ matches.extend(result.matches or [])
+ return GrepResult(matches=_filter_readable_matches(matches))
+
+ def glob(self, pattern: str, path: str = "/") -> GlobResult:
+ """Return files matching a glob pattern under allowed sandbox paths."""
try:
- # return super().glob_info(pattern=pattern, path=path)
- result = self._get_client().file.find_files(
- path=normalized_path,
- glob=pattern,
- )
- except Exception: # noqa: BLE001
- return []
+ normalized_path = _normalize_path(path)
+ except Exception as exc: # noqa: BLE001
+ return GlobResult(error=f"Invalid path '{path}': {exc}")
+ if ".." in PurePosixPath(str(pattern or "")).parts:
+ return GlobResult(error="Invalid glob pattern: path traversal is not allowed")
+
+ search_paths = _readable_search_paths(normalized_path)
+ if not search_paths:
+ return GlobResult(error=_permission_error("read", normalized_path))
infos: list[FileInfo] = []
- for file_path in result.data.files or []:
- infos.append({"path": file_path})
- return infos
+ for search_path in search_paths:
+ try:
+ result = self._get_client().file.find_files(
+ path=search_path,
+ glob=_glob_for_search_root(pattern, search_path),
+ )
+ except Exception as exc: # noqa: BLE001
+ return GlobResult(error=str(exc) or f"Failed to glob '{path}'")
+ for file_path in result.data.files or []:
+ infos.append({"path": file_path})
+ infos = _filter_readable_infos(infos)
+ infos.sort(key=lambda item: item.get("path", ""))
+ return GlobResult(matches=infos)
def upload_files(self, files: list[tuple[str, bytes]]) -> list[FileUploadResponse]:
"""Upload binary or text file payloads via the sandbox file API.
@@ -347,6 +459,9 @@ class ProvisionerSandboxBackend(BaseSandbox):
for path, content in files:
try:
normalized_path = _normalize_path(path)
+ if not _can_write_path(normalized_path):
+ responses.append(FileUploadResponse(path=normalized_path, error="permission_denied"))
+ continue
result = self._get_client().file.write_file(
file=normalized_path,
content=base64.b64encode(content).decode("ascii"),
@@ -380,6 +495,11 @@ class ProvisionerSandboxBackend(BaseSandbox):
for path in paths:
try:
normalized_path = _normalize_path(path)
+ if not _can_read_path(normalized_path):
+ responses.append(
+ FileDownloadResponse(path=normalized_path, content=None, error="permission_denied")
+ )
+ continue
content = self._read_binary(normalized_path)
responses.append(FileDownloadResponse(path=normalized_path, content=content, error=None))
except PermissionError:
diff --git a/backend/package/yuxi/agents/backends/skills_backend.py b/backend/package/yuxi/agents/backends/skills_backend.py
index 832fb396..801ee44f 100644
--- a/backend/package/yuxi/agents/backends/skills_backend.py
+++ b/backend/package/yuxi/agents/backends/skills_backend.py
@@ -1,10 +1,20 @@
from __future__ import annotations
from pathlib import PurePosixPath
-from typing import Any
from deepagents.backends import FilesystemBackend
-from deepagents.backends.protocol import EditResult, FileDownloadResponse, FileInfo, FileUploadResponse, WriteResult
+from deepagents.backends.protocol import (
+ EditResult,
+ FileDownloadResponse,
+ FileInfo,
+ FileUploadResponse,
+ GlobResult,
+ GrepMatch,
+ GrepResult,
+ LsResult,
+ ReadResult,
+ WriteResult,
+)
from yuxi.agents.skills.service import get_skills_root_dir, is_valid_skill_slug
@@ -40,53 +50,62 @@ class SelectedSkillsReadonlyBackend(FilesystemBackend):
slug = self._extract_slug(file_path)
return slug is not None and slug in self._selected_slugs
- def ls_info(self, path: str) -> list[FileInfo]:
+ def _filter_infos(self, infos: list[FileInfo]) -> list[FileInfo]:
+ return [item for item in infos if self._extract_slug(item.get("path", "")) in self._selected_slugs]
+
+ def _filter_matches(self, matches: list[GrepMatch]) -> list[GrepMatch]:
+ return [item for item in matches if self._extract_slug(item.get("path", "")) in self._selected_slugs]
+
+ def ls(self, path: str) -> LsResult:
if not self._selected_slugs:
- return []
+ return LsResult(entries=[])
normalized = (path or "/").strip() or "/"
if not self._is_allowed_path(normalized):
- return []
+ return LsResult(error="Access denied: path is outside selected skills.")
- infos = super().ls_info(normalized)
- if normalized == "/":
- result = []
- for item in infos:
- slug = self._extract_slug(item.get("path", ""))
- if slug in self._selected_slugs:
- result.append(item)
+ result = super().ls(normalized)
+ if result.error:
return result
- return infos
+ infos = result.entries or []
+ if normalized == "/":
+ infos = self._filter_infos(infos)
+ return LsResult(entries=infos)
- def read(self, file_path: str, offset: int = 0, limit: int = 2000) -> str:
+ def read(self, file_path: str, offset: int = 0, limit: int = 2000) -> ReadResult:
if not self._is_allowed_file(file_path):
- return "Access denied: file is outside selected skills."
+ return ReadResult(error="Access denied: file is outside selected skills.")
return super().read(file_path, offset=offset, limit=limit)
- def grep_raw(self, pattern: str, path: str | None = None, glob: str | None = None) -> list[dict] | str:
+ def grep(self, pattern: str, path: str | None = None, glob: str | None = None) -> GrepResult:
if not self._selected_slugs:
- return []
+ return GrepResult(matches=[])
if path is not None:
if not self._is_allowed_path(path):
- return "Access denied: path is outside selected skills."
- return super().grep_raw(pattern=pattern, path=path, glob=glob)
+ return GrepResult(error="Access denied: path is outside selected skills.")
+ result = super().grep(pattern=pattern, path=path, glob=glob)
+ if result.error:
+ return result
+ return GrepResult(matches=self._filter_matches(result.matches or []))
- matches: list[dict[str, Any]] = []
+ matches: list[GrepMatch] = []
for slug in sorted(self._selected_slugs):
- result = super().grep_raw(pattern=pattern, path=f"/{slug}", glob=glob)
- if isinstance(result, str):
+ result = super().grep(pattern=pattern, path=f"/{slug}", glob=glob)
+ if result.error:
continue
- matches.extend(result)
- return matches
+ matches.extend(result.matches or [])
+ return GrepResult(matches=matches)
- def glob_info(self, pattern: str, path: str = "/") -> list[FileInfo]:
+ def glob(self, pattern: str, path: str = "/") -> GlobResult:
if not self._selected_slugs:
- return []
+ return GlobResult(matches=[])
if not self._is_allowed_path(path):
- return []
- infos = super().glob_info(pattern=pattern, path=path)
- return [item for item in infos if self._extract_slug(item.get("path", "")) in self._selected_slugs]
+ return GlobResult(error="Access denied: path is outside selected skills.")
+ result = super().glob(pattern=pattern, path=path)
+ if result.error:
+ return result
+ return GlobResult(matches=self._filter_infos(result.matches or []))
def write(self, file_path: str, content: str) -> WriteResult:
return WriteResult(error="Skills path is read-only.")
diff --git a/backend/package/yuxi/agents/buildin/chatbot/graph.py b/backend/package/yuxi/agents/buildin/chatbot/graph.py
index 67cb9416..220c0c88 100644
--- a/backend/package/yuxi/agents/buildin/chatbot/graph.py
+++ b/backend/package/yuxi/agents/buildin/chatbot/graph.py
@@ -1,19 +1,18 @@
-from deepagents.middleware.filesystem import FilesystemMiddleware
from deepagents.middleware.patch_tool_calls import PatchToolCallsMiddleware
from deepagents.middleware.subagents import SubAgentMiddleware
from langchain.agents import create_agent
from langchain.agents.middleware import ModelRetryMiddleware, TodoListMiddleware
from yuxi.agents import BaseAgent, BaseState, load_chat_model
-from yuxi.agents.backends import create_agent_composite_backend
+from yuxi.agents.backends import create_agent_composite_backend, create_agent_filesystem_middleware
from yuxi.agents.context import prepare_agent_runtime_context
from yuxi.agents.middlewares import (
- SummaryOffloadMiddleware,
+ create_summary_middleware,
save_attachments_to_fs,
)
from yuxi.agents.middlewares.knowledge_base_middleware import KnowledgeBaseMiddleware
from yuxi.agents.middlewares.skills_middleware import SkillsMiddleware
-from yuxi.agents.subagents.service import get_subagents_from_slugs
+from yuxi.agents.subagents.service import build_subagent_middleware_specs, get_subagents_from_slugs
from yuxi.agents.toolkits.service import resolve_configured_runtime_tools
from .prompt import TODO_MID_PROMPT, build_prompt_with_context
@@ -22,30 +21,35 @@ from .prompt import TODO_MID_PROMPT, build_prompt_with_context
async def _build_middlewares(context):
"""构建中间件列表"""
# summary middleware
- # 主 Agent 上下文优化：90k tokens 触发压缩（128k context window 的 70%）
- summary_middleware = SummaryOffloadMiddleware(
+ # 主 Agent 上下文优化：默认 100k tokens 触发压缩，保留最近 50%
+ summary_trigger_tokens = getattr(context, "summary_threshold", 100) * 1024
+ summary_middleware = create_summary_middleware(
model=load_chat_model(fully_specified_name=context.model),
- trigger=("tokens", getattr(context, "summary_threshold", 100) * 1024),
+ trigger=("tokens", summary_trigger_tokens),
+ keep=("tokens", summary_trigger_tokens // 2),
trim_tokens_to_summarize=4000,
- summary_offload_threshold=500,
- max_retention_ratio=0.5,
)
# subagents
subagents = await get_subagents_from_slugs(context.subagents)
+ default_subagent_middleware = [
+ create_agent_filesystem_middleware(tool_token_limit_before_evict=500), # 文件系统后端
+ PatchToolCallsMiddleware(),
+ summary_middleware,
+ ]
subagents_middleware = SubAgentMiddleware(
- default_model=load_chat_model(fully_specified_name=context.subagents_model),
- subagents=subagents,
- general_purpose_agent=True,
- default_middleware=[
- FilesystemMiddleware(backend=create_agent_composite_backend), # 文件系统后端
- PatchToolCallsMiddleware(),
- summary_middleware,
- ],
+ backend=create_agent_composite_backend,
+ subagents=build_subagent_middleware_specs(
+ subagents,
+ default_model=load_chat_model(fully_specified_name=context.subagents_model),
+ default_middleware=default_subagent_middleware,
+ model_loader=load_chat_model,
+ ),
+ state_schema=BaseState,
)
# all middlewares
middlewares = [
- FilesystemMiddleware(backend=create_agent_composite_backend), # 文件系统后端
+ create_agent_filesystem_middleware(tool_token_limit_before_evict=500), # 文件系统后端
save_attachments_to_fs, # 附件注入提示词
KnowledgeBaseMiddleware(), # 知识库工具
SkillsMiddleware(), # Skills 中间件（提示词注入、依赖展开、动态激活）
@@ -63,6 +67,7 @@ class ChatbotAgent(BaseAgent):
name = "智能助手"
description = "基础的对话机器人，可以回答问题，可在配置中启用需要的工具。"
capabilities = ["file_upload", "files"] # 支持文件上传功能
+
def __init__(self, **kwargs):
super().__init__(**kwargs)
diff --git a/backend/package/yuxi/agents/buildin/deep_agent/graph.py b/backend/package/yuxi/agents/buildin/deep_agent/graph.py
index 3208cb18..585a3634 100644
--- a/backend/package/yuxi/agents/buildin/deep_agent/graph.py
+++ b/backend/package/yuxi/agents/buildin/deep_agent/graph.py
@@ -1,6 +1,5 @@
import os
-from deepagents.middleware.filesystem import FilesystemMiddleware
from deepagents.middleware.patch_tool_calls import PatchToolCallsMiddleware
from deepagents.middleware.subagents import SubAgentMiddleware
from langchain.agents import create_agent
@@ -10,16 +9,16 @@ from langchain.agents.middleware import (
)
from yuxi.agents import BaseAgent, BaseState, load_chat_model
-from yuxi.agents.backends import create_agent_composite_backend
+from yuxi.agents.backends import create_agent_composite_backend, create_agent_filesystem_middleware
from yuxi.agents.context import prepare_agent_runtime_context
from yuxi.agents.middlewares import (
- SummaryOffloadMiddleware,
+ create_summary_middleware,
save_attachments_to_fs,
)
from yuxi.agents.middlewares.knowledge_base_middleware import KnowledgeBaseMiddleware
from yuxi.agents.middlewares.skills_middleware import SkillsMiddleware
from yuxi.agents.toolkits.buildin.tools import _create_tavily_search
-from yuxi.agents.subagents.service import get_subagents_from_slugs
+from yuxi.agents.subagents.service import build_subagent_middleware_specs, get_subagents_from_slugs
from yuxi.agents.toolkits.service import resolve_configured_runtime_tools
from yuxi.utils import logger
from yuxi.utils.datetime_utils import shanghai_now
@@ -65,31 +64,35 @@ class DeepAgent(BaseAgent):
# 从数据库加载 subagent specs（工具名称已解析）
user_subagents = await get_subagents_from_slugs(context.subagents)
- # 主 Agent 上下文优化：90k tokens 触发压缩（128k context window 的 70%）
- summary_middleware = SummaryOffloadMiddleware(
+ # 主 Agent 上下文优化：90k tokens 触发压缩，保留最近 50%
+ summary_middleware = create_summary_middleware(
model=model,
trigger=("tokens", 90000),
+ keep=("tokens", 45000),
trim_tokens_to_summarize=4000,
- summary_offload_threshold=500,
- max_retention_ratio=0.5,
)
+ default_subagent_middleware = [
+ create_agent_filesystem_middleware(tool_token_limit_before_evict=500), # 文件系统后端
