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Author SHA1 Message Date
luo jiyin 979a461af5 docs: move completed async migration to Completed Features (#2146)
- Move time.sleep() -> asyncio.sleep() from Planned to Completed Features
- Clean up duplicate entries in TODO.md

Ensures completed async optimizations are properly tracked.
2026-04-12 16:48:48 +08:00
Javen Fang ac04f2704f feat(subagents): allow model override per subagent in config.yaml (#2064)
* feat(subagents): allow model override per subagent in config.yaml

Wire the existing SubagentConfig.model field to config.yaml so users
can assign different models to different subagent types.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* test(subagents): cover model override in SubagentsAppConfig + registry

Addresses review feedback on #2064:

- registry.py: update stale inline comment — the block now applies
  timeout, max_turns AND model overrides, not just timeout.
- test_subagent_timeout_config.py: add coverage for model override
  resolution across SubagentOverrideConfig, SubagentsAppConfig
  (get_model_for + load), and registry.get_subagent_config:
  - per-agent model override is applied to registry-returned config
  - omitted `model` keeps the builtin value
  - explicit `model: null` in config.yaml is equivalent to omission
  - model override on one agent does not affect other agents
  - model override preserves all other fields (name, description,
    timeout_seconds, max_turns)
  - model override does not mutate BUILTIN_SUBAGENTS

Copilot's suggestion (3) "setting model to 'inherit' forces inheritance"
is skipped intentionally: there is no 'inherit' sentinel in the current
implementation — model is `str | None`, and None already means
"inherit from parent". Adding a sentinel would be a new feature, not
test coverage for this PR.

Tests run locally: 51 passed (37 existing + 14 new / expanded).

* test(subagents): reject empty-string model at config load time

Addresses WillemJiang's review comment on #2064 (empty-string edge case):

- subagents_config.py: add `min_length=1` to the `model` field on
  SubagentOverrideConfig. `model: ""` in config.yaml would otherwise
  bypass the `is not None` check and reach create_chat_model(name="")
  as a confusing runtime error. This is symmetric with the existing
  `ge=1` guards on timeout_seconds / max_turns, so the validation style
  stays consistent across all three override fields.
- test_subagent_timeout_config.py: add test_rejects_empty_model
  mirroring the existing test_rejects_zero / test_rejects_negative
  cases; update the docstring on test_model_accepts_any_string (now
  test_model_accepts_any_non_empty_string) to reflect the new guard.

Not addressing the first comment (validating `model` against the
`models:` section at load time) in this PR. `SubagentsAppConfig` is
scoped to the `subagents:` block and cannot see the sibling `models:`
section, so proper cross-section validation needs a second pass or a
structural change that is out of scope here — and the current behavior
is consistent with how timeout_seconds / max_turns work today. Happy to
track this as a follow-up issue covering cross-section validation
uniformly for all three fields.

Tests run locally: 52 passed in this file; 1847 passed, 18 skipped
across the full backend suite. Ruff check + format clean.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 16:40:21 +08:00
Matt Van Horn c4d273a68a feat(channels): add Discord channel integration (#1806)
* feat(channels): add Discord channel integration

Add a Discord bot channel following the existing Telegram/Slack pattern.
The bot listens for messages, creates conversation threads, and relays
responses back to Discord with 2000-char message splitting.

- DiscordChannel extends Channel base class
- Lazy imports discord.py with install hint
- Thread-based conversations (each Discord thread maps to a DeerFlow thread)
- Allowed guilds filter for access control
- File attachment support via discord.File
- Registered in service.py and manager.py

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(channels): address Copilot review suggestions for Discord integration

- Disable @everyone/@here mentions via AllowedMentions.none()
- Add 10s timeout to client close to prevent shutdown hangs
- Log publish_inbound errors via future callback instead of silently dropping
- Open file handle on caller thread to avoid cross-thread ownership issues
- Notify user in channel when thread creation fails

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(discord): resolve lint errors in Discord channel

- Replace asyncio.TimeoutError with builtin TimeoutError (UP041)
- Remove extraneous f-string prefix (F541)
- Apply ruff format

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(tests): remove fake langgraph_sdk shim from test_discord_channel

The module-level sys.modules.setdefault shim installed a fake
langgraph_sdk.errors.ConflictError during pytest collection. Because
pytest imports all test modules before running them, test_channels.py
then imported the fake ConflictError instead of the real one.

In test_handle_feishu_stream_conflict_sends_busy_message, the test
constructs ConflictError(message, response=..., body=...). The fake
only subclasses Exception (which takes no kwargs), so the construction
raised TypeError. The manager's _is_thread_busy_error check then saw a
TypeError instead of a ConflictError and fell through to the generic
'An error occurred' message.

langgraph_sdk is a real dependency, so the shim is unnecessary.
Removing it makes both test files import the same real ConflictError
and the full suite pass (1773 passed, 15 skipped).

---------

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-04-11 17:48:04 +08:00
Jason dc50a7fdfb fix(sandbox): resolve paths in read_file/write_file content for LocalSandbox (#1935)
* fix(sandbox): resolve paths in read_file/write_file content for LocalSandbox

In LocalSandbox mode, read_file and write_file now transform
container paths in file content, matching the path handling
behavior of bash tool.

- write_file: resolves virtual paths in content to system paths
  before writing, so scripts with /mnt/user-data paths work
  when executed
- read_file: reverse-resolves system paths back to virtual
  paths in returned content for consistency

This fixes scenarios where agents write Python scripts with
virtual paths, then execute them via bash tool expecting the
paths to work.

Fixes #1778

* fix(sandbox): address Copilot review — dedicated content resolver + forward-slash safety + tests

- Extract _resolve_paths_in_content() separate from _resolve_paths_in_command()
  to decouple file-content path resolution from shell-command parsing
- Normalize resolved paths to forward slashes to avoid Windows backslash
  escape issues in source files (e.g. \U in Python string literals)
- Add 4 focused tests: write resolves content, forward-slash guarantee,
  read reverse-resolves content, and write→read roundtrip

* style: fix ruff lint — remove extraneous f-string prefix

* fix(sandbox): only reverse-resolve paths in agent-written files

read_file previously applied _reverse_resolve_paths_in_output to ALL
file content, which could silently rewrite paths in user uploads and
external tool output (Willem Jiang review on #1935).

Now tracks files written through write_file in _agent_written_paths.
Only those files get reverse-resolved on read. Non-agent files are
returned as-is.

---------

Co-authored-by: JasonOA888 <JasonOA888@users.noreply.github.com>
2026-04-11 17:41:36 +08:00
ZHANG Ning 5b633449f8 fix(middleware): add per-tool-type frequency detection to LoopDetectionMiddleware (#1988)
* fix(middleware): add per-tool-type frequency detection to LoopDetectionMiddleware

The existing hash-based loop detection only catches identical tool call
sets. When the agent calls the same tool type (e.g. read_file) on many
different files, each call produces a unique hash and bypasses detection.
This causes the agent to exhaust recursion_limit, consuming 150K-225K
tokens per failed run.

Add a second detection layer that tracks cumulative call counts per tool
type per thread. Warns at 30 calls (configurable) and forces stop at 50.
The hard stop message now uses the actual returned message instead of a
hardcoded constant, so both hash-based and frequency-based stops produce
accurate diagnostics.

Also fix _apply() to use the warning message returned by
_track_and_check() for hard stops, instead of always using _HARD_STOP_MSG.

Closes #1987

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix(lint): remove unused imports and fix line length

- Remove unused _TOOL_FREQ_HARD_STOP_MSG and _TOOL_FREQ_WARNING_MSG
  imports from test file (F401)
- Break long _TOOL_FREQ_WARNING_MSG string to fit within 240 char limit (E501)

* style: apply ruff format

* test: add LRU eviction and per-thread reset coverage for frequency state

Address review feedback from @WillemJiang:
- Verify _tool_freq and _tool_freq_warned are cleaned on LRU eviction
- Add test for reset(thread_id=...) clearing only the target thread's
  frequency state while leaving others intact

* fix(makefile): route Windows shell-script targets through Git Bash (#2060)

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Asish Kumar <87874775+officialasishkumar@users.noreply.github.com>
2026-04-11 17:33:27 +08:00
yorick 02569136df fix(sandbox): improve sandbox security and preserve multimodal content (#2114)
* fix: improve sandbox security and preserve multimodal content

* Add unit test modifications for test_injects_uploaded_files_tag_into_list_content

* format updated_content

* Add regression tests for multimodal upload content and host bash default safety
2026-04-11 16:52:10 +08:00
dependabot[bot] 024ac0e464 chore(deps): bump langsmith from 0.5.2 to 0.5.18 in /frontend (#2110)
Bumps [langsmith](https://github.com/langchain-ai/langsmith-sdk) from 0.5.2 to 0.5.18.
- [Release notes](https://github.com/langchain-ai/langsmith-sdk/releases)
- [Commits](https://github.com/langchain-ai/langsmith-sdk/commits)

---
updated-dependencies:
- dependency-name: langsmith
  dependency-version: 0.5.18
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-11 14:51:21 +08:00
dependabot[bot] 19030928e0 chore(deps): bump langchain-core from 1.2.17 to 1.2.28 in /backend (#2109)
Bumps [langchain-core](https://github.com/langchain-ai/langchain) from 1.2.17 to 1.2.28.
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](https://github.com/langchain-ai/langchain/compare/langchain-core==1.2.17...langchain-core==1.2.28)

