Initial commit: hardened DeerFlow factory

Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection
hardening:

- New deerflow.security package: content_delimiter, html_cleaner,
  sanitizer (8 layers — invisible chars, control chars, symbols, NFC,
  PUA, tag chars, horizontal whitespace collapse with newline/tab
  preservation, length cap)
- New deerflow.community.searx package: web_search, web_fetch,
  image_search backed by a private SearX instance, every external
  string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>>
  delimiters
- All native community web providers (ddg_search, tavily, exa,
  firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail
  stubs that raise NativeWebToolDisabledError at import time, so a
  misconfigured tool.use path fails loud rather than silently falling
  back to unsanitized output
- Native client back-doors (jina_client.py, infoquest_client.py)
  stubbed too
- Native-tool tests quarantined under tests/_disabled_native/
  (collect_ignore_glob via local conftest.py)
- Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve
  newlines and tabs so list/table structure survives
- Hardened runtime config.yaml references only the searx-backed tools
- Factory overlay (backend/) kept in sync with deer-flow tree as a
  reference / source

See HARDENING.md for the full audit trail and verification steps.
This commit is contained in:
2026-04-12 14:23:57 +02:00
commit 6de0bf9f5b
889 changed files with 173052 additions and 0 deletions

View File

@@ -0,0 +1,9 @@
from .async_provider import make_checkpointer
from .provider import checkpointer_context, get_checkpointer, reset_checkpointer
__all__ = [
"get_checkpointer",
"reset_checkpointer",
"checkpointer_context",
"make_checkpointer",
]

View File

@@ -0,0 +1,106 @@
"""Async checkpointer factory.
Provides an **async context manager** for long-running async servers that need
proper resource cleanup.
Supported backends: memory, sqlite, postgres.
Usage (e.g. FastAPI lifespan)::
from deerflow.agents.checkpointer.async_provider import make_checkpointer
async with make_checkpointer() as checkpointer:
app.state.checkpointer = checkpointer # InMemorySaver if not configured
For sync usage see :mod:`deerflow.agents.checkpointer.provider`.
"""
from __future__ import annotations
import asyncio
import contextlib
import logging
from collections.abc import AsyncIterator
from langgraph.types import Checkpointer
from deerflow.agents.checkpointer.provider import (
POSTGRES_CONN_REQUIRED,
POSTGRES_INSTALL,
SQLITE_INSTALL,
)
from deerflow.config.app_config import get_app_config
from deerflow.runtime.store._sqlite_utils import ensure_sqlite_parent_dir, resolve_sqlite_conn_str
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Async factory
# ---------------------------------------------------------------------------
@contextlib.asynccontextmanager
async def _async_checkpointer(config) -> AsyncIterator[Checkpointer]:
"""Async context manager that constructs and tears down a checkpointer."""
if config.type == "memory":
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
return
if config.type == "sqlite":
try:
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
except ImportError as exc:
raise ImportError(SQLITE_INSTALL) from exc
conn_str = resolve_sqlite_conn_str(config.connection_string or "store.db")
await asyncio.to_thread(ensure_sqlite_parent_dir, conn_str)
async with AsyncSqliteSaver.from_conn_string(conn_str) as saver:
await saver.setup()
yield saver
return
if config.type == "postgres":
try:
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
except ImportError as exc:
raise ImportError(POSTGRES_INSTALL) from exc
if not config.connection_string:
raise ValueError(POSTGRES_CONN_REQUIRED)
async with AsyncPostgresSaver.from_conn_string(config.connection_string) as saver:
await saver.setup()
yield saver
return
raise ValueError(f"Unknown checkpointer type: {config.type!r}")
# ---------------------------------------------------------------------------
# Public async context manager
# ---------------------------------------------------------------------------
@contextlib.asynccontextmanager
async def make_checkpointer() -> AsyncIterator[Checkpointer]:
"""Async context manager that yields a checkpointer for the caller's lifetime.
Resources are opened on enter and closed on exit — no global state::
async with make_checkpointer() as checkpointer:
app.state.checkpointer = checkpointer
Yields an ``InMemorySaver`` when no checkpointer is configured in *config.yaml*.
"""
config = get_app_config()
if config.checkpointer is None:
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
return
async with _async_checkpointer(config.checkpointer) as saver:
yield saver