+ PatchToolCallsMiddleware(),
+ summary_middleware,
+ # 子 Agent 搜索工具限制：tavily_search 最多 8 次
+ ToolCallLimitMiddleware(
+ tool_name="tavily_search",
+ run_limit=8,
+ exit_behavior="continue",
+ ),
+ ]
subagents_middleware = SubAgentMiddleware(
- default_model=sub_model,
- default_tools=search_tools,
- subagents=user_subagents,
- default_middleware=[
- FilesystemMiddleware(backend=create_agent_composite_backend), # 文件系统后端
- PatchToolCallsMiddleware(),
- summary_middleware,
- # 子 Agent 搜索工具限制：tavily_search 最多 8 次
- ToolCallLimitMiddleware(
- tool_name="tavily_search",
- run_limit=8,
- exit_behavior="continue",
- ),
- ],
- general_purpose_agent=True,
+ backend=create_agent_composite_backend,
+ subagents=build_subagent_middleware_specs(
+ user_subagents,
+ default_model=sub_model,
+ default_tools=search_tools,
+ default_middleware=default_subagent_middleware,
+ model_loader=load_chat_model,
+ ),
+ state_schema=BaseState,
)
# 使用 create_deep_agent 创建深度智能体
@@ -98,7 +101,7 @@ class DeepAgent(BaseAgent):
tools=await resolve_configured_runtime_tools(context),
system_prompt=system_prompt,
middleware=[
- FilesystemMiddleware(backend=create_agent_composite_backend), # 文件系统后端
+ create_agent_filesystem_middleware(tool_token_limit_before_evict=500), # 文件系统后端
SkillsMiddleware(), # Skills 中间件（提示词注入、依赖展开、动态激活）
save_attachments_to_fs, # 附件注入提示词
TodoListMiddleware(system_prompt="任务结束前，应该检查维护的待办事项列表是否结束。"),
diff --git a/backend/package/yuxi/agents/middlewares/__init__.py b/backend/package/yuxi/agents/middlewares/__init__.py
index e77515c8..53146f54 100644
--- a/backend/package/yuxi/agents/middlewares/__init__.py
+++ b/backend/package/yuxi/agents/middlewares/__init__.py
@@ -1,14 +1,13 @@
from .attachment_middleware import inject_attachment_context, save_attachments_to_fs
from .context_middlewares import context_aware_prompt, context_based_model
from .dynamic_tool_middleware import DynamicToolMiddleware
-from .summary_middleware import SummaryOffloadMiddleware, create_summary_offload_middleware
+from .summary_middleware import create_summary_middleware
__all__ = [
"DynamicToolMiddleware",
- "SummaryOffloadMiddleware",
"context_aware_prompt",
"context_based_model",
- "create_summary_offload_middleware",
+ "create_summary_middleware",
"inject_attachment_context", # 已废弃，使用 save_attachments_to_fs
"save_attachments_to_fs",
]
diff --git a/backend/package/yuxi/agents/middlewares/skills_middleware.py b/backend/package/yuxi/agents/middlewares/skills_middleware.py
index 6856b573..a6af1343 100644
--- a/backend/package/yuxi/agents/middlewares/skills_middleware.py
+++ b/backend/package/yuxi/agents/middlewares/skills_middleware.py
@@ -6,6 +6,7 @@ from collections.abc import Callable
from pathlib import PurePosixPath
from typing import Annotated, Any, NotRequired, TypedDict
+from deepagents.middleware._utils import append_to_system_message
from deepagents.middleware.skills import SKILLS_SYSTEM_PROMPT
from langchain.agents import AgentState
from langchain.agents.middleware import AgentMiddleware, ModelRequest, ModelResponse
@@ -197,42 +198,22 @@ class SkillsMiddleware(AgentMiddleware):
self.enable_skills_prompt = enable_skills_prompt
self.skills_sources_for_prompt = skills_sources_for_prompt or ["/home/gem/skills/"]
- async def abefore_agent(self, state: SkillsState, runtime) -> dict[str, Any] | None:
- """在 agent 执行前注入 skills 提示词"""
- runtime_context = runtime.context
-
- # 检查是否需要注入
- if not self.enable_skills_prompt:
- return None
- if getattr(runtime_context, "_skills_prompt_injected", False):
- return None
-
- prompt_skills = getattr(runtime_context, "_prompt_skills", None)
- if not isinstance(prompt_skills, list):
- return None
-
- prompt_skills = normalize_string_list(prompt_skills)
- if not prompt_skills:
- return None
-
- # 收集提示词元数据并构建提示段
- skills_meta = self._collect_prompt_metadata(prompt_skills, runtime_context)
- skills_section = self._build_skills_section(skills_meta)
-
- # 注入提示词
- base_prompt = getattr(runtime_context, "system_prompt", "") or ""
- merged_prompt = f"{base_prompt}\n\n{skills_section}" if base_prompt else skills_section
- setattr(runtime_context, "system_prompt", merged_prompt)
- setattr(runtime_context, "_skills_prompt_injected", True)
-
- return None
-
async def awrap_model_call(
self, request: ModelRequest, handler: Callable[[ModelRequest], ModelResponse]
) -> ModelResponse:
- """包装模型调用，处理动态激活和依赖展开"""
+ """包装模型调用，处理 skills 提示词注入、动态激活和依赖展开"""
runtime_context = request.runtime.context
+ if self.enable_skills_prompt:
+ prompt_skills = getattr(runtime_context, "_prompt_skills", None)
+ if isinstance(prompt_skills, list):
+ prompt_skills = normalize_string_list(prompt_skills)
+ if prompt_skills:
+ skills_meta = self._collect_prompt_metadata(prompt_skills, runtime_context)
+ skills_section = self._build_skills_section(skills_meta)
+ system_message = append_to_system_message(getattr(request, "system_message", None), skills_section)
+ request = request.override(system_message=system_message)
+
state = request.state if isinstance(request.state, dict) else {}
activated = state.get("activated_skills", []) or []
if not isinstance(activated, list):
@@ -473,5 +454,6 @@ class SkillsMiddleware(AgentMiddleware):
skills_list = self._format_skills_list(skills_meta)
return SKILLS_SYSTEM_PROMPT.format(
skills_locations=skills_locations,
+ skills_load_warnings="",
skills_list=skills_list,
)
diff --git a/backend/package/yuxi/agents/middlewares/summary_middleware.py b/backend/package/yuxi/agents/middlewares/summary_middleware.py
index 64b5ae1a..687f45dd 100644
--- a/backend/package/yuxi/agents/middlewares/summary_middleware.py
+++ b/backend/package/yuxi/agents/middlewares/summary_middleware.py
@@ -1,817 +1,30 @@
-"""Summary + ToolResult Offload Middleware.
-
-基于 LangChain SummarizationMiddleware 实现，额外添加工具结果卸载功能：
-- 保留原有的 summary 历史记录逻辑
-- 将 ToolMessage 的 results 卸载到虚拟文件系统（默认 > 1k 字符）
-"""
+"""Yuxi adapter for DeepAgents conversation summarization middleware."""
from __future__ import annotations
-import uuid
-from collections.abc import Callable, Iterable, Mapping
-from functools import partial
-from typing import Any, Literal, cast, override
+from deepagents.middleware.summarization import SummarizationMiddleware
+from langchain.agents.middleware.summarization import ContextSize
+from langchain.chat_models import BaseChatModel
-from langchain.agents import AgentState
-from langchain.agents.middleware import AgentMiddleware
-from langchain.chat_models import BaseChatModel, init_chat_model
-from langchain_core.messages import (
- AIMessage,
- AnyMessage,
- HumanMessage,
- MessageLikeRepresentation,
- RemoveMessage,
- ToolMessage,
-)
-from langchain_core.messages.utils import (
- count_tokens_approximately,
- get_buffer_string,
- trim_messages,
-)
-from langgraph.graph.message import REMOVE_ALL_MESSAGES
-from langgraph.runtime import Runtime
+from yuxi.agents.backends.composite import create_agent_composite_backend
+from yuxi.utils.paths import VIRTUAL_PATH_CONVERSATION_HISTORY, VIRTUAL_PATH_LARGE_TOOL_RESULTS
-from yuxi.utils.paths import VIRTUAL_PATH_OUTPUTS
-TokenCounter = Callable[[Iterable[MessageLikeRepresentation]], int]
-
-DEFAULT_SUMMARY_PROMPT = """
-Context Extraction Assistant
-
-
-
-Your sole objective in this task is to extract the highest quality/most relevant
-context from the conversation history below.
-
-
-
-You're nearing the total number of input tokens you can accept, so you must
-extract the highest quality/most relevant pieces of information from your conversation
-history. This context will then overwrite the conversation history presented below.
-Because of this, ensure the context you extract is only the most important information
-to your overall goal.
-
-
-
-The conversation history below will be replaced with the context you extract in
-this step. Because of this, you must do your very best to extract and record all
-of the most important context from the conversation history. You want to ensure
-that you don't repeat any actions you've already completed, so the context you
-extract from the conversation history should be focused on the most important
-information to your overall goal.
-
-
-The user will message you with the full message history you'll be extracting context
-from, to then replace. Carefully read over it all, and think deeply about what
-information is most important to your overall goal that should be saved.
-
-With all of this in mind, please carefully read over the entire conversation history,
-and extract the most important and relevant context to replace it so that you can
-free up space in the conversation history. Respond ONLY with the extracted context.
-Do not include any additional information, or text before or after the extracted context.
-
-
-Messages to summarize:
-{messages}
-"""
-
-_DEFAULT_MESSAGES_TO_KEEP = 20
-_DEFAULT_FALLBACK_MESSAGE_COUNT = 15
-_OFFLOAD_DIR = "summary_offload"
-
-ContextFraction = tuple[Literal["fraction"], float]
-ContextTokens = tuple[Literal["tokens"], int]
-ContextMessages = tuple[Literal["messages"], int]
-
-ContextSize = ContextFraction | ContextTokens | ContextMessages
-
-
-def _get_approximate_token_counter(model: BaseChatModel) -> TokenCounter:
- """Tune parameters of approximate token counter based on model type."""
- if model._llm_type == "anthropic-chat": # noqa: SLF001
- return partial(count_tokens_approximately, chars_per_token=3.3)
- return count_tokens_approximately
-
-
-def _get_content_str(content: Any) -> str | None:
- """Convert plain-text ToolMessage content to string for size checking."""
- if isinstance(content, str):
- return content
- if isinstance(content, list):
- if len(content) == 1 and isinstance(content[0], dict) and content[0].get("type") == "text":
- return str(content[0].get("text", ""))
- return None
- return None
-
-
-def _format_offload_placeholder(file_path: str, content_sample: str) -> str:
- """Format the placeholder message for offloaded content."""
- return (
- f"[ToolResultOffloaded]\n\n"
- f"文件路径: {file_path}\n"
- f"可以使用 read_file 工具读取完整内容\n\n"
- f"--- 内容预览 ---\n{content_sample}"
- )
-
-
-def _build_offload_file_path(msg: ToolMessage) -> str:
- """Build a read_file-compatible virtual path for offloaded tool output."""
- tool_name = msg.name or "unknown"
- message_id = msg.id or str(uuid.uuid4())[:8]
- safe_name = "".join(c if c.isalnum() or c in "-_" else "_" for c in tool_name)
- return f"{VIRTUAL_PATH_OUTPUTS}/{_OFFLOAD_DIR}/{safe_name}-{message_id}.txt"
-
-
-def _write_offloaded_content(runtime: Runtime, file_path: str, content: str) -> tuple[bool, dict[str, Any]]:
- """Persist offloaded tool output into the active filesystem backend."""
- from yuxi.agents.backends.composite import create_agent_composite_backend
-
- backend = create_agent_composite_backend(runtime)
- result = backend.write(file_path, content)
- if result.error:
- return False, {}
- return True, result.files_update or {}
-
-
-async def _awrite_offloaded_content(runtime: Runtime, file_path: str, content: str) -> tuple[bool, dict[str, Any]]:
- """Async variant of _write_offloaded_content."""
- from yuxi.agents.backends.composite import create_agent_composite_backend
-
- backend = create_agent_composite_backend(runtime)
- result = await backend.awrite(file_path, content)
- if result.error:
- return False, {}
- return True, result.files_update or {}
-
-
-def _offload_tool_result(
- msg: ToolMessage,
- threshold: int,
- token_counter: TokenCounter,
- runtime: Runtime,
-) -> dict[str, Any] | None:
- """卸载单个超阈值的工具结果.
-
- Args:
- msg: ToolMessage
- threshold: token 数阈值
- token_counter: token 计数函数
-
- Returns:
- 包含 file 更新的字典，如果没有卸载则返回 None
- """
- content = msg.content
- content_str = _get_content_str(content)
-
- if content_str is None:
- return None
-
- # 计算 token 数
- msg_tokens = token_counter([msg])
- if msg_tokens <= threshold:
- return None
-
- # 获取工具名称和参数
- tool_name = msg.name or "unknown"
- tool_call_id = msg.tool_call_id or ""
-
- file_path = _build_offload_file_path(msg)
-
- # 构建文件头部信息
- header_lines = [
- "=== Tool Invocation ===",
- f"Tool: {tool_name}",
- f"Tool Call ID: {tool_call_id}",
- "=" * 40,
- "",
- ]
- header = "\n".join(header_lines)
-
- written, files_update = _write_offloaded_content(runtime, file_path, header + content_str)
- if not written:
- return None
-
- # 创建预览内容
- preview_lines = content_str.splitlines()[:10]
- content_sample = "\n".join(line[:500] for line in preview_lines)
-
- # 替换消息内容为占位符
- msg.content = _format_offload_placeholder(file_path, content_sample)
-
- return files_update or {}
-
-
-def _offload_tool_results(
- messages: list[AnyMessage], threshold: int, token_counter: TokenCounter, runtime: Runtime
-) -> tuple[dict[str, Any], list[AnyMessage]]:
- """扫描消息列表，卸载所有超阈值的工具结果.