---
updated-dependencies:
- dependency-name: langchain-core
  dependency-version: 1.2.28
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-11 14:49:54 +08:00
159 changed files with 1999 additions and 15860 deletions
+1 -4
View File
@@ -24,6 +24,7 @@ INFOQUEST_API_KEY=your-infoquest-api-key
# SLACK_BOT_TOKEN=your-slack-bot-token
# SLACK_APP_TOKEN=your-slack-app-token
# TELEGRAM_BOT_TOKEN=your-telegram-bot-token
# DISCORD_BOT_TOKEN=your-discord-bot-token
# Enable LangSmith to monitor and debug your LLM calls, agent runs, and tool executions.
# LANGSMITH_TRACING=true
@@ -33,9 +34,5 @@ INFOQUEST_API_KEY=your-infoquest-api-key
# GitHub API Token
# GITHUB_TOKEN=your-github-token
# Database (only needed when config.yaml has database.backend: postgres)
# DATABASE_URL=postgresql://deerflow:password@localhost:5432/deerflow
#
# WECOM_BOT_ID=your-wecom-bot-id
# WECOM_BOT_SECRET=your-wecom-bot-secret
+1 -5
View File
@@ -13,9 +13,6 @@ FROM python:3.12-slim-bookworm AS builder
ARG NODE_MAJOR=22
ARG APT_MIRROR
ARG UV_INDEX_URL
# Optional extras to install (e.g. "postgres" for PostgreSQL support)
# Usage: docker build --build-arg UV_EXTRAS=postgres ...
ARG UV_EXTRAS
# Optionally override apt mirror for restricted networks (e.g. APT_MIRROR=mirrors.aliyun.com)
RUN if [ -n "${APT_MIRROR}" ]; then \
@@ -46,9 +43,8 @@ WORKDIR /app
COPY backend ./backend
# Install dependencies with cache mount
# When UV_EXTRAS is set (e.g. "postgres"), installs optional dependencies.
RUN --mount=type=cache,target=/root/.cache/uv \
sh -c "cd backend && UV_INDEX_URL=${UV_INDEX_URL:-https://pypi.org/simple} uv sync ${UV_EXTRAS:+--extra $UV_EXTRAS}"
sh -c "cd backend && UV_INDEX_URL=${UV_INDEX_URL:-https://pypi.org/simple} uv sync"
# ── Stage 2: Dev ──────────────────────────────────────────────────────────────
# Retains compiler toolchain from builder so startup-time `uv sync` can build
+273
View File
@@ -0,0 +1,273 @@
"""Discord channel integration using discord.py."""
from __future__ import annotations
import asyncio
import logging
import threading
from typing import Any
from app.channels.base import Channel
from app.channels.message_bus import InboundMessageType, MessageBus, OutboundMessage, ResolvedAttachment
logger = logging.getLogger(__name__)
_DISCORD_MAX_MESSAGE_LEN = 2000
class DiscordChannel(Channel):
"""Discord bot channel.
Configuration keys (in ``config.yaml`` under ``channels.discord``):
- ``bot_token``: Discord Bot token.
- ``allowed_guilds``: (optional) List of allowed Discord guild IDs. Empty = allow all.
"""
def __init__(self, bus: MessageBus, config: dict[str, Any]) -> None:
super().__init__(name="discord", bus=bus, config=config)
self._bot_token = str(config.get("bot_token", "")).strip()
self._allowed_guilds: set[int] = set()
for guild_id in config.get("allowed_guilds", []):
try:
self._allowed_guilds.add(int(guild_id))
except (TypeError, ValueError):
continue
self._client = None
self._thread: threading.Thread | None = None
self._discord_loop: asyncio.AbstractEventLoop | None = None
self._main_loop: asyncio.AbstractEventLoop | None = None
self._discord_module = None
async def start(self) -> None:
if self._running:
return
try:
import discord
except ImportError:
logger.error("discord.py is not installed. Install it with: uv add discord.py")
return
if not self._bot_token:
logger.error("Discord channel requires bot_token")
return
intents = discord.Intents.default()
intents.messages = True
intents.guilds = True
intents.message_content = True
client = discord.Client(
intents=intents,
allowed_mentions=discord.AllowedMentions.none(),
)
self._client = client
self._discord_module = discord
self._main_loop = asyncio.get_event_loop()
@client.event
async def on_message(message) -> None:
await self._on_message(message)
self._running = True
self.bus.subscribe_outbound(self._on_outbound)
self._thread = threading.Thread(target=self._run_client, daemon=True)
self._thread.start()
logger.info("Discord channel started")
async def stop(self) -> None:
self._running = False
self.bus.unsubscribe_outbound(self._on_outbound)
if self._client and self._discord_loop and self._discord_loop.is_running():
close_future = asyncio.run_coroutine_threadsafe(self._client.close(), self._discord_loop)
try:
await asyncio.wait_for(asyncio.wrap_future(close_future), timeout=10)
except TimeoutError:
logger.warning("[Discord] client close timed out after 10s")
except Exception:
logger.exception("[Discord] error while closing client")
if self._thread:
self._thread.join(timeout=10)
self._thread = None
self._client = None
self._discord_loop = None
self._discord_module = None
logger.info("Discord channel stopped")
async def send(self, msg: OutboundMessage) -> None:
target = await self._resolve_target(msg)
if target is None:
logger.error("[Discord] target not found for chat_id=%s thread_ts=%s", msg.chat_id, msg.thread_ts)
return
text = msg.text or ""
for chunk in self._split_text(text):
send_future = asyncio.run_coroutine_threadsafe(target.send(chunk), self._discord_loop)
await asyncio.wrap_future(send_future)
async def send_file(self, msg: OutboundMessage, attachment: ResolvedAttachment) -> bool:
target = await self._resolve_target(msg)
if target is None:
logger.error("[Discord] target not found for file upload chat_id=%s thread_ts=%s", msg.chat_id, msg.thread_ts)
return False
if self._discord_module is None:
return False
try:
fp = open(str(attachment.actual_path), "rb") # noqa: SIM115
file = self._discord_module.File(fp, filename=attachment.filename)
send_future = asyncio.run_coroutine_threadsafe(target.send(file=file), self._discord_loop)
await asyncio.wrap_future(send_future)
logger.info("[Discord] file uploaded: %s", attachment.filename)
return True
except Exception:
logger.exception("[Discord] failed to upload file: %s", attachment.filename)
return False
async def _on_message(self, message) -> None:
if not self._running or not self._client:
return
if message.author.bot:
return
if self._client.user and message.author.id == self._client.user.id:
return
guild = message.guild
if self._allowed_guilds:
if guild is None or guild.id not in self._allowed_guilds:
return
text = (message.content or "").strip()
if not text:
return
if self._discord_module is None:
return
if isinstance(message.channel, self._discord_module.Thread):
chat_id = str(message.channel.parent_id or message.channel.id)
thread_id = str(message.channel.id)
else:
thread = await self._create_thread(message)
if thread is None:
return
chat_id = str(message.channel.id)
thread_id = str(thread.id)
msg_type = InboundMessageType.COMMAND if text.startswith("/") else InboundMessageType.CHAT
inbound = self._make_inbound(
chat_id=chat_id,
user_id=str(message.author.id),
text=text,
msg_type=msg_type,
thread_ts=thread_id,
metadata={
"guild_id": str(guild.id) if guild else None,
"channel_id": str(message.channel.id),
"message_id": str(message.id),
},
)
inbound.topic_id = thread_id
if self._main_loop and self._main_loop.is_running():
future = asyncio.run_coroutine_threadsafe(self.bus.publish_inbound(inbound), self._main_loop)
future.add_done_callback(lambda f: logger.exception("[Discord] publish_inbound failed", exc_info=f.exception()) if f.exception() else None)
def _run_client(self) -> None:
self._discord_loop = asyncio.new_event_loop()
asyncio.set_event_loop(self._discord_loop)
try:
self._discord_loop.run_until_complete(self._client.start(self._bot_token))
except Exception:
if self._running:
logger.exception("Discord client error")
finally:
try:
if self._client and not self._client.is_closed():
self._discord_loop.run_until_complete(self._client.close())
except Exception:
logger.exception("Error during Discord shutdown")
async def _create_thread(self, message):
try:
thread_name = f"deerflow-{message.author.display_name}-{message.id}"[:100]
return await message.create_thread(name=thread_name)
except Exception:
logger.exception("[Discord] failed to create thread for message=%s (threads may be disabled or missing permissions)", message.id)
try:
await message.channel.send("Could not create a thread for your message. Please check that threads are enabled in this channel.")
except Exception:
pass
return None
async def _resolve_target(self, msg: OutboundMessage):
if not self._client or not self._discord_loop:
return None
target_ids: list[str] = []
if msg.thread_ts:
target_ids.append(msg.thread_ts)
if msg.chat_id and msg.chat_id not in target_ids:
target_ids.append(msg.chat_id)
for raw_id in target_ids:
target = await self._get_channel_or_thread(raw_id)
if target is not None:
return target
return None
async def _get_channel_or_thread(self, raw_id: str):
if not self._client or not self._discord_loop:
return None
try:
target_id = int(raw_id)
except (TypeError, ValueError):
return None
get_future = asyncio.run_coroutine_threadsafe(self._fetch_channel(target_id), self._discord_loop)
try:
return await asyncio.wrap_future(get_future)
except Exception:
logger.exception("[Discord] failed to resolve target id=%s", raw_id)
return None
async def _fetch_channel(self, target_id: int):
if not self._client:
return None
channel = self._client.get_channel(target_id)
if channel is not None:
return channel
try:
return await self._client.fetch_channel(target_id)
except Exception:
return None
@staticmethod
def _split_text(text: str) -> list[str]:
if not text:
return [""]
chunks: list[str] = []
remaining = text
while len(remaining) > _DISCORD_MAX_MESSAGE_LEN:
split_at = remaining.rfind("\n", 0, _DISCORD_MAX_MESSAGE_LEN)
if split_at <= 0:
split_at = _DISCORD_MAX_MESSAGE_LEN
chunks.append(remaining[:split_at])
remaining = remaining[split_at:].lstrip("\n")
if remaining:
chunks.append(remaining)
return chunks
+1
View File
@@ -35,6 +35,7 @@ STREAM_UPDATE_MIN_INTERVAL_SECONDS = 0.35
THREAD_BUSY_MESSAGE = "This conversation is already processing another request. Please wait for it to finish and try again."
CHANNEL_CAPABILITIES = {
"discord": {"supports_streaming": False},
"feishu": {"supports_streaming": True},
"slack": {"supports_streaming": False},
"telegram": {"supports_streaming": False},
+1
View File
@@ -15,6 +15,7 @@ logger = logging.getLogger(__name__)
# Channel name → import path for lazy loading
_CHANNEL_REGISTRY: dict[str, str] = {
"discord": "app.channels.discord:DiscordChannel",
"feishu": "app.channels.feishu:FeishuChannel",
"slack": "app.channels.slack:SlackChannel",
"telegram": "app.channels.telegram:TelegramChannel",
+1 -161
View File
@@ -1,23 +1,16 @@
import logging
import os
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from datetime import UTC
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.gateway.auth_middleware import AuthMiddleware
from app.gateway.config import get_gateway_config
from app.gateway.csrf_middleware import CSRFMiddleware
from app.gateway.deps import langgraph_runtime
from app.gateway.routers import (
agents,
artifacts,
assistants_compat,
auth,
channels,
feedback,
mcp,
memory,
models,
@@ -40,125 +33,6 @@ logging.basicConfig(
logger = logging.getLogger(__name__)
async def _ensure_admin_user(app: FastAPI) -> None:
"""Auto-create the admin user on first boot if no users exist.
After admin creation, migrate orphan threads from the LangGraph
store (metadata.owner_id unset) to the admin account. This is the
"no-auth → with-auth" upgrade path: users who ran DeerFlow without
authentication have existing LangGraph thread data that needs an
owner assigned.
No SQL persistence migration is needed: the four owner_id columns
(threads_meta, runs, run_events, feedback) only come into existence
alongside the auth module via create_all, so freshly created tables
never contain NULL-owner rows. "Existing persistence DB + new auth"
is not a supported upgrade path — fresh install or wipe-and-retry.
Multi-worker safe: relies on SQLite UNIQUE constraint to resolve
races during admin creation. Only the worker that successfully
creates/updates the admin prints the password; losers silently skip.
"""
import secrets
from app.gateway.auth.credential_file import write_initial_credentials
from app.gateway.deps import get_local_provider
def _announce_credentials(email: str, password: str, *, label: str, headline: str) -> None:
"""Write the password to a 0600 file and log the path (never the secret)."""
cred_path = write_initial_credentials(email, password, label=label)
logger.info("=" * 60)
logger.info(" %s", headline)
logger.info(" Credentials written to: %s (mode 0600)", cred_path)
logger.info(" Change it after login: Settings -> Account")
logger.info("=" * 60)
provider = get_local_provider()
user_count = await provider.count_users()
admin = None
if user_count == 0:
password = secrets.token_urlsafe(16)
try:
admin = await provider.create_user(email="admin@deerflow.dev", password=password, system_role="admin", needs_setup=True)
except ValueError:
return # Another worker already created the admin.
_announce_credentials(admin.email, password, label="initial", headline="Admin account created on first boot")
else:
# Admin exists but setup never completed — reset password so operator
# can always find it in the console without needing the CLI.
# Multi-worker guard: if admin was created less than 30s ago, another
# worker just created it and will print the password — skip reset.
admin = await provider.get_user_by_email("admin@deerflow.dev")
if admin and admin.needs_setup:
import time
age = time.time() - admin.created_at.replace(tzinfo=UTC).timestamp()
if age >= 30:
from app.gateway.auth.password import hash_password_async
password = secrets.token_urlsafe(16)
admin.password_hash = await hash_password_async(password)
admin.token_version += 1
await provider.update_user(admin)
_announce_credentials(admin.email, password, label="reset", headline="Admin account setup incomplete — password reset")
if admin is None:
return # Nothing to bind orphans to.
admin_id = str(admin.id)
# LangGraph store orphan migration — non-fatal.
# This covers the "no-auth → with-auth" upgrade path for users
# whose existing LangGraph thread metadata has no owner_id set.
store = getattr(app.state, "store", None)
if store is not None:
try:
migrated = await _migrate_orphaned_threads(store, admin_id)
if migrated:
logger.info("Migrated %d orphan LangGraph thread(s) to admin", migrated)
except Exception:
logger.exception("LangGraph thread migration failed (non-fatal)")
async def _iter_store_items(store, namespace, *, page_size: int = 500):
"""Paginated async iterator over a LangGraph store namespace.
Replaces the old hardcoded ``limit=1000`` call with a cursor-style
loop so that environments with more than one page of orphans do
not silently lose data. Terminates when a page is empty OR when a
short page arrives (indicating the last page).
"""
offset = 0
while True:
batch = await store.asearch(namespace, limit=page_size, offset=offset)
if not batch:
return
for item in batch:
yield item
if len(batch) < page_size:
return
offset += page_size
async def _migrate_orphaned_threads(store, admin_user_id: str) -> int:
"""Migrate LangGraph store threads with no owner_id to the given admin.
Uses cursor pagination so all orphans are migrated regardless of
count. Returns the number of rows migrated.
"""
migrated = 0
async for item in _iter_store_items(store, ("threads",)):
metadata = item.value.get("metadata", {})
if not metadata.get("owner_id"):
metadata["owner_id"] = admin_user_id
item.value["metadata"] = metadata
await store.aput(("threads",), item.key, item.value)
migrated += 1
return migrated
@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
"""Application lifespan handler."""
@@ -178,10 +52,6 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
async with langgraph_runtime(app):
logger.info("LangGraph runtime initialised")
# Ensure admin user exists (auto-create on first boot)
# Must run AFTER langgraph_runtime so app.state.store is available for thread migration
await _ensure_admin_user(app)
# Start IM channel service if any channels are configured
try:
from app.channels.service import start_channel_service
@@ -293,31 +163,7 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
],
)
# Auth: reject unauthenticated requests to non-public paths (fail-closed safety net)
app.add_middleware(AuthMiddleware)
# CSRF: Double Submit Cookie pattern for state-changing requests
app.add_middleware(CSRFMiddleware)
# CORS: when GATEWAY_CORS_ORIGINS is set (dev without nginx), add CORS middleware.
# In production, nginx handles CORS and no middleware is needed.
cors_origins_env = os.environ.get("GATEWAY_CORS_ORIGINS", "")
if cors_origins_env:
cors_origins = [o.strip() for o in cors_origins_env.split(",") if o.strip()]
# Validate: wildcard origin with credentials is a security misconfiguration
for origin in cors_origins:
if origin == "*":
logger.error("GATEWAY_CORS_ORIGINS contains wildcard '*' with allow_credentials=True. This is a security misconfiguration — browsers will reject the response. Use explicit scheme://host:port origins instead.")
cors_origins = [o for o in cors_origins if o != "*"]
break
if cors_origins:
app.add_middleware(
CORSMiddleware,
allow_origins=cors_origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# CORS is handled by nginx - no need for FastAPI middleware
# Include routers
# Models API is mounted at /api/models
@@ -353,12 +199,6 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
# Assistants compatibility API (LangGraph Platform stub)
app.include_router(assistants_compat.router)
# Auth API is mounted at /api/v1/auth
app.include_router(auth.router)
# Feedback API is mounted at /api/threads/{thread_id}/runs/{run_id}/feedback
app.include_router(feedback.router)
# Thread Runs API (LangGraph Platform-compatible runs lifecycle)
app.include_router(thread_runs.router)
-42
View File
@@ -1,42 +0,0 @@
"""Authentication module for DeerFlow.
This module provides:
- JWT-based authentication
- Provider Factory pattern for extensible auth methods
- UserRepository interface for storage backends (SQLite)
"""
from app.gateway.auth.config import AuthConfig, get_auth_config, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import TokenPayload, create_access_token, decode_token
from app.gateway.auth.local_provider import LocalAuthProvider
from app.gateway.auth.models import User, UserResponse
from app.gateway.auth.password import hash_password, verify_password
from app.gateway.auth.providers import AuthProvider
from app.gateway.auth.repositories.base import UserRepository
__all__ = [
# Config
"AuthConfig",
"get_auth_config",
"set_auth_config",
# Errors
"AuthErrorCode",
"AuthErrorResponse",
"TokenError",
# JWT
"TokenPayload",
"create_access_token",
"decode_token",
# Password
"hash_password",
"verify_password",
# Models
"User",
"UserResponse",
# Providers
"AuthProvider",
"LocalAuthProvider",
# Repository
"UserRepository",
]
-57
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@@ -1,57 +0,0 @@
"""Authentication configuration for DeerFlow."""
import logging
import os
import secrets
from dotenv import load_dotenv
from pydantic import BaseModel, Field
load_dotenv()
logger = logging.getLogger(__name__)
class AuthConfig(BaseModel):
"""JWT and auth-related configuration. Parsed once at startup.
Note: the ``users`` table now lives in the shared persistence
database managed by ``deerflow.persistence.engine``. The old
``users_db_path`` config key has been removed — user storage is
configured through ``config.database`` like every other table.
"""
jwt_secret: str = Field(
...,
description="Secret key for JWT signing. MUST be set via AUTH_JWT_SECRET.",
)
token_expiry_days: int = Field(default=7, ge=1, le=30)
oauth_github_client_id: str | None = Field(default=None)
oauth_github_client_secret: str | None = Field(default=None)
_auth_config: AuthConfig | None = None
def get_auth_config() -> AuthConfig:
"""Get the global AuthConfig instance. Parses from env on first call."""
global _auth_config
if _auth_config is None:
jwt_secret = os.environ.get("AUTH_JWT_SECRET")
if not jwt_secret:
jwt_secret = secrets.token_urlsafe(32)
os.environ["AUTH_JWT_SECRET"] = jwt_secret
logger.warning(
"⚠ AUTH_JWT_SECRET is not set — using an auto-generated ephemeral secret. "
"Sessions will be invalidated on restart. "
"For production, add AUTH_JWT_SECRET to your .env file: "
'python -c "import secrets; print(secrets.token_urlsafe(32))"'
)
_auth_config = AuthConfig(jwt_secret=jwt_secret)
return _auth_config
def set_auth_config(config: AuthConfig) -> None:
"""Set the global AuthConfig instance (for testing)."""
global _auth_config
_auth_config = config
@@ -1,48 +0,0 @@
"""Write initial admin credentials to a restricted file instead of logs.
Logging secrets to stdout/stderr is a well-known CodeQL finding
(py/clear-text-logging-sensitive-data) — in production those logs
get collected into ELK/Splunk/etc and become a secret sprawl
source. This helper writes the credential to a 0600 file that only
the process user can read, and returns the path so the caller can
log **the path** (not the password) for the operator to pick up.
"""
from __future__ import annotations
import os
from pathlib import Path
from deerflow.config.paths import get_paths
_CREDENTIAL_FILENAME = "admin_initial_credentials.txt"
def write_initial_credentials(email: str, password: str, *, label: str = "initial") -> Path:
"""Write the admin email + password to ``{base_dir}/admin_initial_credentials.txt``.
The file is created **atomically** with mode 0600 via ``os.open``
so the password is never world-readable, even for the single syscall
window between ``write_text`` and ``chmod``.
``label`` distinguishes "initial" (fresh creation) from "reset"
(password reset) in the file header so an operator picking up the
file after a restart can tell which event produced it.
Returns the absolute :class:`Path` to the file.
"""
target = get_paths().base_dir / _CREDENTIAL_FILENAME
target.parent.mkdir(parents=True, exist_ok=True)
content = (
f"# DeerFlow admin {label} credentials\n# This file is generated on first boot or password reset.\n# Change the password after login via Settings -> Account,\n# then delete this file.\n#\nemail: {email}\npassword: {password}\n"
)
# Atomic 0600 create-or-truncate. O_TRUNC (not O_EXCL) so the
# reset-password path can rewrite an existing file without a
# separate unlink-then-create dance.
fd = os.open(target, os.O_WRONLY | os.O_CREAT | os.O_TRUNC, 0o600)
with os.fdopen(fd, "w", encoding="utf-8") as fh:
fh.write(content)
return target.resolve()
-44
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@@ -1,44 +0,0 @@
"""Typed error definitions for auth module.
AuthErrorCode: exhaustive enum of all auth failure conditions.
TokenError: exhaustive enum of JWT decode failures.
AuthErrorResponse: structured error payload for HTTP responses.
"""
from enum import StrEnum
from pydantic import BaseModel
class AuthErrorCode(StrEnum):
"""Exhaustive list of auth error conditions."""
INVALID_CREDENTIALS = "invalid_credentials"
TOKEN_EXPIRED = "token_expired"
TOKEN_INVALID = "token_invalid"
USER_NOT_FOUND = "user_not_found"
EMAIL_ALREADY_EXISTS = "email_already_exists"
PROVIDER_NOT_FOUND = "provider_not_found"
NOT_AUTHENTICATED = "not_authenticated"
class TokenError(StrEnum):
"""Exhaustive list of JWT decode failure reasons."""
EXPIRED = "expired"
INVALID_SIGNATURE = "invalid_signature"
MALFORMED = "malformed"
class AuthErrorResponse(BaseModel):
"""Structured error response — replaces bare `detail` strings."""
code: AuthErrorCode
message: str
def token_error_to_code(err: TokenError) -> AuthErrorCode:
"""Map TokenError to AuthErrorCode — single source of truth."""
if err == TokenError.EXPIRED:
return AuthErrorCode.TOKEN_EXPIRED
return AuthErrorCode.TOKEN_INVALID
-55
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@@ -1,55 +0,0 @@
"""JWT token creation and verification."""
from datetime import UTC, datetime, timedelta
import jwt
from pydantic import BaseModel
from app.gateway.auth.config import get_auth_config
from app.gateway.auth.errors import TokenError
class TokenPayload(BaseModel):
"""JWT token payload."""
sub: str # user_id
exp: datetime
iat: datetime | None = None
ver: int = 0 # token_version — must match User.token_version
def create_access_token(user_id: str, expires_delta: timedelta | None = None, token_version: int = 0) -> str:
"""Create a JWT access token.
Args:
user_id: The user's UUID as string
expires_delta: Optional custom expiry, defaults to 7 days
token_version: User's current token_version for invalidation
Returns:
Encoded JWT string
"""
config = get_auth_config()
expiry = expires_delta or timedelta(days=config.token_expiry_days)
now = datetime.now(UTC)
payload = {"sub": user_id, "exp": now + expiry, "iat": now, "ver": token_version}
return jwt.encode(payload, config.jwt_secret, algorithm="HS256")
def decode_token(token: str) -> TokenPayload | TokenError:
"""Decode and validate a JWT token.
Returns:
TokenPayload if valid, or a specific TokenError variant.
"""
config = get_auth_config()
try:
payload = jwt.decode(token, config.jwt_secret, algorithms=["HS256"])
return TokenPayload(**payload)
except jwt.ExpiredSignatureError:
return TokenError.EXPIRED
except jwt.InvalidSignatureError:
return TokenError.INVALID_SIGNATURE
except jwt.PyJWTError:
return TokenError.MALFORMED
@@ -1,87 +0,0 @@
"""Local email/password authentication provider."""
from app.gateway.auth.models import User
from app.gateway.auth.password import hash_password_async, verify_password_async
from app.gateway.auth.providers import AuthProvider
from app.gateway.auth.repositories.base import UserRepository
class LocalAuthProvider(AuthProvider):
"""Email/password authentication provider using local database."""
def __init__(self, repository: UserRepository):
"""Initialize with a UserRepository.
Args:
repository: UserRepository implementation (SQLite)
"""
self._repo = repository
async def authenticate(self, credentials: dict) -> User | None:
"""Authenticate with email and password.
Args:
credentials: dict with 'email' and 'password' keys
Returns:
User if authentication succeeds, None otherwise
"""
email = credentials.get("email")
password = credentials.get("password")
if not email or not password:
return None
user = await self._repo.get_user_by_email(email)
if user is None:
return None
if user.password_hash is None:
# OAuth user without local password
return None
if not await verify_password_async(password, user.password_hash):
return None
return user
async def get_user(self, user_id: str) -> User | None:
"""Get user by ID."""
return await self._repo.get_user_by_id(user_id)
async def create_user(self, email: str, password: str | None = None, system_role: str = "user", needs_setup: bool = False) -> User:
"""Create a new local user.
Args:
email: User email address
password: Plain text password (will be hashed)
system_role: Role to assign ("admin" or "user")
needs_setup: If True, user must complete setup on first login
Returns:
Created User instance
"""
password_hash = await hash_password_async(password) if password else None
user = User(
email=email,
password_hash=password_hash,
system_role=system_role,
needs_setup=needs_setup,
)
return await self._repo.create_user(user)
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
"""Get user by OAuth provider and ID."""
return await self._repo.get_user_by_oauth(provider, oauth_id)
async def count_users(self) -> int:
"""Return total number of registered users."""
return await self._repo.count_users()
async def update_user(self, user: User) -> User:
"""Update an existing user."""
return await self._repo.update_user(user)
async def get_user_by_email(self, email: str) -> User | None:
"""Get user by email."""
return await self._repo.get_user_by_email(email)
-41
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@@ -1,41 +0,0 @@
"""User Pydantic models for authentication."""
from datetime import UTC, datetime
from typing import Literal
from uuid import UUID, uuid4
from pydantic import BaseModel, ConfigDict, EmailStr, Field
def _utc_now() -> datetime:
"""Return current UTC time (timezone-aware)."""
return datetime.now(UTC)
class User(BaseModel):
"""Internal user representation."""
model_config = ConfigDict(from_attributes=True)
id: UUID = Field(default_factory=uuid4, description="Primary key")
email: EmailStr = Field(..., description="Unique email address")
password_hash: str | None = Field(None, description="bcrypt hash, nullable for OAuth users")
system_role: Literal["admin", "user"] = Field(default="user")
created_at: datetime = Field(default_factory=_utc_now)
# OAuth linkage (optional)
oauth_provider: str | None = Field(None, description="e.g. 'github', 'google'")
oauth_id: str | None = Field(None, description="User ID from OAuth provider")
# Auth lifecycle
needs_setup: bool = Field(default=False, description="True for auto-created admin until setup completes")
token_version: int = Field(default=0, description="Incremented on password change to invalidate old JWTs")
class UserResponse(BaseModel):
"""Response model for user info endpoint."""
id: str
email: str
system_role: Literal["admin", "user"]
needs_setup: bool = False
-33
View File
@@ -1,33 +0,0 @@
"""Password hashing utilities using bcrypt directly."""
import asyncio
import bcrypt
def hash_password(password: str) -> str:
"""Hash a password using bcrypt."""
return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
def verify_password(plain_password: str, hashed_password: str) -> bool:
"""Verify a password against its hash."""
return bcrypt.checkpw(plain_password.encode("utf-8"), hashed_password.encode("utf-8"))
async def hash_password_async(password: str) -> str:
"""Hash a password using bcrypt (non-blocking).
Wraps the blocking bcrypt operation in a thread pool to avoid
blocking the event loop during password hashing.
"""
return await asyncio.to_thread(hash_password, password)
async def verify_password_async(plain_password: str, hashed_password: str) -> bool:
"""Verify a password against its hash (non-blocking).
Wraps the blocking bcrypt operation in a thread pool to avoid
blocking the event loop during password verification.
"""
return await asyncio.to_thread(verify_password, plain_password, hashed_password)
-24
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@@ -1,24 +0,0 @@
"""Auth provider abstraction."""
from abc import ABC, abstractmethod
class AuthProvider(ABC):
"""Abstract base class for authentication providers."""
@abstractmethod
async def authenticate(self, credentials: dict) -> "User | None":
"""Authenticate user with given credentials.
Returns User if authentication succeeds, None otherwise.
"""
...
@abstractmethod
async def get_user(self, user_id: str) -> "User | None":
"""Retrieve user by ID."""
...
# Import User at runtime to avoid circular imports
from app.gateway.auth.models import User # noqa: E402
@@ -1,97 +0,0 @@
"""User repository interface for abstracting database operations."""
from abc import ABC, abstractmethod
from app.gateway.auth.models import User
class UserNotFoundError(LookupError):
"""Raised when a user repository operation targets a non-existent row.
Subclass of :class:`LookupError` so callers that already catch
``LookupError`` for "missing entity" can keep working unchanged,
while specific call sites can pin to this class to distinguish
"concurrent delete during update" from other lookups.
"""
class UserRepository(ABC):
"""Abstract interface for user data storage.
Implement this interface to support different storage backends
(SQLite)
"""
@abstractmethod
async def create_user(self, user: User) -> User:
"""Create a new user.
Args:
user: User object to create
Returns:
Created User with ID assigned
Raises:
ValueError: If email already exists
"""
...
@abstractmethod
async def get_user_by_id(self, user_id: str) -> User | None:
"""Get user by ID.
Args:
user_id: User UUID as string
Returns:
User if found, None otherwise
"""
...
@abstractmethod
async def get_user_by_email(self, email: str) -> User | None:
"""Get user by email.
Args:
email: User email address
Returns:
User if found, None otherwise
"""
...
@abstractmethod
async def update_user(self, user: User) -> User:
"""Update an existing user.
Args:
user: User object with updated fields
Returns:
Updated User
Raises:
UserNotFoundError: If no row exists for ``user.id``. This is
a hard failure (not a no-op) so callers cannot mistake a
concurrent-delete race for a successful update.
"""
...
@abstractmethod
async def count_users(self) -> int:
"""Return total number of registered users."""
...
@abstractmethod
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
"""Get user by OAuth provider and ID.
Args:
provider: OAuth provider name (e.g. 'github', 'google')
oauth_id: User ID from the OAuth provider
Returns:
User if found, None otherwise
"""
...
@@ -1,122 +0,0 @@
"""SQLAlchemy-backed UserRepository implementation.
Uses the shared async session factory from
``deerflow.persistence.engine`` — the ``users`` table lives in the
same database as ``threads_meta``, ``runs``, ``run_events``, and
``feedback``.
Constructor takes the session factory directly (same pattern as the
other four repositories in ``deerflow.persistence.*``). Callers
construct this after ``init_engine_from_config()`` has run.
"""
from __future__ import annotations
from datetime import UTC
from uuid import UUID
from sqlalchemy import func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from app.gateway.auth.models import User
from app.gateway.auth.repositories.base import UserNotFoundError, UserRepository
from deerflow.persistence.user.model import UserRow
class SQLiteUserRepository(UserRepository):
"""Async user repository backed by the shared SQLAlchemy engine."""
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
# ── Converters ────────────────────────────────────────────────────
@staticmethod
def _row_to_user(row: UserRow) -> User:
return User(
id=UUID(row.id),
email=row.email,
password_hash=row.password_hash,
system_role=row.system_role, # type: ignore[arg-type]
# SQLite loses tzinfo on read; reattach UTC so downstream
# code can compare timestamps reliably.
created_at=row.created_at if row.created_at.tzinfo else row.created_at.replace(tzinfo=UTC),
oauth_provider=row.oauth_provider,
oauth_id=row.oauth_id,
needs_setup=row.needs_setup,
token_version=row.token_version,
)
@staticmethod
def _user_to_row(user: User) -> UserRow:
return UserRow(
id=str(user.id),
email=user.email,
password_hash=user.password_hash,
system_role=user.system_role,
created_at=user.created_at,
oauth_provider=user.oauth_provider,
oauth_id=user.oauth_id,
needs_setup=user.needs_setup,
token_version=user.token_version,
)
# ── CRUD ──────────────────────────────────────────────────────────
async def create_user(self, user: User) -> User:
"""Insert a new user. Raises ``ValueError`` on duplicate email."""
row = self._user_to_row(user)
async with self._sf() as session:
session.add(row)
try:
await session.commit()
except IntegrityError as exc:
await session.rollback()
raise ValueError(f"Email already registered: {user.email}") from exc
return user
async def get_user_by_id(self, user_id: str) -> User | None:
async with self._sf() as session:
row = await session.get(UserRow, user_id)
return self._row_to_user(row) if row is not None else None
async def get_user_by_email(self, email: str) -> User | None:
stmt = select(UserRow).where(UserRow.email == email)
async with self._sf() as session:
result = await session.execute(stmt)
row = result.scalar_one_or_none()
return self._row_to_user(row) if row is not None else None
async def update_user(self, user: User) -> User:
async with self._sf() as session:
row = await session.get(UserRow, str(user.id))
if row is None:
# Hard fail on concurrent delete: callers (reset_admin,
# password change handlers, _ensure_admin_user) all
# fetched the user just before this call, so a missing
# row here means the row vanished underneath us. Silent
# success would let the caller log "password reset" for
# a row that no longer exists.
raise UserNotFoundError(f"User {user.id} no longer exists")