View File

@@ -0,0 +1,191 @@
"""Sync checkpointer factory.
Provides a **sync singleton** and a **sync context manager** for LangGraph
graph compilation and CLI tools.
Supported backends: memory, sqlite, postgres.
Usage::
from deerflow.agents.checkpointer.provider import get_checkpointer, checkpointer_context
# Singleton — reused across calls, closed on process exit
cp = get_checkpointer()
# One-shot — fresh connection, closed on block exit
with checkpointer_context() as cp:
graph.invoke(input, config={"configurable": {"thread_id": "1"}})
"""
from __future__ import annotations
import contextlib
import logging
from collections.abc import Iterator
from langgraph.types import Checkpointer
from deerflow.config.app_config import get_app_config
from deerflow.config.checkpointer_config import CheckpointerConfig
from deerflow.runtime.store._sqlite_utils import resolve_sqlite_conn_str
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Error message constants — imported by aio.provider too
# ---------------------------------------------------------------------------
SQLITE_INSTALL = "langgraph-checkpoint-sqlite is required for the SQLite checkpointer. Install it with: uv add langgraph-checkpoint-sqlite"
POSTGRES_INSTALL = "langgraph-checkpoint-postgres is required for the PostgreSQL checkpointer. Install it with: uv add langgraph-checkpoint-postgres psycopg[binary] psycopg-pool"
POSTGRES_CONN_REQUIRED = "checkpointer.connection_string is required for the postgres backend"
# ---------------------------------------------------------------------------
# Sync factory
# ---------------------------------------------------------------------------
@contextlib.contextmanager
def _sync_checkpointer_cm(config: CheckpointerConfig) -> Iterator[Checkpointer]:
"""Context manager that creates and tears down a sync checkpointer.
Returns a configured ``Checkpointer`` instance. Resource cleanup for any
underlying connections or pools is handled by higher-level helpers in
this module (such as the singleton factory or context manager); this
function does not return a separate cleanup callback.
"""
if config.type == "memory":
from langgraph.checkpoint.memory import InMemorySaver
logger.info("Checkpointer: using InMemorySaver (in-process, not persistent)")
yield InMemorySaver()
return
if config.type == "sqlite":
try:
from langgraph.checkpoint.sqlite import SqliteSaver
except ImportError as exc:
raise ImportError(SQLITE_INSTALL) from exc
conn_str = resolve_sqlite_conn_str(config.connection_string or "store.db")
with SqliteSaver.from_conn_string(conn_str) as saver:
saver.setup()
logger.info("Checkpointer: using SqliteSaver (%s)", conn_str)
yield saver
return
if config.type == "postgres":
try:
from langgraph.checkpoint.postgres import PostgresSaver
except ImportError as exc:
raise ImportError(POSTGRES_INSTALL) from exc
if not config.connection_string:
raise ValueError(POSTGRES_CONN_REQUIRED)
with PostgresSaver.from_conn_string(config.connection_string) as saver:
saver.setup()
logger.info("Checkpointer: using PostgresSaver")
yield saver
return
raise ValueError(f"Unknown checkpointer type: {config.type!r}")
# ---------------------------------------------------------------------------
# Sync singleton
# ---------------------------------------------------------------------------
_checkpointer: Checkpointer | None = None
_checkpointer_ctx = None # open context manager keeping the connection alive
def get_checkpointer() -> Checkpointer:
"""Return the global sync checkpointer singleton, creating it on first call.
Returns an ``InMemorySaver`` when no checkpointer is configured in *config.yaml*.
Raises:
ImportError: If the required package for the configured backend is not installed.
ValueError: If ``connection_string`` is missing for a backend that requires it.
"""
global _checkpointer, _checkpointer_ctx
if _checkpointer is not None:
return _checkpointer
# Ensure app config is loaded before checking checkpointer config
# This prevents returning InMemorySaver when config.yaml actually has a checkpointer section
# but hasn't been loaded yet
from deerflow.config.app_config import _app_config
from deerflow.config.checkpointer_config import get_checkpointer_config
config = get_checkpointer_config()
if config is None and _app_config is None:
# Only load app config lazily when neither the app config nor an explicit
# checkpointer config has been initialized yet. This keeps tests that
# intentionally set the global checkpointer config isolated from any
# ambient config.yaml on disk.
try:
get_app_config()
except FileNotFoundError:
# In test environments without config.yaml, this is expected.
pass
config = get_checkpointer_config()
if config is None:
from langgraph.checkpoint.memory import InMemorySaver
logger.info("Checkpointer: using InMemorySaver (in-process, not persistent)")
_checkpointer = InMemorySaver()
return _checkpointer
_checkpointer_ctx = _sync_checkpointer_cm(config)
_checkpointer = _checkpointer_ctx.__enter__()
return _checkpointer
def reset_checkpointer() -> None:
"""Reset the sync singleton, forcing recreation on the next call.
Closes any open backend connections and clears the cached instance.
Useful in tests or after a configuration change.
"""
global _checkpointer, _checkpointer_ctx
if _checkpointer_ctx is not None:
try:
_checkpointer_ctx.__exit__(None, None, None)
except Exception:
logger.warning("Error during checkpointer cleanup", exc_info=True)
_checkpointer_ctx = None
_checkpointer = None
# ---------------------------------------------------------------------------
# Sync context manager
# ---------------------------------------------------------------------------
@contextlib.contextmanager
def checkpointer_context() -> Iterator[Checkpointer]:
"""Sync context manager that yields a checkpointer and cleans up on exit.
Unlike :func:`get_checkpointer`, this does **not** cache the instance —
each ``with`` block creates and destroys its own connection. Use it in
CLI scripts or tests where you want deterministic cleanup::
with checkpointer_context() as cp:
graph.invoke(input, config={"configurable": {"thread_id": "1"}})
Yields an ``InMemorySaver`` when no checkpointer is configured in *config.yaml*.
"""
config = get_app_config()
if config.checkpointer is None:
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
return
with _sync_checkpointer_cm(config.checkpointer) as saver:
yield saver