-
- Args:
- messages: 消息列表
- threshold: token 数阈值
- token_counter: token 计数函数
-
- Returns:
- tuple[files 更新字典, 被修改的消息列表]
- """
- files_update: dict[str, Any] = {}
- modified_messages: list[AnyMessage] = []
-
- for msg in messages:
- if not isinstance(msg, ToolMessage):
- continue
-
- result = _offload_tool_result(msg, threshold, token_counter, runtime)
- if result is not None:
- files_update.update(result)
- modified_messages.append(msg)
-
- return files_update, modified_messages
-
-
-async def _aoffload_tool_results(
- messages: list[AnyMessage], threshold: int, token_counter: TokenCounter, runtime: Runtime
-) -> tuple[dict[str, Any], list[AnyMessage]]:
- """Async variant of _offload_tool_results."""
- files_update: dict[str, Any] = {}
- modified_messages: list[AnyMessage] = []
-
- for msg in messages:
- if not isinstance(msg, ToolMessage):
- continue
-
- content_str = _get_content_str(msg.content)
- if content_str is None:
- continue
-
- msg_tokens = token_counter([msg])
- if msg_tokens <= threshold:
- continue
-
- tool_name = msg.name or "unknown"
- tool_call_id = msg.tool_call_id or ""
- file_path = _build_offload_file_path(msg)
- header_lines = [
- "=== Tool Invocation ===",
- f"Tool: {tool_name}",
- f"Tool Call ID: {tool_call_id}",
- "=" * 40,
- "",
- ]
- header = "\n".join(header_lines)
- written, result = await _awrite_offloaded_content(runtime, file_path, header + content_str)
- if not written:
- continue
-
- preview_lines = content_str.splitlines()[:10]
- content_sample = "\n".join(line[:500] for line in preview_lines)
- msg.content = _format_offload_placeholder(file_path, content_sample)
- files_update.update(result)
- modified_messages.append(msg)
-
- return files_update, modified_messages
-
-
-class SummaryOffloadMiddleware(AgentMiddleware):
- """总结+工具结果卸载中间件.
-
- 基于 LangChain SummarizationMiddleware，额外功能：
- - 保留原有的 summary 历史记录逻辑
- - 将 ToolMessage 的 results 卸载到虚拟文件系统
- 1. 触发 Summary 时，卸载超过阈值的工具结果
- 2. 智能保留策略：
- - 触发 Summary 时，首先进行卸载
- - 只有当总 Token 数超过 max_retention_ratio * trigger 时，才进行消息清理(Summary)
- - 始终保留 System Message
- """
-
- def __init__(
- self,
- model: str | BaseChatModel,
- *,
- trigger: ContextSize | list[ContextSize] | None = None,
- keep: ContextSize = ("messages", _DEFAULT_MESSAGES_TO_KEEP),
- token_counter: TokenCounter = count_tokens_approximately,
- summary_prompt: str = DEFAULT_SUMMARY_PROMPT,
- trim_tokens_to_summarize: int | None = 4000,
- # 工具结果卸载参数
- summary_offload_threshold: int = 1000,
- max_retention_ratio: float = 0.6,
- **deprecated_kwargs: Any,
- ) -> None:
- """初始化中间件.
-
- Args:
- model: 用于生成摘要的语言模型
- trigger: 触发摘要的阈值条件 (建议使用 ("tokens", N))
- keep: 摘要后保留的消息数量/ token 策略 (作为 fallback)
- token_counter: token 计数函数
- summary_prompt: 生成摘要的提示词模板
- trim_tokens_to_summarize: Summary 时，无损保留的消息数
- summary_offload_threshold: Summary 时，工具调用结果超过此 token 数阈值则卸载到文件系统
- max_retention_ratio: 触发 Summary 后，如果不超过此比例（相对于 trigger），则不删除消息。默认 0.6
- """
- super().__init__()
-
- if isinstance(model, str):
- model = init_chat_model(model)
-
- self.model = model
- if trigger is None:
- self.trigger: ContextSize | list[ContextSize] | None = None
- trigger_conditions: list[ContextSize] = []
- elif isinstance(trigger, list):
- validated_list = [self._validate_context_size(item, "trigger") for item in trigger]
- self.trigger = validated_list
- trigger_conditions = validated_list
- else:
- validated = self._validate_context_size(trigger, "trigger")
- self.trigger = validated
- trigger_conditions = [validated]
- self._trigger_conditions = trigger_conditions
-
- self.keep = self._validate_context_size(keep, "keep")
- if token_counter is count_tokens_approximately:
- self.token_counter = _get_approximate_token_counter(self.model)
- else:
- self.token_counter = token_counter
- self.summary_prompt = summary_prompt
- self.trim_tokens_to_summarize = trim_tokens_to_summarize
-
- # 工具结果卸载配置
- self.summary_offload_threshold = summary_offload_threshold
- self.max_retention_ratio = max_retention_ratio
-
- # 检查 fractional 配置需要的 model profile
- requires_profile = any(condition[0] == "fraction" for condition in self._trigger_conditions)
- if self.keep[0] == "fraction":
- requires_profile = True
- if requires_profile and self._get_profile_limits() is None:
- msg = (
- "Model profile information is required to use fractional token limits, "
- "and is unavailable for the specified model. Please use absolute token "
- "counts instead, or pass "
- '`ChatModel(..., profile={"max_input_tokens": ...})`.'
- )
- raise ValueError(msg)
-
- def _get_token_trigger_value(self) -> int | None:
- """Helper to get the token trigger value."""
- if not self._trigger_conditions:
- return None
-
- for kind, value in self._trigger_conditions:
- if kind == "tokens":
- return int(value)
- # Support fractional if needed, converting to tokens using profile
- if kind == "fraction":
- max_input_tokens = self._get_profile_limits()
- if max_input_tokens:
- return int(max_input_tokens * value)
- return None
-
- @override
- def before_model(self, state: AgentState[Any], runtime: Runtime) -> dict[str, Any] | None:
- """Process messages before model invocation, potentially triggering summarization."""
-
- messages = state["messages"]
-
- self._ensure_message_ids(messages)
-
- total_tokens = self.token_counter(messages)
-
- # 1. 检查是否触发 Summary
- if not self._should_summarize(messages, total_tokens):
- return None
-
- # 2. 触发 Summary：卸载超阈值的工具结果
- files_update: dict[str, Any] = {}
- modified_messages: list[AnyMessage] = []
-
- agg_files, agg_msgs = _offload_tool_results(
- messages, self.summary_offload_threshold, self.token_counter, runtime
- )
- files_update = agg_files
- modified_messages = agg_msgs
-
- # 3. 检查 Retention Ratio
- current_tokens = self.token_counter(messages)
- trigger_value = self._get_token_trigger_value()
-
- if trigger_value is None:
- system_msg_count = 1 if messages and messages[0].type == "system" else 0
- messages_to_process = messages[1:] if system_msg_count else messages
- cutoff_relative = self._determine_cutoff_index(messages_to_process)
- cutoff_index = system_msg_count + cutoff_relative
- else:
- retention_limit = trigger_value * self.max_retention_ratio
-
- if current_tokens <= retention_limit:
- if files_update:
- result: dict[str, Any] = {"messages": modified_messages}
- if files_update:
- result["files"] = files_update
- return result
- return None
-
- # 4. 超过 limit，需要 Eviction (Summary)
- system_msg_count = 0
- messages_to_process = messages
-
- if messages and messages[0].type == "system":
- system_msg_count = 1
- messages_to_process = messages[1:]
-
- cutoff_relative = self._find_cutoff_by_token_limit(messages_to_process, int(retention_limit))
- cutoff_index = system_msg_count + cutoff_relative
-
- if cutoff_index <= system_msg_count:
- if files_update:
- result = {"messages": modified_messages}
- if files_update:
- result["files"] = files_update
- return result
- return None
-
- system_message = messages[0] if messages and messages[0].type == "system" else None
- conversation_messages = messages[1:] if system_message is not None else messages
-
- messages_to_summarize, preserved_messages = self._partition_messages(
- conversation_messages, cutoff_index - system_msg_count
- )
- summary = self._create_summary(messages_to_summarize)
- new_messages = self._build_new_messages(summary)
-
- # 如果有 System Message，需要保留在最前面
- final_messages = []
-
- if system_message is not None:
- final_messages.append(system_message)
-
- final_messages.extend(new_messages)
- final_messages.extend(preserved_messages)
-
- result: dict[str, Any] = {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES), *final_messages]}
-
- if files_update:
- result["files"] = files_update
-
- return result
-
- @override
- async def abefore_model(self, state: AgentState[Any], runtime: Runtime) -> dict[str, Any] | None:
- """Process messages before model invocation, potentially triggering summarization."""
-
- messages = state["messages"]
-
- self._ensure_message_ids(messages)
-
- total_tokens = self.token_counter(messages)
-
- # 1. 检查是否触发 Summary
- if not self._should_summarize(messages, total_tokens):
- return None
-
- # 2. 触发 Summary：卸载超阈值的工具结果
- files_update: dict[str, Any] = {}
- modified_messages: list[AnyMessage] = []
-
- agg_files, agg_msgs = await _aoffload_tool_results(
- messages, self.summary_offload_threshold, self.token_counter, runtime
- )
- files_update = agg_files
- modified_messages = agg_msgs
-
- # 3. 检查 Retention Ratio
- current_tokens = self.token_counter(messages)
- trigger_value = self._get_token_trigger_value()
-
- if trigger_value is None:
- system_msg_count = 1 if messages and messages[0].type == "system" else 0
- messages_to_process = messages[1:] if system_msg_count else messages
- cutoff_relative = self._determine_cutoff_index(messages_to_process)
- cutoff_index = system_msg_count + cutoff_relative
- else:
- retention_limit = trigger_value * self.max_retention_ratio
-
- if current_tokens <= retention_limit:
- if files_update:
- result: dict[str, Any] = {"messages": modified_messages}
- if files_update:
- result["files"] = files_update
- return result
- return None
-
- # 4. 超过 limit，需要 Eviction (Summary)
- system_msg_count = 0
- messages_to_process = messages
-
- if messages and messages[0].type == "system":
- system_msg_count = 1
- messages_to_process = messages[1:]
-
- cutoff_relative = self._find_cutoff_by_token_limit(messages_to_process, int(retention_limit))
- cutoff_index = system_msg_count + cutoff_relative
-
- if cutoff_index <= system_msg_count:
- if files_update:
- result = {"messages": modified_messages}
- if files_update:
- result["files"] = files_update
- return result
- return None
-
- system_message = messages[0] if messages and messages[0].type == "system" else None
- conversation_messages = messages[1:] if system_message is not None else messages
-
- messages_to_summarize, preserved_messages = self._partition_messages(
- conversation_messages, cutoff_index - system_msg_count
- )
-
- summary = await self._acreate_summary(messages_to_summarize)
- new_messages = self._build_new_messages(summary)
-
- final_messages = []
-
- if system_message is not None:
- final_messages.append(system_message)
-
- final_messages.extend(new_messages)
- final_messages.extend(preserved_messages)
-
- result: dict[str, Any] = {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES), *final_messages]}
-
- if files_update:
- result["files"] = files_update
-
- return result
-
- def _should_summarize(self, messages: list[AnyMessage], total_tokens: int) -> bool:
- """Determine whether summarization should run for the current token usage."""
- if not self._trigger_conditions:
- return False
-
- for kind, value in self._trigger_conditions:
- if kind == "messages" and len(messages) >= value:
- return True
- if kind == "tokens" and total_tokens >= value:
- return True
- if kind == "fraction":
- max_input_tokens = self._get_profile_limits()
- if max_input_tokens is None:
- continue
- threshold = int(max_input_tokens * value)
- if threshold <= 0:
- threshold = 1
- if total_tokens >= threshold:
- return True
- return False
-
- def _determine_cutoff_index(self, messages: list[AnyMessage]) -> int:
- """Choose cutoff index respecting retention configuration."""
- kind, value = self.keep
- if kind in {"tokens", "fraction"}:
- token_based_cutoff = self._find_token_based_cutoff(messages)
- if token_based_cutoff is not None:
- return token_based_cutoff
- return self._find_safe_cutoff(messages, _DEFAULT_MESSAGES_TO_KEEP)
- return self._find_safe_cutoff(messages, cast("int", value))
-
- def _find_token_based_cutoff(self, messages: list[AnyMessage]) -> int | None:
- """Find cutoff index based on target token retention."""
- if not messages:
- return 0
-
- kind, value = self.keep
- if kind == "fraction":
- max_input_tokens = self._get_profile_limits()
- if max_input_tokens is None:
- return None
- target_token_count = int(max_input_tokens * value)
- elif kind == "tokens":
- target_token_count = int(value)
- else:
- return None
-
- if target_token_count <= 0:
- target_token_count = 1
-
- if self.token_counter(messages) <= target_token_count:
- return 0
-
- # 二分查找
- left, right = 0, len(messages)
- cutoff_candidate = len(messages)
- max_iterations = len(messages).bit_length() + 1
- for _ in range(max_iterations):
- if left >= right:
- break
-
- mid = (left + right) // 2
- if self.token_counter(messages[mid:]) <= target_token_count:
- cutoff_candidate = mid
- right = mid
- else:
- left = mid + 1
-
- if cutoff_candidate == len(messages):
- cutoff_candidate = left
-
- if cutoff_candidate >= len(messages):
- if len(messages) == 1:
- return 0
- cutoff_candidate = len(messages) - 1
-
- return self._find_safe_cutoff_point(messages, cutoff_candidate)
-
- def _find_cutoff_by_token_limit(self, messages: list[AnyMessage], max_tokens: int) -> int:
- """Find cutoff index to ensure total tokens <= max_tokens."""