row.email = user.email
row.password_hash = user.password_hash
row.system_role = user.system_role
row.oauth_provider = user.oauth_provider
row.oauth_id = user.oauth_id
row.needs_setup = user.needs_setup
row.token_version = user.token_version
await session.commit()
return user
async def count_users(self) -> int:
stmt = select(func.count()).select_from(UserRow)
async with self._sf() as session:
return await session.scalar(stmt) or 0
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
stmt = select(UserRow).where(UserRow.oauth_provider == provider, UserRow.oauth_id == oauth_id)
async with self._sf() as session:
result = await session.execute(stmt)
row = result.scalar_one_or_none()
return self._row_to_user(row) if row is not None else None
-91
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@@ -1,91 +0,0 @@
"""CLI tool to reset an admin password.
Usage:
python -m app.gateway.auth.reset_admin
python -m app.gateway.auth.reset_admin --email admin@example.com
Writes the new password to ``.deer-flow/admin_initial_credentials.txt``
(mode 0600) instead of printing it, so CI / log aggregators never see
the cleartext secret.
"""
from __future__ import annotations
import argparse
import asyncio
import secrets
import sys
from sqlalchemy import select
from app.gateway.auth.credential_file import write_initial_credentials
from app.gateway.auth.password import hash_password
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
from deerflow.persistence.user.model import UserRow
async def _run(email: str | None) -> int:
from deerflow.config import get_app_config
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine_from_config,
)
config = get_app_config()
await init_engine_from_config(config.database)
try:
sf = get_session_factory()
if sf is None:
print("Error: persistence engine not available (check config.database).", file=sys.stderr)
return 1
repo = SQLiteUserRepository(sf)
if email:
user = await repo.get_user_by_email(email)
else:
# Find first admin via direct SELECT — repository does not
# expose a "first admin" helper and we do not want to add
# one just for this CLI.
async with sf() as session:
stmt = select(UserRow).where(UserRow.system_role == "admin").limit(1)
row = (await session.execute(stmt)).scalar_one_or_none()
if row is None:
user = None
else:
user = await repo.get_user_by_id(row.id)
if user is None:
if email:
print(f"Error: user '{email}' not found.", file=sys.stderr)
else:
print("Error: no admin user found.", file=sys.stderr)
return 1
new_password = secrets.token_urlsafe(16)
user.password_hash = hash_password(new_password)
user.token_version += 1
user.needs_setup = True
await repo.update_user(user)
cred_path = write_initial_credentials(user.email, new_password, label="reset")
print(f"Password reset for: {user.email}")
print(f"Credentials written to: {cred_path} (mode 0600)")
print("Next login will require setup (new email + password).")
return 0
finally:
await close_engine()
def main() -> None:
parser = argparse.ArgumentParser(description="Reset admin password")
parser.add_argument("--email", help="Admin email (default: first admin found)")
args = parser.parse_args()
exit_code = asyncio.run(_run(args.email))
sys.exit(exit_code)
if __name__ == "__main__":
main()
-117
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@@ -1,117 +0,0 @@
"""Global authentication middleware — fail-closed safety net.
Rejects unauthenticated requests to non-public paths with 401. When a
request passes the cookie check, resolves the JWT payload to a real
``User`` object and stamps it into both ``request.state.user`` and the
``deerflow.runtime.user_context`` contextvar so that repository-layer
owner filtering works automatically via the sentinel pattern.
Fine-grained permission checks remain in authz.py decorators.
"""
from collections.abc import Callable
from fastapi import HTTPException, Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.responses import JSONResponse
from starlette.types import ASGIApp
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse
from app.gateway.authz import _ALL_PERMISSIONS, AuthContext
from deerflow.runtime.user_context import reset_current_user, set_current_user
# Paths that never require authentication.
_PUBLIC_PATH_PREFIXES: tuple[str, ...] = (
"/health",
"/docs",
"/redoc",
"/openapi.json",
)
# Exact auth paths that are public (login/register/status check).
# /api/v1/auth/me, /api/v1/auth/change-password etc. are NOT public.
_PUBLIC_EXACT_PATHS: frozenset[str] = frozenset(
{
"/api/v1/auth/login/local",
"/api/v1/auth/register",
"/api/v1/auth/logout",
"/api/v1/auth/setup-status",
}
)
def _is_public(path: str) -> bool:
stripped = path.rstrip("/")
if stripped in _PUBLIC_EXACT_PATHS:
return True
return any(path.startswith(prefix) for prefix in _PUBLIC_PATH_PREFIXES)
class AuthMiddleware(BaseHTTPMiddleware):
"""Strict auth gate: reject requests without a valid session.
Two-stage check for non-public paths:
1. Cookie presence — return 401 NOT_AUTHENTICATED if missing
2. JWT validation via ``get_optional_user_from_request`` — return 401
TOKEN_INVALID if the token is absent, malformed, expired, or the
signed user does not exist / is stale
On success, stamps ``request.state.user`` and the
``deerflow.runtime.user_context`` contextvar so that repository-layer
owner filters work downstream without every route needing a
``@require_auth`` decorator. Routes that need per-resource
authorization (e.g. "user A cannot read user B's thread by guessing
the URL") should additionally use ``@require_permission(...,
owner_check=True)`` for explicit enforcement — but authentication
itself is fully handled here.
"""
def __init__(self, app: ASGIApp) -> None:
super().__init__(app)
async def dispatch(self, request: Request, call_next: Callable) -> Response:
if _is_public(request.url.path):
return await call_next(request)
# Non-public path: require session cookie
if not request.cookies.get("access_token"):
return JSONResponse(
status_code=401,
content={
"detail": AuthErrorResponse(
code=AuthErrorCode.NOT_AUTHENTICATED,
message="Authentication required",
).model_dump()
},
)
# Strict JWT validation: reject junk/expired tokens with 401
# right here instead of silently passing through. This closes
# the "junk cookie bypass" gap (AUTH_TEST_PLAN test 7.5.8):
# without this, non-isolation routes like /api/models would
# accept any cookie-shaped string as authentication.
#
# We call the *strict* resolver so that fine-grained error
# codes (token_expired, token_invalid, user_not_found, …)
# propagate from AuthErrorCode, not get flattened into one
# generic code. BaseHTTPMiddleware doesn't let HTTPException
# bubble up, so we catch and render it as JSONResponse here.
from app.gateway.deps import get_current_user_from_request
try:
user = await get_current_user_from_request(request)
except HTTPException as exc:
return JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
# Stamp both request.state.user (for the contextvar pattern)
# and request.state.auth (so @require_permission's "auth is
# None" branch short-circuits instead of running the entire
# JWT-decode + DB-lookup pipeline a second time per request).
request.state.user = user
request.state.auth = AuthContext(user=user, permissions=_ALL_PERMISSIONS)
token = set_current_user(user)
try:
return await call_next(request)
finally:
reset_current_user(token)
-262
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@@ -1,262 +0,0 @@
"""Authorization decorators and context for DeerFlow.
Inspired by LangGraph Auth system: https://github.com/langchain-ai/langgraph/blob/main/libs/sdk-py/langgraph_sdk/auth/__init__.py
**Usage:**
1. Use ``@require_auth`` on routes that need authentication
2. Use ``@require_permission("resource", "action", filter_key=...)`` for permission checks
3. The decorator chain processes from bottom to top
**Example:**
@router.get("/{thread_id}")
@require_auth
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request):
# User is authenticated and has threads:read permission
...
**Permission Model:**
- threads:read - View thread
- threads:write - Create/update thread
- threads:delete - Delete thread
- runs:create - Run agent
- runs:read - View run
- runs:cancel - Cancel run
"""
from __future__ import annotations
import functools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any, ParamSpec, TypeVar
from fastapi import HTTPException, Request
if TYPE_CHECKING:
from app.gateway.auth.models import User
P = ParamSpec("P")
T = TypeVar("T")
# Permission constants
class Permissions:
"""Permission constants for resource:action format."""
# Threads
THREADS_READ = "threads:read"
THREADS_WRITE = "threads:write"
THREADS_DELETE = "threads:delete"
# Runs
RUNS_CREATE = "runs:create"
RUNS_READ = "runs:read"
RUNS_CANCEL = "runs:cancel"
class AuthContext:
"""Authentication context for the current request.
Stored in request.state.auth after require_auth decoration.
Attributes:
user: The authenticated user, or None if anonymous
permissions: List of permission strings (e.g., "threads:read")
"""
__slots__ = ("user", "permissions")
def __init__(self, user: User | None = None, permissions: list[str] | None = None):
self.user = user
self.permissions = permissions or []
@property
def is_authenticated(self) -> bool:
"""Check if user is authenticated."""
return self.user is not None
def has_permission(self, resource: str, action: str) -> bool:
"""Check if context has permission for resource:action.
Args:
resource: Resource name (e.g., "threads")
action: Action name (e.g., "read")
Returns:
True if user has permission
"""
permission = f"{resource}:{action}"
return permission in self.permissions
def require_user(self) -> User:
"""Get user or raise 401.
Raises:
HTTPException 401 if not authenticated
"""
if not self.user:
raise HTTPException(status_code=401, detail="Authentication required")
return self.user
def get_auth_context(request: Request) -> AuthContext | None:
"""Get AuthContext from request state."""
return getattr(request.state, "auth", None)
_ALL_PERMISSIONS: list[str] = [
Permissions.THREADS_READ,
Permissions.THREADS_WRITE,
Permissions.THREADS_DELETE,
Permissions.RUNS_CREATE,
Permissions.RUNS_READ,
Permissions.RUNS_CANCEL,
]
async def _authenticate(request: Request) -> AuthContext:
"""Authenticate request and return AuthContext.
Delegates to deps.get_optional_user_from_request() for the JWT→User pipeline.
Returns AuthContext with user=None for anonymous requests.
"""
from app.gateway.deps import get_optional_user_from_request
user = await get_optional_user_from_request(request)
if user is None:
return AuthContext(user=None, permissions=[])
# In future, permissions could be stored in user record
return AuthContext(user=user, permissions=_ALL_PERMISSIONS)
def require_auth[**P, T](func: Callable[P, T]) -> Callable[P, T]:
"""Decorator that authenticates the request and sets AuthContext.
Must be placed ABOVE other decorators (executes after them).
Usage:
@router.get("/{thread_id}")
@require_auth # Bottom decorator (executes first after permission check)
@require_permission("threads", "read")
async def get_thread(thread_id: str, request: Request):
auth: AuthContext = request.state.auth
...
Raises:
ValueError: If 'request' parameter is missing
"""
@functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> Any:
request = kwargs.get("request")
if request is None:
raise ValueError("require_auth decorator requires 'request' parameter")
# Authenticate and set context
auth_context = await _authenticate(request)
request.state.auth = auth_context
return await func(*args, **kwargs)
return wrapper
def require_permission(
resource: str,
action: str,
owner_check: bool = False,
require_existing: bool = False,
) -> Callable[[Callable[P, T]], Callable[P, T]]:
"""Decorator that checks permission for resource:action.
Must be used AFTER @require_auth.
Args:
resource: Resource name (e.g., "threads", "runs")
action: Action name (e.g., "read", "write", "delete")
owner_check: If True, validates that the current user owns the resource.
Requires 'thread_id' path parameter and performs ownership check.
require_existing: Only meaningful with ``owner_check=True``. If True, a
missing ``threads_meta`` row counts as a denial (404)
instead of "untracked legacy thread, allow". Use on
**destructive / mutating** routes (DELETE, PATCH,
state-update) so a deleted thread can't be re-targeted
by another user via the missing-row code path.
Usage:
# Read-style: legacy untracked threads are allowed
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request):
...
# Destructive: thread row MUST exist and be owned by caller
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_thread(thread_id: str, request: Request):
...
Raises:
HTTPException 401: If authentication required but user is anonymous
HTTPException 403: If user lacks permission
HTTPException 404: If owner_check=True but user doesn't own the thread
ValueError: If owner_check=True but 'thread_id' parameter is missing
"""
def decorator(func: Callable[P, T]) -> Callable[P, T]:
@functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> Any:
request = kwargs.get("request")
if request is None:
raise ValueError("require_permission decorator requires 'request' parameter")
auth: AuthContext = getattr(request.state, "auth", None)
if auth is None:
auth = await _authenticate(request)
request.state.auth = auth
if not auth.is_authenticated:
raise HTTPException(status_code=401, detail="Authentication required")
# Check permission
if not auth.has_permission(resource, action):
raise HTTPException(
status_code=403,
detail=f"Permission denied: {resource}:{action}",
)
# Owner check for thread-specific resources.
#
# 2.0-rc moved thread metadata into the SQL persistence layer
# (``threads_meta`` table). We verify ownership via
# ``ThreadMetaStore.check_access``: it returns True for
# missing rows (untracked legacy thread) and for rows whose
# ``owner_id`` is NULL (shared / pre-auth data), so this is
# strict-deny rather than strict-allow — only an *existing*
# row with a *different* owner_id triggers 404.
if owner_check:
thread_id = kwargs.get("thread_id")
if thread_id is None:
raise ValueError("require_permission with owner_check=True requires 'thread_id' parameter")
from app.gateway.deps import get_thread_meta_repo
thread_meta_repo = get_thread_meta_repo(request)
allowed = await thread_meta_repo.check_access(
thread_id,
str(auth.user.id),
require_existing=require_existing,
)
if not allowed:
raise HTTPException(
status_code=404,
detail=f"Thread {thread_id} not found",
)
return await func(*args, **kwargs)
return wrapper
return decorator
-112
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@@ -1,112 +0,0 @@
"""CSRF protection middleware for FastAPI.
Per RFC-001:
State-changing operations require CSRF protection.
"""
import secrets
from collections.abc import Callable
from fastapi import Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.responses import JSONResponse
from starlette.types import ASGIApp
CSRF_COOKIE_NAME = "csrf_token"
CSRF_HEADER_NAME = "X-CSRF-Token"
CSRF_TOKEN_LENGTH = 64 # bytes
def is_secure_request(request: Request) -> bool:
"""Detect whether the original client request was made over HTTPS."""
return request.headers.get("x-forwarded-proto", request.url.scheme) == "https"
def generate_csrf_token() -> str:
"""Generate a secure random CSRF token."""
return secrets.token_urlsafe(CSRF_TOKEN_LENGTH)
def should_check_csrf(request: Request) -> bool:
"""Determine if a request needs CSRF validation.
CSRF is checked for state-changing methods (POST, PUT, DELETE, PATCH).
GET, HEAD, OPTIONS, and TRACE are exempt per RFC 7231.
"""
if request.method not in ("POST", "PUT", "DELETE", "PATCH"):
return False
path = request.url.path.rstrip("/")
# Exempt /api/v1/auth/me endpoint
if path == "/api/v1/auth/me":
return False
return True
_AUTH_EXEMPT_PATHS: frozenset[str] = frozenset(
{
"/api/v1/auth/login/local",
"/api/v1/auth/logout",
"/api/v1/auth/register",
}
)
def is_auth_endpoint(request: Request) -> bool:
"""Check if the request is to an auth endpoint.
Auth endpoints don't need CSRF validation on first call (no token).
"""
return request.url.path.rstrip("/") in _AUTH_EXEMPT_PATHS
class CSRFMiddleware(BaseHTTPMiddleware):
"""Middleware that implements CSRF protection using Double Submit Cookie pattern."""
def __init__(self, app: ASGIApp) -> None:
super().__init__(app)
async def dispatch(self, request: Request, call_next: Callable) -> Response:
_is_auth = is_auth_endpoint(request)
if should_check_csrf(request) and not _is_auth:
cookie_token = request.cookies.get(CSRF_COOKIE_NAME)
header_token = request.headers.get(CSRF_HEADER_NAME)
if not cookie_token or not header_token:
return JSONResponse(
status_code=403,
content={"detail": "CSRF token missing. Include X-CSRF-Token header."},
)
if not secrets.compare_digest(cookie_token, header_token):
return JSONResponse(
status_code=403,
content={"detail": "CSRF token mismatch."},
)
response = await call_next(request)
# For auth endpoints that set up session, also set CSRF cookie
if _is_auth and request.method == "POST":
# Generate a new CSRF token for the session
csrf_token = generate_csrf_token()
is_https = is_secure_request(request)
response.set_cookie(
key=CSRF_COOKIE_NAME,
value=csrf_token,
httponly=False, # Must be JS-readable for Double Submit Cookie pattern
secure=is_https,
samesite="strict",
)
return response
def get_csrf_token(request: Request) -> str | None:
"""Get the CSRF token from the current request's cookies.
This is useful for server-side rendering where you need to embed
token in forms or headers.
"""
return request.cookies.get(CSRF_COOKIE_NAME)
+25 -180
View File
@@ -1,8 +1,7 @@
"""Centralized accessors for singleton objects stored on ``app.state``.
**Getters** (used by routers): raise 503 when a required dependency is
missing, except ``get_store`` and ``get_thread_meta_repo`` which return
``None``.
missing, except ``get_store`` which returns ``None``.
Initialization is handled directly in ``app.py`` via :class:`AsyncExitStack`.
"""
@@ -11,15 +10,10 @@ from __future__ import annotations
from collections.abc import AsyncGenerator
from contextlib import AsyncExitStack, asynccontextmanager
from typing import TYPE_CHECKING
from fastapi import FastAPI, HTTPException, Request
from deerflow.runtime import RunContext, RunManager
if TYPE_CHECKING:
from app.gateway.auth.local_provider import LocalAuthProvider
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
from deerflow.runtime import RunManager, StreamBridge
@asynccontextmanager
@@ -32,194 +26,45 @@ async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]:
yield
"""
from deerflow.agents.checkpointer.async_provider import make_checkpointer
from deerflow.config import get_app_config
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine_from_config
from deerflow.runtime import make_store, make_stream_bridge
from deerflow.runtime.events.store import make_run_event_store
async with AsyncExitStack() as stack:
app.state.stream_bridge = await stack.enter_async_context(make_stream_bridge())
# Initialize persistence engine BEFORE checkpointer so that
# auto-create-database logic runs first (postgres backend).
config = get_app_config()
await init_engine_from_config(config.database)
app.state.checkpointer = await stack.enter_async_context(make_checkpointer())
app.state.store = await stack.enter_async_context(make_store())
# Initialize repositories — one get_session_factory() call for all.
sf = get_session_factory()
if sf is not None:
from deerflow.persistence.feedback import FeedbackRepository
from deerflow.persistence.run import RunRepository
from deerflow.persistence.thread_meta import ThreadMetaRepository
app.state.run_store = RunRepository(sf)
app.state.feedback_repo = FeedbackRepository(sf)
app.state.thread_meta_repo = ThreadMetaRepository(sf)
else:
from deerflow.persistence.thread_meta import MemoryThreadMetaStore
from deerflow.runtime.runs.store.memory import MemoryRunStore
app.state.run_store = MemoryRunStore()
app.state.feedback_repo = None
app.state.thread_meta_repo = MemoryThreadMetaStore(app.state.store)
# Run event store (has its own factory with config-driven backend selection)
run_events_config = getattr(config, "run_events", None)
app.state.run_event_store = make_run_event_store(run_events_config)
# RunManager with store backing for persistence
app.state.run_manager = RunManager(store=app.state.run_store)
try:
yield
finally:
await close_engine()
app.state.run_manager = RunManager()
yield
# ---------------------------------------------------------------------------
# Getters -- called by routers per-request
# Getters called by routers per-request
# ---------------------------------------------------------------------------
def _require(attr: str, label: str):
"""Create a FastAPI dependency that returns ``app.state.<attr>`` or 503."""
def dep(request: Request):
val = getattr(request.app.state, attr, None)
if val is None:
raise HTTPException(status_code=503, detail=f"{label} not available")
return val
dep.__name__ = dep.__qualname__ = f"get_{attr}"
return dep
def get_stream_bridge(request: Request) -> StreamBridge:
"""Return the global :class:`StreamBridge`, or 503."""
bridge = getattr(request.app.state, "stream_bridge", None)
if bridge is None:
raise HTTPException(status_code=503, detail="Stream bridge not available")
return bridge
get_stream_bridge = _require("stream_bridge", "Stream bridge")
get_run_manager = _require("run_manager", "Run manager")
get_checkpointer = _require("checkpointer", "Checkpointer")
get_run_event_store = _require("run_event_store", "Run event store")
get_feedback_repo = _require("feedback_repo", "Feedback")
get_run_store = _require("run_store", "Run store")
def get_run_manager(request: Request) -> RunManager:
"""Return the global :class:`RunManager`, or 503."""
mgr = getattr(request.app.state, "run_manager", None)
if mgr is None:
raise HTTPException(status_code=503, detail="Run manager not available")
return mgr
def get_checkpointer(request: Request):
"""Return the global checkpointer, or 503."""
cp = getattr(request.app.state, "checkpointer", None)
if cp is None:
raise HTTPException(status_code=503, detail="Checkpointer not available")
return cp
def get_store(request: Request):
"""Return the global store (may be ``None`` if not configured)."""
return getattr(request.app.state, "store", None)
get_thread_meta_repo = _require("thread_meta_repo", "Thread metadata store")
def get_run_context(request: Request) -> RunContext:
"""Build a :class:`RunContext` from ``app.state`` singletons.
Returns a *base* context with infrastructure dependencies. Callers that
need per-run fields (e.g. ``follow_up_to_run_id``) should use
``dataclasses.replace(ctx, follow_up_to_run_id=...)`` before passing it
to :func:`run_agent`.
"""
from deerflow.config import get_app_config
return RunContext(
checkpointer=get_checkpointer(request),
store=get_store(request),
event_store=get_run_event_store(request),
run_events_config=getattr(get_app_config(), "run_events", None),
thread_meta_repo=get_thread_meta_repo(request),
)
# ---------------------------------------------------------------------------
# Auth helpers (used by authz.py and auth middleware)
# ---------------------------------------------------------------------------
# Cached singletons to avoid repeated instantiation per request
_cached_local_provider: LocalAuthProvider | None = None
_cached_repo: SQLiteUserRepository | None = None
def get_local_provider() -> LocalAuthProvider:
"""Get or create the cached LocalAuthProvider singleton.
Must be called after ``init_engine_from_config()`` — the shared
session factory is required to construct the user repository.
"""
global _cached_local_provider, _cached_repo
if _cached_repo is None:
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
from deerflow.persistence.engine import get_session_factory
sf = get_session_factory()
if sf is None:
raise RuntimeError("get_local_provider() called before init_engine_from_config(); cannot access users table")
_cached_repo = SQLiteUserRepository(sf)
if _cached_local_provider is None:
from app.gateway.auth.local_provider import LocalAuthProvider
_cached_local_provider = LocalAuthProvider(repository=_cached_repo)
return _cached_local_provider
async def get_current_user_from_request(request: Request):
"""Get the current authenticated user from the request cookie.
Raises HTTPException 401 if not authenticated.
"""
from app.gateway.auth import decode_token
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError, token_error_to_code
access_token = request.cookies.get("access_token")
if not access_token:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.NOT_AUTHENTICATED, message="Not authenticated").model_dump(),
)
payload = decode_token(access_token)
if isinstance(payload, TokenError):
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=token_error_to_code(payload), message=f"Token error: {payload.value}").model_dump(),
)
provider = get_local_provider()
user = await provider.get_user(payload.sub)
if user is None:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.USER_NOT_FOUND, message="User not found").model_dump(),
)
# Token version mismatch → password was changed, token is stale
if user.token_version != payload.ver:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.TOKEN_INVALID, message="Token revoked (password changed)").model_dump(),
)
return user
async def get_optional_user_from_request(request: Request):
"""Get optional authenticated user from request.
Returns None if not authenticated.
"""
try:
return await get_current_user_from_request(request)
except HTTPException:
return None
async def get_current_user(request: Request) -> str | None:
"""Extract user_id from request cookie, or None if not authenticated.
Thin adapter that returns the string id for callers that only need
identification (e.g., ``feedback.py``). Full-user callers should use
``get_current_user_from_request`` or ``get_optional_user_from_request``.
"""
user = await get_optional_user_from_request(request)
return str(user.id) if user else None
-106
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@@ -1,106 +0,0 @@
"""LangGraph Server auth handler — shares JWT logic with Gateway.
Loaded by LangGraph Server via langgraph.json ``auth.path``.
Reuses the same ``decode_token`` / ``get_auth_config`` as Gateway,
so both modes validate tokens with the same secret and rules.
Two layers:
1. @auth.authenticate — validates JWT cookie, extracts user_id,
and enforces CSRF on state-changing methods (POST/PUT/DELETE/PATCH)
2. @auth.on — returns metadata filter so each user only sees own threads
"""
import secrets
from langgraph_sdk import Auth
from app.gateway.auth.errors import TokenError
from app.gateway.auth.jwt import decode_token
from app.gateway.deps import get_local_provider
auth = Auth()
# Methods that require CSRF validation (state-changing per RFC 7231).
_CSRF_METHODS = frozenset({"POST", "PUT", "DELETE", "PATCH"})
def _check_csrf(request) -> None:
"""Enforce Double Submit Cookie CSRF check for state-changing requests.
Mirrors Gateway's CSRFMiddleware logic so that LangGraph routes
proxied directly by nginx have the same CSRF protection.
"""
method = getattr(request, "method", "") or ""
if method.upper() not in _CSRF_METHODS:
return
cookie_token = request.cookies.get("csrf_token")
header_token = request.headers.get("x-csrf-token")
if not cookie_token or not header_token:
raise Auth.exceptions.HTTPException(
status_code=403,
detail="CSRF token missing. Include X-CSRF-Token header.",
)
if not secrets.compare_digest(cookie_token, header_token):
raise Auth.exceptions.HTTPException(
status_code=403,
detail="CSRF token mismatch.",
)
@auth.authenticate
async def authenticate(request):
"""Validate the session cookie, decode JWT, and check token_version.
Same validation chain as Gateway's get_current_user_from_request:
cookie → decode JWT → DB lookup → token_version match
Also enforces CSRF on state-changing methods.
"""
# CSRF check before authentication so forged cross-site requests
# are rejected early, even if the cookie carries a valid JWT.
_check_csrf(request)
token = request.cookies.get("access_token")
if not token:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="Not authenticated",
)
payload = decode_token(token)
if isinstance(payload, TokenError):
raise Auth.exceptions.HTTPException(
status_code=401,
detail=f"Token error: {payload.value}",
)
user = await get_local_provider().get_user(payload.sub)
if user is None:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="User not found",
)
if user.token_version != payload.ver:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="Token revoked (password changed)",
)
return payload.sub
@auth.on
async def add_owner_filter(ctx: Auth.types.AuthContext, value: dict):
"""Inject owner_id metadata on writes; filter by owner_id on reads.
Gateway stores thread ownership as ``metadata.owner_id``.
This handler ensures LangGraph Server enforces the same isolation.
"""
# On create/update: stamp owner_id into metadata
metadata = value.setdefault("metadata", {})
metadata["owner_id"] = ctx.user.identity
# Return filter dict — LangGraph applies it to search/read/delete
return {"owner_id": ctx.user.identity}
-2
View File
@@ -7,7 +7,6 @@ from urllib.parse import quote
from fastapi import APIRouter, HTTPException, Request
from fastapi.responses import FileResponse, PlainTextResponse, Response
from app.gateway.authz import require_permission
from app.gateway.path_utils import resolve_thread_virtual_path
logger = logging.getLogger(__name__)
@@ -82,7 +81,6 @@ def _extract_file_from_skill_archive(zip_path: Path, internal_path: str) -> byte
summary="Get Artifact File",
description="Retrieve an artifact file generated by the AI agent. Text and binary files can be viewed inline, while active web content is always downloaded.",
)
@require_permission("threads", "read", owner_check=True)
async def get_artifact(thread_id: str, path: str, request: Request, download: bool = False) -> Response:
"""Get an artifact file by its path.
-418
View File
@@ -1,418 +0,0 @@
"""Authentication endpoints."""
import logging
import os
import time
from ipaddress import ip_address, ip_network
from fastapi import APIRouter, Depends, HTTPException, Request, Response, status
from fastapi.security import OAuth2PasswordRequestForm
from pydantic import BaseModel, EmailStr, Field, field_validator
from app.gateway.auth import (
UserResponse,
create_access_token,
)
from app.gateway.auth.config import get_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse
from app.gateway.csrf_middleware import is_secure_request
from app.gateway.deps import get_current_user_from_request, get_local_provider
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/auth", tags=["auth"])
# ── Request/Response Models ──────────────────────────────────────────────
class LoginResponse(BaseModel):
"""Response model for login — token only lives in HttpOnly cookie."""
expires_in: int # seconds
needs_setup: bool = False
# Top common-password blocklist. Drawn from the public SecLists "10k worst
# passwords" set, lowercased + length>=8 only (shorter ones already fail
# the min_length check). Kept tight on purpose: this is the **lower bound**
# defense, not a full HIBP / passlib check, and runs in-process per request.
_COMMON_PASSWORDS: frozenset[str] = frozenset(
{
"password",
"password1",
"password12",
"password123",
"password1234",
"12345678",
"123456789",
"1234567890",
"qwerty12",
"qwertyui",
"qwerty123",
"abc12345",
"abcd1234",
"iloveyou",
"letmein1",
"welcome1",
"welcome123",
"admin123",
"administrator",
"passw0rd",
"p@ssw0rd",
"monkey12",
"trustno1",
"sunshine",
"princess",
"football",
"baseball",
"superman",
"batman123",
"starwars",
"dragon123",
"master123",
"shadow12",
"michael1",
"jennifer",
"computer",
}
)
def _password_is_common(password: str) -> bool:
"""Case-insensitive blocklist check.
Lowercases the input so trivial mutations like ``Password`` /
``PASSWORD`` are also rejected. Does not normalize digit substitutions
(``p@ssw0rd`` is included as a literal entry instead) — keeping the
rule cheap and predictable.
"""
return password.lower() in _COMMON_PASSWORDS
def _validate_strong_password(value: str) -> str:
"""Pydantic field-validator body shared by Register + ChangePassword.
Constraint = function, not type-level mixin. The two request models
have no "is-a" relationship; they only share the password-strength
rule. Lifting it into a free function lets each model bind it via
``@field_validator(field_name)`` without inheritance gymnastics.
"""
if _password_is_common(value):
raise ValueError("Password is too common; choose a stronger password.")
return value
class RegisterRequest(BaseModel):
"""Request model for user registration."""
email: EmailStr
password: str = Field(..., min_length=8)
_strong_password = field_validator("password")(classmethod(lambda cls, v: _validate_strong_password(v)))
class ChangePasswordRequest(BaseModel):
"""Request model for password change (also handles setup flow)."""
current_password: str
new_password: str = Field(..., min_length=8)
new_email: EmailStr | None = None
_strong_password = field_validator("new_password")(classmethod(lambda cls, v: _validate_strong_password(v)))
class MessageResponse(BaseModel):
"""Generic message response."""
message: str
# ── Helpers ───────────────────────────────────────────────────────────────
def _set_session_cookie(response: Response, token: str, request: Request) -> None:
"""Set the access_token HttpOnly cookie on the response."""
config = get_auth_config()
is_https = is_secure_request(request)
response.set_cookie(
key="access_token",
value=token,
httponly=True,
secure=is_https,
samesite="lax",
max_age=config.token_expiry_days * 24 * 3600 if is_https else None,
)
# ── Rate Limiting ────────────────────────────────────────────────────────
# In-process dict — not shared across workers. Sufficient for single-worker deployments.
_MAX_LOGIN_ATTEMPTS = 5
_LOCKOUT_SECONDS = 300 # 5 minutes
# ip → (fail_count, lock_until_timestamp)
_login_attempts: dict[str, tuple[int, float]] = {}
def _trusted_proxies() -> list:
"""Parse ``AUTH_TRUSTED_PROXIES`` env var into a list of ip_network objects.
Comma-separated CIDR or single-IP entries. Empty / unset = no proxy is
trusted (direct mode). Invalid entries are skipped with a logger warning.
Read live so env-var overrides take effect immediately and tests can
``monkeypatch.setenv`` without poking a module-level cache.
"""
raw = os.getenv("AUTH_TRUSTED_PROXIES", "").strip()
if not raw:
return []
nets = []
for entry in raw.split(","):
entry = entry.strip()
if not entry:
continue
try:
nets.append(ip_network(entry, strict=False))
except ValueError:
logger.warning("AUTH_TRUSTED_PROXIES: ignoring invalid entry %r", entry)
return nets
def _get_client_ip(request: Request) -> str:
"""Extract the real client IP for rate limiting.
Trust model:
- The TCP peer (``request.client.host``) is always the baseline. It is
whatever the kernel reports as the connecting socket — unforgeable
by the client itself.
- ``X-Real-IP`` is **only** honored if the TCP peer is in the
``AUTH_TRUSTED_PROXIES`` allowlist (set via env var, comma-separated
CIDR or single IPs). When set, the gateway is assumed to be behind a
reverse proxy (nginx, Cloudflare, ALB, …) that overwrites
``X-Real-IP`` with the original client address.
- With no ``AUTH_TRUSTED_PROXIES`` set, ``X-Real-IP`` is silently
ignored — closing the bypass where any client could rotate the
header to dodge per-IP rate limits in dev / direct-gateway mode.
``X-Forwarded-For`` is intentionally NOT used because it is naturally
client-controlled at the *first* hop and the trust chain is harder to
audit per-request.
"""
peer_host = request.client.host if request.client else None