- if not messages or self.token_counter(messages) <= max_tokens:
- return 0
-
- # Binary search for cutoff
- left, right = 0, len(messages)
- cutoff_candidate = len(messages)
- max_iterations = len(messages).bit_length() + 1
-
- for _ in range(max_iterations):
- if left >= right:
- break
-
- mid = (left + right) // 2
- # Calculate tokens for preserved part: messages[mid:]
- if self.token_counter(messages[mid:]) <= max_tokens:
- cutoff_candidate = mid
- right = mid
- else:
- left = mid + 1
-
- if cutoff_candidate == len(messages):
- cutoff_candidate = left
-
- return self._find_safe_cutoff_point(messages, cutoff_candidate)
-
- def _get_profile_limits(self) -> int | None:
- """Retrieve max input token limit from the model profile."""
- try:
- profile = self.model.profile
- except AttributeError:
- return None
-
- if not isinstance(profile, Mapping):
- return None
-
- max_input_tokens = profile.get("max_input_tokens")
-
- if not isinstance(max_input_tokens, int):
- return None
-
- return max_input_tokens
-
- @staticmethod
- def _validate_context_size(context: ContextSize, parameter_name: str) -> ContextSize:
- """Validate context configuration tuples."""
- kind, value = context
- if kind == "fraction":
- if not 0 < value <= 1:
- msg = f"Fractional {parameter_name} values must be between 0 and 1, got {value}."
- raise ValueError(msg)
- elif kind in {"tokens", "messages"}:
- if value <= 0:
- msg = f"{parameter_name} thresholds must be greater than 0, got {value}."
- raise ValueError(msg)
- else:
- msg = f"Unsupported context size type {kind} for {parameter_name}."
- raise ValueError(msg)
- return context
-
- @staticmethod
- def _build_new_messages(summary: str) -> list[HumanMessage]:
- return [
- HumanMessage(
- content=f"Here is a summary of the conversation to date:\n\n{summary}",
- additional_kwargs={"lc_source": "summarization"},
- )
- ]
-
- @staticmethod
- def _ensure_message_ids(messages: list[AnyMessage]) -> None:
- """Ensure all messages have unique IDs for the add_messages reducer."""
- for msg in messages:
- if msg.id is None:
- msg.id = str(uuid.uuid4())
-
- @staticmethod
- def _partition_messages(
- conversation_messages: list[AnyMessage],
- cutoff_index: int,
- ) -> tuple[list[AnyMessage], list[AnyMessage]]:
- """Partition messages into those to summarize and those to preserve."""
- messages_to_summarize = conversation_messages[:cutoff_index]
- preserved_messages = conversation_messages[cutoff_index:]
-
- return messages_to_summarize, preserved_messages
-
- def _find_safe_cutoff(self, messages: list[AnyMessage], messages_to_keep: int) -> int:
- """Find safe cutoff point that preserves AI/Tool message pairs."""
- if len(messages) <= messages_to_keep:
- return 0
-
- target_cutoff = len(messages) - messages_to_keep
- return self._find_safe_cutoff_point(messages, target_cutoff)
-
- @staticmethod
- def _find_safe_cutoff_point(messages: list[AnyMessage], cutoff_index: int) -> int:
- """Find a safe cutoff point that doesn't split AI/Tool message pairs."""
- if cutoff_index >= len(messages) or not isinstance(messages[cutoff_index], ToolMessage):
- return cutoff_index
-
- tool_call_ids: set[str] = set()
- idx = cutoff_index
- while idx < len(messages) and isinstance(messages[idx], ToolMessage):
- tool_msg = cast("ToolMessage", messages[idx])
- if tool_msg.tool_call_id:
- tool_call_ids.add(tool_msg.tool_call_id)
- idx += 1
-
- for i in range(cutoff_index - 1, -1, -1):
- msg = messages[i]
- if isinstance(msg, AIMessage) and msg.tool_calls:
- ai_tool_call_ids = {tc.get("id") for tc in msg.tool_calls if tc.get("id")}
- if tool_call_ids & ai_tool_call_ids:
- return i
-
- return idx
-
- def _create_summary(self, messages_to_summarize: list[AnyMessage]) -> str:
- """Generate summary for the given messages."""
- if not messages_to_summarize:
- return "No previous conversation history."
-
- trimmed_messages = self._trim_messages_for_summary(messages_to_summarize)
- if not trimmed_messages:
- return "Previous conversation was too long to summarize."
-
- formatted_messages = get_buffer_string(trimmed_messages)
-
- try:
- response = self.model.invoke(self.summary_prompt.format(messages=formatted_messages))
- return response.text.strip()
- except Exception as e:
- return f"Error generating summary: {e!s}"
-
- async def _acreate_summary(self, messages_to_summarize: list[AnyMessage]) -> str:
- """Generate summary for the given messages."""
- if not messages_to_summarize:
- return "No previous conversation history."
-
- trimmed_messages = self._trim_messages_for_summary(messages_to_summarize)
- if not trimmed_messages:
- return "Previous conversation was too long to summarize."
-
- formatted_messages = get_buffer_string(trimmed_messages)
-
- try:
- response = await self.model.ainvoke(self.summary_prompt.format(messages=formatted_messages))
- return response.text.strip()
- except Exception as e:
- return f"Error generating summary: {e!s}"
-
- def _trim_messages_for_summary(self, messages: list[AnyMessage]) -> list[AnyMessage]:
- """Trim messages to fit within summary generation limits."""
- try:
- if self.trim_tokens_to_summarize is None:
- return messages
- return cast(
- "list[AnyMessage]",
- trim_messages(
- messages,
- max_tokens=self.trim_tokens_to_summarize,
- token_counter=self.token_counter,
- start_on="human",
- strategy="last",
- allow_partial=True,
- include_system=True,
- ),
- )
- except Exception:
- return messages[-_DEFAULT_FALLBACK_MESSAGE_COUNT:]
-
-
-# 便捷函数：创建中间件实例
-def create_summary_offload_middleware(
+def create_summary_middleware(
model: str | BaseChatModel,
*,
- trigger: ContextSize | list[ContextSize] | None = None,
- keep: ContextSize = ("messages", _DEFAULT_MESSAGES_TO_KEEP),
- summary_offload_threshold: int = 1000,
- max_retention_ratio: float = 0.6,
-) -> SummaryOffloadMiddleware:
- """创建 SummaryOffloadMiddleware 实例的便捷函数"""
- return SummaryOffloadMiddleware(
+ trigger: ContextSize | list[ContextSize] | None,
+ keep: ContextSize,
+ trim_tokens_to_summarize: int | None = 4000,
+) -> SummarizationMiddleware:
+ """Create DeepAgents summarization middleware using Yuxi's virtual outputs root."""
+ middleware = SummarizationMiddleware(
model=model,
+ backend=create_agent_composite_backend,
trigger=trigger,
keep=keep,
- summary_offload_threshold=summary_offload_threshold,
- max_retention_ratio=max_retention_ratio,
+ trim_tokens_to_summarize=trim_tokens_to_summarize,
)
+ middleware._history_path_prefix = VIRTUAL_PATH_CONVERSATION_HISTORY
+ middleware._large_tool_results_prefix = VIRTUAL_PATH_LARGE_TOOL_RESULTS
+ return middleware
diff --git a/backend/package/yuxi/agents/subagents/service.py b/backend/package/yuxi/agents/subagents/service.py
index c31729e4..6bed264c 100644
--- a/backend/package/yuxi/agents/subagents/service.py
+++ b/backend/package/yuxi/agents/subagents/service.py
@@ -5,13 +5,14 @@ from contextlib import asynccontextmanager
from copy import deepcopy
from typing import Any
+from deepagents.middleware.subagents import GENERAL_PURPOSE_SUBAGENT
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from yuxi.agents.subagents.repository import SubAgentRepository
from yuxi.storage.postgres.manager import pg_manager
from yuxi.storage.postgres.models_business import SubAgent
from yuxi.utils import logger
-from yuxi.utils.paths import OUTPUTS_DIR_NAME
+from yuxi.utils.paths import VIRTUAL_PATH_OUTPUTS
# SubAgent specs cache for get_subagent_specs
_subagent_specs_cache: list[dict[str, Any]] | None = None
@@ -38,7 +39,7 @@ _DEFAULT_SUBAGENTS = [
"你是一位专注的研究员。你的工作是根据用户的问题进行研究。"
"进行彻底的研究，然后用详细的答案回复用户的问题，只有你的最终答案会被传递给用户。"
"除了你的最终信息，他们不会知道任何其他事情，所以你的最终报告应该就是你的最终信息！"
- f"将调研结果保存到主题研究文件中 {OUTPUTS_DIR_NAME}/sub_research/xxx.md 中。"
+ f"将调研结果保存到主题研究文件中 {VIRTUAL_PATH_OUTPUTS}/sub_research/xxx.md 中。"
),
"tools": ["tavily_search"],
"is_builtin": True,
@@ -134,6 +135,40 @@ def clear_specs_cache() -> None:
_subagent_specs_cache = None
+def build_subagent_middleware_specs(
+ subagents: list[dict[str, Any]],
+ *,
+ default_model: Any,
+ default_tools: list[Any] | None = None,
+ default_middleware: list[Any] | None = None,
+ include_general_purpose: bool = True,
+ model_loader: Any | None = None,
+) -> list[dict[str, Any]]:
+ tools = list(default_tools or [])
+ middleware = list(default_middleware or [])
+ specs: list[dict[str, Any]] = []
+
+ if include_general_purpose:
+ specs.append(
+ {
+ **GENERAL_PURPOSE_SUBAGENT,
+ "model": default_model,
+ "tools": list(tools),
+ "middleware": list(middleware),
+ }
+ )
+
+ for spec in subagents:
+ item = {key: value for key, value in spec.items() if key != "slug"}
+ model_name = item.get("model")
+ item["model"] = model_loader(model_name) if model_name and model_loader else (model_name or default_model)
+ item["tools"] = list(item.get("tools") or tools)
+ item["middleware"] = [*middleware, *list(item.get("middleware", []))]
+ specs.append(item)
+
+ return specs
+
+
async def get_subagents_from_slugs(selected_slugs: Any, *, db: AsyncSession | None = None) -> list[dict[str, Any]]:
"""根据 slug 获取 subagent specs（含工具解析）。"""
specs = await get_subagent_specs(db)
diff --git a/backend/package/yuxi/agents/toolkits/buildin/install_skill.py b/backend/package/yuxi/agents/toolkits/buildin/install_skill.py
index 384c175c..74b4a2e4 100644
--- a/backend/package/yuxi/agents/toolkits/buildin/install_skill.py
+++ b/backend/package/yuxi/agents/toolkits/buildin/install_skill.py
@@ -46,7 +46,10 @@
# def _collect_sandbox_file_paths(backend, remote_dir: str) -> list[str]:
-# entries = backend.ls_info(remote_dir)
+# result = backend.ls(remote_dir)
+# if result.error:
+# raise ValueError(result.error)
+# entries = result.entries or []
# file_paths: list[str] = []
# for entry in entries:
# path = entry["path"]
diff --git a/backend/package/yuxi/services/viewer_filesystem_service.py b/backend/package/yuxi/services/viewer_filesystem_service.py
index 75a7c34e..98f31e91 100644
--- a/backend/package/yuxi/services/viewer_filesystem_service.py
+++ b/backend/package/yuxi/services/viewer_filesystem_service.py
@@ -38,6 +38,7 @@ from yuxi.utils.paths import VIRTUAL_PATH_OUTPUTS, VIRTUAL_PATH_UPLOADS, VIRTUAL
_PROTECTED_USER_DATA_ROOTS = frozenset(
{
+ USER_DATA_PATH,
VIRTUAL_PATH_WORKSPACE,
VIRTUAL_PATH_UPLOADS,
VIRTUAL_PATH_OUTPUTS,
@@ -281,8 +282,10 @@ async def list_viewer_filesystem_tree(
return {"entries": _sort_entries(entries)}
if _is_skills_path(normalized_path):
- entries = await asyncio.to_thread(skills_backend.ls_info, _strip_skills_prefix(normalized_path))
- remapped = [_remap_prefixed_entry(entry, SKILLS_PATH) for entry in entries]
+ result = await asyncio.to_thread(skills_backend.ls, _strip_skills_prefix(normalized_path))
+ if result.error:
+ raise HTTPException(status_code=400, detail=result.error)
+ remapped = [_remap_prefixed_entry(entry, SKILLS_PATH) for entry in (result.entries or [])]
return {"entries": _sort_entries(remapped)}
except PermissionError as e:
raise HTTPException(status_code=400, detail=str(e)) from e
diff --git a/backend/package/yuxi/utils/paths.py b/backend/package/yuxi/utils/paths.py
index cfa62093..af453889 100644
--- a/backend/package/yuxi/utils/paths.py
+++ b/backend/package/yuxi/utils/paths.py
@@ -8,11 +8,15 @@ WORKSPACE_AGENTS_DIR_NAME = "agents"
WORKSPACE_AGENTS_PROMPT_FILE_NAME = "AGENTS.md"
UPLOADS_DIR_NAME = "uploads"
OUTPUTS_DIR_NAME = "outputs"
+LARGE_TOOL_RESULTS_DIR_NAME = "large_tool_results"
+CONVERSATION_HISTORY_DIR_NAME = "conversation_history"
VIRTUAL_SKILLS_PATH = "/home/gem/skills"
VIRTUAL_PATH_WORKSPACE = (Path(VIRTUAL_PATH_PREFIX) / WORKSPACE_DIR_NAME).as_posix()
VIRTUAL_PATH_UPLOADS = (Path(VIRTUAL_PATH_PREFIX) / UPLOADS_DIR_NAME).as_posix()
VIRTUAL_PATH_OUTPUTS = (Path(VIRTUAL_PATH_PREFIX) / OUTPUTS_DIR_NAME).as_posix()
+VIRTUAL_PATH_LARGE_TOOL_RESULTS = (Path(VIRTUAL_PATH_OUTPUTS) / LARGE_TOOL_RESULTS_DIR_NAME).as_posix()
+VIRTUAL_PATH_CONVERSATION_HISTORY = (Path(VIRTUAL_PATH_OUTPUTS) / CONVERSATION_HISTORY_DIR_NAME).as_posix()
__all__ = [
"VIRTUAL_PATH_PREFIX",
@@ -21,8 +25,12 @@ __all__ = [
"WORKSPACE_AGENTS_PROMPT_FILE_NAME",
"UPLOADS_DIR_NAME",
"OUTPUTS_DIR_NAME",
+ "LARGE_TOOL_RESULTS_DIR_NAME",
+ "CONVERSATION_HISTORY_DIR_NAME",
"VIRTUAL_PATH_WORKSPACE",
"VIRTUAL_PATH_UPLOADS",
"VIRTUAL_PATH_OUTPUTS",
+ "VIRTUAL_PATH_LARGE_TOOL_RESULTS",
+ "VIRTUAL_PATH_CONVERSATION_HISTORY",
"VIRTUAL_SKILLS_PATH",
]
diff --git a/backend/test/integration/api/test_viewer_filesystem_router.py b/backend/test/integration/api/test_viewer_filesystem_router.py
index 7f8a3712..cf524fdf 100644
--- a/backend/test/integration/api/test_viewer_filesystem_router.py
+++ b/backend/test/integration/api/test_viewer_filesystem_router.py
@@ -4,7 +4,9 @@ from __future__ import annotations
import importlib
import uuid
+from types import SimpleNamespace
+from fastapi import HTTPException
import pytest
from yuxi.agents.backends.sandbox import (
ensure_thread_dirs,
@@ -95,8 +97,8 @@ async def test_viewer_tree_root_does_not_require_sandbox_listing(test_client, st
thread_id = await _create_thread_for_user(test_client, headers)
class _FailingSandbox:
- def ls_info(self, path):