trusted = _trusted_proxies()
if trusted and peer_host:
try:
peer_ip = ip_address(peer_host)
if any(peer_ip in net for net in trusted):
real_ip = request.headers.get("x-real-ip", "").strip()
if real_ip:
return real_ip
except ValueError:
# peer_host wasn't a parseable IP (e.g. "unknown") — fall through
pass
return peer_host or "unknown"
def _check_rate_limit(ip: str) -> None:
"""Raise 429 if the IP is currently locked out."""
record = _login_attempts.get(ip)
if record is None:
return
fail_count, lock_until = record
if fail_count >= _MAX_LOGIN_ATTEMPTS:
if time.time() < lock_until:
raise HTTPException(
status_code=429,
detail="Too many login attempts. Try again later.",
)
del _login_attempts[ip]
_MAX_TRACKED_IPS = 10000
def _record_login_failure(ip: str) -> None:
"""Record a failed login attempt for the given IP."""
# Evict expired lockouts when dict grows too large
if len(_login_attempts) >= _MAX_TRACKED_IPS:
now = time.time()
expired = [k for k, (c, t) in _login_attempts.items() if c >= _MAX_LOGIN_ATTEMPTS and now >= t]
for k in expired:
del _login_attempts[k]
# If still too large, evict cheapest-to-lose half: below-threshold
# IPs (lock_until=0.0) sort first, then earliest-expiring lockouts.
if len(_login_attempts) >= _MAX_TRACKED_IPS:
by_time = sorted(_login_attempts.items(), key=lambda kv: kv[1][1])
for k, _ in by_time[: len(by_time) // 2]:
del _login_attempts[k]
record = _login_attempts.get(ip)
if record is None:
_login_attempts[ip] = (1, 0.0)
else:
new_count = record[0] + 1
lock_until = time.time() + _LOCKOUT_SECONDS if new_count >= _MAX_LOGIN_ATTEMPTS else 0.0
_login_attempts[ip] = (new_count, lock_until)
def _record_login_success(ip: str) -> None:
"""Clear failure counter for the given IP on successful login."""
_login_attempts.pop(ip, None)
# ── Endpoints ─────────────────────────────────────────────────────────────
@router.post("/login/local", response_model=LoginResponse)
async def login_local(
request: Request,
response: Response,
form_data: OAuth2PasswordRequestForm = Depends(),
):
"""Local email/password login."""
client_ip = _get_client_ip(request)
_check_rate_limit(client_ip)
user = await get_local_provider().authenticate({"email": form_data.username, "password": form_data.password})
if user is None:
_record_login_failure(client_ip)
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="Incorrect email or password").model_dump(),
)
_record_login_success(client_ip)
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return LoginResponse(
expires_in=get_auth_config().token_expiry_days * 24 * 3600,
needs_setup=user.needs_setup,
)
@router.post("/register", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def register(request: Request, response: Response, body: RegisterRequest):
"""Register a new user account (always 'user' role).
Admin is auto-created on first boot. This endpoint creates regular users.
Auto-login by setting the session cookie.
"""
try:
user = await get_local_provider().create_user(email=body.email, password=body.password, system_role="user")
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=AuthErrorResponse(code=AuthErrorCode.EMAIL_ALREADY_EXISTS, message="Email already registered").model_dump(),
)
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return UserResponse(id=str(user.id), email=user.email, system_role=user.system_role)
@router.post("/logout", response_model=MessageResponse)
async def logout(request: Request, response: Response):
"""Logout current user by clearing the cookie."""
response.delete_cookie(key="access_token", secure=is_secure_request(request), samesite="lax")
return MessageResponse(message="Successfully logged out")
@router.post("/change-password", response_model=MessageResponse)
async def change_password(request: Request, response: Response, body: ChangePasswordRequest):
"""Change password for the currently authenticated user.
Also handles the first-boot setup flow:
- If new_email is provided, updates email (checks uniqueness)
- If user.needs_setup is True and new_email is given, clears needs_setup
- Always increments token_version to invalidate old sessions
- Re-issues session cookie with new token_version
"""
from app.gateway.auth.password import hash_password_async, verify_password_async
user = await get_current_user_from_request(request)
if user.password_hash is None:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="OAuth users cannot change password").model_dump())
if not await verify_password_async(body.current_password, user.password_hash):
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="Current password is incorrect").model_dump())
provider = get_local_provider()
# Update email if provided
if body.new_email is not None:
existing = await provider.get_user_by_email(body.new_email)
if existing and str(existing.id) != str(user.id):
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.EMAIL_ALREADY_EXISTS, message="Email already in use").model_dump())
user.email = body.new_email
# Update password + bump version
user.password_hash = await hash_password_async(body.new_password)
user.token_version += 1
# Clear setup flag if this is the setup flow
if user.needs_setup and body.new_email is not None:
user.needs_setup = False
await provider.update_user(user)
# Re-issue cookie with new token_version
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return MessageResponse(message="Password changed successfully")
@router.get("/me", response_model=UserResponse)
async def get_me(request: Request):
"""Get current authenticated user info."""
user = await get_current_user_from_request(request)
return UserResponse(id=str(user.id), email=user.email, system_role=user.system_role, needs_setup=user.needs_setup)
@router.get("/setup-status")
async def setup_status():
"""Check if admin account exists. Always False after first boot."""
user_count = await get_local_provider().count_users()
return {"needs_setup": user_count == 0}
# ── OAuth Endpoints (Future/Placeholder) ─────────────────────────────────
@router.get("/oauth/{provider}")
async def oauth_login(provider: str):
"""Initiate OAuth login flow.
Redirects to the OAuth provider's authorization URL.
Currently a placeholder - requires OAuth provider implementation.
"""
if provider not in ["github", "google"]:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported OAuth provider: {provider}",
)
raise HTTPException(
status_code=status.HTTP_501_NOT_IMPLEMENTED,
detail="OAuth login not yet implemented",
)
@router.get("/callback/{provider}")
async def oauth_callback(provider: str, code: str, state: str):
"""OAuth callback endpoint.
Handles the OAuth provider's callback after user authorization.
Currently a placeholder.
"""
raise HTTPException(
status_code=status.HTTP_501_NOT_IMPLEMENTED,
detail="OAuth callback not yet implemented",
)
-132
View File
@@ -1,132 +0,0 @@
"""Feedback endpoints — create, list, stats, delete.
Allows users to submit thumbs-up/down feedback on runs,
optionally scoped to a specific message.
"""
from __future__ import annotations
import logging
from typing import Any
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from app.gateway.deps import get_current_user, get_feedback_repo, get_run_store
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/threads", tags=["feedback"])
# ---------------------------------------------------------------------------
# Request / response models
# ---------------------------------------------------------------------------
class FeedbackCreateRequest(BaseModel):
rating: int = Field(..., description="Feedback rating: +1 (positive) or -1 (negative)")
comment: str | None = Field(default=None, description="Optional text feedback")
message_id: str | None = Field(default=None, description="Optional: scope feedback to a specific message")
class FeedbackResponse(BaseModel):
feedback_id: str
run_id: str
thread_id: str
owner_id: str | None = None
message_id: str | None = None
rating: int
comment: str | None = None
created_at: str = ""
class FeedbackStatsResponse(BaseModel):
run_id: str
total: int = 0
positive: int = 0
negative: int = 0
# ---------------------------------------------------------------------------
# Endpoints
# ---------------------------------------------------------------------------
@router.post("/{thread_id}/runs/{run_id}/feedback", response_model=FeedbackResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def create_feedback(
thread_id: str,
run_id: str,
body: FeedbackCreateRequest,
request: Request,
) -> dict[str, Any]:
"""Submit feedback (thumbs-up/down) for a run."""
if body.rating not in (1, -1):
raise HTTPException(status_code=400, detail="rating must be +1 or -1")
user_id = await get_current_user(request)
# Validate run exists and belongs to thread
run_store = get_run_store(request)
run = await run_store.get(run_id)
if run is None:
raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
if run.get("thread_id") != thread_id:
raise HTTPException(status_code=404, detail=f"Run {run_id} not found in thread {thread_id}")
feedback_repo = get_feedback_repo(request)
return await feedback_repo.create(
run_id=run_id,
thread_id=thread_id,
rating=body.rating,
owner_id=user_id,
message_id=body.message_id,
comment=body.comment,
)
@router.get("/{thread_id}/runs/{run_id}/feedback", response_model=list[FeedbackResponse])
@require_permission("threads", "read", owner_check=True)
async def list_feedback(
thread_id: str,
run_id: str,
request: Request,
) -> list[dict[str, Any]]:
"""List all feedback for a run."""
feedback_repo = get_feedback_repo(request)
return await feedback_repo.list_by_run(thread_id, run_id)
@router.get("/{thread_id}/runs/{run_id}/feedback/stats", response_model=FeedbackStatsResponse)
@require_permission("threads", "read", owner_check=True)
async def feedback_stats(
thread_id: str,
run_id: str,
request: Request,
) -> dict[str, Any]:
"""Get aggregated feedback stats (positive/negative counts) for a run."""
feedback_repo = get_feedback_repo(request)
return await feedback_repo.aggregate_by_run(thread_id, run_id)
@router.delete("/{thread_id}/runs/{run_id}/feedback/{feedback_id}")
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_feedback(
thread_id: str,
run_id: str,
feedback_id: str,
request: Request,
) -> dict[str, bool]:
"""Delete a feedback record."""
feedback_repo = get_feedback_repo(request)
# Verify feedback belongs to the specified thread/run before deleting
existing = await feedback_repo.get(feedback_id)
if existing is None:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found")
if existing.get("thread_id") != thread_id or existing.get("run_id") != run_id:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found in run {run_id}")
deleted = await feedback_repo.delete(feedback_id)
if not deleted:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found")
return {"success": True}
+6 -8
View File
@@ -1,11 +1,10 @@
import json
import logging
from fastapi import APIRouter, Request
from fastapi import APIRouter
from langchain_core.messages import HumanMessage, SystemMessage
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from deerflow.models import create_chat_model
logger = logging.getLogger(__name__)
@@ -99,13 +98,12 @@ def _format_conversation(messages: list[SuggestionMessage]) -> str:
summary="Generate Follow-up Questions",
description="Generate short follow-up questions a user might ask next, based on recent conversation context.",
)
@require_permission("threads", "read", owner_check=True)
async def generate_suggestions(thread_id: str, body: SuggestionsRequest, request: Request) -> SuggestionsResponse:
if not body.messages:
async def generate_suggestions(thread_id: str, request: SuggestionsRequest) -> SuggestionsResponse:
if not request.messages:
return SuggestionsResponse(suggestions=[])
n = body.n
conversation = _format_conversation(body.messages)
n = request.n
conversation = _format_conversation(request.messages)
if not conversation:
return SuggestionsResponse(suggestions=[])
@@ -122,7 +120,7 @@ async def generate_suggestions(thread_id: str, body: SuggestionsRequest, request
user_content = f"Conversation Context:\n{conversation}\n\nGenerate {n} follow-up questions"
try:
model = create_chat_model(name=body.model_name, thinking_enabled=False)
model = create_chat_model(name=request.model_name, thinking_enabled=False)
response = await model.ainvoke([SystemMessage(content=system_instruction), HumanMessage(content=user_content)])
raw = _extract_response_text(response.content)
suggestions = _parse_json_string_list(raw) or []
+1 -62
View File
@@ -19,8 +19,7 @@ from fastapi import APIRouter, HTTPException, Query, Request
from fastapi.responses import Response, StreamingResponse
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from app.gateway.deps import get_checkpointer, get_run_event_store, get_run_manager, get_run_store, get_stream_bridge
from app.gateway.deps import get_checkpointer, get_run_manager, get_stream_bridge
from app.gateway.services import sse_consumer, start_run
from deerflow.runtime import RunRecord, serialize_channel_values
@@ -54,7 +53,6 @@ class RunCreateRequest(BaseModel):
after_seconds: float | None = Field(default=None, description="Delayed execution")
if_not_exists: Literal["reject", "create"] = Field(default="create", description="Thread creation policy")
feedback_keys: list[str] | None = Field(default=None, description="LangSmith feedback keys")
follow_up_to_run_id: str | None = Field(default=None, description="Run ID this message follows up on. Auto-detected from latest successful run if not provided.")
class RunResponse(BaseModel):
@@ -94,7 +92,6 @@ def _record_to_response(record: RunRecord) -> RunResponse:
@router.post("/{thread_id}/runs", response_model=RunResponse)
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def create_run(thread_id: str, body: RunCreateRequest, request: Request) -> RunResponse:
"""Create a background run (returns immediately)."""
record = await start_run(body, thread_id, request)
@@ -102,7 +99,6 @@ async def create_run(thread_id: str, body: RunCreateRequest, request: Request) -
@router.post("/{thread_id}/runs/stream")
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def stream_run(thread_id: str, body: RunCreateRequest, request: Request) -> StreamingResponse:
"""Create a run and stream events via SSE.
@@ -130,7 +126,6 @@ async def stream_run(thread_id: str, body: RunCreateRequest, request: Request) -
@router.post("/{thread_id}/runs/wait", response_model=dict)
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def wait_run(thread_id: str, body: RunCreateRequest, request: Request) -> dict:
"""Create a run and block until it completes, returning the final state."""
record = await start_run(body, thread_id, request)
@@ -156,7 +151,6 @@ async def wait_run(thread_id: str, body: RunCreateRequest, request: Request) ->
@router.get("/{thread_id}/runs", response_model=list[RunResponse])
@require_permission("runs", "read", owner_check=True)
async def list_runs(thread_id: str, request: Request) -> list[RunResponse]:
"""List all runs for a thread."""
run_mgr = get_run_manager(request)
@@ -165,7 +159,6 @@ async def list_runs(thread_id: str, request: Request) -> list[RunResponse]:
@router.get("/{thread_id}/runs/{run_id}", response_model=RunResponse)
@require_permission("runs", "read", owner_check=True)
async def get_run(thread_id: str, run_id: str, request: Request) -> RunResponse:
"""Get details of a specific run."""
run_mgr = get_run_manager(request)
@@ -176,7 +169,6 @@ async def get_run(thread_id: str, run_id: str, request: Request) -> RunResponse:
@router.post("/{thread_id}/runs/{run_id}/cancel")
@require_permission("runs", "cancel", owner_check=True, require_existing=True)
async def cancel_run(
thread_id: str,
run_id: str,
@@ -214,7 +206,6 @@ async def cancel_run(
@router.get("/{thread_id}/runs/{run_id}/join")
@require_permission("runs", "read", owner_check=True)
async def join_run(thread_id: str, run_id: str, request: Request) -> StreamingResponse:
"""Join an existing run's SSE stream."""
bridge = get_stream_bridge(request)
@@ -235,7 +226,6 @@ async def join_run(thread_id: str, run_id: str, request: Request) -> StreamingRe
@router.api_route("/{thread_id}/runs/{run_id}/stream", methods=["GET", "POST"], response_model=None)
@require_permission("runs", "read", owner_check=True)
async def stream_existing_run(
thread_id: str,
run_id: str,
@@ -275,54 +265,3 @@ async def stream_existing_run(
"X-Accel-Buffering": "no",
},
)
# ---------------------------------------------------------------------------
# Messages / Events / Token usage endpoints
# ---------------------------------------------------------------------------
@router.get("/{thread_id}/messages")
@require_permission("runs", "read", owner_check=True)
async def list_thread_messages(
thread_id: str,
request: Request,
limit: int = Query(default=50, le=200),
before_seq: int | None = Query(default=None),
after_seq: int | None = Query(default=None),
) -> list[dict]:
"""Return displayable messages for a thread (across all runs)."""
event_store = get_run_event_store(request)
return await event_store.list_messages(thread_id, limit=limit, before_seq=before_seq, after_seq=after_seq)
@router.get("/{thread_id}/runs/{run_id}/messages")
@require_permission("runs", "read", owner_check=True)
async def list_run_messages(thread_id: str, run_id: str, request: Request) -> list[dict]:
"""Return displayable messages for a specific run."""
event_store = get_run_event_store(request)
return await event_store.list_messages_by_run(thread_id, run_id)
@router.get("/{thread_id}/runs/{run_id}/events")
@require_permission("runs", "read", owner_check=True)
async def list_run_events(
thread_id: str,
run_id: str,
request: Request,
event_types: str | None = Query(default=None),
limit: int = Query(default=500, le=2000),
) -> list[dict]:
"""Return the full event stream for a run (debug/audit)."""
event_store = get_run_event_store(request)
types = event_types.split(",") if event_types else None
return await event_store.list_events(thread_id, run_id, event_types=types, limit=limit)
@router.get("/{thread_id}/token-usage")
@require_permission("threads", "read", owner_check=True)
async def thread_token_usage(thread_id: str, request: Request) -> dict:
"""Thread-level token usage aggregation."""
run_store = get_run_store(request)
agg = await run_store.aggregate_tokens_by_thread(thread_id)
return {"thread_id": thread_id, **agg}
+238 -172
View File
@@ -18,34 +18,23 @@ import uuid
from typing import Any
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, Field, field_validator
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from app.gateway.deps import get_checkpointer
from app.gateway.utils import sanitize_log_param
from app.gateway.deps import get_checkpointer, get_store
from deerflow.config.paths import Paths, get_paths
from deerflow.runtime import serialize_channel_values
# ---------------------------------------------------------------------------
# Store namespace
# ---------------------------------------------------------------------------
THREADS_NS: tuple[str, ...] = ("threads",)
"""Namespace used by the Store for thread metadata records."""
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/threads", tags=["threads"])
# Metadata keys that the server controls; clients are not allowed to set
# them. Pydantic ``@field_validator("metadata")`` strips them on every
# inbound model below so a malicious client cannot reflect a forged
# owner identity through the API surface. Defense-in-depth — the
# row-level invariant is still ``threads_meta.owner_id`` populated from
# the auth contextvar; this list closes the metadata-blob echo gap.
_SERVER_RESERVED_METADATA_KEYS: frozenset[str] = frozenset({"owner_id", "user_id"})
def _strip_reserved_metadata(metadata: dict[str, Any] | None) -> dict[str, Any]:
"""Return ``metadata`` with server-controlled keys removed."""
if not metadata:
return metadata or {}
return {k: v for k, v in metadata.items() if k not in _SERVER_RESERVED_METADATA_KEYS}
# ---------------------------------------------------------------------------
# Response / request models
# ---------------------------------------------------------------------------
@@ -74,11 +63,8 @@ class ThreadCreateRequest(BaseModel):
"""Request body for creating a thread."""
thread_id: str | None = Field(default=None, description="Optional thread ID (auto-generated if omitted)")
assistant_id: str | None = Field(default=None, description="Associate thread with an assistant")
metadata: dict[str, Any] = Field(default_factory=dict, description="Initial metadata")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadSearchRequest(BaseModel):
"""Request body for searching threads."""
@@ -107,8 +93,6 @@ class ThreadPatchRequest(BaseModel):
metadata: dict[str, Any] = Field(default_factory=dict, description="Metadata to merge")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadStateUpdateRequest(BaseModel):
"""Request body for updating thread state (human-in-the-loop resume)."""
@@ -151,16 +135,61 @@ def _delete_thread_data(thread_id: str, paths: Paths | None = None) -> ThreadDel
raise HTTPException(status_code=422, detail=str(exc)) from exc
except FileNotFoundError:
# Not critical — thread data may not exist on disk
logger.debug("No local thread data to delete for %s", sanitize_log_param(thread_id))
logger.debug("No local thread data to delete for %s", thread_id)
return ThreadDeleteResponse(success=True, message=f"No local data for {thread_id}")
except Exception as exc:
logger.exception("Failed to delete thread data for %s", sanitize_log_param(thread_id))
logger.exception("Failed to delete thread data for %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to delete local thread data.") from exc
logger.info("Deleted local thread data for %s", sanitize_log_param(thread_id))
logger.info("Deleted local thread data for %s", thread_id)
return ThreadDeleteResponse(success=True, message=f"Deleted local thread data for {thread_id}")
async def _store_get(store, thread_id: str) -> dict | None:
"""Fetch a thread record from the Store; returns ``None`` if absent."""
item = await store.aget(THREADS_NS, thread_id)
return item.value if item is not None else None
async def _store_put(store, record: dict) -> None:
"""Write a thread record to the Store."""
await store.aput(THREADS_NS, record["thread_id"], record)
async def _store_upsert(store, thread_id: str, *, metadata: dict | None = None, values: dict | None = None) -> None:
"""Create or refresh a thread record in the Store.
On creation the record is written with ``status="idle"``. On update only
``updated_at`` (and optionally ``metadata`` / ``values``) are changed so
that existing fields are preserved.
``values`` carries the agent-state snapshot exposed to the frontend
(currently just ``{"title": "..."}``).
"""
now = time.time()
existing = await _store_get(store, thread_id)
if existing is None:
await _store_put(
store,
{
"thread_id": thread_id,
"status": "idle",
"created_at": now,
"updated_at": now,
"metadata": metadata or {},
"values": values or {},
},
)
else:
val = dict(existing)
val["updated_at"] = now
if metadata:
val.setdefault("metadata", {}).update(metadata)
if values:
val.setdefault("values", {}).update(values)
await _store_put(store, val)
def _derive_thread_status(checkpoint_tuple) -> str:
"""Derive thread status from checkpoint metadata."""
if checkpoint_tuple is None:
@@ -186,19 +215,23 @@ def _derive_thread_status(checkpoint_tuple) -> str:
@router.delete("/{thread_id}", response_model=ThreadDeleteResponse)
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteResponse:
"""Delete local persisted filesystem data for a thread.
Cleans DeerFlow-managed thread directories, removes checkpoint data,
and removes the thread_meta row from the configured ThreadMetaStore
(sqlite or memory).
and removes the thread record from the Store.
"""
from app.gateway.deps import get_thread_meta_repo
# Clean local filesystem
response = _delete_thread_data(thread_id)
# Remove from Store (best-effort)
store = get_store(request)
if store is not None:
try:
await store.adelete(THREADS_NS, thread_id)
except Exception:
logger.debug("Could not delete store record for thread %s (not critical)", thread_id)
# Remove checkpoints (best-effort)
checkpointer = getattr(request.app.state, "checkpointer", None)
if checkpointer is not None:
@@ -206,15 +239,7 @@ async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteRe
if hasattr(checkpointer, "adelete_thread"):
await checkpointer.adelete_thread(thread_id)
except Exception:
logger.debug("Could not delete checkpoints for thread %s (not critical)", sanitize_log_param(thread_id))
# Remove thread_meta row (best-effort) — required for sqlite backend
# so the deleted thread no longer appears in /threads/search.
try:
thread_meta_repo = get_thread_meta_repo(request)
await thread_meta_repo.delete(thread_id)
except Exception:
logger.debug("Could not delete thread_meta for %s (not critical)", sanitize_log_param(thread_id))
logger.debug("Could not delete checkpoints for thread %s (not critical)", thread_id)
return response
@@ -223,40 +248,43 @@ async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteRe
async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadResponse:
"""Create a new thread.
Writes a thread_meta record (so the thread appears in /threads/search)
and an empty checkpoint (so state endpoints work immediately).
The thread record is written to the Store (for fast listing) and an
empty checkpoint is written to the checkpointer (for state reads).
Idempotent: returns the existing record when ``thread_id`` already exists.
"""
from app.gateway.deps import get_thread_meta_repo
store = get_store(request)
checkpointer = get_checkpointer(request)
thread_meta_repo = get_thread_meta_repo(request)
thread_id = body.thread_id or str(uuid.uuid4())
now = time.time()
# ``body.metadata`` is already stripped of server-reserved keys by
# ``ThreadCreateRequest._strip_reserved`` — see the model definition.
# Idempotency: return existing record when already present
existing_record = await thread_meta_repo.get(thread_id)
if existing_record is not None:
return ThreadResponse(
thread_id=thread_id,
status=existing_record.get("status", "idle"),
created_at=str(existing_record.get("created_at", "")),
updated_at=str(existing_record.get("updated_at", "")),
metadata=existing_record.get("metadata", {}),
)
# Idempotency: return existing record from Store when already present
if store is not None:
existing_record = await _store_get(store, thread_id)
if existing_record is not None:
return ThreadResponse(
thread_id=thread_id,
status=existing_record.get("status", "idle"),
created_at=str(existing_record.get("created_at", "")),
updated_at=str(existing_record.get("updated_at", "")),
metadata=existing_record.get("metadata", {}),
)
# Write thread_meta so the thread appears in /threads/search immediately
try:
await thread_meta_repo.create(
thread_id,
assistant_id=getattr(body, "assistant_id", None),
metadata=body.metadata,
)
except Exception:
logger.exception("Failed to write thread_meta for %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to create thread")
# Write thread record to Store
if store is not None:
try:
await _store_put(
store,
{
"thread_id": thread_id,
"status": "idle",
"created_at": now,
"updated_at": now,
"metadata": body.metadata,
},
)
except Exception:
logger.exception("Failed to write thread %s to store", thread_id)
raise HTTPException(status_code=500, detail="Failed to create thread")
# Write an empty checkpoint so state endpoints work immediately
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
@@ -273,10 +301,10 @@ async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadRe
}
await checkpointer.aput(config, empty_checkpoint(), ckpt_metadata, {})
except Exception:
logger.exception("Failed to create checkpoint for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to create checkpoint for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to create thread")
logger.info("Thread created: %s", sanitize_log_param(thread_id))
logger.info("Thread created: %s", thread_id)
return ThreadResponse(
thread_id=thread_id,
status="idle",
@@ -290,91 +318,166 @@ async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadRe
async def search_threads(body: ThreadSearchRequest, request: Request) -> list[ThreadResponse]:
"""Search and list threads.
Delegates to the configured ThreadMetaStore implementation
(SQL-backed for sqlite/postgres, Store-backed for memory mode).
"""
from app.gateway.deps import get_thread_meta_repo
Two-phase approach:
repo = get_thread_meta_repo(request)
rows = await repo.search(
metadata=body.metadata or None,
status=body.status,
limit=body.limit,
offset=body.offset,
)
return [
ThreadResponse(
thread_id=r["thread_id"],
status=r.get("status", "idle"),
created_at=r.get("created_at", ""),
updated_at=r.get("updated_at", ""),
metadata=r.get("metadata", {}),
values={"title": r["display_name"]} if r.get("display_name") else {},
interrupts={},
)
for r in rows
]
**Phase 1 — Store (fast path, O(threads))**: returns threads that were
created or run through this Gateway. Store records are tiny metadata
dicts so fetching all of them at once is cheap.
**Phase 2 — Checkpointer supplement (lazy migration)**: threads that
were created directly by LangGraph Server (and therefore absent from the
Store) are discovered here by iterating the shared checkpointer. Any
newly found thread is immediately written to the Store so that the next
search skips Phase 2 for that thread — the Store converges to a full
index over time without a one-shot migration job.
"""
store = get_store(request)
checkpointer = get_checkpointer(request)
# -----------------------------------------------------------------------
# Phase 1: Store
# -----------------------------------------------------------------------
merged: dict[str, ThreadResponse] = {}
if store is not None:
try:
items = await store.asearch(THREADS_NS, limit=10_000)
except Exception:
logger.warning("Store search failed — falling back to checkpointer only", exc_info=True)
items = []
for item in items:
val = item.value
merged[val["thread_id"]] = ThreadResponse(
thread_id=val["thread_id"],
status=val.get("status", "idle"),
created_at=str(val.get("created_at", "")),
updated_at=str(val.get("updated_at", "")),
metadata=val.get("metadata", {}),
values=val.get("values", {}),
)
# -----------------------------------------------------------------------
# Phase 2: Checkpointer supplement
# Discovers threads not yet in the Store (e.g. created by LangGraph
# Server) and lazily migrates them so future searches skip this phase.
# -----------------------------------------------------------------------
try:
async for checkpoint_tuple in checkpointer.alist(None):
cfg = getattr(checkpoint_tuple, "config", {})
thread_id = cfg.get("configurable", {}).get("thread_id")
if not thread_id or thread_id in merged:
continue
# Skip sub-graph checkpoints (checkpoint_ns is non-empty for those)
if cfg.get("configurable", {}).get("checkpoint_ns", ""):
continue
ckpt_meta = getattr(checkpoint_tuple, "metadata", {}) or {}
# Strip LangGraph internal keys from the user-visible metadata dict
user_meta = {k: v for k, v in ckpt_meta.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")}
# Extract state values (title) from the checkpoint's channel_values
checkpoint_data = getattr(checkpoint_tuple, "checkpoint", {}) or {}
channel_values = checkpoint_data.get("channel_values", {})
ckpt_values = {}
if title := channel_values.get("title"):
ckpt_values["title"] = title
thread_resp = ThreadResponse(
thread_id=thread_id,
status=_derive_thread_status(checkpoint_tuple),
created_at=str(ckpt_meta.get("created_at", "")),
updated_at=str(ckpt_meta.get("updated_at", ckpt_meta.get("created_at", ""))),
metadata=user_meta,
values=ckpt_values,
)
merged[thread_id] = thread_resp
# Lazy migration — write to Store so the next search finds it there
if store is not None:
try:
await _store_upsert(store, thread_id, metadata=user_meta, values=ckpt_values or None)
except Exception:
logger.debug("Failed to migrate thread %s to store (non-fatal)", thread_id)
except Exception:
logger.exception("Checkpointer scan failed during thread search")
# Don't raise — return whatever was collected from Store + partial scan
# -----------------------------------------------------------------------
# Phase 3: Filter → sort → paginate
# -----------------------------------------------------------------------
results = list(merged.values())
if body.metadata:
results = [r for r in results if all(r.metadata.get(k) == v for k, v in body.metadata.items())]
if body.status:
results = [r for r in results if r.status == body.status]
results.sort(key=lambda r: r.updated_at, reverse=True)
return results[body.offset : body.offset + body.limit]
@router.patch("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def patch_thread(thread_id: str, body: ThreadPatchRequest, request: Request) -> ThreadResponse:
"""Merge metadata into a thread record."""
from app.gateway.deps import get_thread_meta_repo
store = get_store(request)
if store is None:
raise HTTPException(status_code=503, detail="Store not available")
thread_meta_repo = get_thread_meta_repo(request)
record = await thread_meta_repo.get(thread_id)
record = await _store_get(store, thread_id)
if record is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# ``body.metadata`` already stripped by ``ThreadPatchRequest._strip_reserved``.
now = time.time()
updated = dict(record)
updated.setdefault("metadata", {}).update(body.metadata)
updated["updated_at"] = now
try:
await thread_meta_repo.update_metadata(thread_id, body.metadata)
await _store_put(store, updated)
except Exception:
logger.exception("Failed to patch thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to patch thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to update thread")
# Re-read to get the merged metadata + refreshed updated_at
record = await thread_meta_repo.get(thread_id) or record
return ThreadResponse(
thread_id=thread_id,
status=record.get("status", "idle"),
created_at=str(record.get("created_at", "")),
updated_at=str(record.get("updated_at", "")),
metadata=record.get("metadata", {}),
status=updated.get("status", "idle"),
created_at=str(updated.get("created_at", "")),
updated_at=str(now),
metadata=updated.get("metadata", {}),
)
@router.get("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request) -> ThreadResponse:
"""Get thread info.
Reads metadata from the ThreadMetaStore and derives the accurate
execution status from the checkpointer. Falls back to the checkpointer
alone for threads that pre-date ThreadMetaStore adoption (backward compat).
Reads metadata from the Store and derives the accurate execution
status from the checkpointer. Falls back to the checkpointer alone
for threads that pre-date Store adoption (backward compat).
"""
from app.gateway.deps import get_thread_meta_repo
thread_meta_repo = get_thread_meta_repo(request)
store = get_store(request)
checkpointer = get_checkpointer(request)
record: dict | None = await thread_meta_repo.get(thread_id)
record: dict | None = None
if store is not None:
record = await _store_get(store, thread_id)
# Derive accurate status from the checkpointer
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get checkpoint for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to get checkpoint for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to get thread")
if record is None and checkpoint_tuple is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# If the thread exists in the checkpointer but not in thread_meta (e.g.
# legacy data created before thread_meta adoption), synthesize a minimal
# record from the checkpoint metadata.
# If the thread exists in the checkpointer but not the store (e.g. legacy
# data), synthesize a minimal store record from the checkpoint metadata.
if record is None and checkpoint_tuple is not None:
ckpt_meta = getattr(checkpoint_tuple, "metadata", {}) or {}
record = {
@@ -403,7 +506,6 @@ async def get_thread(thread_id: str, request: Request) -> ThreadResponse:
@router.get("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread_state(thread_id: str, request: Request) -> ThreadStateResponse:
"""Get the latest state snapshot for a thread.
@@ -416,7 +518,7 @@ async def get_thread_state(thread_id: str, request: Request) -> ThreadStateRespo
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to get state for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
@@ -453,19 +555,15 @@ async def get_thread_state(thread_id: str, request: Request) -> ThreadStateRespo
@router.post("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, request: Request) -> ThreadStateResponse:
"""Update thread state (e.g. for human-in-the-loop resume or title rename).
Writes a new checkpoint that merges *body.values* into the latest
channel values, then syncs any updated ``title`` field through the
ThreadMetaStore abstraction so that ``/threads/search`` reflects the
change immediately in both sqlite and memory backends.
channel values, then syncs any updated ``title`` field back to the Store
so that ``/threads/search`` reflects the change immediately.
"""
from app.gateway.deps import get_thread_meta_repo
checkpointer = get_checkpointer(request)
thread_meta_repo = get_thread_meta_repo(request)
store = get_store(request)
# checkpoint_ns must be present in the config for aput — default to ""
# (the root graph namespace). checkpoint_id is optional; omitting it
@@ -482,7 +580,7 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
try:
checkpoint_tuple = await checkpointer.aget_tuple(read_config)
except Exception:
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to get state for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
@@ -516,22 +614,19 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
try:
new_config = await checkpointer.aput(write_config, checkpoint, metadata, {})
except Exception:
logger.exception("Failed to update state for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to update state for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to update thread state")
new_checkpoint_id: str | None = None
if isinstance(new_config, dict):
new_checkpoint_id = new_config.get("configurable", {}).get("checkpoint_id")
# Sync title changes through the ThreadMetaStore abstraction so /threads/search
# reflects them immediately in both sqlite and memory backends.
if body.values and "title" in body.values:
new_title = body.values["title"]
if new_title: # Skip empty strings and None
try:
await thread_meta_repo.update_display_name(thread_id, new_title)
except Exception:
logger.debug("Failed to sync title to thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
# Sync title changes to the Store so /threads/search reflects them immediately.
if store is not None and body.values and "title" in body.values:
try:
await _store_upsert(store, thread_id, values={"title": body.values["title"]})
except Exception:
logger.debug("Failed to sync title to store for thread %s (non-fatal)", thread_id)
return ThreadStateResponse(
values=serialize_channel_values(channel_values),
@@ -543,16 +638,8 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
@router.post("/{thread_id}/history", response_model=list[HistoryEntry])
@require_permission("threads", "read", owner_check=True)
async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request: Request) -> list[HistoryEntry]:
"""Get checkpoint history for a thread.
Messages are read from the checkpointer's channel values (the
authoritative source) and serialized via
:func:`~deerflow.runtime.serialization.serialize_channel_values`.
Only the latest (first) checkpoint carries the ``messages`` key to
avoid duplicating them across every entry.
"""
"""Get checkpoint history for a thread."""
checkpointer = get_checkpointer(request)
config: dict[str, Any] = {"configurable": {"thread_id": thread_id}}
@@ -560,7 +647,6 @@ async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request
config["configurable"]["checkpoint_id"] = body.before
entries: list[HistoryEntry] = []
is_latest_checkpoint = True
try:
async for checkpoint_tuple in checkpointer.alist(config, limit=body.limit):
ckpt_config = getattr(checkpoint_tuple, "config", {})
@@ -575,42 +661,22 @@ async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request
channel_values = checkpoint.get("channel_values", {})
# Build values from checkpoint channel_values
values: dict[str, Any] = {}
if title := channel_values.get("title"):
values["title"] = title
if thread_data := channel_values.get("thread_data"):
values["thread_data"] = thread_data
# Attach messages from checkpointer only for the latest checkpoint
if is_latest_checkpoint:
messages = channel_values.get("messages")
if messages:
values["messages"] = serialize_channel_values({"messages": messages}).get("messages", [])
is_latest_checkpoint = False
# Derive next tasks
tasks_raw = getattr(checkpoint_tuple, "tasks", []) or []
next_tasks = [t.name for t in tasks_raw if hasattr(t, "name")]
# Strip LangGraph internal keys from metadata
user_meta = {k: v for k, v in metadata.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")}
# Keep step for ordering context
if "step" in metadata:
user_meta["step"] = metadata["step"]
entries.append(
HistoryEntry(
checkpoint_id=checkpoint_id,
parent_checkpoint_id=parent_id,
metadata=user_meta,
values=values,
metadata=metadata,
values=serialize_channel_values(channel_values),
created_at=str(metadata.get("created_at", "")),
next=next_tasks,
)
)
except Exception:
logger.exception("Failed to get history for thread %s", sanitize_log_param(thread_id))
logger.exception("Failed to get history for thread %s", thread_id)
raise HTTPException(status_code=500, detail="Failed to get thread history")
return entries
+3 -8
View File
@@ -4,10 +4,9 @@ import logging
import os
import stat
from fastapi import APIRouter, File, HTTPException, Request, UploadFile
from fastapi import APIRouter, File, HTTPException, UploadFile
from pydantic import BaseModel
from app.gateway.authz import require_permission
from deerflow.config.paths import get_paths
from deerflow.sandbox.sandbox_provider import get_sandbox_provider
from deerflow.uploads.manager import (
@@ -55,10 +54,8 @@ def _make_file_sandbox_writable(file_path: os.PathLike[str] | str) -> None:
@router.post("", response_model=UploadResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def upload_files(
thread_id: str,
request: Request,
files: list[UploadFile] = File(...),
) -> UploadResponse:
"""Upload multiple files to a thread's uploads directory."""
@@ -136,8 +133,7 @@ async def upload_files(
@router.get("/list", response_model=dict)
@require_permission("threads", "read", owner_check=True)
async def list_uploaded_files(thread_id: str, request: Request) -> dict:
async def list_uploaded_files(thread_id: str) -> dict:
"""List all files in a thread's uploads directory."""
try:
uploads_dir = get_uploads_dir(thread_id)
@@ -155,8 +151,7 @@ async def list_uploaded_files(thread_id: str, request: Request) -> dict:
@router.delete("/{filename}")
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_uploaded_file(thread_id: str, filename: str, request: Request) -> dict:
async def delete_uploaded_file(thread_id: str, filename: str) -> dict:
"""Delete a file from a thread's uploads directory."""
try:
uploads_dir = get_uploads_dir(thread_id)
+81 -39
View File
@@ -8,17 +8,16 @@ frames, and consuming stream bridge events. Router modules
from __future__ import annotations
import asyncio
import dataclasses
import json
import logging
import re
import time
from typing import Any
from fastapi import HTTPException, Request
from langchain_core.messages import HumanMessage
from app.gateway.deps import get_run_context, get_run_manager, get_run_store, get_stream_bridge
from app.gateway.utils import sanitize_log_param
from app.gateway.deps import get_checkpointer, get_run_manager, get_store, get_stream_bridge
from deerflow.runtime import (
END_SENTINEL,
HEARTBEAT_SENTINEL,
@@ -172,6 +171,71 @@ def build_run_config(
# ---------------------------------------------------------------------------
async def _upsert_thread_in_store(store, thread_id: str, metadata: dict | None) -> None:
"""Create or refresh the thread record in the Store.
Called from :func:`start_run` so that threads created via the stateless
``/runs/stream`` endpoint (which never calls ``POST /threads``) still
appear in ``/threads/search`` results.
"""
# Deferred import to avoid circular import with the threads router module.
from app.gateway.routers.threads import _store_upsert
try:
await _store_upsert(store, thread_id, metadata=metadata)
except Exception:
logger.warning("Failed to upsert thread %s in store (non-fatal)", thread_id)
async def _sync_thread_title_after_run(
run_task: asyncio.Task,
thread_id: str,
checkpointer: Any,
store: Any,
) -> None:
"""Wait for *run_task* to finish, then persist the generated title to the Store.
TitleMiddleware writes the generated title to the LangGraph agent state
(checkpointer) but the Gateway's Store record is not updated automatically.
This coroutine closes that gap by reading the final checkpoint after the
run completes and syncing ``values.title`` into the Store record so that
subsequent ``/threads/search`` responses include the correct title.
Runs as a fire-and-forget :func:`asyncio.create_task`; failures are
logged at DEBUG level and never propagate.
"""
# Wait for the background run task to complete (any outcome).
# asyncio.wait does not propagate task exceptions — it just returns
# when the task is done, cancelled, or failed.
await asyncio.wait({run_task})
# Deferred import to avoid circular import with the threads router module.
from app.gateway.routers.threads import _store_get, _store_put
try:
ckpt_config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
ckpt_tuple = await checkpointer.aget_tuple(ckpt_config)
if ckpt_tuple is None:
return
channel_values = ckpt_tuple.checkpoint.get("channel_values", {})
title = channel_values.get("title")
if not title:
return
existing = await _store_get(store, thread_id)
if existing is None:
return
updated = dict(existing)
updated.setdefault("values", {})["title"] = title
updated["updated_at"] = time.time()
await _store_put(store, updated)
logger.debug("Synced title %r for thread %s", title, thread_id)
except Exception:
logger.debug("Failed to sync title for thread %s (non-fatal)", thread_id, exc_info=True)
async def start_run(
body: Any,
thread_id: str,
@@ -191,25 +255,11 @@ async def start_run(
"""
bridge = get_stream_bridge(request)
run_mgr = get_run_manager(request)
run_ctx = get_run_context(request)
checkpointer = get_checkpointer(request)
store = get_store(request)
disconnect = DisconnectMode.cancel if body.on_disconnect == "cancel" else DisconnectMode.continue_
# Resolve follow_up_to_run_id: explicit from request, or auto-detect from latest successful run
follow_up_to_run_id = getattr(body, "follow_up_to_run_id", None)
if follow_up_to_run_id is None:
run_store = get_run_store(request)
try:
recent_runs = await run_store.list_by_thread(thread_id, limit=1)
if recent_runs and recent_runs[0].get("status") == "success":
follow_up_to_run_id = recent_runs[0]["run_id"]
except Exception:
pass # Don't block run creation
# Enrich base context with per-run field
if follow_up_to_run_id:
run_ctx = dataclasses.replace(run_ctx, follow_up_to_run_id=follow_up_to_run_id)
try:
record = await run_mgr.create_or_reject(
thread_id,
@@ -218,28 +268,17 @@ async def start_run(
metadata=body.metadata or {},
kwargs={"input": body.input, "config": body.config},
multitask_strategy=body.multitask_strategy,
follow_up_to_run_id=follow_up_to_run_id,
)
except ConflictError as exc:
raise HTTPException(status_code=409, detail=str(exc)) from exc
except UnsupportedStrategyError as exc:
raise HTTPException(status_code=501, detail=str(exc)) from exc
# Upsert thread metadata so the thread appears in /threads/search,
# even for threads that were never explicitly created via POST /threads
# (e.g. stateless runs).
try:
existing = await run_ctx.thread_meta_repo.get(thread_id)
if existing is None:
await run_ctx.thread_meta_repo.create(
thread_id,
assistant_id=body.assistant_id,
metadata=body.metadata,
)
else:
await run_ctx.thread_meta_repo.update_status(thread_id, "running")
except Exception:
logger.warning("Failed to upsert thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
# Ensure the thread is visible in /threads/search, even for threads that
# were never explicitly created via POST /threads (e.g. stateless runs).
store = get_store(request)
if store is not None:
await _upsert_thread_in_store(store, thread_id, body.metadata)
agent_factory = resolve_agent_factory(body.assistant_id)
graph_input = normalize_input(body.input)
@@ -272,7 +311,8 @@ async def start_run(
bridge,
run_mgr,
record,
ctx=run_ctx,
checkpointer=checkpointer,
store=store,
agent_factory=agent_factory,
graph_input=graph_input,
config=config,
@@ -284,9 +324,11 @@ async def start_run(
)
record.task = task
# Title sync is handled by worker.py's finally block which reads the
# title from the checkpoint and calls thread_meta_repo.update_display_name
# after the run completes.
# After the run completes, sync the title generated by TitleMiddleware from
# the checkpointer into the Store record so that /threads/search returns the
# correct title instead of an empty values dict.
if store is not None:
asyncio.create_task(_sync_thread_title_after_run(task, thread_id, checkpointer, store))
return record
-6
View File
@@ -1,6 +0,0 @@
"""Shared utility helpers for the Gateway layer."""
def sanitize_log_param(value: str) -> str:
"""Strip control characters to prevent log injection."""
return value.replace("\n", "").replace("\r", "").replace("\x00", "")
-77
View File
@@ -1,77 +0,0 @@
# Docker Test Gap (Section 七 7.4)
This file documents the only **un-executed** test cases from
`backend/docs/AUTH_TEST_PLAN.md` after the full release validation pass.
## Why this gap exists
The release validation environment (sg_dev: `10.251.229.92`) **does not have
a Docker daemon installed**. The TC-DOCKER cases are container-runtime
behavior tests that need an actual Docker engine to spin up
`docker/docker-compose.yaml` services.
```bash
$ ssh sg_dev "which docker; docker --version"
# (empty)
# bash: docker: command not found
```
All other test plan sections were executed against either:
- The local dev box (Mac, all services running locally), or
- The deployed sg_dev instance (gateway + frontend + nginx via SSH tunnel)
## Cases not executed
| Case | Title | What it covers | Why not run |
|---|---|---|---|
| TC-DOCKER-01 | `users.db` volume persistence | Verify the `DEER_FLOW_HOME` bind mount survives container restart | needs `docker compose up` |
| TC-DOCKER-02 | Session persistence across container restart | `AUTH_JWT_SECRET` env var keeps cookies valid after `docker compose down && up` | needs `docker compose down/up` |
| TC-DOCKER-03 | Per-worker rate limiter divergence | Confirms in-process `_login_attempts` dict doesn't share state across `gunicorn` workers (4 by default in the compose file); known limitation, documented | needs multi-worker container |
| TC-DOCKER-04 | IM channels skip AuthMiddleware | Verify Feishu/Slack/Telegram dispatchers run in-container against `http://langgraph:2024` without going through nginx | needs `docker logs` |
| TC-DOCKER-05 | Admin credentials surfacing | **Updated post-simplify** — was "log scrape", now "0600 credential file in `DEER_FLOW_HOME`". The file-based behavior is already validated by TC-1.1 + TC-UPG-13 on sg_dev (non-Docker), so the only Docker-specific gap is verifying the volume mount carries the file out to the host | needs container + host volume |
| TC-DOCKER-06 | Gateway-mode Docker deploy | `./scripts/deploy.sh --gateway` produces a 3-container topology (no `langgraph` container); same auth flow as standard mode | needs `docker compose --profile gateway` |
## Coverage already provided by non-Docker tests
The **auth-relevant** behavior in each Docker case is already exercised by
the test cases that ran on sg_dev or local:
| Docker case | Auth behavior covered by |
|---|---|
| TC-DOCKER-01 (volume persistence) | TC-REENT-01 on sg_dev (admin row survives gateway restart) — same SQLite file, just no container layer between |
| TC-DOCKER-02 (session persistence) | TC-API-02/03/06 (cookie roundtrip), plus TC-REENT-04 (multi-cookie) — JWT verification is process-state-free, container restart is equivalent to `pkill uvicorn && uv run uvicorn` |
| TC-DOCKER-03 (per-worker rate limit) | TC-GW-04 + TC-REENT-09 (single-worker rate limit + 5min expiry). The cross-worker divergence is an architectural property of the in-memory dict; no auth code path differs |
| TC-DOCKER-04 (IM channels skip auth) | Code-level only: `app/channels/manager.py` uses `langgraph_sdk` directly with no cookie handling. The langgraph_auth handler is bypassed by going through SDK, not HTTP |
| TC-DOCKER-05 (credential surfacing) | TC-1.1 on sg_dev (file at `~/deer-flow/backend/.deer-flow/admin_initial_credentials.txt`, mode 0600, password 22 chars) — the only Docker-unique step is whether the bind mount projects this path onto the host, which is a `docker compose` config check, not a runtime behavior change |
| TC-DOCKER-06 (gateway-mode container) | Section 七 7.2 covered by TC-GW-01..05 + Section 二 (gateway-mode auth flow on sg_dev) — same Gateway code, container is just a packaging change |
## Reproduction steps when Docker becomes available
Anyone with `docker` + `docker compose` installed can reproduce the gap by
running the test plan section verbatim. Pre-flight:
```bash
# Required on the host
docker --version # >=24.x
docker compose version # plugin >=2.x
# Required env var (otherwise sessions reset on every container restart)
echo "AUTH_JWT_SECRET=$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')" \
>> .env
# Optional: pin DEER_FLOW_HOME to a stable host path
echo "DEER_FLOW_HOME=$HOME/deer-flow-data" >> .env
```
Then run TC-DOCKER-01..06 from the test plan as written.
## Decision log
- **Not blocking the release.** The auth-relevant behavior in every Docker
case has an already-validated equivalent on bare metal. The gap is purely
about *container packaging* details (bind mounts, multi-worker, log
collection), not about whether the auth code paths work.
- **TC-DOCKER-05 was updated in place** in `AUTH_TEST_PLAN.md` to reflect
the post-simplify reality (credentials file → 0600 file, no log leak).
The old "grep 'Password:' in docker logs" expectation would have failed
silently and given a false sense of coverage.
File diff suppressed because it is too large Load Diff
-129
View File
@@ -1,129 +0,0 @@
# Authentication Upgrade Guide
DeerFlow 内置了认证模块。本文档面向从无认证版本升级的用户。
## 核心概念
认证模块采用**始终强制**策略:
- 首次启动时自动创建 admin 账号,随机密码打印到控制台日志
- 认证从一开始就是强制的,无竞争窗口
- 历史对话(升级前创建的 thread)自动迁移到 admin 名下
## 升级步骤
### 1. 更新代码
```bash
git pull origin main
cd backend && make install
```
### 2. 首次启动
```bash
make dev
```
控制台会输出:
```
============================================================
Admin account created on first boot
Email: admin@deerflow.dev
Password: aB3xK9mN_pQ7rT2w
Change it after login: Settings → Account
============================================================
```
如果未登录就重启了服务,不用担心——只要 setup 未完成,每次启动都会重置密码并重新打印到控制台。
### 3. 登录
访问 `http://localhost:2026/login`,使用控制台输出的邮箱和密码登录。
### 4. 修改密码
登录后进入 Settings → Account → Change Password。
### 5. 添加用户(可选)
其他用户通过 `/login` 页面注册,自动获得 **user** 角色。每个用户只能看到自己的对话。
## 安全机制
| 机制 | 说明 |
|------|------|
| JWT HttpOnly Cookie | Token 不暴露给 JavaScript,防止 XSS 窃取 |
| CSRF Double Submit Cookie | 所有 POST/PUT/DELETE 请求需携带 `X-CSRF-Token` |
| bcrypt 密码哈希 | 密码不以明文存储 |
| 多租户隔离 | 用户只能访问自己的 thread |
| HTTPS 自适应 | 检测 `x-forwarded-proto`,自动设置 `Secure` cookie 标志 |
## 常见操作
### 忘记密码
```bash
cd backend
# 重置 admin 密码
python -m app.gateway.auth.reset_admin
# 重置指定用户密码
python -m app.gateway.auth.reset_admin --email user@example.com
```
会输出新的随机密码。
### 完全重置
删除用户数据库,重启后自动创建新 admin:
```bash
rm -f backend/.deer-flow/users.db
# 重启服务,控制台输出新密码
```
## 数据存储
| 文件 | 内容 |
|------|------|
| `.deer-flow/users.db` | SQLite 用户数据库(密码哈希、角色) |
| `.env` 中的 `AUTH_JWT_SECRET` | JWT 签名密钥(未设置时自动生成临时密钥,重启后 session 失效) |
### 生产环境建议
```bash
# 生成持久化 JWT 密钥,避免重启后所有用户需重新登录
python -c "import secrets; print(secrets.token_urlsafe(32))"
# 将输出添加到 .env
# AUTH_JWT_SECRET=<生成的密钥>
```
## API 端点
| 端点 | 方法 | 说明 |
|------|------|------|
| `/api/v1/auth/login/local` | POST | 邮箱密码登录(OAuth2 form |
| `/api/v1/auth/register` | POST | 注册新用户(user 角色) |
| `/api/v1/auth/logout` | POST | 登出(清除 cookie |
| `/api/v1/auth/me` | GET | 获取当前用户信息 |
| `/api/v1/auth/change-password` | POST | 修改密码 |
| `/api/v1/auth/setup-status` | GET | 检查 admin 是否存在 |
## 兼容性
- **标准模式**`make dev`):完全兼容,admin 自动创建
- **Gateway 模式**`make dev-pro`):完全兼容
- **Docker 部署**:完全兼容,`.deer-flow/users.db` 需持久化卷挂载
- **IM 渠道**Feishu/Slack/Telegram):通过 LangGraph SDK 通信,不经过认证层
- **DeerFlowClient**(嵌入式):不经过 HTTP,不受认证影响
## 故障排查
| 症状 | 原因 | 解决 |
|------|------|------|
| 启动后没看到密码 | admin 已存在(非首次启动) | 用 `reset_admin` 重置,或删 `users.db` |
| 登录后 POST 返回 403 | CSRF token 缺失 | 确认前端已更新 |
| 重启后需要重新登录 | `AUTH_JWT_SECRET` 未持久化 | 在 `.env` 中设置固定密钥 |
+2 -2
View File
@@ -11,6 +11,7 @@
- [x] Add Plan Mode with TodoList middleware
- [x] Add vision model support with ViewImageMiddleware
- [x] Skills system with SKILL.md format
- [x] Replace `time.sleep(5)` with `asyncio.sleep()` in `packages/harness/deerflow/tools/builtins/task_tool.py` (subagent polling)
## Planned Features
@@ -21,8 +22,7 @@
- [ ] Support for more document formats in upload
- [ ] Skill marketplace / remote skill installation
- [ ] Optimize async concurrency in agent hot path (IM channels multi-task scenario)
- Replace `time.sleep(5)` with `asyncio.sleep()` in `packages/harness/deerflow/tools/builtins/task_tool.py` (subagent polling)
- Replace `subprocess.run()` with `asyncio.create_subprocess_shell()` in `packages/harness/deerflow/sandbox/local/local_sandbox.py`
- [ ] Replace `subprocess.run()` with `asyncio.create_subprocess_shell()` in `packages/harness/deerflow/sandbox/local/local_sandbox.py`
- Replace sync `requests` with `httpx.AsyncClient` in community tools (tavily, jina_ai, firecrawl, infoquest, image_search)
- Replace sync `model.invoke()` with async `model.ainvoke()` in title_middleware and memory updater
- Consider `asyncio.to_thread()` wrapper for remaining blocking file I/O
-3
View File
@@ -8,9 +8,6 @@
"graphs": {
"lead_agent": "deerflow.agents:make_lead_agent"
},
"auth": {
"path": "./app/gateway/langgraph_auth.py:auth"
},
"checkpointer": {
"path": "./packages/harness/deerflow/agents/checkpointer/async_provider.py:make_checkpointer"
}
@@ -83,77 +83,24 @@ async def _async_checkpointer(config) -> AsyncIterator[Checkpointer]:
# ---------------------------------------------------------------------------
@contextlib.asynccontextmanager
async def _async_checkpointer_from_database(db_config) -> AsyncIterator[Checkpointer]:
"""Async context manager that constructs a checkpointer from unified DatabaseConfig."""
if db_config.backend == "memory":
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
return
if db_config.backend == "sqlite":
try:
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
except ImportError as exc:
raise ImportError(SQLITE_INSTALL) from exc
conn_str = db_config.checkpointer_sqlite_path
ensure_sqlite_parent_dir(conn_str)
async with AsyncSqliteSaver.from_conn_string(conn_str) as saver:
await saver.setup()
yield saver
return
if db_config.backend == "postgres":
try:
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
except ImportError as exc:
raise ImportError(POSTGRES_INSTALL) from exc
if not db_config.postgres_url:
raise ValueError("database.postgres_url is required for the postgres backend")
async with AsyncPostgresSaver.from_conn_string(db_config.postgres_url) as saver:
await saver.setup()
yield saver
return
raise ValueError(f"Unknown database backend: {db_config.backend!r}")
@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::
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*.
Priority:
1. Legacy ``checkpointer:`` config section (backward compatible)
2. Unified ``database:`` config section
3. Default InMemorySaver
"""
config = get_app_config()
# Legacy: standalone checkpointer config takes precedence
if config.checkpointer is not None:
async with _async_checkpointer(config.checkpointer) as saver:
yield saver
return
if config.checkpointer is None:
from langgraph.checkpoint.memory import InMemorySaver
# Unified database config
db_config = getattr(config, "database", None)
if db_config is not None and db_config.backend != "memory":
async with _async_checkpointer_from_database(db_config) as saver:
yield saver
return
yield InMemorySaver()
return
# Default: in-memory
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
async with _async_checkpointer(config.checkpointer) as saver:
yield saver
@@ -56,15 +56,13 @@ def _create_summarization_middleware() -> SummarizationMiddleware | None:
# Prepare keep parameter
keep = config.keep.to_tuple()
# Prepare model parameter.
# Bind "middleware:summarize" tag so RunJournal identifies these LLM calls
# as middleware rather than lead_agent (SummarizationMiddleware is a
# LangChain built-in, so we tag the model at creation time).
# Prepare model parameter
if config.model_name:
model = create_chat_model(name=config.model_name, thinking_enabled=False)
else:
# Use a lightweight model for summarization to save costs
# Falls back to default model if not explicitly specified
model = create_chat_model(thinking_enabled=False)
model = model.with_config(tags=["middleware:summarize"])
# Prepare kwargs
kwargs = {
@@ -164,30 +164,6 @@ Skip simple one-off tasks.
"""
def _skill_mutability_label(category: str) -> str:
return "[custom, editable]" if category == "custom" else "[built-in]"
def clear_skills_system_prompt_cache() -> None:
_get_cached_skills_prompt_section.cache_clear()
def _build_skill_evolution_section(skill_evolution_enabled: bool) -> str:
if not skill_evolution_enabled:
return ""
return """
## Skill Self-Evolution
After completing a task, consider creating or updating a skill when:
- The task required 5+ tool calls to resolve
- You overcame non-obvious errors or pitfalls
- The user corrected your approach and the corrected version worked
- You discovered a non-trivial, recurring workflow
If you used a skill and encountered issues not covered by it, patch it immediately.
Prefer patch over edit. Before creating a new skill, confirm with the user first.
Skip simple one-off tasks.
"""
def _build_subagent_section(max_concurrent: int) -> str:
"""Build the subagent system prompt section with dynamic concurrency limit.
@@ -31,6 +31,8 @@ _DEFAULT_WARN_THRESHOLD = 3 # inject warning after 3 identical calls
_DEFAULT_HARD_LIMIT = 5 # force-stop after 5 identical calls
_DEFAULT_WINDOW_SIZE = 20 # track last N tool calls
_DEFAULT_MAX_TRACKED_THREADS = 100 # LRU eviction limit
_DEFAULT_TOOL_FREQ_WARN = 30 # warn after 30 calls to the same tool type
_DEFAULT_TOOL_FREQ_HARD_LIMIT = 50 # force-stop after 50 calls to the same tool type
def _normalize_tool_call_args(raw_args: object) -> tuple[dict, str | None]:
@@ -125,8 +127,14 @@ def _hash_tool_calls(tool_calls: list[dict]) -> str:
_WARNING_MSG = "[LOOP DETECTED] You are repeating the same tool calls. Stop calling tools and produce your final answer now. If you cannot complete the task, summarize what you accomplished so far."
_TOOL_FREQ_WARNING_MSG = (
"[LOOP DETECTED] You have called {tool_name} {count} times without producing a final answer. Stop calling tools and produce your final answer now. If you cannot complete the task, summarize what you accomplished so far."
)
_HARD_STOP_MSG = "[FORCED STOP] Repeated tool calls exceeded the safety limit. Producing final answer with results collected so far."
_TOOL_FREQ_HARD_STOP_MSG = "[FORCED STOP] Tool {tool_name} called {count} times — exceeded the per-tool safety limit. Producing final answer with results collected so far."
class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
"""Detects and breaks repetitive tool call loops.
@@ -140,6 +148,12 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
Default: 20.
max_tracked_threads: Maximum number of threads to track before
evicting the least recently used. Default: 100.
tool_freq_warn: Number of calls to the same tool *type* (regardless
of arguments) before injecting a frequency warning. Catches
cross-file read loops that hash-based detection misses.
Default: 30.
tool_freq_hard_limit: Number of calls to the same tool type before
forcing a stop. Default: 50.
"""
def __init__(
@@ -148,16 +162,23 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
hard_limit: int = _DEFAULT_HARD_LIMIT,
window_size: int = _DEFAULT_WINDOW_SIZE,
max_tracked_threads: int = _DEFAULT_MAX_TRACKED_THREADS,
tool_freq_warn: int = _DEFAULT_TOOL_FREQ_WARN,
tool_freq_hard_limit: int = _DEFAULT_TOOL_FREQ_HARD_LIMIT,
):
super().__init__()
self.warn_threshold = warn_threshold
self.hard_limit = hard_limit
self.window_size = window_size
self.max_tracked_threads = max_tracked_threads
self.tool_freq_warn = tool_freq_warn
self.tool_freq_hard_limit = tool_freq_hard_limit
self._lock = threading.Lock()
# Per-thread tracking using OrderedDict for LRU eviction
self._history: OrderedDict[str, list[str]] = OrderedDict()
self._warned: dict[str, set[str]] = defaultdict(set)
# Per-thread, per-tool-type cumulative call counts
self._tool_freq: dict[str, dict[str, int]] = defaultdict(lambda: defaultdict(int))
self._tool_freq_warned: dict[str, set[str]] = defaultdict(set)
def _get_thread_id(self, runtime: Runtime) -> str:
"""Extract thread_id from runtime context for per-thread tracking."""
@@ -174,11 +195,19 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
while len(self._history) > self.max_tracked_threads:
evicted_id, _ = self._history.popitem(last=False)
self._warned.pop(evicted_id, None)
self._tool_freq.pop(evicted_id, None)
self._tool_freq_warned.pop(evicted_id, None)
logger.debug("Evicted loop tracking for thread %s (LRU)", evicted_id)
def _track_and_check(self, state: AgentState, runtime: Runtime) -> tuple[str | None, bool]:
"""Track tool calls and check for loops.
Two detection layers:
1. **Hash-based** (existing): catches identical tool call sets.
2. **Frequency-based** (new): catches the same *tool type* being
called many times with varying arguments (e.g. ``read_file``
on 40 different files).
Returns:
(warning_message_or_none, should_hard_stop)
"""
@@ -213,6 +242,7 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
count = history.count(call_hash)
tool_names = [tc.get("name", "?") for tc in tool_calls]
# --- Layer 1: hash-based (identical call sets) ---
if count >= self.hard_limit:
logger.error(
"Loop hard limit reached — forcing stop",
@@ -239,8 +269,40 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
},
)
return _WARNING_MSG, False
# Warning already injected for this hash — suppress
return None, False
# --- Layer 2: per-tool-type frequency ---
freq = self._tool_freq[thread_id]
for tc in tool_calls:
name = tc.get("name", "")
if not name:
continue
freq[name] += 1
tc_count = freq[name]
if tc_count >= self.tool_freq_hard_limit:
logger.error(
"Tool frequency hard limit reached — forcing stop",
extra={
"thread_id": thread_id,
"tool_name": name,
"count": tc_count,
},
)
return _TOOL_FREQ_HARD_STOP_MSG.format(tool_name=name, count=tc_count), True
if tc_count >= self.tool_freq_warn:
warned = self._tool_freq_warned[thread_id]
if name not in warned:
warned.add(name)
logger.warning(
"Tool frequency warning — too many calls to same tool type",
extra={
"thread_id": thread_id,
"tool_name": name,
"count": tc_count,
},
)
return _TOOL_FREQ_WARNING_MSG.format(tool_name=name, count=tc_count), False
return None, False
@@ -271,7 +333,7 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
stripped_msg = last_msg.model_copy(
update={
"tool_calls": [],
"content": self._append_text(last_msg.content, _HARD_STOP_MSG),
"content": self._append_text(last_msg.content, warning),
}
)
return {"messages": [stripped_msg]}
@@ -301,6 +363,10 @@ class LoopDetectionMiddleware(AgentMiddleware[AgentState]):
if thread_id:
self._history.pop(thread_id, None)
self._warned.pop(thread_id, None)
self._tool_freq.pop(thread_id, None)
self._tool_freq_warned.pop(thread_id, None)
else:
self._history.clear()
self._warned.clear()
self._tool_freq.clear()
self._tool_freq_warned.clear()
@@ -1,11 +1,10 @@
"""Middleware for automatic thread title generation."""
import logging
from typing import Any, NotRequired, override
from typing import NotRequired, override
from langchain.agents import AgentState
from langchain.agents.middleware import AgentMiddleware
from langgraph.config import get_config
from langgraph.runtime import Runtime
from deerflow.config.title_config import get_title_config
@@ -101,20 +100,6 @@ class TitleMiddleware(AgentMiddleware[TitleMiddlewareState]):
return user_msg[:fallback_chars].rstrip() + "..."
return user_msg if user_msg else "New Conversation"
def _get_runnable_config(self) -> dict[str, Any]:
"""Inherit the parent RunnableConfig and add middleware tag.
This ensures RunJournal identifies LLM calls from this middleware
as ``middleware:title`` instead of ``lead_agent``.
"""
try:
parent = get_config()
except Exception:
parent = {}
config = {**parent}
config["tags"] = [*(config.get("tags") or []), "middleware:title"]
return config
def _generate_title_result(self, state: TitleMiddlewareState) -> dict | None:
"""Generate a local fallback title without blocking on an LLM call."""
if not self._should_generate_title(state):
@@ -136,7 +121,7 @@ class TitleMiddleware(AgentMiddleware[TitleMiddlewareState]):
model = create_chat_model(name=config.model_name, thinking_enabled=False)
else:
model = create_chat_model(thinking_enabled=False)
response = await model.ainvoke(prompt, config=self._get_runnable_config())
response = await model.ainvoke(prompt)
title = self._parse_title(response.content)
if title:
return {"title": title}
@@ -262,21 +262,25 @@ class UploadsMiddleware(AgentMiddleware[UploadsMiddlewareState]):
files_message = self._create_files_message(new_files, historical_files)
# Extract original content - handle both string and list formats
original_content = ""
if isinstance(last_message.content, str):
original_content = last_message.content
elif isinstance(last_message.content, list):
text_parts = []
for block in last_message.content:
if isinstance(block, dict) and block.get("type") == "text":
text_parts.append(block.get("text", ""))
original_content = "\n".join(text_parts)
original_content = last_message.content
if isinstance(original_content, str):
# Simple case: string content, just prepend files message
updated_content = f"{files_message}\n\n{original_content}"
elif isinstance(original_content, list):
# Complex case: list content (multimodal), preserve all blocks
# Prepend files message as the first text block
files_block = {"type": "text", "text": f"{files_message}\n\n"}
# Keep all original blocks (including images)
updated_content = [files_block, *original_content]
else:
# Other types, preserve as-is
updated_content = original_content
# Create new message with combined content.
# Preserve additional_kwargs (including files metadata) so the frontend
# can read structured file info from the streamed message.
updated_message = HumanMessage(
content=f"{files_message}\n\n{original_content}",
content=updated_content,
id=last_message.id,
additional_kwargs=last_message.additional_kwargs,
)
@@ -10,12 +10,10 @@ from pydantic import BaseModel, ConfigDict, Field