- raise AssertionError(f"sandbox ls_info should not be used for root path: {path}")
+ def ls(self, path):
+ raise AssertionError(f"sandbox ls should not be used for root path: {path}")
class _EmptyBackend:
def has_entries(self):
@@ -131,8 +133,8 @@ async def test_viewer_tree_user_data_uses_local_thread_directory(test_client, st
actual_path.write_text("viewer tree", encoding="utf-8")
class _FailingSandbox:
- def ls_info(self, path):
- raise AssertionError(f"sandbox ls_info should not be used for user-data path: {path}")
+ def ls(self, path):
+ raise AssertionError(f"sandbox ls should not be used for user-data path: {path}")
class _EmptyBackend:
def has_entries(self):
@@ -448,6 +450,7 @@ async def test_viewer_delete_rejects_readonly_namespace_directory(test_client, s
@pytest.mark.parametrize(
"protected_path",
[
+ "/home/gem/user-data",
"/home/gem/user-data/workspace",
"/home/gem/user-data/uploads",
"/home/gem/user-data/outputs",
@@ -471,6 +474,30 @@ async def test_viewer_delete_rejects_protected_user_data_root_directories(
assert response.json()["detail"] == "当前目录不允许删除"
+async def test_delete_viewer_file_rejects_user_data_root_without_removing(monkeypatch):
+ from yuxi.services import viewer_filesystem_service as service_module
+
+ async def _fake_resolve_viewer_state(**kwargs):
+ return object(), object(), []
+
+ def _fail_rmtree(path):
+ raise AssertionError(f"unexpected root removal: {path}")
+
+ monkeypatch.setattr(service_module, "_resolve_viewer_state", _fake_resolve_viewer_state)
+ monkeypatch.setattr(service_module.shutil, "rmtree", _fail_rmtree)
+
+ with pytest.raises(HTTPException) as exc_info:
+ await service_module.delete_viewer_file(
+ thread_id="thread-1",
+ path="/home/gem/user-data",
+ current_user=SimpleNamespace(uid="user-1"),
+ db=None,
+ )
+
+ assert exc_info.value.status_code == 400
+ assert exc_info.value.detail == "当前目录不允许删除"
+
+
async def test_viewer_create_directory_adds_workspace_folder(test_client, standard_user):
headers = standard_user["headers"]
uid = str(standard_user["user"]["uid"])
diff --git a/backend/test/integration/api/test_viewer_filesystem_security.py b/backend/test/integration/api/test_viewer_filesystem_security.py
index 6eaff435..5e0208ef 100644
--- a/backend/test/integration/api/test_viewer_filesystem_security.py
+++ b/backend/test/integration/api/test_viewer_filesystem_security.py
@@ -9,15 +9,12 @@ pytestmark = [pytest.mark.asyncio, pytest.mark.integration]
async def _create_thread_for_user(test_client, headers: dict[str, str]) -> str:
- agents_resp = await test_client.get("/api/chat/agent", headers=headers)
- assert agents_resp.status_code == 200, agents_resp.text
- agents = agents_resp.json().get("agents", [])
- if not agents:
- pytest.skip("No agents available for viewer filesystem integration tests.")
-
- agent_id = agents[0].get("id")
+ agent_resp = await test_client.get("/api/agent/default", headers=headers)
+ assert agent_resp.status_code == 200, agent_resp.text
+ agent = agent_resp.json().get("agent") or {}
+ agent_id = agent.get("slug") or agent.get("id")
if not agent_id:
- pytest.skip("Agent payload missing id field.")
+ pytest.skip("Default agent payload missing id field.")
create_resp = await test_client.post(
"/api/chat/thread",
diff --git a/backend/test/unit/agents/toolkits/buildin/test_install_skill.py b/backend/test/unit/agents/toolkits/buildin/test_install_skill.py
index 4e46000e..85cf3f9c 100644
--- a/backend/test/unit/agents/toolkits/buildin/test_install_skill.py
+++ b/backend/test/unit/agents/toolkits/buildin/test_install_skill.py
@@ -7,6 +7,7 @@ from types import SimpleNamespace
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
+from deepagents.backends.protocol import LsResult
from langgraph.types import Command
from yuxi.agents.toolkits.buildin.install_skill import (
@@ -112,13 +113,15 @@ def test_download_skill_dir_preserves_nested_files(tmp_path):
calls = []
class Backend:
- def ls_info(self, path):
+ def ls(self, path):
if path.endswith("/demo"):
- return [
- {"path": f"{path}/SKILL.md", "is_dir": False},
- {"path": f"{path}/scripts", "is_dir": True},
- ]
- return [{"path": f"{path}/run.py", "is_dir": False}]
+ return LsResult(
+ entries=[
+ {"path": f"{path}/SKILL.md", "is_dir": False},
+ {"path": f"{path}/scripts", "is_dir": True},
+ ]
+ )
+ return LsResult(entries=[{"path": f"{path}/run.py", "is_dir": False}])
def download_files(self, paths):
calls.append(paths)
@@ -142,8 +145,8 @@ def test_download_skill_dir_raises_on_download_error(tmp_path):
"""_download_skill_dir should fail instead of importing a partial skill."""
class Backend:
- def ls_info(self, path):
- return [{"path": f"{path}/SKILL.md", "is_dir": False}]
+ def ls(self, path):
+ return LsResult(entries=[{"path": f"{path}/SKILL.md", "is_dir": False}])
def download_files(self, paths):
return [SimpleNamespace(path=paths[0], content=None, error="file_not_found")]
diff --git a/backend/test/unit/backends/test_sandbox_backends.py b/backend/test/unit/backends/test_sandbox_backends.py
index f7602f87..0352fa77 100644
--- a/backend/test/unit/backends/test_sandbox_backends.py
+++ b/backend/test/unit/backends/test_sandbox_backends.py
@@ -5,10 +5,16 @@ from __future__ import annotations
from types import MethodType, SimpleNamespace
import pytest
-from yuxi.agents.backends.composite import create_agent_composite_backend
+from deepagents.backends.protocol import GlobResult
+from yuxi.agents.backends.composite import (
+ CustomCompositeBackend,
+ create_agent_composite_backend,
+ create_agent_filesystem_middleware,
+)
from yuxi.agents.backends.sandbox import resolve_virtual_path, sandbox_id_for_thread
from yuxi.agents.backends.sandbox.backend import ProvisionerSandboxBackend
from yuxi.agents.middlewares.skills_middleware import SkillsMiddleware
+from yuxi.utils.paths import VIRTUAL_PATH_CONVERSATION_HISTORY, VIRTUAL_PATH_LARGE_TOOL_RESULTS
def _runtime(
@@ -40,6 +46,7 @@ def test_create_agent_composite_backend_uses_prepared_readable_skills(monkeypatc
assert isinstance(backend.default, ProvisionerSandboxBackend)
assert backend.default._readable_skills == ["reporter"]
+ assert backend.artifacts_root == "/home/gem/user-data/outputs"
assert "/skills/" in backend.routes
assert "/home/gem/kbs/" not in backend.routes
@@ -57,6 +64,35 @@ def test_create_agent_composite_backend_ignores_unprepared_context_skills(monkey
assert backend.default._readable_skills == []
+def test_create_agent_filesystem_middleware_uses_outputs_for_internal_artifacts() -> None:
+ middleware = create_agent_filesystem_middleware(tool_token_limit_before_evict=500)
+
+ assert middleware._tool_token_limit_before_evict == 500
+ assert middleware._large_tool_results_prefix == VIRTUAL_PATH_LARGE_TOOL_RESULTS
+ assert middleware._conversation_history_prefix == VIRTUAL_PATH_CONVERSATION_HISTORY
+
+
+def test_custom_composite_glob_only_searches_routes_from_root() -> None:
+ class _Backend:
+ def __init__(self, name: str):
+ self.name = name
+ self.calls: list[tuple[str, str]] = []
+
+ def glob(self, pattern: str, path: str = "/") -> GlobResult:
+ self.calls.append((pattern, path))
+ return GlobResult(matches=[{"path": f"{path.rstrip('/')}/{self.name}.md"}])
+
+ default = _Backend("default")
+ routed = _Backend("skill")
+ backend = CustomCompositeBackend(default=default, routes={"/skills/": routed})
+
+ result = backend.glob("**/*.md", path="/home/gem/user-data")
+
+ assert result.error is None
+ assert default.calls == [("**/*.md", "/home/gem/user-data")]
+ assert routed.calls == []
+
+
def test_skills_middleware_extracts_slug_for_new_paths() -> None:
middleware = SkillsMiddleware()
assert middleware.skills_sources_for_prompt == ["/home/gem/skills/"]
@@ -82,6 +118,73 @@ def test_sandbox_id_for_thread_is_stable():
assert len(sid1) == 12
+def test_provisioner_denies_reads_outside_allowed_roots(monkeypatch) -> None:
+ monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
+ backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
+
+ result = backend.read("/etc/passwd")
+
+ assert result.error == "permission denied for read on '/etc/passwd'"
+
+
+def test_provisioner_denies_upload_writes(monkeypatch) -> None:
+ monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
+ backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
+
+ write_result = backend.write("/home/gem/user-data/uploads/blocked.txt", "blocked")
+ upload_result = backend.upload_files([("/home/gem/user-data/uploads/blocked.bin", b"blocked")])
+
+ assert write_result.error and "permission denied" in write_result.error
+ assert upload_result[0].error == "permission_denied"
+
+
+def test_provisioner_allows_outputs_writes(monkeypatch) -> None:
+ monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
+ backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
+
+ def _missing_file(path, offset=0, limit=None):
+ raise FileNotFoundError
+
+ monkeypatch.setattr(backend, "_read_binary", _missing_file)
+
+ calls = []
+
+ def _write_file(**kwargs):
+ calls.append(kwargs)
+ return SimpleNamespace(success=True, message="")
+
+ fake_client = SimpleNamespace(file=SimpleNamespace(write_file=_write_file))
+ backend._get_client = MethodType(lambda self: fake_client, backend)
+
+ result = backend.write("/home/gem/user-data/outputs/report.md", "ok")
+
+ assert result.error is None
+ assert result.path == "/home/gem/user-data/outputs/report.md"
+ assert calls[0]["file"] == "/home/gem/user-data/outputs/report.md"
+
+
+def test_provisioner_glob_root_searches_readable_roots(monkeypatch) -> None:
+ monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
+ backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
+ calls = []
+
+ def _find_files(**kwargs):
+ calls.append(kwargs)
+ return SimpleNamespace(data=SimpleNamespace(files=[f"{kwargs['path']}/match.md"]))
+
+ fake_client = SimpleNamespace(file=SimpleNamespace(find_files=_find_files))
+ backend._get_client = MethodType(lambda self: fake_client, backend)
+
+ result = backend.glob("**/*.md")
+
+ assert result.error is None
+ assert [call["path"] for call in calls] == ["/home/gem/user-data", "/home/gem/skills"]
+ assert [item["path"] for item in result.matches] == [
+ "/home/gem/skills/match.md",
+ "/home/gem/user-data/match.md",
+ ]
+
+
def test_provisioner_read_reports_binary_files(monkeypatch) -> None:
monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
@@ -89,21 +192,27 @@ def test_provisioner_read_reports_binary_files(monkeypatch) -> None:
result = backend.read("/home/gem/user-data/image.png")
- assert result == "Error: File '/home/gem/user-data/image.png' is binary and cannot be rendered as text"
+ assert result.error is None
+ assert result.file_data is not None
+ assert result.file_data["encoding"] == "base64"
def test_provisioner_read_reports_invalid_path(monkeypatch) -> None:
monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
- def _raise_invalid_path(path, offset=0, limit=None):
- raise ValueError("path traversal is not allowed")
+ result = backend.read("secret.txt")
- monkeypatch.setattr(backend, "_read_binary", _raise_invalid_path)
+ assert result.error == "Invalid path 'secret.txt': path must start with /"
- result = backend.read("../secret.txt")
- assert result == "Error: Invalid path '../secret.txt': path traversal is not allowed"
+def test_provisioner_read_reports_path_traversal(monkeypatch) -> None:
+ monkeypatch.setattr("yuxi.agents.backends.sandbox.backend.get_sandbox_provider", lambda: object())
+ backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
+
+ result = backend.read("/home/gem/user-data/../secret.txt")
+
+ assert result.error == "Invalid path '/home/gem/user-data/../secret.txt': path traversal is not allowed"
def test_provisioner_download_files_distinguishes_invalid_path_from_read_failure(monkeypatch) -> None:
@@ -111,13 +220,11 @@ def test_provisioner_download_files_distinguishes_invalid_path_from_read_failure
backend = ProvisionerSandboxBackend(thread_id="thread-1", uid="user-1")
def _fake_read_binary(path, offset=0, limit=None):
- if path == "/bad-path":
- raise ValueError("path is required")
raise RuntimeError("sandbox read timeout")
monkeypatch.setattr(backend, "_read_binary", _fake_read_binary)
- responses = backend.download_files(["/bad-path", "/read-failed"])
+ responses = backend.download_files(["bad-path", "/home/gem/user-data/read-failed"])
assert responses[0].error == "invalid_path"
assert responses[1].error.startswith("read_failed")
diff --git a/backend/test/unit/backends/test_skills_backend.py b/backend/test/unit/backends/test_skills_backend.py
index 86ea4fdc..685c277a 100644
--- a/backend/test/unit/backends/test_skills_backend.py
+++ b/backend/test/unit/backends/test_skills_backend.py
@@ -24,8 +24,8 @@ def test_selected_skills_backend_none_exposes_no_skills(tmp_path, monkeypatch):
backend = skills_backend.SelectedSkillsReadonlyBackend(selected_slugs=None)
- assert backend.ls_info("/") == []
- assert "Access denied" in backend.read("/alpha/SKILL.md")
+ assert backend.ls("/").entries == []
+ assert backend.read("/alpha/SKILL.md").error == "Access denied: file is outside selected skills."