from deerflow.config.acp_config import load_acp_config_from_dict
from deerflow.config.checkpointer_config import CheckpointerConfig, load_checkpointer_config_from_dict
from deerflow.config.database_config import DatabaseConfig
from deerflow.config.extensions_config import ExtensionsConfig
from deerflow.config.guardrails_config import GuardrailsConfig, load_guardrails_config_from_dict
from deerflow.config.memory_config import MemoryConfig, load_memory_config_from_dict
from deerflow.config.model_config import ModelConfig
from deerflow.config.run_events_config import RunEventsConfig
from deerflow.config.sandbox_config import SandboxConfig
from deerflow.config.skill_evolution_config import SkillEvolutionConfig
from deerflow.config.skills_config import SkillsConfig
@@ -58,8 +56,6 @@ class AppConfig(BaseModel):
subagents: SubagentsAppConfig = Field(default_factory=SubagentsAppConfig, description="Subagent runtime configuration")
guardrails: GuardrailsConfig = Field(default_factory=GuardrailsConfig, description="Guardrail middleware configuration")
model_config = ConfigDict(extra="allow", frozen=False)
database: DatabaseConfig = Field(default_factory=DatabaseConfig, description="Unified database backend configuration")
run_events: RunEventsConfig = Field(default_factory=RunEventsConfig, description="Run event storage configuration")
checkpointer: CheckpointerConfig | None = Field(default=None, description="Checkpointer configuration")
stream_bridge: StreamBridgeConfig | None = Field(default=None, description="Stream bridge configuration")
@@ -1,92 +0,0 @@
"""Unified database backend configuration.
Controls BOTH the LangGraph checkpointer and the DeerFlow application
persistence layer (runs, threads metadata, users, etc.). The user
configures one backend; the system handles physical separation details.
SQLite mode: checkpointer and app use different .db files in the same
directory to avoid write-lock contention. This is automatic.
Postgres mode: both use the same database URL but maintain independent
connection pools with different lifecycles.
Memory mode: checkpointer uses MemorySaver, app uses in-memory stores.
No database is initialized.
Sensitive values (postgres_url) should use $VAR syntax in config.yaml
to reference environment variables from .env:
database:
backend: postgres
postgres_url: $DATABASE_URL
The $VAR resolution is handled by AppConfig.resolve_env_variables()
before this config is instantiated -- DatabaseConfig itself does not
need to do any environment variable processing.
"""
from __future__ import annotations
import os
from typing import Literal
from pydantic import BaseModel, Field
class DatabaseConfig(BaseModel):
backend: Literal["memory", "sqlite", "postgres"] = Field(
default="memory",
description=("Storage backend for both checkpointer and application data. 'memory' for development (no persistence across restarts), 'sqlite' for single-node deployment, 'postgres' for production multi-node deployment."),
)
sqlite_dir: str = Field(
default=".deer-flow/data",
description=("Directory for SQLite database files. Checkpointer uses {sqlite_dir}/checkpoints.db, application data uses {sqlite_dir}/app.db."),
)
postgres_url: str = Field(
default="",
description=(
"PostgreSQL connection URL, shared by checkpointer and app. "
"Use $DATABASE_URL in config.yaml to reference .env. "
"Example: postgresql://user:pass@host:5432/deerflow "
"(the +asyncpg driver suffix is added automatically where needed)."
),
)
echo_sql: bool = Field(
default=False,
description="Echo all SQL statements to log (debug only).",
)
pool_size: int = Field(
default=5,
description="Connection pool size for the app ORM engine (postgres only).",
)
# -- Derived helpers (not user-configured) --
@property
def _resolved_sqlite_dir(self) -> str:
"""Resolve sqlite_dir to an absolute path (relative to CWD)."""
from pathlib import Path
return str(Path(self.sqlite_dir).resolve())
@property
def checkpointer_sqlite_path(self) -> str:
"""SQLite file path for the LangGraph checkpointer."""
return os.path.join(self._resolved_sqlite_dir, "checkpoints.db")
@property
def app_sqlite_path(self) -> str:
"""SQLite file path for application ORM data."""
return os.path.join(self._resolved_sqlite_dir, "app.db")
@property
def app_sqlalchemy_url(self) -> str:
"""SQLAlchemy async URL for the application ORM engine."""
if self.backend == "sqlite":
return f"sqlite+aiosqlite:///{self.app_sqlite_path}"
if self.backend == "postgres":
url = self.postgres_url
if url.startswith("postgresql://"):
url = url.replace("postgresql://", "postgresql+asyncpg://", 1)
return url
raise ValueError(f"No SQLAlchemy URL for backend={self.backend!r}")
@@ -1,33 +0,0 @@
"""Run event storage configuration.
Controls where run events (messages + execution traces) are persisted.
Backends:
- memory: In-memory storage, data lost on restart. Suitable for
development and testing.
- db: SQL database via SQLAlchemy ORM. Provides full query capability.
Suitable for production deployments.
- jsonl: Append-only JSONL files. Lightweight alternative for
single-node deployments that need persistence without a database.
"""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field
class RunEventsConfig(BaseModel):
backend: Literal["memory", "db", "jsonl"] = Field(
default="memory",
description="Storage backend for run events. 'memory' for development (no persistence), 'db' for production (SQL queries), 'jsonl' for lightweight single-node persistence.",
)
max_trace_content: int = Field(
default=10240,
description="Maximum trace content size in bytes before truncation (db backend only).",
)
track_token_usage: bool = Field(
default=True,
description="Whether RunJournal should accumulate token counts to RunRow.",
)
@@ -20,6 +20,11 @@ class SubagentOverrideConfig(BaseModel):
ge=1,
description="Maximum turns for this subagent (None = use global or builtin default)",
)
model: str | None = Field(
default=None,
min_length=1,
description="Model name for this subagent (None = inherit from parent agent)",
)
class SubagentsAppConfig(BaseModel):
@@ -54,6 +59,20 @@ class SubagentsAppConfig(BaseModel):
return override.timeout_seconds
return self.timeout_seconds
def get_model_for(self, agent_name: str) -> str | None:
"""Get the model override for a specific agent.
Args:
agent_name: The name of the subagent.
Returns:
Model name if overridden, None otherwise (subagent will inherit parent model).
"""
override = self.agents.get(agent_name)
if override is not None and override.model is not None:
return override.model
return None
def get_max_turns_for(self, agent_name: str, builtin_default: int) -> int:
"""Get the effective max_turns for a specific agent."""
override = self.agents.get(agent_name)
@@ -84,6 +103,8 @@ def load_subagents_config_from_dict(config_dict: dict) -> None:
parts.append(f"timeout={override.timeout_seconds}s")
if override.max_turns is not None:
parts.append(f"max_turns={override.max_turns}")
if override.model is not None:
parts.append(f"model={override.model}")
if parts:
overrides_summary[name] = ", ".join(parts)
@@ -113,16 +113,7 @@ def create_chat_model(name: str | None = None, thinking_enabled: bool = False, *
elif "reasoning_effort" not in model_settings_from_config:
model_settings_from_config["reasoning_effort"] = "medium"
# Ensure stream_usage is enabled so that token usage metadata is available
# in streaming responses. LangChain's BaseChatOpenAI only defaults
# stream_usage=True when no custom base_url/api_base is set, so models
# hitting third-party endpoints (e.g. doubao, deepseek) silently lose
# usage data. We default it to True unless explicitly configured.
if "stream_usage" not in model_settings_from_config and "stream_usage" not in kwargs:
if "stream_usage" in getattr(model_class, "model_fields", {}):
model_settings_from_config["stream_usage"] = True
model_instance = model_class(**kwargs, **model_settings_from_config)
model_instance = model_class(**{**model_settings_from_config, **kwargs})
callbacks = build_tracing_callbacks()
if callbacks:
@@ -1,13 +0,0 @@
"""DeerFlow application persistence layer (SQLAlchemy 2.0 async ORM).
This module manages DeerFlow's own application data -- runs metadata,
thread ownership, cron jobs, users. It is completely separate from
LangGraph's checkpointer, which manages graph execution state.
Usage:
from deerflow.persistence import init_engine, close_engine, get_session_factory
"""
from deerflow.persistence.engine import close_engine, get_engine, get_session_factory, init_engine
__all__ = ["close_engine", "get_engine", "get_session_factory", "init_engine"]
@@ -1,40 +0,0 @@
"""SQLAlchemy declarative base with automatic to_dict support.
All DeerFlow ORM models inherit from this Base. It provides a generic
to_dict() method via SQLAlchemy's inspect() so individual models don't
need to write their own serialization logic.
LangGraph's checkpointer tables are NOT managed by this Base.
"""
from __future__ import annotations
from sqlalchemy import inspect as sa_inspect
from sqlalchemy.orm import DeclarativeBase
class Base(DeclarativeBase):
"""Base class for all DeerFlow ORM models.
Provides:
- Automatic to_dict() via SQLAlchemy column inspection.
- Standard __repr__() showing all column values.
"""
def to_dict(self, *, exclude: set[str] | None = None) -> dict:
"""Convert ORM instance to plain dict.
Uses SQLAlchemy's inspect() to iterate mapped column attributes.
Args:
exclude: Optional set of column keys to omit.
Returns:
Dict of {column_key: value} for all mapped columns.
"""
exclude = exclude or set()
return {c.key: getattr(self, c.key) for c in sa_inspect(type(self)).mapper.column_attrs if c.key not in exclude}
def __repr__(self) -> str:
cols = ", ".join(f"{c.key}={getattr(self, c.key)!r}" for c in sa_inspect(type(self)).mapper.column_attrs)
return f"{type(self).__name__}({cols})"
@@ -1,185 +0,0 @@
"""Async SQLAlchemy engine lifecycle management.
Initializes at Gateway startup, provides session factory for
repositories, disposes at shutdown.
When database.backend="memory", init_engine is a no-op and
get_session_factory() returns None. Repositories must check for
None and fall back to in-memory implementations.
"""
from __future__ import annotations
import json
import logging
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker, create_async_engine
def _json_serializer(obj: object) -> str:
"""JSON serializer with ensure_ascii=False for Chinese character support."""
return json.dumps(obj, ensure_ascii=False)
logger = logging.getLogger(__name__)
_engine: AsyncEngine | None = None
_session_factory: async_sessionmaker[AsyncSession] | None = None
async def _auto_create_postgres_db(url: str) -> None:
"""Connect to the ``postgres`` maintenance DB and CREATE DATABASE.
The target database name is extracted from *url*. The connection is
made to the default ``postgres`` database on the same server using
``AUTOCOMMIT`` isolation (CREATE DATABASE cannot run inside a
transaction).
"""
from sqlalchemy import text
from sqlalchemy.engine.url import make_url
parsed = make_url(url)
db_name = parsed.database
if not db_name:
raise ValueError("Cannot auto-create database: no database name in URL")
# Connect to the default 'postgres' database to issue CREATE DATABASE
maint_url = parsed.set(database="postgres")
maint_engine = create_async_engine(maint_url, isolation_level="AUTOCOMMIT")
try:
async with maint_engine.connect() as conn:
await conn.execute(text(f'CREATE DATABASE "{db_name}"'))
logger.info("Auto-created PostgreSQL database: %s", db_name)
finally:
await maint_engine.dispose()
async def init_engine(
backend: str,
*,
url: str = "",
echo: bool = False,
pool_size: int = 5,
sqlite_dir: str = "",
) -> None:
"""Create the async engine and session factory, then auto-create tables.
Args:
backend: "memory", "sqlite", or "postgres".
url: SQLAlchemy async URL (for sqlite/postgres).
echo: Echo SQL to log.
pool_size: Postgres connection pool size.
sqlite_dir: Directory to create for SQLite (ensured to exist).
"""
global _engine, _session_factory
if backend == "memory":
logger.info("Persistence backend=memory -- ORM engine not initialized")
return
if backend == "postgres":
try:
import asyncpg # noqa: F401
except ImportError:
raise ImportError("database.backend is set to 'postgres' but asyncpg is not installed.\nInstall it with:\n uv sync --extra postgres\nOr switch to backend: sqlite in config.yaml for single-node deployment.") from None
if backend == "sqlite":
import os
from sqlalchemy import event
os.makedirs(sqlite_dir or ".", exist_ok=True)
_engine = create_async_engine(url, echo=echo, json_serializer=_json_serializer)
# Enable WAL on every new connection. SQLite PRAGMA settings are
# per-connection, so we wire the listener instead of running PRAGMA
# once at startup. WAL gives concurrent reads + writers without
# blocking and is the standard recommendation for any production
# SQLite deployment (TC-UPG-06 in AUTH_TEST_PLAN.md). The companion
# ``synchronous=NORMAL`` is the safe-and-fast pairing — fsync only
# at WAL checkpoint boundaries instead of every commit.
@event.listens_for(_engine.sync_engine, "connect")
def _enable_sqlite_wal(dbapi_conn, _record): # noqa: ARG001 — SQLAlchemy contract
cursor = dbapi_conn.cursor()
try:
cursor.execute("PRAGMA journal_mode=WAL;")
cursor.execute("PRAGMA synchronous=NORMAL;")
cursor.execute("PRAGMA foreign_keys=ON;")
finally:
cursor.close()
elif backend == "postgres":
_engine = create_async_engine(
url,
echo=echo,
pool_size=pool_size,
pool_pre_ping=True,
json_serializer=_json_serializer,
)
else:
raise ValueError(f"Unknown persistence backend: {backend!r}")
_session_factory = async_sessionmaker(_engine, expire_on_commit=False)
# Auto-create tables (dev convenience). Production should use Alembic.
from deerflow.persistence.base import Base
# Import all models so Base.metadata discovers them.
# When no models exist yet (scaffolding phase), this is a no-op.
try:
import deerflow.persistence.models # noqa: F401
except ImportError:
# Models package not yet available — tables won't be auto-created.
# This is expected during initial scaffolding or minimal installs.
logger.debug("deerflow.persistence.models not found; skipping auto-create tables")
try:
async with _engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
except Exception as exc:
if backend == "postgres" and "does not exist" in str(exc):
# Database not yet created — attempt to auto-create it, then retry.
await _auto_create_postgres_db(url)
# Rebuild engine against the now-existing database
await _engine.dispose()
_engine = create_async_engine(url, echo=echo, pool_size=pool_size, pool_pre_ping=True, json_serializer=_json_serializer)
_session_factory = async_sessionmaker(_engine, expire_on_commit=False)
async with _engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
else:
raise
logger.info("Persistence engine initialized: backend=%s", backend)
async def init_engine_from_config(config) -> None:
"""Convenience: init engine from a DatabaseConfig object."""
if config.backend == "memory":
await init_engine("memory")
return
await init_engine(
backend=config.backend,
url=config.app_sqlalchemy_url,
echo=config.echo_sql,
pool_size=config.pool_size,
sqlite_dir=config.sqlite_dir if config.backend == "sqlite" else "",
)
def get_session_factory() -> async_sessionmaker[AsyncSession] | None:
"""Return the async session factory, or None if backend=memory."""
return _session_factory
def get_engine() -> AsyncEngine | None:
"""Return the async engine, or None if not initialized."""
return _engine
async def close_engine() -> None:
"""Dispose the engine, release all connections."""
global _engine, _session_factory
if _engine is not None:
await _engine.dispose()
logger.info("Persistence engine closed")
_engine = None
_session_factory = None
@@ -1,6 +0,0 @@
"""Feedback persistence — ORM and SQL repository."""
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.persistence.feedback.sql import FeedbackRepository
__all__ = ["FeedbackRepository", "FeedbackRow"]
@@ -1,30 +0,0 @@
"""ORM model for user feedback on runs."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import DateTime, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class FeedbackRow(Base):
__tablename__ = "feedback"
feedback_id: Mapped[str] = mapped_column(String(64), primary_key=True)
run_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
message_id: Mapped[str | None] = mapped_column(String(64))
# message_id is an optional RunEventStore event identifier —
# allows feedback to target a specific message or the entire run
rating: Mapped[int] = mapped_column(nullable=False)
# +1 (thumbs-up) or -1 (thumbs-down)
comment: Mapped[str | None] = mapped_column(Text)
# Optional text feedback from the user
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
@@ -1,139 +0,0 @@
"""SQLAlchemy-backed feedback storage.
Each method acquires its own short-lived session.
"""
from __future__ import annotations
import uuid
from datetime import UTC, datetime
from sqlalchemy import case, func, select
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class FeedbackRepository:
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _row_to_dict(row: FeedbackRow) -> dict:
d = row.to_dict()
val = d.get("created_at")
if isinstance(val, datetime):
d["created_at"] = val.isoformat()
return d
async def create(
self,
*,
run_id: str,
thread_id: str,
rating: int,
owner_id: str | None | _AutoSentinel = AUTO,
message_id: str | None = None,
comment: str | None = None,
) -> dict:
"""Create a feedback record. rating must be +1 or -1."""
if rating not in (1, -1):
raise ValueError(f"rating must be +1 or -1, got {rating}")
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.create")
row = FeedbackRow(
feedback_id=str(uuid.uuid4()),
run_id=run_id,
thread_id=thread_id,
owner_id=resolved_owner_id,
message_id=message_id,
rating=rating,
comment=comment,
created_at=datetime.now(UTC),
)
async with self._sf() as session:
session.add(row)
await session.commit()
await session.refresh(row)
return self._row_to_dict(row)
async def get(
self,
feedback_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> dict | None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.get")
async with self._sf() as session:
row = await session.get(FeedbackRow, feedback_id)
if row is None:
return None
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_run(
self,
thread_id: str,
run_id: str,
*,
limit: int = 100,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.list_by_run")
stmt = select(FeedbackRow).where(FeedbackRow.thread_id == thread_id, FeedbackRow.run_id == run_id)
if resolved_owner_id is not None:
stmt = stmt.where(FeedbackRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(FeedbackRow.created_at.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def list_by_thread(
self,
thread_id: str,
*,
limit: int = 100,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.list_by_thread")
stmt = select(FeedbackRow).where(FeedbackRow.thread_id == thread_id)
if resolved_owner_id is not None:
stmt = stmt.where(FeedbackRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(FeedbackRow.created_at.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def delete(
self,
feedback_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> bool:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.delete")
async with self._sf() as session:
row = await session.get(FeedbackRow, feedback_id)
if row is None:
return False
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return False
await session.delete(row)
await session.commit()
return True
async def aggregate_by_run(self, thread_id: str, run_id: str) -> dict:
"""Aggregate feedback stats for a run using database-side counting."""
stmt = select(
func.count().label("total"),
func.coalesce(func.sum(case((FeedbackRow.rating == 1, 1), else_=0)), 0).label("positive"),
func.coalesce(func.sum(case((FeedbackRow.rating == -1, 1), else_=0)), 0).label("negative"),
).where(FeedbackRow.thread_id == thread_id, FeedbackRow.run_id == run_id)
async with self._sf() as session:
row = (await session.execute(stmt)).one()
return {
"run_id": run_id,
"total": row.total,
"positive": row.positive,
"negative": row.negative,
}
@@ -1,38 +0,0 @@
[alembic]
script_location = %(here)s
# Default URL for offline mode / autogenerate.
# Runtime uses engine from DeerFlow config.
sqlalchemy.url = sqlite+aiosqlite:///./data/app.db
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
@@ -1,65 +0,0 @@
"""Alembic environment for DeerFlow application tables.
ONLY manages DeerFlow's tables (runs, threads_meta, cron_jobs, users).
LangGraph's checkpointer tables are managed by LangGraph itself -- they
have their own schema lifecycle and must not be touched by Alembic.
"""
from __future__ import annotations
import asyncio
import logging
from logging.config import fileConfig
from alembic import context
from sqlalchemy.ext.asyncio import create_async_engine
from deerflow.persistence.base import Base
# Import all models so metadata is populated.
try:
import deerflow.persistence.models # noqa: F401 — register ORM models with Base.metadata
except ImportError:
# Models not available — migration will work with existing metadata only.
logging.getLogger(__name__).warning("Could not import deerflow.persistence.models; Alembic may not detect all tables")
config = context.config
if config.config_file_name is not None:
fileConfig(config.config_file_name)
target_metadata = Base.metadata
def run_migrations_offline() -> None:
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
render_as_batch=True,
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection):
context.configure(
connection=connection,
target_metadata=target_metadata,
render_as_batch=True, # Required for SQLite ALTER TABLE support
)
with context.begin_transaction():
context.run_migrations()
async def run_migrations_online() -> None:
connectable = create_async_engine(config.get_main_option("sqlalchemy.url"))
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
asyncio.run(run_migrations_online())
@@ -1,23 +0,0 @@
"""ORM model registration entry point.
Importing this module ensures all ORM models are registered with
``Base.metadata`` so Alembic autogenerate detects every table.
The actual ORM classes have moved to entity-specific subpackages:
- ``deerflow.persistence.thread_meta``
- ``deerflow.persistence.run``
- ``deerflow.persistence.feedback``
- ``deerflow.persistence.user``
``RunEventRow`` remains in ``deerflow.persistence.models.run_event`` because
its storage implementation lives in ``deerflow.runtime.events.store.db`` and
there is no matching entity directory.
"""
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.persistence.models.run_event import RunEventRow
from deerflow.persistence.run.model import RunRow
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.persistence.user.model import UserRow
__all__ = ["FeedbackRow", "RunEventRow", "RunRow", "ThreadMetaRow", "UserRow"]
@@ -1,35 +0,0 @@
"""ORM model for run events."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, Index, String, Text, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class RunEventRow(Base):
__tablename__ = "run_events"
id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False)
run_id: Mapped[str] = mapped_column(String(64), nullable=False)
# Owner of the conversation this event belongs to. Nullable for data
# created before auth was introduced; populated by auth middleware on
# new writes and by the boot-time orphan migration on existing rows.
owner_id: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)
event_type: Mapped[str] = mapped_column(String(32), nullable=False)
category: Mapped[str] = mapped_column(String(16), nullable=False)
# "message" | "trace" | "lifecycle"
content: Mapped[str] = mapped_column(Text, default="")
event_metadata: Mapped[dict] = mapped_column(JSON, default=dict)
seq: Mapped[int] = mapped_column(nullable=False)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
__table_args__ = (
UniqueConstraint("thread_id", "seq", name="uq_events_thread_seq"),
Index("ix_events_thread_cat_seq", "thread_id", "category", "seq"),
Index("ix_events_run", "thread_id", "run_id", "seq"),
)
@@ -1,6 +0,0 @@
"""Run metadata persistence — ORM and SQL repository."""
from deerflow.persistence.run.model import RunRow
from deerflow.persistence.run.sql import RunRepository
__all__ = ["RunRepository", "RunRow"]
@@ -1,49 +0,0 @@
"""ORM model for run metadata."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, Index, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class RunRow(Base):
__tablename__ = "runs"
run_id: Mapped[str] = mapped_column(String(64), primary_key=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
assistant_id: Mapped[str | None] = mapped_column(String(128))
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
status: Mapped[str] = mapped_column(String(20), default="pending")
# "pending" | "running" | "success" | "error" | "timeout" | "interrupted"
model_name: Mapped[str | None] = mapped_column(String(128))
multitask_strategy: Mapped[str] = mapped_column(String(20), default="reject")
metadata_json: Mapped[dict] = mapped_column(JSON, default=dict)
kwargs_json: Mapped[dict] = mapped_column(JSON, default=dict)
error: Mapped[str | None] = mapped_column(Text)
# Convenience fields (for listing pages without querying RunEventStore)
message_count: Mapped[int] = mapped_column(default=0)
first_human_message: Mapped[str | None] = mapped_column(Text)
last_ai_message: Mapped[str | None] = mapped_column(Text)
# Token usage (accumulated in-memory by RunJournal, written on run completion)
total_input_tokens: Mapped[int] = mapped_column(default=0)
total_output_tokens: Mapped[int] = mapped_column(default=0)
total_tokens: Mapped[int] = mapped_column(default=0)
llm_call_count: Mapped[int] = mapped_column(default=0)
lead_agent_tokens: Mapped[int] = mapped_column(default=0)
subagent_tokens: Mapped[int] = mapped_column(default=0)
middleware_tokens: Mapped[int] = mapped_column(default=0)
# Follow-up association
follow_up_to_run_id: Mapped[str | None] = mapped_column(String(64))
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
__table_args__ = (Index("ix_runs_thread_status", "thread_id", "status"),)
@@ -1,255 +0,0 @@
"""SQLAlchemy-backed RunStore implementation.
Each method acquires and releases its own short-lived session.
Run status updates happen from background workers that may live
minutes -- we don't hold connections across long execution.
"""
from __future__ import annotations
import json
from datetime import UTC, datetime
from typing import Any
from sqlalchemy import func, select, update
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.run.model import RunRow
from deerflow.runtime.runs.store.base import RunStore
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class RunRepository(RunStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _safe_json(obj: Any) -> Any:
"""Ensure obj is JSON-serializable. Falls back to model_dump() or str()."""
if obj is None:
return None
if isinstance(obj, (str, int, float, bool)):
return obj
if isinstance(obj, dict):
return {k: RunRepository._safe_json(v) for k, v in obj.items()}
if isinstance(obj, (list, tuple)):
return [RunRepository._safe_json(v) for v in obj]
if hasattr(obj, "model_dump"):
try:
return obj.model_dump()
except Exception:
pass
if hasattr(obj, "dict"):
try:
return obj.dict()
except Exception:
pass
try:
json.dumps(obj)
return obj
except (TypeError, ValueError):
return str(obj)
@staticmethod
def _row_to_dict(row: RunRow) -> dict[str, Any]:
d = row.to_dict()
# Remap JSON columns to match RunStore interface
d["metadata"] = d.pop("metadata_json", {})
d["kwargs"] = d.pop("kwargs_json", {})
# Convert datetime to ISO string for consistency with MemoryRunStore
for key in ("created_at", "updated_at"):
val = d.get(key)
if isinstance(val, datetime):
d[key] = val.isoformat()
return d
async def put(
self,
run_id,
*,
thread_id,
assistant_id=None,
owner_id: str | None | _AutoSentinel = AUTO,
status="pending",
multitask_strategy="reject",
metadata=None,
kwargs=None,
error=None,
created_at=None,
follow_up_to_run_id=None,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.put")
now = datetime.now(UTC)
row = RunRow(
run_id=run_id,
thread_id=thread_id,
assistant_id=assistant_id,
owner_id=resolved_owner_id,
status=status,
multitask_strategy=multitask_strategy,
metadata_json=self._safe_json(metadata) or {},
kwargs_json=self._safe_json(kwargs) or {},
error=error,
follow_up_to_run_id=follow_up_to_run_id,
created_at=datetime.fromisoformat(created_at) if created_at else now,
updated_at=now,
)
async with self._sf() as session:
session.add(row)
await session.commit()
async def get(
self,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.get")
async with self._sf() as session:
row = await session.get(RunRow, run_id)
if row is None:
return None
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_thread(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
limit=100,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.list_by_thread")
stmt = select(RunRow).where(RunRow.thread_id == thread_id)
if resolved_owner_id is not None:
stmt = stmt.where(RunRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(RunRow.created_at.desc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def update_status(self, run_id, status, *, error=None):
values: dict[str, Any] = {"status": status, "updated_at": datetime.now(UTC)}
if error is not None:
values["error"] = error
async with self._sf() as session:
await session.execute(update(RunRow).where(RunRow.run_id == run_id).values(**values))
await session.commit()
async def delete(
self,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.delete")
async with self._sf() as session:
row = await session.get(RunRow, run_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
await session.delete(row)
await session.commit()
async def list_pending(self, *, before=None):
if before is None:
before_dt = datetime.now(UTC)
elif isinstance(before, datetime):
before_dt = before
else:
before_dt = datetime.fromisoformat(before)
stmt = select(RunRow).where(RunRow.status == "pending", RunRow.created_at <= before_dt).order_by(RunRow.created_at.asc())
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def update_run_completion(
self,
run_id: str,
*,
status: str,
total_input_tokens: int = 0,
total_output_tokens: int = 0,
total_tokens: int = 0,
llm_call_count: int = 0,
lead_agent_tokens: int = 0,
subagent_tokens: int = 0,
middleware_tokens: int = 0,
message_count: int = 0,
last_ai_message: str | None = None,
first_human_message: str | None = None,
error: str | None = None,
) -> None:
"""Update status + token usage + convenience fields on run completion."""
values: dict[str, Any] = {
"status": status,
"total_input_tokens": total_input_tokens,
"total_output_tokens": total_output_tokens,
"total_tokens": total_tokens,
"llm_call_count": llm_call_count,
"lead_agent_tokens": lead_agent_tokens,
"subagent_tokens": subagent_tokens,
"middleware_tokens": middleware_tokens,
"message_count": message_count,
"updated_at": datetime.now(UTC),
}
if last_ai_message is not None:
values["last_ai_message"] = last_ai_message[:2000]
if first_human_message is not None:
values["first_human_message"] = first_human_message[:2000]
if error is not None:
values["error"] = error
async with self._sf() as session:
await session.execute(update(RunRow).where(RunRow.run_id == run_id).values(**values))
await session.commit()
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
"""Aggregate token usage via a single SQL GROUP BY query."""
_completed = RunRow.status.in_(("success", "error"))
_thread = RunRow.thread_id == thread_id
stmt = (
select(
func.coalesce(RunRow.model_name, "unknown").label("model"),
func.count().label("runs"),
func.coalesce(func.sum(RunRow.total_tokens), 0).label("total_tokens"),
func.coalesce(func.sum(RunRow.total_input_tokens), 0).label("total_input_tokens"),
func.coalesce(func.sum(RunRow.total_output_tokens), 0).label("total_output_tokens"),
func.coalesce(func.sum(RunRow.lead_agent_tokens), 0).label("lead_agent"),
func.coalesce(func.sum(RunRow.subagent_tokens), 0).label("subagent"),
func.coalesce(func.sum(RunRow.middleware_tokens), 0).label("middleware"),
)
.where(_thread, _completed)
.group_by(func.coalesce(RunRow.model_name, "unknown"))
)
async with self._sf() as session:
rows = (await session.execute(stmt)).all()
total_tokens = total_input = total_output = total_runs = 0
lead_agent = subagent = middleware = 0
by_model: dict[str, dict] = {}
for r in rows:
by_model[r.model] = {"tokens": r.total_tokens, "runs": r.runs}
total_tokens += r.total_tokens
total_input += r.total_input_tokens
total_output += r.total_output_tokens
total_runs += r.runs
lead_agent += r.lead_agent
subagent += r.subagent
middleware += r.middleware
return {
"total_tokens": total_tokens,
"total_input_tokens": total_input,
"total_output_tokens": total_output,
"total_runs": total_runs,
"by_model": by_model,
"by_caller": {
"lead_agent": lead_agent,
"subagent": subagent,
"middleware": middleware,
},
}
@@ -1,13 +0,0 @@
"""Thread metadata persistence — ORM, abstract store, and concrete implementations."""
from deerflow.persistence.thread_meta.base import ThreadMetaStore
from deerflow.persistence.thread_meta.memory import MemoryThreadMetaStore
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.persistence.thread_meta.sql import ThreadMetaRepository
__all__ = [
"MemoryThreadMetaStore",
"ThreadMetaRepository",
"ThreadMetaRow",
"ThreadMetaStore",
]
@@ -1,60 +0,0 @@
"""Abstract interface for thread metadata storage.
Implementations:
- ThreadMetaRepository: SQL-backed (sqlite / postgres via SQLAlchemy)
- MemoryThreadMetaStore: wraps LangGraph BaseStore (memory mode)
"""
from __future__ import annotations
import abc
class ThreadMetaStore(abc.ABC):
@abc.abstractmethod
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None = None,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
pass
@abc.abstractmethod
async def get(self, thread_id: str) -> dict | None:
pass
@abc.abstractmethod
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
) -> list[dict]:
pass
@abc.abstractmethod
async def update_display_name(self, thread_id: str, display_name: str) -> None:
pass
@abc.abstractmethod
async def update_status(self, thread_id: str, status: str) -> None:
pass
@abc.abstractmethod
async def update_metadata(self, thread_id: str, metadata: dict) -> None:
"""Merge ``metadata`` into the thread's metadata field.
Existing keys are overwritten by the new values; keys absent from
``metadata`` are preserved. No-op if the thread does not exist.
"""
pass
@abc.abstractmethod
async def delete(self, thread_id: str) -> None:
pass
@@ -1,120 +0,0 @@
"""In-memory ThreadMetaStore backed by LangGraph BaseStore.
Used when database.backend=memory. Delegates to the LangGraph Store's
``("threads",)`` namespace — the same namespace used by the Gateway
router for thread records.
"""
from __future__ import annotations
import time
from typing import Any
from langgraph.store.base import BaseStore
from deerflow.persistence.thread_meta.base import ThreadMetaStore
THREADS_NS: tuple[str, ...] = ("threads",)
class MemoryThreadMetaStore(ThreadMetaStore):
def __init__(self, store: BaseStore) -> None:
self._store = store
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None = None,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
now = time.time()
record: dict[str, Any] = {
"thread_id": thread_id,
"assistant_id": assistant_id,
"owner_id": owner_id,
"display_name": display_name,
"status": "idle",
"metadata": metadata or {},
"values": {},
"created_at": now,
"updated_at": now,
}
await self._store.aput(THREADS_NS, thread_id, record)
return record
async def get(self, thread_id: str) -> dict | None:
item = await self._store.aget(THREADS_NS, thread_id)
return item.value if item is not None else None
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
) -> list[dict]:
filter_dict: dict[str, Any] = {}
if metadata:
filter_dict.update(metadata)
if status:
filter_dict["status"] = status
items = await self._store.asearch(
THREADS_NS,
filter=filter_dict or None,
limit=limit,
offset=offset,
)
return [self._item_to_dict(item) for item in items]
async def update_display_name(self, thread_id: str, display_name: str) -> None:
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
record["display_name"] = display_name
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_status(self, thread_id: str, status: str) -> None:
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
record["status"] = status
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_metadata(self, thread_id: str, metadata: dict) -> None:
"""Merge ``metadata`` into the in-memory record. No-op if absent."""
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
merged = dict(record.get("metadata") or {})
merged.update(metadata)
record["metadata"] = merged
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def delete(self, thread_id: str) -> None:
await self._store.adelete(THREADS_NS, thread_id)
@staticmethod
def _item_to_dict(item) -> dict[str, Any]:
"""Convert a Store SearchItem to the dict format expected by callers."""
val = item.value
return {
"thread_id": item.key,
"assistant_id": val.get("assistant_id"),
"owner_id": val.get("owner_id"),
"display_name": val.get("display_name"),
"status": val.get("status", "idle"),
"metadata": val.get("metadata", {}),
"created_at": str(val.get("created_at", "")),
"updated_at": str(val.get("updated_at", "")),
}
@@ -1,23 +0,0 @@
"""ORM model for thread metadata."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, String
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class ThreadMetaRow(Base):
__tablename__ = "threads_meta"
thread_id: Mapped[str] = mapped_column(String(64), primary_key=True)
assistant_id: Mapped[str | None] = mapped_column(String(128), index=True)
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
display_name: Mapped[str | None] = mapped_column(String(256))
status: Mapped[str] = mapped_column(String(20), default="idle")
metadata_json: Mapped[dict] = mapped_column(JSON, default=dict)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
@@ -1,223 +0,0 @@
"""SQLAlchemy-backed thread metadata repository."""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from sqlalchemy import select, update
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.thread_meta.base import ThreadMetaStore
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class ThreadMetaRepository(ThreadMetaStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _row_to_dict(row: ThreadMetaRow) -> dict[str, Any]:
d = row.to_dict()
d["metadata"] = d.pop("metadata_json", {})
for key in ("created_at", "updated_at"):
val = d.get(key)
if isinstance(val, datetime):
d[key] = val.isoformat()
return d
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None | _AutoSentinel = AUTO,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
# Auto-resolve owner_id from contextvar when AUTO; explicit None
# creates an orphan row (used by migration scripts).
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.create")
now = datetime.now(UTC)
row = ThreadMetaRow(
thread_id=thread_id,
assistant_id=assistant_id,
owner_id=resolved_owner_id,
display_name=display_name,
metadata_json=metadata or {},
created_at=now,
updated_at=now,
)
async with self._sf() as session:
session.add(row)
await session.commit()
await session.refresh(row)
return self._row_to_dict(row)
async def get(
self,
thread_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> dict | None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.get")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return None
# Enforce owner filter unless explicitly bypassed (owner_id=None).
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_owner(self, owner_id: str, *, limit: int = 100, offset: int = 0) -> list[dict]:
stmt = select(ThreadMetaRow).where(ThreadMetaRow.owner_id == owner_id).order_by(ThreadMetaRow.updated_at.desc()).limit(limit).offset(offset)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def check_access(self, thread_id: str, owner_id: str, *, require_existing: bool = False) -> bool:
"""Check if ``owner_id`` has access to ``thread_id``.
Two modes — one row, two distinct semantics depending on what
the caller is about to do:
- ``require_existing=False`` (default, permissive):
Returns True for: row missing (untracked legacy thread),
``row.owner_id`` is None (shared / pre-auth data),
or ``row.owner_id == owner_id``. Use for **read-style**
decorators where treating an untracked thread as accessible
preserves backward-compat.
- ``require_existing=True`` (strict):
Returns True **only** when the row exists AND
(``row.owner_id == owner_id`` OR ``row.owner_id is None``).
Use for **destructive / mutating** decorators (DELETE, PATCH,
state-update) so a thread that has *already been deleted*
cannot be re-targeted by any caller — closing the
delete-idempotence cross-user gap where the row vanishing
made every other user appear to "own" it.
"""
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return not require_existing
if row.owner_id is None:
return True
return row.owner_id == owner_id
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
"""Search threads with optional metadata and status filters.
Owner filter is enforced by default: caller must be in a user
context. Pass ``owner_id=None`` to bypass (migration/CLI).
"""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.search")
stmt = select(ThreadMetaRow).order_by(ThreadMetaRow.updated_at.desc())
if resolved_owner_id is not None:
stmt = stmt.where(ThreadMetaRow.owner_id == resolved_owner_id)
if status:
stmt = stmt.where(ThreadMetaRow.status == status)
if metadata:
# When metadata filter is active, fetch a larger window and filter
# in Python. TODO(Phase 2): use JSON DB operators (Postgres @>,
# SQLite json_extract) for server-side filtering.
stmt = stmt.limit(limit * 5 + offset)
async with self._sf() as session:
result = await session.execute(stmt)
rows = [self._row_to_dict(r) for r in result.scalars()]
rows = [r for r in rows if all(r.get("metadata", {}).get(k) == v for k, v in metadata.items())]
return rows[offset : offset + limit]
else:
stmt = stmt.limit(limit).offset(offset)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def _check_ownership(self, session: AsyncSession, thread_id: str, resolved_owner_id: str | None) -> bool:
"""Return True if the row exists and is owned (or filter bypassed)."""
if resolved_owner_id is None:
return True # explicit bypass
row = await session.get(ThreadMetaRow, thread_id)
return row is not None and row.owner_id == resolved_owner_id
async def update_display_name(
self,
thread_id: str,
display_name: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
"""Update the display_name (title) for a thread."""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_display_name")
async with self._sf() as session:
if not await self._check_ownership(session, thread_id, resolved_owner_id):
return
await session.execute(update(ThreadMetaRow).where(ThreadMetaRow.thread_id == thread_id).values(display_name=display_name, updated_at=datetime.now(UTC)))
await session.commit()
async def update_status(
self,
thread_id: str,
status: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_status")
async with self._sf() as session:
if not await self._check_ownership(session, thread_id, resolved_owner_id):
return
await session.execute(update(ThreadMetaRow).where(ThreadMetaRow.thread_id == thread_id).values(status=status, updated_at=datetime.now(UTC)))
await session.commit()
async def update_metadata(
self,
thread_id: str,
metadata: dict,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
"""Merge ``metadata`` into ``metadata_json``.
Read-modify-write inside a single session/transaction so concurrent
callers see consistent state. No-op if the row does not exist or
the owner_id check fails.
"""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_metadata")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
merged = dict(row.metadata_json or {})
merged.update(metadata)
row.metadata_json = merged
row.updated_at = datetime.now(UTC)
await session.commit()
async def delete(
self,
thread_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.delete")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
await session.delete(row)
await session.commit()
@@ -1,12 +0,0 @@
"""User storage subpackage.
Holds the ORM model for the ``users`` table. The concrete repository
implementation (``SQLiteUserRepository``) lives in the app layer
(``app.gateway.auth.repositories.sqlite``) because it converts
between the ORM row and the auth module's pydantic ``User`` class.
This keeps the harness package free of any dependency on app code.
"""
from deerflow.persistence.user.model import UserRow
__all__ = ["UserRow"]
@@ -1,59 +0,0 @@
"""ORM model for the users table.
Lives in the harness persistence package so it is picked up by
``Base.metadata.create_all()`` alongside ``threads_meta``, ``runs``,
``run_events``, and ``feedback``. Using the shared engine means:
- One SQLite/Postgres database, one connection pool
- One schema initialisation codepath
- Consistent async sessions across auth and persistence reads
"""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import Boolean, DateTime, Index, String, text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class UserRow(Base):
__tablename__ = "users"
# UUIDs are stored as 36-char strings for cross-backend portability.
id: Mapped[str] = mapped_column(String(36), primary_key=True)
email: Mapped[str] = mapped_column(String(320), unique=True, nullable=False, index=True)
password_hash: Mapped[str | None] = mapped_column(String(128), nullable=True)
# "admin" | "user" — kept as plain string to avoid ALTER TABLE pain
# when new roles are introduced.
system_role: Mapped[str] = mapped_column(String(16), nullable=False, default="user")
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
nullable=False,
default=lambda: datetime.now(UTC),
)
# OAuth linkage (optional). A partial unique index enforces one
# account per (provider, oauth_id) pair, leaving NULL/NULL rows
# unconstrained so plain password accounts can coexist.
oauth_provider: Mapped[str | None] = mapped_column(String(32), nullable=True)
oauth_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
# Auth lifecycle flags
needs_setup: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
token_version: Mapped[int] = mapped_column(nullable=False, default=0)
__table_args__ = (
Index(
"idx_users_oauth_identity",
"oauth_provider",
"oauth_id",
unique=True,
sqlite_where=text("oauth_provider IS NOT NULL AND oauth_id IS NOT NULL"),
),
)
@@ -5,7 +5,7 @@ Re-exports the public API of :mod:`~deerflow.runtime.runs` and
directly from ``deerflow.runtime``.
"""
from .runs import ConflictError, DisconnectMode, RunContext, RunManager, RunRecord, RunStatus, UnsupportedStrategyError, run_agent
from .runs import ConflictError, DisconnectMode, RunManager, RunRecord, RunStatus, UnsupportedStrategyError, run_agent
from .serialization import serialize, serialize_channel_values, serialize_lc_object, serialize_messages_tuple
from .store import get_store, make_store, reset_store, store_context
from .stream_bridge import END_SENTINEL, HEARTBEAT_SENTINEL, MemoryStreamBridge, StreamBridge, StreamEvent, make_stream_bridge
@@ -14,7 +14,6 @@ __all__ = [
# runs
"ConflictError",
"DisconnectMode",
"RunContext",
"RunManager",
"RunRecord",
"RunStatus",
@@ -1,134 +0,0 @@
"""Pure functions to convert LangChain message objects to OpenAI Chat Completions format.
Used by RunJournal to build content dicts for event storage.
"""
from __future__ import annotations
import json
from typing import Any
_ROLE_MAP = {
"human": "user",
"ai": "assistant",
"system": "system",
"tool": "tool",
}
def langchain_to_openai_message(message: Any) -> dict:
"""Convert a single LangChain BaseMessage to an OpenAI message dict.
Handles:
- HumanMessage → {"role": "user", "content": "..."}
- AIMessage (text only) → {"role": "assistant", "content": "..."}
- AIMessage (with tool_calls) → {"role": "assistant", "content": null, "tool_calls": [...]}
- AIMessage (text + tool_calls) → both content and tool_calls present
- AIMessage (list content / multimodal) → content preserved as list
- SystemMessage → {"role": "system", "content": "..."}
- ToolMessage → {"role": "tool", "tool_call_id": "...", "content": "..."}
"""
msg_type = getattr(message, "type", "")
role = _ROLE_MAP.get(msg_type, msg_type)
content = getattr(message, "content", "")
if role == "tool":
return {
"role": "tool",
"tool_call_id": getattr(message, "tool_call_id", ""),
"content": content,
}
if role == "assistant":
tool_calls = getattr(message, "tool_calls", None) or []
result: dict = {"role": "assistant"}
if tool_calls:
openai_tool_calls = []
for tc in tool_calls:
args = tc.get("args", {})
openai_tool_calls.append(
{
"id": tc.get("id", ""),
"type": "function",
"function": {
"name": tc.get("name", ""),
"arguments": json.dumps(args) if not isinstance(args, str) else args,
},
}
)
# If no text content, set content to null per OpenAI spec
result["content"] = content if (isinstance(content, list) and content) or (isinstance(content, str) and content) else None
result["tool_calls"] = openai_tool_calls
else:
result["content"] = content
return result
# user / system / unknown
return {"role": role, "content": content}
def _infer_finish_reason(message: Any) -> str:
"""Infer OpenAI finish_reason from an AIMessage.
Returns "tool_calls" if tool_calls present, else looks in
response_metadata.finish_reason, else returns "stop".
"""
tool_calls = getattr(message, "tool_calls", None) or []
if tool_calls:
return "tool_calls"
resp_meta = getattr(message, "response_metadata", None) or {}
if isinstance(resp_meta, dict):
finish = resp_meta.get("finish_reason")
if finish:
return finish
return "stop"
def langchain_to_openai_completion(message: Any) -> dict:
"""Convert an AIMessage and its metadata to an OpenAI completion response dict.
Returns:
{
"id": message.id,
"model": message.response_metadata.get("model_name"),
"choices": [{"index": 0, "message": <openai_message>, "finish_reason": <inferred>}],
"usage": {"prompt_tokens": ..., "completion_tokens": ..., "total_tokens": ...} or None,
}
"""
resp_meta = getattr(message, "response_metadata", None) or {}
model_name = resp_meta.get("model_name") if isinstance(resp_meta, dict) else None
openai_msg = langchain_to_openai_message(message)
finish_reason = _infer_finish_reason(message)
usage_metadata = getattr(message, "usage_metadata", None)
if usage_metadata is not None:
input_tokens = usage_metadata.get("input_tokens", 0) or 0
output_tokens = usage_metadata.get("output_tokens", 0) or 0
usage: dict | None = {
"prompt_tokens": input_tokens,
"completion_tokens": output_tokens,
"total_tokens": input_tokens + output_tokens,
}
else:
usage = None
return {
"id": getattr(message, "id", None),
"model": model_name,
"choices": [
{
"index": 0,
"message": openai_msg,
"finish_reason": finish_reason,
}
],
"usage": usage,
}
def langchain_messages_to_openai(messages: list) -> list[dict]:
"""Convert a list of LangChain BaseMessages to OpenAI message dicts."""
return [langchain_to_openai_message(m) for m in messages]
@@ -1,4 +0,0 @@
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.events.store.memory import MemoryRunEventStore
__all__ = ["MemoryRunEventStore", "RunEventStore"]
@@ -1,26 +0,0 @@
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.events.store.memory import MemoryRunEventStore
def make_run_event_store(config=None) -> RunEventStore:
"""Create a RunEventStore based on run_events.backend configuration."""
if config is None or config.backend == "memory":
return MemoryRunEventStore()
if config.backend == "db":
from deerflow.persistence.engine import get_session_factory
sf = get_session_factory()
if sf is None:
# database.backend=memory but run_events.backend=db -> fallback
return MemoryRunEventStore()
from deerflow.runtime.events.store.db import DbRunEventStore
return DbRunEventStore(sf, max_trace_content=config.max_trace_content)
if config.backend == "jsonl":
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
return JsonlRunEventStore()
raise ValueError(f"Unknown run_events backend: {config.backend!r}")
__all__ = ["MemoryRunEventStore", "RunEventStore", "make_run_event_store"]
@@ -1,99 +0,0 @@
"""Abstract interface for run event storage.
RunEventStore is the unified storage interface for run event streams.
Messages (frontend display) and execution traces (debugging/audit) go
through the same interface, distinguished by the ``category`` field.
Implementations:
- MemoryRunEventStore: in-memory dict (development, tests)
- Future: DB-backed store (SQLAlchemy ORM), JSONL file store
"""
from __future__ import annotations
import abc
class RunEventStore(abc.ABC):
"""Run event stream storage interface.
All implementations must guarantee:
1. put() events are retrievable in subsequent queries
2. seq is strictly increasing within the same thread
3. list_messages() only returns category="message" events
4. list_events() returns all events for the specified run
5. Returned dicts match the RunEvent field structure
"""
@abc.abstractmethod
async def put(
self,
*,
thread_id: str,
run_id: str,
event_type: str,
category: str,
content: str | dict = "",
metadata: dict | None = None,
created_at: str | None = None,
) -> dict:
"""Write an event, auto-assign seq, return the complete record."""
@abc.abstractmethod
async def put_batch(self, events: list[dict]) -> list[dict]:
"""Batch-write events. Used by RunJournal flush buffer.
Each dict's keys match put()'s keyword arguments.
Returns complete records with seq assigned.
"""
@abc.abstractmethod
async def list_messages(
self,
thread_id: str,
*,
limit: int = 50,
before_seq: int | None = None,
after_seq: int | None = None,
) -> list[dict]:
"""Return displayable messages (category=message) for a thread, ordered by seq ascending.
Supports bidirectional cursor pagination:
- before_seq: return the last ``limit`` records with seq < before_seq (ascending)
- after_seq: return the first ``limit`` records with seq > after_seq (ascending)
- neither: return the latest ``limit`` records (ascending)
"""
@abc.abstractmethod
async def list_events(
self,
thread_id: str,
run_id: str,
*,
event_types: list[str] | None = None,
limit: int = 500,
) -> list[dict]:
"""Return the full event stream for a run, ordered by seq ascending.
Optionally filter by event_types.
"""
@abc.abstractmethod
async def list_messages_by_run(
self,
thread_id: str,
run_id: str,
) -> list[dict]:
"""Return displayable messages (category=message) for a specific run, ordered by seq ascending."""
@abc.abstractmethod
async def count_messages(self, thread_id: str) -> int:
"""Count displayable messages (category=message) in a thread."""
@abc.abstractmethod
async def delete_by_thread(self, thread_id: str) -> int:
"""Delete all events for a thread. Return the number of deleted events."""
@abc.abstractmethod
async def delete_by_run(self, thread_id: str, run_id: str) -> int:
"""Delete all events for a specific run. Return the number of deleted events."""
@@ -1,261 +0,0 @@
"""SQLAlchemy-backed RunEventStore implementation.
Persists events to the ``run_events`` table. Trace content is truncated
at ``max_trace_content`` bytes to avoid bloating the database.
"""
from __future__ import annotations
import json
import logging
from datetime import UTC, datetime
from sqlalchemy import delete, func, select
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.models.run_event import RunEventRow
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.user_context import AUTO, _AutoSentinel, get_current_user, resolve_owner_id
logger = logging.getLogger(__name__)
class DbRunEventStore(RunEventStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession], *, max_trace_content: int = 10240):
self._sf = session_factory
self._max_trace_content = max_trace_content
@staticmethod
def _row_to_dict(row: RunEventRow) -> dict:
d = row.to_dict()
d["metadata"] = d.pop("event_metadata", {})
val = d.get("created_at")
if isinstance(val, datetime):
d["created_at"] = val.isoformat()
d.pop("id", None)
# Restore dict content that was JSON-serialized on write
raw = d.get("content", "")
if isinstance(raw, str) and d.get("metadata", {}).get("content_is_dict"):
try:
d["content"] = json.loads(raw)
except (json.JSONDecodeError, ValueError):
# Content looked like JSON (content_is_dict flag) but failed to parse;
# keep the raw string as-is.
logger.debug("Failed to deserialize content as JSON for event seq=%s", d.get("seq"))
return d
def _truncate_trace(self, category: str, content: str | dict, metadata: dict | None) -> tuple[str | dict, dict]:
if category == "trace":
text = json.dumps(content, default=str, ensure_ascii=False) if isinstance(content, dict) else content
encoded = text.encode("utf-8")
if len(encoded) > self._max_trace_content:
# Truncate by bytes, then decode back (may cut a multi-byte char, so use errors="ignore")
content = encoded[: self._max_trace_content].decode("utf-8", errors="ignore")
metadata = {**(metadata or {}), "content_truncated": True, "original_byte_length": len(encoded)}
return content, metadata or {}
@staticmethod
def _owner_from_context() -> str | None:
"""Soft read of owner_id from contextvar for write paths.
Returns ``None`` (no filter / no stamp) if contextvar is unset,
which is the expected case for background worker writes. HTTP
request writes will have the contextvar set by auth middleware
and get their user_id stamped automatically.
"""
user = get_current_user()
return user.id if user is not None else None
async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None): # noqa: D401
"""Write a single event — low-frequency path only.
This opens a dedicated transaction with a FOR UPDATE lock to
assign a monotonic *seq*. For high-throughput writes use
:meth:`put_batch`, which acquires the lock once for the whole
batch. Currently the only caller is ``worker.run_agent`` for
the initial ``human_message`` event (once per run).
"""
content, metadata = self._truncate_trace(category, content, metadata)
if isinstance(content, dict):
db_content = json.dumps(content, default=str, ensure_ascii=False)
metadata = {**(metadata or {}), "content_is_dict": True}
else:
db_content = content
owner_id = self._owner_from_context()
async with self._sf() as session:
async with session.begin():
# Use FOR UPDATE to serialize seq assignment within a thread.
# NOTE: with_for_update() on aggregates is a no-op on SQLite;
# the UNIQUE(thread_id, seq) constraint catches races there.
max_seq = await session.scalar(select(func.max(RunEventRow.seq)).where(RunEventRow.thread_id == thread_id).with_for_update())
seq = (max_seq or 0) + 1
row = RunEventRow(
thread_id=thread_id,
run_id=run_id,
owner_id=owner_id,
event_type=event_type,
category=category,
content=db_content,
event_metadata=metadata,
seq=seq,
created_at=datetime.fromisoformat(created_at) if created_at else datetime.now(UTC),
)
session.add(row)
return self._row_to_dict(row)
async def put_batch(self, events):
if not events:
return []
owner_id = self._owner_from_context()
async with self._sf() as session:
async with session.begin():
# Get max seq for the thread (assume all events in batch belong to same thread).
# NOTE: with_for_update() on aggregates is a no-op on SQLite;
# the UNIQUE(thread_id, seq) constraint catches races there.
thread_id = events[0]["thread_id"]
max_seq = await session.scalar(select(func.max(RunEventRow.seq)).where(RunEventRow.thread_id == thread_id).with_for_update())
seq = max_seq or 0
rows = []
for e in events:
seq += 1
content = e.get("content", "")
category = e.get("category", "trace")
metadata = e.get("metadata")
content, metadata = self._truncate_trace(category, content, metadata)
if isinstance(content, dict):
db_content = json.dumps(content, default=str, ensure_ascii=False)
metadata = {**(metadata or {}), "content_is_dict": True}
else:
db_content = content
row = RunEventRow(
thread_id=e["thread_id"],
run_id=e["run_id"],
owner_id=e.get("owner_id", owner_id),
event_type=e["event_type"],
category=category,
content=db_content,
event_metadata=metadata,
seq=seq,
created_at=datetime.fromisoformat(e["created_at"]) if e.get("created_at") else datetime.now(UTC),
)
session.add(row)
rows.append(row)
return [self._row_to_dict(r) for r in rows]
async def list_messages(
self,
thread_id,
*,
limit=50,
before_seq=None,
after_seq=None,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_messages")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
if before_seq is not None:
stmt = stmt.where(RunEventRow.seq < before_seq)
if after_seq is not None:
stmt = stmt.where(RunEventRow.seq > after_seq)
if after_seq is not None:
# Forward pagination: first `limit` records after cursor
stmt = stmt.order_by(RunEventRow.seq.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
else:
# before_seq or default (latest): take last `limit` records, return ascending
stmt = stmt.order_by(RunEventRow.seq.desc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
rows = list(result.scalars())
return [self._row_to_dict(r) for r in reversed(rows)]
async def list_events(
self,
thread_id,
run_id,
*,
event_types=None,
limit=500,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_events")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id)
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
if event_types:
stmt = stmt.where(RunEventRow.event_type.in_(event_types))
stmt = stmt.order_by(RunEventRow.seq.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def list_messages_by_run(
self,
thread_id,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_messages_by_run")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(RunEventRow.seq.asc())
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def count_messages(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.count_messages")
stmt = select(func.count()).select_from(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
async with self._sf() as session:
return await session.scalar(stmt) or 0
async def delete_by_thread(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.delete_by_thread")
async with self._sf() as session:
count_conditions = [RunEventRow.thread_id == thread_id]
if resolved_owner_id is not None:
count_conditions.append(RunEventRow.owner_id == resolved_owner_id)
count_stmt = select(func.count()).select_from(RunEventRow).where(*count_conditions)
count = await session.scalar(count_stmt) or 0
if count > 0:
await session.execute(delete(RunEventRow).where(*count_conditions))
await session.commit()
return count
async def delete_by_run(
self,
thread_id,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.delete_by_run")
async with self._sf() as session:
count_conditions = [RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id]
if resolved_owner_id is not None:
count_conditions.append(RunEventRow.owner_id == resolved_owner_id)
count_stmt = select(func.count()).select_from(RunEventRow).where(*count_conditions)
count = await session.scalar(count_stmt) or 0
if count > 0:
await session.execute(delete(RunEventRow).where(*count_conditions))
await session.commit()
return count
@@ -1,179 +0,0 @@
"""JSONL file-backed RunEventStore implementation.
Each run's events are stored in a single file:
``.deer-flow/threads/{thread_id}/runs/{run_id}.jsonl``
All categories (message, trace, lifecycle) are in the same file.
This backend is suitable for lightweight single-node deployments.
Known trade-off: ``list_messages()`` must scan all run files for a
thread since messages from multiple runs need unified seq ordering.
``list_events()`` reads only one file -- the fast path.
"""
from __future__ import annotations
import json
import logging
import re
from datetime import UTC, datetime
from pathlib import Path
from deerflow.runtime.events.store.base import RunEventStore
logger = logging.getLogger(__name__)
_SAFE_ID_PATTERN = re.compile(r"^[A-Za-z0-9_\-]+$")
class JsonlRunEventStore(RunEventStore):
def __init__(self, base_dir: str | Path | None = None):
self._base_dir = Path(base_dir) if base_dir else Path(".deer-flow")
self._seq_counters: dict[str, int] = {} # thread_id -> current max seq
@staticmethod
def _validate_id(value: str, label: str) -> str:
"""Validate that an ID is safe for use in filesystem paths."""
if not value or not _SAFE_ID_PATTERN.match(value):
raise ValueError(f"Invalid {label}: must be alphanumeric/dash/underscore, got {value!r}")
return value
def _thread_dir(self, thread_id: str) -> Path:
self._validate_id(thread_id, "thread_id")
return self._base_dir / "threads" / thread_id / "runs"
def _run_file(self, thread_id: str, run_id: str) -> Path:
self._validate_id(run_id, "run_id")
return self._thread_dir(thread_id) / f"{run_id}.jsonl"
def _next_seq(self, thread_id: str) -> int:
self._seq_counters[thread_id] = self._seq_counters.get(thread_id, 0) + 1
return self._seq_counters[thread_id]
def _ensure_seq_loaded(self, thread_id: str) -> None:
"""Load max seq from existing files if not yet cached."""
if thread_id in self._seq_counters:
return
max_seq = 0
thread_dir = self._thread_dir(thread_id)
if thread_dir.exists():
for f in thread_dir.glob("*.jsonl"):
for line in f.read_text(encoding="utf-8").strip().splitlines():
try:
record = json.loads(line)
max_seq = max(max_seq, record.get("seq", 0))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", f)
continue
self._seq_counters[thread_id] = max_seq
def _write_record(self, record: dict) -> None:
path = self._run_file(record["thread_id"], record["run_id"])
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "a", encoding="utf-8") as f:
f.write(json.dumps(record, default=str, ensure_ascii=False) + "\n")
def _read_thread_events(self, thread_id: str) -> list[dict]:
"""Read all events for a thread, sorted by seq."""
events = []
thread_dir = self._thread_dir(thread_id)
if not thread_dir.exists():
return events
for f in sorted(thread_dir.glob("*.jsonl")):
for line in f.read_text(encoding="utf-8").strip().splitlines():
if not line:
continue
try:
events.append(json.loads(line))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", f)
continue
events.sort(key=lambda e: e.get("seq", 0))
return events
def _read_run_events(self, thread_id: str, run_id: str) -> list[dict]:
"""Read events for a specific run file."""
path = self._run_file(thread_id, run_id)
if not path.exists():
return []
events = []
for line in path.read_text(encoding="utf-8").strip().splitlines():
if not line:
continue
try:
events.append(json.loads(line))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", path)
continue
events.sort(key=lambda e: e.get("seq", 0))
return events
async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None):
self._ensure_seq_loaded(thread_id)
seq = self._next_seq(thread_id)
record = {
"thread_id": thread_id,
"run_id": run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"seq": seq,
"created_at": created_at or datetime.now(UTC).isoformat(),
}
self._write_record(record)
return record
async def put_batch(self, events):
if not events:
return []
results = []
for ev in events:
record = await self.put(**ev)
results.append(record)
return results
async def list_messages(self, thread_id, *, limit=50, before_seq=None, after_seq=None):
all_events = self._read_thread_events(thread_id)
messages = [e for e in all_events if e.get("category") == "message"]
if before_seq is not None:
messages = [e for e in messages if e["seq"] < before_seq]
return messages[-limit:]
elif after_seq is not None:
messages = [e for e in messages if e["seq"] > after_seq]
return messages[:limit]
else:
return messages[-limit:]
async def list_events(self, thread_id, run_id, *, event_types=None, limit=500):
events = self._read_run_events(thread_id, run_id)
if event_types is not None:
events = [e for e in events if e.get("event_type") in event_types]
return events[:limit]
async def list_messages_by_run(self, thread_id, run_id):
events = self._read_run_events(thread_id, run_id)
return [e for e in events if e.get("category") == "message"]
async def count_messages(self, thread_id):
all_events = self._read_thread_events(thread_id)
return sum(1 for e in all_events if e.get("category") == "message")
async def delete_by_thread(self, thread_id):
all_events = self._read_thread_events(thread_id)
count = len(all_events)
thread_dir = self._thread_dir(thread_id)
if thread_dir.exists():
for f in thread_dir.glob("*.jsonl"):
f.unlink()
self._seq_counters.pop(thread_id, None)
return count
async def delete_by_run(self, thread_id, run_id):
events = self._read_run_events(thread_id, run_id)
count = len(events)
path = self._run_file(thread_id, run_id)
if path.exists():
path.unlink()
return count
@@ -1,120 +0,0 @@
"""In-memory RunEventStore. Used when run_events.backend=memory (default) and in tests.
Thread-safe for single-process async usage (no threading locks needed
since all mutations happen within the same event loop).
"""
from __future__ import annotations
from datetime import UTC, datetime
from deerflow.runtime.events.store.base import RunEventStore
class MemoryRunEventStore(RunEventStore):
def __init__(self) -> None:
self._events: dict[str, list[dict]] = {} # thread_id -> sorted event list
self._seq_counters: dict[str, int] = {} # thread_id -> last assigned seq
def _next_seq(self, thread_id: str) -> int:
current = self._seq_counters.get(thread_id, 0)
next_val = current + 1
self._seq_counters[thread_id] = next_val
return next_val
def _put_one(
self,
*,
thread_id: str,
run_id: str,
event_type: str,
category: str,
content: str | dict = "",
metadata: dict | None = None,
created_at: str | None = None,
) -> dict:
seq = self._next_seq(thread_id)
record = {
"thread_id": thread_id,
"run_id": run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"seq": seq,
"created_at": created_at or datetime.now(UTC).isoformat(),
}
self._events.setdefault(thread_id, []).append(record)
return record
async def put(
self,
*,
thread_id,
run_id,
event_type,
category,
content="",
metadata=None,
created_at=None,
):
return self._put_one(
thread_id=thread_id,
run_id=run_id,
event_type=event_type,
category=category,
content=content,
metadata=metadata,
created_at=created_at,
)
async def put_batch(self, events):
results = []
for ev in events:
record = self._put_one(**ev)
results.append(record)
return results
async def list_messages(self, thread_id, *, limit=50, before_seq=None, after_seq=None):
all_events = self._events.get(thread_id, [])
messages = [e for e in all_events if e["category"] == "message"]
if before_seq is not None:
messages = [e for e in messages if e["seq"] < before_seq]
# Take the last `limit` records
return messages[-limit:]
elif after_seq is not None:
messages = [e for e in messages if e["seq"] > after_seq]
return messages[:limit]
else:
# Return the latest `limit` records, ascending
return messages[-limit:]
async def list_events(self, thread_id, run_id, *, event_types=None, limit=500):
all_events = self._events.get(thread_id, [])
filtered = [e for e in all_events if e["run_id"] == run_id]
if event_types is not None:
filtered = [e for e in filtered if e["event_type"] in event_types]
return filtered[:limit]
async def list_messages_by_run(self, thread_id, run_id):
all_events = self._events.get(thread_id, [])
return [e for e in all_events if e["run_id"] == run_id and e["category"] == "message"]
async def count_messages(self, thread_id):
all_events = self._events.get(thread_id, [])
return sum(1 for e in all_events if e["category"] == "message")
async def delete_by_thread(self, thread_id):
events = self._events.pop(thread_id, [])
self._seq_counters.pop(thread_id, None)
return len(events)
async def delete_by_run(self, thread_id, run_id):