def test_selected_skills_backend_readonly_and_visible_only_selected(tmp_path, monkeypatch):
@@ -34,15 +34,17 @@ def test_selected_skills_backend_readonly_and_visible_only_selected(tmp_path, mo
backend = skills_backend.SelectedSkillsReadonlyBackend(selected_slugs=["alpha"])
- root_entries = backend.ls_info("/")
- paths = sorted(entry.get("path") for entry in root_entries)
+ root_result = backend.ls("/")
+ assert root_result.error is None
+ paths = sorted(entry.get("path") for entry in (root_result.entries or []))
assert paths == ["/alpha/"]
ok_read = backend.read("/alpha/SKILL.md")
- assert "alpha" in ok_read
+ assert ok_read.file_data is not None
+ assert "alpha" in ok_read.file_data["content"]
denied_read = backend.read("/beta/SKILL.md")
- assert "Access denied" in denied_read
+ assert denied_read.error and "Access denied" in denied_read.error
write_result = backend.write("/alpha/new.md", "x")
assert write_result.error and "read-only" in write_result.error
diff --git a/backend/test/unit/backends/test_skills_backend_error_handling.py b/backend/test/unit/backends/test_skills_backend_error_handling.py
index dda25faa..5ff6d12b 100644
--- a/backend/test/unit/backends/test_skills_backend_error_handling.py
+++ b/backend/test/unit/backends/test_skills_backend_error_handling.py
@@ -9,8 +9,7 @@ from yuxi.agents.backends.skills_backend import SelectedSkillsReadonlyBackend
def test_skills_backend_read_outside_root_returns_error_message(monkeypatch) -> None:
def _fake_read(self, file_path: str, offset: int = 0, limit: int = 2000):
raise ValueError(
- "Path:/app/package/yuxi/agents/skills/buildin/reporter "
- "outside root directory: /app/saves/skills"
+ "Path:/app/package/yuxi/agents/skills/buildin/reporter outside root directory: /app/saves/skills"
)
monkeypatch.setattr(FilesystemBackend, "read", _fake_read)
@@ -20,12 +19,12 @@ def test_skills_backend_read_outside_root_returns_error_message(monkeypatch) ->
backend.read("/reporter/SKILL.md")
-def test_skills_backend_ls_info_outside_root_returns_empty(monkeypatch) -> None:
- def _fake_ls_info(self, path: str):
+def test_skills_backend_ls_outside_root_raises(monkeypatch) -> None:
+ def _fake_ls(self, path: str):
raise ValueError("Path outside root directory")
- monkeypatch.setattr(FilesystemBackend, "ls_info", _fake_ls_info)
+ monkeypatch.setattr(FilesystemBackend, "ls", _fake_ls)
backend = SelectedSkillsReadonlyBackend(selected_slugs=["reporter"])
with pytest.raises(ValueError, match="outside root directory"):
- backend.ls_info("/reporter")
+ backend.ls("/reporter")
diff --git a/backend/test/unit/middlewares/test_skills_middleware.py b/backend/test/unit/middlewares/test_skills_middleware.py
index d36bb39a..f4dd2098 100644
--- a/backend/test/unit/middlewares/test_skills_middleware.py
+++ b/backend/test/unit/middlewares/test_skills_middleware.py
@@ -3,13 +3,17 @@ from __future__ import annotations
from types import SimpleNamespace
import pytest
-from langchain_core.messages import ToolMessage
+from langchain_core.messages import SystemMessage, ToolMessage
from langgraph.types import Command
import yuxi.agents.middlewares.skills_middleware as skills_middleware
from yuxi.agents.middlewares.skills_middleware import SkillsMiddleware, resolve_runtime_skills_for_context
+def _system_message_text(message: SystemMessage) -> str:
+ return "\n".join(block.get("text", "") for block in message.content_blocks if isinstance(block, dict))
+
+
@pytest.mark.asyncio
async def test_resolve_runtime_skills_derives_prompt_and_readable_closure(monkeypatch):
async def fake_list_skills_from_db(db=None, user=None):
@@ -47,9 +51,9 @@ async def test_resolve_runtime_skills_derives_prompt_and_readable_closure(monkey
@pytest.mark.asyncio
-async def test_skills_prompt_uses_prepared_prompt_skills():
+async def test_skills_prompt_uses_prepared_prompt_skills_at_request_level():
context = SimpleNamespace(
- system_prompt="base",
+ system_prompt="context base",
skills=["configured-only"],
_prompt_skills=["alpha"],
_runtime_skill_metadata={
@@ -66,12 +70,34 @@ async def test_skills_prompt_uses_prepared_prompt_skills():
},
)
- await SkillsMiddleware().abefore_agent({}, SimpleNamespace(context=context))
+ class FakeRequest:
+ def __init__(self, *, system_message=None, tools=None):
+ self.runtime = SimpleNamespace(context=context)
+ self.state = {}
+ self.tools = tools or []
+ self.system_message = system_message or SystemMessage(content="base")
- assert "base" in context.system_prompt
- assert "Alpha" in context.system_prompt
- assert "Configured Only" not in context.system_prompt
- assert getattr(context, "_skills_prompt_injected") is True
+ def override(self, **kwargs):
+ return FakeRequest(
+ system_message=kwargs.get("system_message", self.system_message),
+ tools=kwargs.get("tools", self.tools),
+ )
+
+ captured = {}
+
+ async def handler(request):
+ captured["system_message"] = request.system_message
+ return "ok"
+
+ result = await SkillsMiddleware().awrap_model_call(FakeRequest(), handler)
+ prompt_text = _system_message_text(captured["system_message"])
+
+ assert result == "ok"
+ assert "base" in prompt_text
+ assert "Alpha" in prompt_text
+ assert "Configured Only" not in prompt_text
+ assert context.system_prompt == "context base"
+ assert not hasattr(context, "_skills_prompt_injected")
assert not hasattr(context, "_visible_skills")
diff --git a/backend/test/unit/middlewares/test_summary_middleware.py b/backend/test/unit/middlewares/test_summary_middleware.py
index 935d393e..f0d401de 100644
--- a/backend/test/unit/middlewares/test_summary_middleware.py
+++ b/backend/test/unit/middlewares/test_summary_middleware.py
@@ -3,11 +3,11 @@ from __future__ import annotations
from types import SimpleNamespace
import pytest
-from langchain_core.messages import AIMessage, HumanMessage, SystemMessage, ToolMessage
+from deepagents.middleware.summarization import SummarizationMiddleware
-import yuxi.agents.middlewares.summary_middleware as summary_middleware
-from yuxi.agents.middlewares.summary_middleware import SummaryOffloadMiddleware
-from yuxi.utils.paths import VIRTUAL_PATH_OUTPUTS
+from yuxi.agents.backends.composite import create_agent_composite_backend
+from yuxi.agents.middlewares.summary_middleware import create_summary_middleware
+from yuxi.utils.paths import VIRTUAL_PATH_CONVERSATION_HISTORY, VIRTUAL_PATH_LARGE_TOOL_RESULTS
class _DummyModel:
@@ -19,120 +19,18 @@ class _DummyModel:
@pytest.mark.unit
-def test_offload_tool_result_writes_readable_outputs_path(monkeypatch: pytest.MonkeyPatch) -> None:
- captured: dict[str, str] = {}
-
- def _fake_write(_runtime, file_path: str, content: str) -> tuple[bool, dict]:
- captured["file_path"] = file_path
- captured["content"] = content
- return True, {}
-
- monkeypatch.setattr(summary_middleware, "_write_offloaded_content", _fake_write)
-
- message = ToolMessage(content="line1\nline2", tool_call_id="tool-1", name="search", id="msg-1")
- result = summary_middleware._offload_tool_result(
- message,
- threshold=1,
- token_counter=lambda _messages: 10,
- runtime=SimpleNamespace(),
- )
-
- assert result == {}
- assert captured["file_path"] == f"{VIRTUAL_PATH_OUTPUTS}/summary_offload/search-msg-1.txt"
- assert captured["content"].startswith("=== Tool Invocation ===\nTool: search\nTool Call ID: tool-1\n")
- assert "文件路径: " in str(message.content)
- assert captured["file_path"] in str(message.content)
-
-
-@pytest.mark.unit
-def test_offload_tool_result_skips_non_text_content(monkeypatch: pytest.MonkeyPatch) -> None:
- called = False
-
- def _fake_write(_runtime, _file_path: str, _content: str) -> tuple[bool, dict]:
- nonlocal called
- called = True
- return True, {}
-
- monkeypatch.setattr(summary_middleware, "_write_offloaded_content", _fake_write)
-
- message = ToolMessage(
- content=[{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": "abc"}}],
- tool_call_id="tool-1",
- name="read_file",
- id="msg-2",
- )
-
- result = summary_middleware._offload_tool_result(
- message,
- threshold=1,
- token_counter=lambda _messages: 10,
- runtime=SimpleNamespace(),
- )
-
- assert result is None
- assert called is False
- assert message.content[0]["type"] == "image"
-
-
-@pytest.mark.unit
-def test_before_model_excludes_system_message_from_summary(monkeypatch: pytest.MonkeyPatch) -> None:
- middleware = SummaryOffloadMiddleware(
+def test_create_summary_middleware_uses_deepagents_with_yuxi_outputs_root() -> None:
+ middleware = create_summary_middleware(
model=_DummyModel(),
- trigger=("tokens", 10),
- keep=("messages", 1),
- token_counter=lambda _messages: 100,
- summary_offload_threshold=10_000,
- max_retention_ratio=0.5,
- )
- captured_ids: list[str] = []
-
- monkeypatch.setattr(summary_middleware, "_offload_tool_results", lambda *args, **kwargs: ({}, []))
- monkeypatch.setattr(middleware, "_find_cutoff_by_token_limit", lambda _messages, _limit: 2)
- monkeypatch.setattr(
- middleware,
- "_create_summary",
- lambda messages: captured_ids.extend([str(message.id) for message in messages]) or "summary",
+ trigger=("tokens", 90_000),
+ keep=("tokens", 45_000),
+ trim_tokens_to_summarize=4000,
)
- messages = [
- SystemMessage(content="sys", id="sys-1"),
- HumanMessage(content="human-1", id="human-1"),
- AIMessage(content="ai-1", id="ai-1"),
- HumanMessage(content="human-2", id="human-2"),
- ]
-
- result = middleware.before_model({"messages": messages}, SimpleNamespace())
-
- assert captured_ids == ["human-1", "ai-1"]
- assert result is not None
- new_messages = result["messages"]
- assert new_messages[1].id == "sys-1"
- assert new_messages[2].content == "Here is a summary of the conversation to date:\n\nsummary"
- assert new_messages[3].id == "human-2"
-
-
-@pytest.mark.unit
-def test_before_model_uses_keep_cutoff_for_message_trigger(monkeypatch: pytest.MonkeyPatch) -> None:
- middleware = SummaryOffloadMiddleware(
- model=_DummyModel(),
- trigger=("messages", 3),
- keep=("messages", 1),
- token_counter=lambda _messages: 1,
- summary_offload_threshold=10_000,
- )
-
- monkeypatch.setattr(summary_middleware, "_offload_tool_results", lambda *args, **kwargs: ({}, []))
- monkeypatch.setattr(middleware, "_create_summary", lambda _messages: "summary")
-
- messages = [
- HumanMessage(content="human-1", id="human-1"),
- AIMessage(content="ai-1", id="ai-1"),
- HumanMessage(content="human-2", id="human-2"),
- ]
-
- result = middleware.before_model({"messages": messages}, SimpleNamespace())
-
- assert result is not None
- new_messages = result["messages"]
- assert new_messages[1].content == "Here is a summary of the conversation to date:\n\nsummary"
- assert new_messages[2].id == "human-2"
+ assert isinstance(middleware, SummarizationMiddleware)
+ assert middleware._backend is create_agent_composite_backend
+ assert middleware._history_path_prefix == VIRTUAL_PATH_CONVERSATION_HISTORY
+ assert middleware._large_tool_results_prefix == VIRTUAL_PATH_LARGE_TOOL_RESULTS
+ assert middleware._lc_helper.trigger == ("tokens", 90_000)
+ assert middleware._lc_helper.keep == ("tokens", 45_000)
+ assert middleware._lc_helper.trim_tokens_to_summarize == 4000
diff --git a/backend/test/unit/routers/test_subagent.py b/backend/test/unit/routers/test_subagent.py
index 8ef32c90..f67c5005 100644
--- a/backend/test/unit/routers/test_subagent.py
+++ b/backend/test/unit/routers/test_subagent.py
@@ -642,6 +642,35 @@ class TestDeepAgentSubagentSelection:
assert [item["name"] for item in resolved_specs] == ["research-agent"]
assert resolved_specs[0]["tools"] == [mock_tool]
+ def test_builtin_research_subagent_uses_virtual_outputs_path(self):
+ from yuxi.agents.subagents import service as service_module
+
+ research_agent = next(item for item in service_module._DEFAULT_SUBAGENTS if item["slug"] == "research-agent")
+
+ assert "/home/gem/user-data/outputs/sub_research/xxx.md" in research_agent["system_prompt"]
+
+ def test_build_subagent_middleware_specs_uses_default_tools_for_empty_tools(self):
+ from yuxi.agents.subagents import service as service_module
+
+ default_tool = MagicMock()
+
+ specs = service_module.build_subagent_middleware_specs(
+ [
+ {
+ "slug": "empty-tools-agent",
+ "name": "empty-tools-agent",
+ "description": "",
+ "system_prompt": "s",
+ "tools": [],
+ }
+ ],
+ default_model="test-model",
+ default_tools=[default_tool],
+ include_general_purpose=False,
+ )
+
+ assert specs[0]["tools"] == [default_tool]
+
@pytest.mark.asyncio
async def test_get_subagents_from_slugs_none_selects_none(self, monkeypatch):
from yuxi.agents.subagents import service as service_module
diff --git a/backend/uv.lock b/backend/uv.lock
index 1a93f9b1..362cb7bc 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -3,10 +3,10 @@ revision = 3
requires-python = ">=3.12, <3.14"
resolution-markers = [
"(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and platform_python_implementation != 'CPython' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
- "python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
- "python_full_version >= '3.13' and sys_platform == 'darwin'",
"(python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.13' and platform_python_implementation != 'CPython' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
+ "python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
"python_full_version < '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
+ "python_full_version >= '3.13' and sys_platform == 'darwin'",
"python_full_version < '3.13' and sys_platform == 'darwin'",
]
@@ -90,11 +90,11 @@ wheels = [
[[package]]
name = "aiohappyeyeballs"
-version = "2.6.1"
+version = "2.6.2"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/33/c6/61a2d7b7572279226bb2e7f61d7a19ca7c90da0329c93fa0d560cbf288d8/aiohappyeyeballs-2.6.2.tar.gz", hash = "sha256:e202810ee718bd01fc6ef49e8ea53d023d5cb6b581076d7925aa499fa55dbe64", size = 22591, upload-time = "2026-05-20T15:12:24.631Z" }
wheels = [
- { url = "https://pypi.tuna.tsinghua.edu.cn/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/5f/fc/a7bf5b6e4e617b45f90f2d9d2a68519c249c81dd4fc2658c7a2a61c4f4b7/aiohappyeyeballs-2.6.2-py3-none-any.whl", hash = "sha256:4708045e2d7a6c6bdf8aafa8ed39649eaf926a4543b54560659129e3365953c4", size = 15062, upload-time = "2026-05-20T15:12:23.328Z" },
]
[[package]]
@@ -199,7 +199,7 @@ wheels = [
[[package]]
name = "anthropic"
-version = "0.88.0"
+version = "0.105.2"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "anyio" },
@@ -211,9 +211,9 @@ dependencies = [
{ name = "sniffio" },
{ name = "typing-extensions" },
]
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/86/68/565f13059c0a6a6fd5f96f306f2a0fb478a0e1174ec18a4df16b5fac9379/anthropic-0.88.0.tar.gz", hash = "sha256:f4c7f6863d08c869913516f08d658fe53caaf8bcc4fbea3218df343d2a876c58", size = 596654, upload-time = "2026-04-01T19:59:05.287Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/46/46/47581b8c689c743ceabf6a0f9ff48472160900ce802d26c0fb50423997b3/anthropic-0.105.2.tar.gz", hash = "sha256:0e26b90841c2dced7cc6e98d21d5517d0be33f1876b8e779f478202e28bcaa07", size = 853789, upload-time = "2026-05-29T00:21:14.104Z" }
wheels = [
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/83/75/be0c357e33a5a56c8f9db5b4212f886138d2bf59c0952d858f6b75d710ef/anthropic-0.105.2-py3-none-any.whl", hash = "sha256:e53ed5f6bf36fb1ecb9b25d8634cfd30e02fab9fb3374a0c2d5c585874757230", size = 837507, upload-time = "2026-05-29T00:21:15.528Z" },
]
[[package]]
@@ -270,15 +270,15 @@ wheels = [
[[package]]
name = "arq"
-version = "0.27.0"
+version = "0.28.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "click" },
{ name = "redis", extra = ["hiredis"] },
]
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/63/f9/0f1df9a39b36fc4df590a5f2fca010e6bc8ba2635b75f0368f41722ef24e/arq-0.27.0.tar.gz", hash = "sha256:302a16e78396923fbff0f542fee0e04c731cc549195d18d039be3cc1a3431106", size = 415951, upload-time = "2026-02-02T14:38:21.509Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/a4/81/7f9db65a89c29ba374000309b9dd95509500045df5c7e22f26c3731b7380/arq-0.28.0.tar.gz", hash = "sha256:a458188aefc2d7ee17d136f80d8fa8df1d6eba4ceebdead87e9f172d027dc311", size = 416141, upload-time = "2026-04-16T10:50:23.893Z" }
wheels = [
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/48/32/66b616976c5058d434ca2017979bfffd784888177b16b5038abcec93954a/arq-0.28.0-py3-none-any.whl", hash = "sha256:b1696bf5614d60f4172a2c0cbdc177e23ba03a5eb9acc29bd8181f4ea71fff94", size = 26061, upload-time = "2026-04-16T10:50:22.321Z" },
]
[[package]]
@@ -325,7 +325,7 @@ wheels = [
[[package]]
name = "banks"
-version = "2.4.1"
+version = "2.4.2"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "deprecated" },
@@ -335,9 +335,9 @@ dependencies = [
{ name = "platformdirs" },
{ name = "pydantic" },
]
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/47/5d/54c79aaaa9aa1278af24cae98d81d6ef635ad840f046bc2ccb5041ddeb1b/banks-2.4.1.tar.gz", hash = "sha256:8cbf1553f14c44d4f7e9c2064ad9212ce53ee4da000b2f8308d548b60db56655", size = 188033, upload-time = "2026-02-17T11:21:14.855Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/bd/51/08fb68d23f4b0f6256fe85dc86e9576941550f890b079352fba719e07b39/banks-2.4.2.tar.gz", hash = "sha256:cda6013bd377ea7b701933578bfb9370fc21ad70bc13cedfc3f5cb2c034ca3dc", size = 188633, upload-time = "2026-04-27T12:15:22.021Z" }
wheels = [
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/00/b6/8dc5477681b782e2f99de703e7a99828883364b9e03a60d3e2c47053d56a/banks-2.4.2-py3-none-any.whl", hash = "sha256:5fe407cc48c101f3e13d1cf732b83b8246003337612f13c0705d2e81f6faffb7", size = 35050, upload-time = "2026-04-27T12:15:20.785Z" },
]
[[package]]
@@ -429,11 +429,11 @@ wheels = [
[[package]]
name = "cachetools"
-version = "7.0.5"
+version = "7.1.4"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/af/dd/57fe3fdb6e65b25a5987fd2cdc7e22db0aef508b91634d2e57d22928d41b/cachetools-7.0.5.tar.gz", hash = "sha256:0cd042c24377200c1dcd225f8b7b12b0ca53cc2c961b43757e774ebe190fd990", size = 37367, upload-time = "2026-03-09T20:51:29.451Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f4/8b/0d3945a13955303b81272f759a0331e54c5c793da455e6f5706b89d2639c/cachetools-7.1.4.tar.gz", hash = "sha256:437f55a4e0c1b01a4f3077cc470e6991d47430970e36fbcb77e2be0df4fc1cd6", size = 40085, upload-time = "2026-05-21T22:40:43.376Z" }
wheels = [
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/8c/7b/1fc1c09cc0756cf25861a3be10565915953876da48bb228fb9a672b20a42/cachetools-7.1.4-py3-none-any.whl", hash = "sha256:323dc4127934744db5b54eb4924482d7edafbf9554e820d1531c2e08c0e4ef54", size = 16761, upload-time = "2026-05-21T22:40:41.845Z" },
]
[[package]]
@@ -447,11 +447,11 @@ wheels = [
[[package]]
name = "certifi"
-version = "2026.2.25"
+version = "2026.5.20"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f3/ce/ee2ecad540810a79593028e88299baeae54d346cc7a0d94b6199988b89b1/certifi-2026.5.20.tar.gz", hash = "sha256:69dea482ab64caa7b9f6aba1c6bf48bb6a5448d1c0f1b17ab42ad8c763a5344d", size = 135422, upload-time = "2026-05-20T11:46:50.073Z" }
wheels = [
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/59/8c/57e832b7af6d7c5abe66eb3fbe3a3a32f4d11ea23a1aa7131371035be991/certifi-2026.5.20-py3-none-any.whl", hash = "sha256:3c52e209ba0a4ad7aebe60436a4ab349c39e1e602e8c134221e546902ad25897", size = 134134, upload-time = "2026-05-20T11:46:48.578Z" },
]
[[package]]
@@ -491,23 +491,23 @@ wheels = [
[[package]]
name = "chardet"
-version = "7.4.0.post2"
+version = "7.4.3"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/03/4b/1fe1ade6b4d33abff0224b45a8310775b04308668ad1bdef725af8e3fcaa/chardet-7.4.0.post2.tar.gz", hash = "sha256:21a6b5ca695252c03385dcfcc8b55c27907f1fe80838aa171b1ff4e356a1bb67", size = 767694, upload-time = "2026-03-29T18:07:23.19Z" }
+sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/19/b6/9df434a8eeba2e6628c465a1dfa31034228ef79b26f76f46278f4ef7e49d/chardet-7.4.3.tar.gz", hash = "sha256:cc1d4eb92a4ec1c2df3b490836ffa46922e599d34ce0bb75cf41fd2bf6303d56", size = 784800, upload-time = "2026-04-13T21:33:39.803Z" }
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+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/df/88/09c28dad91e662ccfaa1b78f1c57badde74fc9d0b23e74aef644750ecd73/yarl-1.24.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:91e72cf093fd833483a97ee648e0c053c7c629f51ff4a0e7edd84f806b0c5617", size = 107012, upload-time = "2026-05-19T21:29:36.216Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/07/ab/9d4f69d571a94f4d112fa7e2e007200f5a54d319f58c82ac7b7baa61f5c6/yarl-1.24.2-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b3177bc0a768ef3bacceb4f272632990b7bea352f1b2f1eee9d6d6ff16516f92", size = 105887, upload-time = "2026-05-19T21:29:38.746Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/8e/9a/000b2b66c0d772a499fc531d21dab92dfeb73b640a12eed6ba89f49bb2d0/yarl-1.24.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e196952aacaf3b232e265ff02980b64d483dc0972bd49bcb061171ff22ac203a", size = 103620, upload-time = "2026-05-19T21:29:40.368Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/41/7c/7c1050f73450fbdaa3f0c72017059f00ce5e13366692f3dba25275a1083d/yarl-1.24.2-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:204e7a61ce99919c0de1bf904ab5d7aa188a129ea8f690a8f76cfb6e2844dc44", size = 100599, upload-time = "2026-05-19T21:29:42.66Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ec/b1/29e5756b3926705f5f6089bd5b9f50a56eaac550da6e260bf713ead44d04/yarl-1.24.2-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b156914620f0b9d78dc1adb3751141daee561cfec796088abb89ed49d220f1a", size = 110604, upload-time = "2026-05-19T21:29:44.632Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/a3/4b/8415bc96e9b150cde942fbac9a8182985e58f40ce5c54c34ed015407d3ee/yarl-1.24.2-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:8372a2b976cf70654b2be6619ab6068acabb35f724c0fda7b277fbf53d66a5cf", size = 105161, upload-time = "2026-05-19T21:29:46.755Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/8b/d4/cde059abfa229553b7298a2eadde2752e723d50aeedaef86ce59da2718ee/yarl-1.24.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:f9a1e9b622ca284143aab5d885848686dcd85453bb1ca9abcdb7503e64dc0056", size = 110619, upload-time = "2026-05-19T21:29:48.972Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/e7/2c/d6a6c9a61549f7b6c7e6dc6937d195bcf069582b47b7200dcd0e7b256acf/yarl-1.24.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:810e19b685c8c3c5862f6a38160a1f4e4c0916c9390024ec347b6157a45a0992", size = 107362, upload-time = "2026-05-19T21:29:51Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/92/dd/3ae5fe417e9d1c353a548553326eb9935e76b6b727161563b424cc296df3/yarl-1.24.2-cp313-cp313-win_amd64.whl", hash = "sha256:7d37fb7c38f2b6edab0f845c4f85148d4c44204f52bc127021bd2bc9fdbf1656", size = 92667, upload-time = "2026-05-19T21:29:52.743Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/10/cc/a7beb239f78f27fca1b053c8e8595e4179c02e62249b4687ec218c370c50/yarl-1.24.2-cp313-cp313-win_arm64.whl", hash = "sha256:1e831894be7c2954240e49791fa4b50c05a0dc881de2552cfe3ffd8631c7f461", size = 87069, upload-time = "2026-05-19T21:29:54.442Z" },
+ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/fd/4d/4b880086bd0d3e034d25647be1d830afc3e3f610e98c4ab3490af6b1b6d5/yarl-1.24.2-py3-none-any.whl", hash = "sha256:2783d9226db8797636cd6896e4de81feed252d1db72265686c9558d97a4d94b9", size = 53576, upload-time = "2026-05-19T21:31:03.909Z" },
]
[[package]]
@@ -5649,7 +5617,7 @@ requires-dist = [
{ name = "chardet", specifier = ">=5.0.0" },
{ name = "colorlog", specifier = ">=6.9.0" },
{ name = "dashscope", specifier = ">=1.23.2" },
- { name = "deepagents", specifier = ">=0.2.5" },
+ { name = "deepagents", specifier = ">=0.6.7" },
{ name = "docling", specifier = ">=2.68.0" },
{ name = "docx2txt", specifier = ">=0.9" },
{ name = "httpx", specifier = ">=0.27.0" },
@@ -5752,15 +5720,6 @@ test = [
{ name = "pytest-httpx", specifier = ">=0.32.0" },
]
-[[package]]
-name = "zipp"
-version = "3.23.0"
-source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
-sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
-wheels = [
- { url = "https://pypi.tuna.tsinghua.edu.cn/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
-]
-
[[package]]
name = "zstandard"
version = "0.25.0"
diff --git a/docs/develop-guides/roadmap.md b/docs/develop-guides/roadmap.md
index 34fe5c6d..133b2ffa 100644
--- a/docs/develop-guides/roadmap.md
+++ b/docs/develop-guides/roadmap.md
@@ -48,7 +48,7 @@
- 新增 Milvus 图谱检索链路：Query 可召回图谱实体和三元组，结合 Chunk 命中实体构造 seed entity，读取 Neo4j 2-hop 子图后用 igraph 执行 PPR，最终以 Chunk 为产物并通过 RRF 与原 Chunk 召回融合；检索配置改为 dataclass 元数据生成，支持 `depend_on` 控制重排序和图检索参数展示。
- 收紧用户管理部门隔离：普通管理员创建用户时固定归属本部门，用户列表、访问选项、详情、更新和删除接口均限制在本部门范围内。
- 调整 Agent 资源默认选择与运行时上下文：未显式配置工具、知识库、MCP、Skills、SubAgent 时默认启用当前用户可访问/可用的全部资源，显式保存空列表仍表示不启用对应资源；Agent 创建前统一完成最终资源权限过滤、知识库 `db_id` 可见范围派生和 Skill prompt/readable 依赖闭包派生，聊天运行时与文件系统预览复用同一结果。
-- 重构 Skills 权限与安装流程：Skill 增加 `source_type/share_config/enabled`，内置 Skill 作为启动同步入库的全局资源，不再保留前端安装/更新状态，支持启停但不允许删除；上传和远程添加统一为解析草稿后确认生效范围，管理端支持编辑生效范围与启停；Agent 运行时按当前用户可访问 Skills 派生 prompt/readable 依赖闭包并限制挂载/激活。
+- 重构 Skills 权限与安装流程：Skill 增加 `source_type/share_config/enabled`，内置 Skill 作为启动同步入库的全局资源，不再保留前端安装/更新状态，支持启停但不允许删除；上传和远程添加统一为解析草稿后确认生效范围，管理端支持编辑生效范围与启停；Agent 运行时按当前用户可访问 Skills 派生 prompt/readable 依赖闭包并限制挂载/激活，Skills prompt 改为模型请求级注入以避免污染 runtime context。
- 精简历史兼容层：移除 sandbox provisioner `local` 后端别名、ask_user_question 单问题旧协议、JWT 历史默认密钥特殊判断、内置 Skill `SKILLS.md` 文件名回退、运行事件数字 seq 兼容和前端若干旧字段回退。
- 重构知识库共享权限：`share_config` 改为全局共享、部门共享、指定人可访问三档，部门共享必须包含当前用户部门，指定人可访问必须包含当前用户，并补充权限过滤测试。
- 移除知识库沙盒文件系统映射：不再通过 `/home/gem/kbs` 暴露知识库文件树，Agent 继续使用 `query_kb` 与 `open_kb_document` 访问知识库内容。
@@ -70,6 +70,7 @@
- 标准化 Agent run/SSE 执行链路：run 创建时持久化输入消息并提交后入队，worker 统一写入 Redis Stream envelope，SSE 输出 `event/data/id`、心跳注释、`Last-Event-ID` 回放和终止 `end` 事件；前端强制使用 run API 并支持 ask_user_question 中断后以 resume run 恢复。
- 收敛后端模块边界：文档解析从 `plugins.parser` 移动到 `knowledge.parser`，内容审查从 `plugins.guard` 移动到 `services.guard`。
- 收敛文件服务边界：文件预览判断抽为独立服务，Viewer 文件系统的 workspace 分支复用用户 workspace 服务，线程运行时上下文解析从泛化 `filesystem_service` 拆出为 agent runtime helper。
+- 升级 DeepAgents 到 0.6.7 并适配新版文件系统协议：SubAgentMiddleware 改为显式 subagent spec，Skills prompt 补齐新版占位符；sandbox/skills backend 复用新版 `ReadResult`、`GlobResult`、`GrepResult` 等协议类型，文件权限在 backend 层明确区分 skills、uploads、outputs 与 workspace，保留最小 `CustomCompositeBackend` 以避免非 route glob 误扫其他 route；Agent 上下文压缩改为复用 DeepAgents SummarizationMiddleware，历史摘要与大工具结果统一 offload 到 outputs。
- 优化聊天输入 @ 文件提及：未创建 Thread 时可搜索用户 workspace，创建 Thread 后按当前对话文件优先、workspace 兜底的来源顺序搜索，并拆分 workspace/thread 缓存避免假 thread 与跨用户缓存污染；输入框与用户消息支持将 raw mention 渲染为带类型图标的引用单元，文件仅显示文件名且保留原始沙盒路径文本。
---
diff --git a/web/src/components/AgentChatComponent.vue b/web/src/components/AgentChatComponent.vue
index 22d37936..7972689f 100644
--- a/web/src/components/AgentChatComponent.vue
+++ b/web/src/components/AgentChatComponent.vue
@@ -1942,8 +1942,8 @@ watch(currentChatId, (threadId, oldThreadId) => {
border: 1px solid var(--gray-150);
border-radius: 16px;
box-shadow:
- 0 16px 40px rgba(15, 23, 42, 0.1),
- 0 2px 10px rgba(15, 23, 42, 0.06);
+ 0 16px 40px var(--shadow-1),
+ 0 2px 10px var(--shadow-0);
z-index: 20;
margin: 0 8px 8px;
margin-left: -16px;
@@ -2151,7 +2151,7 @@ watch(currentChatId, (threadId, oldThreadId) => {
max-width: 800px;
margin: 0 auto;
flex-grow: 1;
- padding: 1rem 1.5rem;
+ padding: 1rem var(--page-padding);
display: flex;
flex-direction: column;
}
diff --git a/web/src/components/AgentPanel.vue b/web/src/components/AgentPanel.vue
index d4fa8698..82694c50 100644
--- a/web/src/components/AgentPanel.vue
+++ b/web/src/components/AgentPanel.vue
@@ -760,7 +760,7 @@ watch(
min-height: 0;
display: flex;
flex-direction: column;
- padding: 0 6px;
+ padding: 6px;
}
.files-display.has-preview.with-tree .tree-pane {
diff --git a/web/src/components/MessageInputComponent.vue b/web/src/components/MessageInputComponent.vue
index d20e49d9..5f02982a 100644
--- a/web/src/components/MessageInputComponent.vue
+++ b/web/src/components/MessageInputComponent.vue
@@ -646,12 +646,22 @@ const checkMentionTrigger = () => {
// 更新提及候选项
const updateMentionItems = (query = '') => {
+ const normalizedQuery = String(query || '')
+ if (!normalizedQuery) {
+ clearTimeout(mentionSearchTimer)
+ if (activeAbortController) {
+ activeAbortController.abort()
+ activeAbortController = null
+ }
+ searchRequestId.value++
+ }
+
if (!props.mention) {
mentionItems.value = { files: [], knowledgeBases: [], mcps: [], skills: [], subagents: [] }
return
}
- const lowerQuery = query.toLowerCase()
+ const lowerQuery = normalizedQuery.toLowerCase()
const { files = [], knowledgeBases = [], mcps = [], skills = [], subagents = [] } = props.mention
const filterItems = (list) =>
@@ -686,7 +696,7 @@ const updateMentionItems = (query = '') => {
}
})
- const filteredLocalFiles = query ? filterItems(localFileItems) : []
+ const filteredLocalFiles = normalizedQuery ? filterItems(localFileItems) : []
const knowledgeItems = knowledgeBases.map((kb) => {
const kbName = kb.name || ''
@@ -749,23 +759,23 @@ const updateMentionItems = (query = '') => {
subagents: filterItems(subagentItems)
}
- if (query) {
+ if (normalizedQuery) {
const activeThreadId = props.threadId || ''
clearTimeout(mentionSearchTimer)
- mentionSearchTimer = setTimeout(async () => {
- // 物理中断之前的未完成 HTTP 请求
- if (activeAbortController) {
- activeAbortController.abort()
- }
- activeAbortController = new AbortController()
+ if (activeAbortController) {
+ activeAbortController.abort()
+ activeAbortController = null
+ }
+ searchRequestId.value++
+ const currentId = searchRequestId.value
- searchRequestId.value++
- const currentId = searchRequestId.value
+ mentionSearchTimer = setTimeout(async () => {
+ activeAbortController = new AbortController()
try {
const responseData = await searchMentionFiles(
activeThreadId,
- query,
+ normalizedQuery,
activeAbortController.signal
)
diff --git a/web/src/utils/mention_utils.js b/web/src/utils/mention_utils.js
index 5ee5b1a9..9f5e7dd0 100644
--- a/web/src/utils/mention_utils.js
+++ b/web/src/utils/mention_utils.js
@@ -9,11 +9,18 @@ export const mentionTypePrefixMap = {
}
const mentionTypePattern = Object.values(mentionTypePrefixMap).join('|')
-const mentionTokenRegex = new RegExp(`@(${mentionTypePattern}):\\S+`, 'g')
+const mentionTokenRegex = new RegExp(`@(${mentionTypePattern}):(?:"((?:\\\\.|[^"\\\\])*)"|(\\S+))`, 'g')
+
+const quoteMentionValue = (value) => String(value ?? '').replace(/\\/g, '\\\\').replace(/"/g, '\\"')
+const unquoteMentionValue = (value) => String(value ?? '').replace(/\\(["\\])/g, '$1')
export const formatMentionToken = (type, value) => {
const prefix = mentionTypePrefixMap[type] || type
- return `@${prefix}:${value}`
+ const rawValue = String(value ?? '')
+ if (/\s|["\\]/.test(rawValue)) {
+ return `@${prefix}:"${quoteMentionValue(rawValue)}"`
+ }
+ return `@${prefix}:${rawValue}`
}
export const parseMentionText = (text = '') => {
@@ -37,12 +44,13 @@ export const parseMentionText = (text = '') => {
}
const type = match[1]
- const prefix = `@${type}:`
+ const quotedValue = match[2]
+ const rawValue = match[3]
segments.push({
kind: 'mention',
raw,
type,
- value: raw.slice(prefix.length),
+ value: quotedValue !== undefined ? unquoteMentionValue(quotedValue) : rawValue,
start,
end
})
@@ -63,7 +71,7 @@ export const parseMentionText = (text = '') => {
}
const setMentionLabel = (labels, type, value, label) => {
- const rawValue = String(value || '').trim()
+ const rawValue = String(value ?? '').trim()
const displayLabel = String(label || '').trim()
if (!rawValue || !displayLabel) return
labels[`${type}:${rawValue}`] = displayLabel
@@ -112,10 +120,10 @@ export const getMentionDisplayLabel = (type, value, displayLabels = {}) => {
if (mappedLabel) return mappedLabel
if (type === 'file') {
- const normalizedPath = String(value || '').replace(/\/+$/, '')
+ const normalizedPath = String(value ?? '').replace(/\/+$/, '')
return getDisplayFileName(normalizedPath || value, '文件')
}
- return String(value || '').trim() || type
+ return String(value ?? '').trim() || type
}
export const findActiveMentionQuery = (text = '', rawCaretOffset = 0) => {