all_events = self._events.get(thread_id, [])
if not all_events:
return 0
remaining = [e for e in all_events if e["run_id"] != run_id]
removed = len(all_events) - len(remaining)
self._events[thread_id] = remaining
return removed
@@ -1,471 +0,0 @@
"""Run event capture via LangChain callbacks.
RunJournal sits between LangChain's callback mechanism and the pluggable
RunEventStore. It standardizes callback data into RunEvent records and
handles token usage accumulation.
Key design decisions:
- on_llm_new_token is NOT implemented -- only complete messages via on_llm_end
- on_chat_model_start captures structured prompts as llm_request (OpenAI format)
- on_llm_end emits llm_response in OpenAI Chat Completions format
- Token usage accumulated in memory, written to RunRow on run completion
- Caller identification via tags injection (lead_agent / subagent:{name} / middleware:{name})
"""
from __future__ import annotations
import asyncio
import logging
import time
from datetime import UTC, datetime
from typing import TYPE_CHECKING, Any
from uuid import UUID
from langchain_core.callbacks import BaseCallbackHandler
if TYPE_CHECKING:
from deerflow.runtime.events.store.base import RunEventStore
logger = logging.getLogger(__name__)
class RunJournal(BaseCallbackHandler):
"""LangChain callback handler that captures events to RunEventStore."""
def __init__(
self,
run_id: str,
thread_id: str,
event_store: RunEventStore,
*,
track_token_usage: bool = True,
flush_threshold: int = 20,
):
super().__init__()
self.run_id = run_id
self.thread_id = thread_id
self._store = event_store
self._track_tokens = track_token_usage
self._flush_threshold = flush_threshold
# Write buffer
self._buffer: list[dict] = []
# Token accumulators
self._total_input_tokens = 0
self._total_output_tokens = 0
self._total_tokens = 0
self._llm_call_count = 0
self._lead_agent_tokens = 0
self._subagent_tokens = 0
self._middleware_tokens = 0
# Convenience fields
self._last_ai_msg: str | None = None
self._first_human_msg: str | None = None
self._msg_count = 0
# Latency tracking
self._llm_start_times: dict[str, float] = {} # langchain run_id -> start time
# LLM request/response tracking
self._llm_call_index = 0
self._cached_prompts: dict[str, list[dict]] = {} # langchain run_id -> OpenAI messages
self._cached_models: dict[str, str] = {} # langchain run_id -> model name
# Tool call ID cache
self._tool_call_ids: dict[str, str] = {} # langchain run_id -> tool_call_id
# -- Lifecycle callbacks --
def on_chain_start(self, serialized: dict, inputs: Any, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(
event_type="run_start",
category="lifecycle",
metadata={"input_preview": str(inputs)[:500]},
)
def on_chain_end(self, outputs: Any, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(event_type="run_end", category="lifecycle", metadata={"status": "success"})
self._flush_sync()
def on_chain_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(
event_type="run_error",
category="lifecycle",
content=str(error),
metadata={"error_type": type(error).__name__},
)
self._flush_sync()
# -- LLM callbacks --
def on_chat_model_start(self, serialized: dict, messages: list[list], *, run_id: UUID, **kwargs: Any) -> None:
"""Capture structured prompt messages for llm_request event."""
from deerflow.runtime.converters import langchain_messages_to_openai
rid = str(run_id)
self._llm_start_times[rid] = time.monotonic()
self._llm_call_index += 1
model_name = serialized.get("name", "")
self._cached_models[rid] = model_name
# Convert the first message list (LangChain passes list-of-lists)
prompt_msgs = messages[0] if messages else []
openai_msgs = langchain_messages_to_openai(prompt_msgs)
self._cached_prompts[rid] = openai_msgs
caller = self._identify_caller(kwargs)
self._put(
event_type="llm_request",
category="trace",
content={"model": model_name, "messages": openai_msgs},
metadata={"caller": caller, "llm_call_index": self._llm_call_index},
)
def on_llm_start(self, serialized: dict, prompts: list[str], *, run_id: UUID, **kwargs: Any) -> None:
# Fallback: on_chat_model_start is preferred. This just tracks latency.
self._llm_start_times[str(run_id)] = time.monotonic()
def on_llm_end(self, response: Any, *, run_id: UUID, **kwargs: Any) -> None:
from deerflow.runtime.converters import langchain_to_openai_completion
try:
message = response.generations[0][0].message
except (IndexError, AttributeError):
logger.debug("on_llm_end: could not extract message from response")
return
caller = self._identify_caller(kwargs)
# Latency
rid = str(run_id)
start = self._llm_start_times.pop(rid, None)
latency_ms = int((time.monotonic() - start) * 1000) if start else None
# Token usage from message
usage = getattr(message, "usage_metadata", None)
usage_dict = dict(usage) if usage else {}
# Resolve call index
call_index = self._llm_call_index
if rid not in self._cached_prompts:
# Fallback: on_chat_model_start was not called
self._llm_call_index += 1
call_index = self._llm_call_index
# Clean up caches
self._cached_prompts.pop(rid, None)
self._cached_models.pop(rid, None)
# Trace event: llm_response (OpenAI completion format)
content = getattr(message, "content", "")
self._put(
event_type="llm_response",
category="trace",
content=langchain_to_openai_completion(message),
metadata={
"caller": caller,
"usage": usage_dict,
"latency_ms": latency_ms,
"llm_call_index": call_index,
},
)
# Message events: only lead_agent gets message-category events.
# Content uses message.model_dump() to align with checkpoint format.
tool_calls = getattr(message, "tool_calls", None) or []
if caller == "lead_agent":
resp_meta = getattr(message, "response_metadata", None) or {}
model_name = resp_meta.get("model_name") if isinstance(resp_meta, dict) else None
if tool_calls:
# ai_tool_call: agent decided to use tools
self._put(
event_type="ai_tool_call",
category="message",
content=message.model_dump(),
metadata={"model_name": model_name, "finish_reason": "tool_calls"},
)
elif isinstance(content, str) and content:
# ai_message: final text reply
self._put(
event_type="ai_message",
category="message",
content=message.model_dump(),
metadata={"model_name": model_name, "finish_reason": "stop"},
)
self._last_ai_msg = content
self._msg_count += 1
# Token accumulation
if self._track_tokens:
input_tk = usage_dict.get("input_tokens", 0) or 0
output_tk = usage_dict.get("output_tokens", 0) or 0
total_tk = usage_dict.get("total_tokens", 0) or 0
if total_tk == 0:
total_tk = input_tk + output_tk
if total_tk > 0:
self._total_input_tokens += input_tk
self._total_output_tokens += output_tk
self._total_tokens += total_tk
self._llm_call_count += 1
if caller.startswith("subagent:"):
self._subagent_tokens += total_tk
elif caller.startswith("middleware:"):
self._middleware_tokens += total_tk
else:
self._lead_agent_tokens += total_tk
def on_llm_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
self._llm_start_times.pop(str(run_id), None)
self._put(event_type="llm_error", category="trace", content=str(error))
# -- Tool callbacks --
def on_tool_start(self, serialized: dict, input_str: str, *, run_id: UUID, **kwargs: Any) -> None:
tool_call_id = kwargs.get("tool_call_id")
if tool_call_id:
self._tool_call_ids[str(run_id)] = tool_call_id
self._put(
event_type="tool_start",
category="trace",
metadata={
"tool_name": serialized.get("name", ""),
"tool_call_id": tool_call_id,
"args": str(input_str)[:2000],
},
)
def on_tool_end(self, output: Any, *, run_id: UUID, **kwargs: Any) -> None:
from langchain_core.messages import ToolMessage
# Extract fields from ToolMessage object when LangChain provides one.
# LangChain's _format_output wraps tool results into a ToolMessage
# with tool_call_id, name, status, and artifact — more complete than
# what kwargs alone provides.
if isinstance(output, ToolMessage):
tool_call_id = output.tool_call_id or kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = output.name or kwargs.get("name", "")
status = getattr(output, "status", "success") or "success"
content_str = output.content if isinstance(output.content, str) else str(output.content)
# Use model_dump() for checkpoint-aligned message content.
# Override tool_call_id if it was resolved from cache.
msg_content = output.model_dump()
if msg_content.get("tool_call_id") != tool_call_id:
msg_content["tool_call_id"] = tool_call_id
else:
tool_call_id = kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = kwargs.get("name", "")
status = "success"
content_str = str(output)
# Construct checkpoint-aligned dict when output is a plain string.
msg_content = ToolMessage(
content=content_str,
tool_call_id=tool_call_id or "",
name=tool_name,
status=status,
).model_dump()
# Trace event (always)
self._put(
event_type="tool_end",
category="trace",
content=content_str,
metadata={
"tool_name": tool_name,
"tool_call_id": tool_call_id,
"status": status,
},
)
# Message event: tool_result (checkpoint-aligned model_dump format)
self._put(
event_type="tool_result",
category="message",
content=msg_content,
metadata={"tool_name": tool_name, "status": status},
)
def on_tool_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
from langchain_core.messages import ToolMessage
tool_call_id = kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = kwargs.get("name", "")
# Trace event
self._put(
event_type="tool_error",
category="trace",
content=str(error),
metadata={
"tool_name": tool_name,
"tool_call_id": tool_call_id,
},
)
# Message event: tool_result with error status (checkpoint-aligned)
msg_content = ToolMessage(
content=str(error),
tool_call_id=tool_call_id or "",
name=tool_name,
status="error",
).model_dump()
self._put(
event_type="tool_result",
category="message",
content=msg_content,
metadata={"tool_name": tool_name, "status": "error"},
)
# -- Custom event callback --
def on_custom_event(self, name: str, data: Any, *, run_id: UUID, **kwargs: Any) -> None:
from deerflow.runtime.serialization import serialize_lc_object
if name == "summarization":
data_dict = data if isinstance(data, dict) else {}
self._put(
event_type="summarization",
category="trace",
content=data_dict.get("summary", ""),
metadata={
"replaced_message_ids": data_dict.get("replaced_message_ids", []),
"replaced_count": data_dict.get("replaced_count", 0),
},
)
self._put(
event_type="middleware:summarize",
category="middleware",
content={"role": "system", "content": data_dict.get("summary", "")},
metadata={"replaced_count": data_dict.get("replaced_count", 0)},
)
else:
event_data = serialize_lc_object(data) if not isinstance(data, dict) else data
self._put(
event_type=name,
category="trace",
metadata=event_data if isinstance(event_data, dict) else {"data": event_data},
)
# -- Internal methods --
def _put(self, *, event_type: str, category: str, content: str | dict = "", metadata: dict | None = None) -> None:
self._buffer.append(
{
"thread_id": self.thread_id,
"run_id": self.run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"created_at": datetime.now(UTC).isoformat(),
}
)
if len(self._buffer) >= self._flush_threshold:
self._flush_sync()
def _flush_sync(self) -> None:
"""Best-effort flush of buffer to RunEventStore.
BaseCallbackHandler methods are synchronous. If an event loop is
running we schedule an async ``put_batch``; otherwise the events
stay in the buffer and are flushed later by the async ``flush()``
call in the worker's ``finally`` block.
"""
if not self._buffer:
return
try:
loop = asyncio.get_running_loop()
except RuntimeError:
# No event loop — keep events in buffer for later async flush.
return
batch = self._buffer.copy()
self._buffer.clear()
task = loop.create_task(self._flush_async(batch))
task.add_done_callback(self._on_flush_done)
async def _flush_async(self, batch: list[dict]) -> None:
try:
await self._store.put_batch(batch)
except Exception:
logger.warning(
"Failed to flush %d events for run %s — returning to buffer",
len(batch),
self.run_id,
exc_info=True,
)
# Return failed events to buffer for retry on next flush
self._buffer = batch + self._buffer
@staticmethod
def _on_flush_done(task: asyncio.Task) -> None:
if task.cancelled():
return
exc = task.exception()
if exc:
logger.warning("Journal flush task failed: %s", exc)
def _identify_caller(self, kwargs: dict) -> str:
for tag in kwargs.get("tags") or []:
if isinstance(tag, str) and (tag.startswith("subagent:") or tag.startswith("middleware:") or tag == "lead_agent"):
return tag
# Default to lead_agent: the main agent graph does not inject
# callback tags, while subagents and middleware explicitly tag
# themselves.
return "lead_agent"
# -- Public methods (called by worker) --
def set_first_human_message(self, content: str) -> None:
"""Record the first human message for convenience fields."""
self._first_human_msg = content[:2000] if content else None
def record_middleware(self, tag: str, *, name: str, hook: str, action: str, changes: dict) -> None:
"""Record a middleware state-change event.
Called by middleware implementations when they perform a meaningful
state change (e.g., title generation, summarization, HITL approval).
Pure-observation middleware should not call this.
Args:
tag: Short identifier for the middleware (e.g., "title", "summarize",
"guardrail"). Used to form event_type="middleware:{tag}".
name: Full middleware class name.
hook: Lifecycle hook that triggered the action (e.g., "after_model").
action: Specific action performed (e.g., "generate_title").
changes: Dict describing the state changes made.
"""
self._put(
event_type=f"middleware:{tag}",
category="middleware",
content={"name": name, "hook": hook, "action": action, "changes": changes},
)
async def flush(self) -> None:
"""Force flush remaining buffer. Called in worker's finally block."""
if self._buffer:
batch = self._buffer.copy()
self._buffer.clear()
await self._store.put_batch(batch)
def get_completion_data(self) -> dict:
"""Return accumulated token and message data for run completion."""
return {
"total_input_tokens": self._total_input_tokens,
"total_output_tokens": self._total_output_tokens,
"total_tokens": self._total_tokens,
"llm_call_count": self._llm_call_count,
"lead_agent_tokens": self._lead_agent_tokens,
"subagent_tokens": self._subagent_tokens,
"middleware_tokens": self._middleware_tokens,
"message_count": self._msg_count,
"last_ai_message": self._last_ai_msg,
"first_human_message": self._first_human_msg,
}
@@ -2,12 +2,11 @@
from .manager import ConflictError, RunManager, RunRecord, UnsupportedStrategyError
from .schemas import DisconnectMode, RunStatus
from .worker import RunContext, run_agent
from .worker import run_agent
__all__ = [
"ConflictError",
"DisconnectMode",
"RunContext",
"RunManager",
"RunRecord",
"RunStatus",
@@ -1,4 +1,4 @@
"""In-memory run registry with optional persistent RunStore backing."""
"""In-memory run registry."""
from __future__ import annotations
@@ -7,13 +7,9 @@ import logging
import uuid
from dataclasses import dataclass, field
from datetime import UTC, datetime
from typing import TYPE_CHECKING
from .schemas import DisconnectMode, RunStatus
if TYPE_CHECKING:
from deerflow.runtime.runs.store.base import RunStore
logger = logging.getLogger(__name__)
@@ -42,44 +38,11 @@ class RunRecord:
class RunManager:
"""In-memory run registry with optional persistent RunStore backing.
"""In-memory run registry. All mutations are protected by an asyncio lock."""
All mutations are protected by an asyncio lock. When a ``store`` is
provided, serializable metadata is also persisted to the store so
that run history survives process restarts.
"""
def __init__(self, store: RunStore | None = None) -> None:
def __init__(self) -> None:
self._runs: dict[str, RunRecord] = {}
self._lock = asyncio.Lock()
self._store = store
async def _persist_to_store(self, record: RunRecord, *, follow_up_to_run_id: str | None = None) -> None:
"""Best-effort persist run record to backing store."""
if self._store is None:
return
try:
await self._store.put(
record.run_id,
thread_id=record.thread_id,
assistant_id=record.assistant_id,
status=record.status.value,
multitask_strategy=record.multitask_strategy,
metadata=record.metadata or {},
kwargs=record.kwargs or {},
created_at=record.created_at,
follow_up_to_run_id=follow_up_to_run_id,
)
except Exception:
logger.warning("Failed to persist run %s to store", record.run_id, exc_info=True)
async def update_run_completion(self, run_id: str, **kwargs) -> None:
"""Persist token usage and completion data to the backing store."""
if self._store is not None:
try:
await self._store.update_run_completion(run_id, **kwargs)
except Exception:
logger.warning("Failed to persist run completion for %s", run_id, exc_info=True)
async def create(
self,
@@ -90,7 +53,6 @@ class RunManager:
metadata: dict | None = None,
kwargs: dict | None = None,
multitask_strategy: str = "reject",
follow_up_to_run_id: str | None = None,
) -> RunRecord:
"""Create a new pending run and register it."""
run_id = str(uuid.uuid4())
@@ -109,7 +71,6 @@ class RunManager:
)
async with self._lock:
self._runs[run_id] = record
await self._persist_to_store(record, follow_up_to_run_id=follow_up_to_run_id)
logger.info("Run created: run_id=%s thread_id=%s", run_id, thread_id)
return record
@@ -135,11 +96,6 @@ class RunManager:
record.updated_at = _now_iso()
if error is not None:
record.error = error
if self._store is not None:
try:
await self._store.update_status(run_id, status.value, error=error)
except Exception:
logger.warning("Failed to persist status update for run %s", run_id, exc_info=True)
logger.info("Run %s -> %s", run_id, status.value)
async def cancel(self, run_id: str, *, action: str = "interrupt") -> bool:
@@ -176,7 +132,6 @@ class RunManager:
metadata: dict | None = None,
kwargs: dict | None = None,
multitask_strategy: str = "reject",
follow_up_to_run_id: str | None = None,
) -> RunRecord:
"""Atomically check for inflight runs and create a new one.
@@ -230,7 +185,6 @@ class RunManager:
)
self._runs[run_id] = record
await self._persist_to_store(record, follow_up_to_run_id=follow_up_to_run_id)
logger.info("Run created: run_id=%s thread_id=%s", run_id, thread_id)
return record
@@ -1,4 +0,0 @@
from deerflow.runtime.runs.store.base import RunStore
from deerflow.runtime.runs.store.memory import MemoryRunStore
__all__ = ["MemoryRunStore", "RunStore"]
@@ -1,96 +0,0 @@
"""Abstract interface for run metadata storage.
RunManager depends on this interface. Implementations:
- MemoryRunStore: in-memory dict (development, tests)
- Future: RunRepository backed by SQLAlchemy ORM
All methods accept an optional owner_id for user isolation.
When owner_id is None, no user filtering is applied (single-user mode).
"""
from __future__ import annotations
import abc
from typing import Any
class RunStore(abc.ABC):
@abc.abstractmethod
async def put(
self,
run_id: str,
*,
thread_id: str,
assistant_id: str | None = None,
owner_id: str | None = None,
status: str = "pending",
multitask_strategy: str = "reject",
metadata: dict[str, Any] | None = None,
kwargs: dict[str, Any] | None = None,
error: str | None = None,
created_at: str | None = None,
follow_up_to_run_id: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def get(self, run_id: str) -> dict[str, Any] | None:
pass
@abc.abstractmethod
async def list_by_thread(
self,
thread_id: str,
*,
owner_id: str | None = None,
limit: int = 100,
) -> list[dict[str, Any]]:
pass
@abc.abstractmethod
async def update_status(
self,
run_id: str,
status: str,
*,
error: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def delete(self, run_id: str) -> None:
pass
@abc.abstractmethod
async def update_run_completion(
self,
run_id: str,
*,
status: str,
total_input_tokens: int = 0,
total_output_tokens: int = 0,
total_tokens: int = 0,
llm_call_count: int = 0,
lead_agent_tokens: int = 0,
subagent_tokens: int = 0,
middleware_tokens: int = 0,
message_count: int = 0,
last_ai_message: str | None = None,
first_human_message: str | None = None,
error: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def list_pending(self, *, before: str | None = None) -> list[dict[str, Any]]:
pass
@abc.abstractmethod
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
"""Aggregate token usage for completed runs in a thread.
Returns a dict with keys: total_tokens, total_input_tokens,
total_output_tokens, total_runs, by_model (model_name → {tokens, runs}),
by_caller ({lead_agent, subagent, middleware}).
"""
pass
@@ -1,100 +0,0 @@
"""In-memory RunStore. Used when database.backend=memory (default) and in tests.
Equivalent to the original RunManager._runs dict behavior.
"""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from deerflow.runtime.runs.store.base import RunStore
class MemoryRunStore(RunStore):
def __init__(self) -> None:
self._runs: dict[str, dict[str, Any]] = {}
async def put(
self,
run_id,
*,
thread_id,
assistant_id=None,
owner_id=None,
status="pending",
multitask_strategy="reject",
metadata=None,
kwargs=None,
error=None,
created_at=None,
follow_up_to_run_id=None,
):
now = datetime.now(UTC).isoformat()
self._runs[run_id] = {
"run_id": run_id,
"thread_id": thread_id,
"assistant_id": assistant_id,
"owner_id": owner_id,
"status": status,
"multitask_strategy": multitask_strategy,
"metadata": metadata or {},
"kwargs": kwargs or {},
"error": error,
"follow_up_to_run_id": follow_up_to_run_id,
"created_at": created_at or now,
"updated_at": now,
}
async def get(self, run_id):
return self._runs.get(run_id)
async def list_by_thread(self, thread_id, *, owner_id=None, limit=100):
results = [r for r in self._runs.values() if r["thread_id"] == thread_id and (owner_id is None or r.get("owner_id") == owner_id)]
results.sort(key=lambda r: r["created_at"], reverse=True)
return results[:limit]
async def update_status(self, run_id, status, *, error=None):
if run_id in self._runs:
self._runs[run_id]["status"] = status
if error is not None:
self._runs[run_id]["error"] = error
self._runs[run_id]["updated_at"] = datetime.now(UTC).isoformat()
async def delete(self, run_id):
self._runs.pop(run_id, None)
async def update_run_completion(self, run_id, *, status, **kwargs):
if run_id in self._runs:
self._runs[run_id]["status"] = status
for key, value in kwargs.items():
if value is not None:
self._runs[run_id][key] = value
self._runs[run_id]["updated_at"] = datetime.now(UTC).isoformat()
async def list_pending(self, *, before=None):
now = before or datetime.now(UTC).isoformat()
results = [r for r in self._runs.values() if r["status"] == "pending" and r["created_at"] <= now]
results.sort(key=lambda r: r["created_at"])
return results
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
completed = [r for r in self._runs.values() if r["thread_id"] == thread_id and r.get("status") in ("success", "error")]
by_model: dict[str, dict] = {}
for r in completed:
model = r.get("model_name") or "unknown"
entry = by_model.setdefault(model, {"tokens": 0, "runs": 0})
entry["tokens"] += r.get("total_tokens", 0)
entry["runs"] += 1
return {
"total_tokens": sum(r.get("total_tokens", 0) for r in completed),
"total_input_tokens": sum(r.get("total_input_tokens", 0) for r in completed),
"total_output_tokens": sum(r.get("total_output_tokens", 0) for r in completed),
"total_runs": len(completed),
"by_model": by_model,
"by_caller": {
"lead_agent": sum(r.get("lead_agent_tokens", 0) for r in completed),
"subagent": sum(r.get("subagent_tokens", 0) for r in completed),
"middleware": sum(r.get("middleware_tokens", 0) for r in completed),
},
}
@@ -19,11 +19,7 @@ import asyncio
import copy
import inspect
import logging
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Literal
if TYPE_CHECKING:
from langchain_core.messages import HumanMessage
from typing import Any, Literal
from deerflow.runtime.serialization import serialize
from deerflow.runtime.stream_bridge import StreamBridge
@@ -37,29 +33,13 @@ logger = logging.getLogger(__name__)
_VALID_LG_MODES = {"values", "updates", "checkpoints", "tasks", "debug", "messages", "custom"}
@dataclass(frozen=True)
class RunContext:
"""Infrastructure dependencies for a single agent run.
Groups checkpointer, store, and persistence-related singletons so that
``run_agent`` (and any future callers) receive one object instead of a
growing list of keyword arguments.
"""
checkpointer: Any
store: Any | None = field(default=None)
event_store: Any | None = field(default=None)
run_events_config: Any | None = field(default=None)
thread_meta_repo: Any | None = field(default=None)
follow_up_to_run_id: str | None = field(default=None)
async def run_agent(
bridge: StreamBridge,
run_manager: RunManager,
record: RunRecord,
*,
ctx: RunContext,
checkpointer: Any,
store: Any | None = None,
agent_factory: Any,
graph_input: dict,
config: dict,
@@ -70,14 +50,6 @@ async def run_agent(
) -> None:
"""Execute an agent in the background, publishing events to *bridge*."""
# Unpack infrastructure dependencies from RunContext.
checkpointer = ctx.checkpointer
store = ctx.store
event_store = ctx.event_store
run_events_config = ctx.run_events_config
thread_meta_repo = ctx.thread_meta_repo
follow_up_to_run_id = ctx.follow_up_to_run_id
run_id = record.run_id
thread_id = record.thread_id
requested_modes: set[str] = set(stream_modes or ["values"])
@@ -85,35 +57,6 @@ async def run_agent(
pre_run_snapshot: dict[str, Any] | None = None
snapshot_capture_failed = False
# Initialize RunJournal for event capture
journal = None
if event_store is not None:
from deerflow.runtime.journal import RunJournal
journal = RunJournal(
run_id=run_id,
thread_id=thread_id,
event_store=event_store,
track_token_usage=getattr(run_events_config, "track_token_usage", True),
)
# Write human_message event (model_dump format, aligned with checkpoint)
human_msg = _extract_human_message(graph_input)
if human_msg is not None:
msg_metadata = {}
if follow_up_to_run_id:
msg_metadata["follow_up_to_run_id"] = follow_up_to_run_id
await event_store.put(
thread_id=thread_id,
run_id=run_id,
event_type="human_message",
category="message",
content=human_msg.model_dump(),
metadata=msg_metadata or None,
)
content = human_msg.content
journal.set_first_human_message(content if isinstance(content, str) else str(content))
# Track whether "events" was requested but skipped
if "events" in requested_modes:
logger.info(
@@ -167,11 +110,6 @@ async def run_agent(
config["context"].setdefault("thread_id", thread_id)
config.setdefault("configurable", {})["__pregel_runtime"] = runtime
# Inject RunJournal as a LangChain callback handler.
# on_llm_end captures token usage; on_chain_start/end captures lifecycle.
if journal is not None:
config.setdefault("callbacks", []).append(journal)
runnable_config = RunnableConfig(**config)
agent = agent_factory(config=runnable_config)
@@ -298,37 +236,6 @@ async def run_agent(
)
finally:
# Flush any buffered journal events and persist completion data
if journal is not None:
try:
await journal.flush()
except Exception:
logger.warning("Failed to flush journal for run %s", run_id, exc_info=True)
# Persist token usage + convenience fields to RunStore
completion = journal.get_completion_data()
await run_manager.update_run_completion(run_id, status=record.status.value, **completion)
# Sync title from checkpoint to threads_meta.display_name
if checkpointer is not None:
try:
ckpt_config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
ckpt_tuple = await checkpointer.aget_tuple(ckpt_config)
if ckpt_tuple is not None:
ckpt = getattr(ckpt_tuple, "checkpoint", {}) or {}
title = ckpt.get("channel_values", {}).get("title")
if title:
await thread_meta_repo.update_display_name(thread_id, title)
except Exception:
logger.debug("Failed to sync title for thread %s (non-fatal)", thread_id)
# Update threads_meta status based on run outcome
try:
final_status = "idle" if record.status == RunStatus.success else record.status.value
await thread_meta_repo.update_status(thread_id, final_status)
except Exception:
logger.debug("Failed to update thread_meta status for %s (non-fatal)", thread_id)
await bridge.publish_end(run_id)
asyncio.create_task(bridge.cleanup(run_id, delay=60))
@@ -448,31 +355,6 @@ def _lg_mode_to_sse_event(mode: str) -> str:
return mode
def _extract_human_message(graph_input: dict) -> HumanMessage | None:
"""Extract or construct a HumanMessage from graph_input for event recording.
Returns a LangChain HumanMessage so callers can use .model_dump() to get
the checkpoint-aligned serialization format.
"""
from langchain_core.messages import HumanMessage
messages = graph_input.get("messages")
if not messages:
return None
last = messages[-1] if isinstance(messages, list) else messages
if isinstance(last, HumanMessage):
return last
if isinstance(last, str):
return HumanMessage(content=last) if last else None
if hasattr(last, "content"):
content = last.content
return HumanMessage(content=content)
if isinstance(last, dict):
content = last.get("content", "")
return HumanMessage(content=content) if content else None
return None
def _unpack_stream_item(
item: Any,
lg_modes: list[str],
@@ -1,148 +0,0 @@
"""Request-scoped user context for owner-based authorization.
This module holds a :class:`~contextvars.ContextVar` that the gateway's
auth middleware sets after a successful authentication. Repository
methods read the contextvar via a sentinel default parameter, letting
routers stay free of ``owner_id`` boilerplate.
Three-state semantics for the repository ``owner_id`` parameter (the
consumer side of this module lives in ``deerflow.persistence.*``):
- ``_AUTO`` (module-private sentinel, default): read from contextvar;
raise :class:`RuntimeError` if unset.
- Explicit ``str``: use the provided value, overriding contextvar.
- Explicit ``None``: no WHERE clause — used only by migration scripts
and admin CLIs that intentionally bypass isolation.
Dependency direction
--------------------
``persistence`` (lower layer) reads from this module; ``gateway.auth``
(higher layer) writes to it. ``CurrentUser`` is defined here as a
:class:`typing.Protocol` so that ``persistence`` never needs to import
the concrete ``User`` class from ``gateway.auth.models``. Any object
with an ``.id: str`` attribute structurally satisfies the protocol.
Asyncio semantics
-----------------
``ContextVar`` is task-local under asyncio, not thread-local. Each
FastAPI request runs in its own task, so the context is naturally
isolated. ``asyncio.create_task`` and ``asyncio.to_thread`` inherit the
parent task's context, which is typically the intended behaviour; if
a background task must *not* see the foreground user, wrap it with
``contextvars.copy_context()`` to get a clean copy.
"""
from __future__ import annotations
from contextvars import ContextVar, Token
from typing import Final, Protocol, runtime_checkable
@runtime_checkable
class CurrentUser(Protocol):
"""Structural type for the current authenticated user.
Any object with an ``.id: str`` attribute satisfies this protocol.
Concrete implementations live in ``app.gateway.auth.models.User``.
"""
id: str
_current_user: Final[ContextVar[CurrentUser | None]] = ContextVar("deerflow_current_user", default=None)
def set_current_user(user: CurrentUser) -> Token[CurrentUser | None]:
"""Set the current user for this async task.
Returns a reset token that should be passed to
:func:`reset_current_user` in a ``finally`` block to restore the
previous context.
"""
return _current_user.set(user)
def reset_current_user(token: Token[CurrentUser | None]) -> None:
"""Restore the context to the state captured by ``token``."""
_current_user.reset(token)
def get_current_user() -> CurrentUser | None:
"""Return the current user, or ``None`` if unset.
Safe to call in any context. Used by code paths that can proceed
without a user (e.g. migration scripts, public endpoints).
"""
return _current_user.get()
def require_current_user() -> CurrentUser:
"""Return the current user, or raise :class:`RuntimeError`.
Used by repository code that must not be called outside a
request-authenticated context. The error message is phrased so
that a caller debugging a stack trace can locate the offending
code path.
"""
user = _current_user.get()
if user is None:
raise RuntimeError("repository accessed without user context")
return user
# ---------------------------------------------------------------------------
# Sentinel-based owner_id resolution
# ---------------------------------------------------------------------------
#
# Repository methods accept an ``owner_id`` keyword-only argument that
# defaults to ``AUTO``. The three possible values drive distinct
# behaviours; see the docstring on :func:`resolve_owner_id`.
class _AutoSentinel:
"""Singleton marker meaning 'resolve owner_id from contextvar'."""
_instance: _AutoSentinel | None = None
def __new__(cls) -> _AutoSentinel:
if cls._instance is None:
cls._instance = super().__new__(cls)
return cls._instance
def __repr__(self) -> str:
return "<AUTO>"
AUTO: Final[_AutoSentinel] = _AutoSentinel()
def resolve_owner_id(
value: str | None | _AutoSentinel,
*,
method_name: str = "repository method",
) -> str | None:
"""Resolve the owner_id parameter passed to a repository method.
Three-state semantics:
- :data:`AUTO` (default): read from contextvar; raise
:class:`RuntimeError` if no user is in context. This is the
common case for request-scoped calls.
- Explicit ``str``: use the provided id verbatim, overriding any
contextvar value. Useful for tests and admin-override flows.
- Explicit ``None``: no filter — the repository should skip the
owner_id WHERE clause entirely. Reserved for migration scripts
and CLI tools that intentionally bypass isolation.
"""
if isinstance(value, _AutoSentinel):
user = _current_user.get()
if user is None:
raise RuntimeError(f"{method_name} called with owner_id=AUTO but no user context is set; pass an explicit owner_id, set the contextvar via auth middleware, or opt out with owner_id=None for migration/CLI paths.")
# Coerce to ``str`` at the boundary: ``User.id`` is typed as
# ``UUID`` for the API surface, but the persistence layer
# stores ``owner_id`` as ``String(64)`` and aiosqlite cannot
# bind a raw UUID object to a VARCHAR column ("type 'UUID' is
# not supported"). Honour the documented return type here
# rather than ripple a type change through every caller.
return str(user.id)
return value
@@ -62,6 +62,9 @@ class LocalSandbox(Sandbox):
"""
super().__init__(id)
self.path_mappings = path_mappings or []
# Track files written through write_file so read_file only
# reverse-resolves paths in agent-authored content.
self._agent_written_paths: set[str] = set()
def _is_read_only_path(self, resolved_path: str) -> bool:
"""Check if a resolved path is under a read-only mount.
@@ -205,6 +208,39 @@ class LocalSandbox(Sandbox):
return pattern.sub(replace_match, command)
def _resolve_paths_in_content(self, content: str) -> str:
"""Resolve container paths to local paths in arbitrary file content.
Unlike ``_resolve_paths_in_command`` which uses shell-aware boundary
characters, this method treats the content as plain text and resolves
every occurrence of a container path prefix. Resolved paths are
normalized to forward slashes to avoid backslash-escape issues on
Windows hosts (e.g. ``C:\\Users\\..`` breaking Python string literals).
Args:
content: File content that may contain container paths.
Returns:
Content with container paths resolved to local paths (forward slashes).
"""
import re
sorted_mappings = sorted(self.path_mappings, key=lambda m: len(m.container_path), reverse=True)
if not sorted_mappings:
return content
patterns = [re.escape(m.container_path) + r"(?=/|$|[^\w./-])(?:/[^\s\"';&|<>()]*)?" for m in sorted_mappings]
pattern = re.compile("|".join(f"({p})" for p in patterns))
def replace_match(match: re.Match) -> str:
matched_path = match.group(0)
resolved = self._resolve_path(matched_path)
# Normalize to forward slashes so that Windows backslash paths
# don't create invalid escape sequences in source files.
return resolved.replace("\\", "/")
return pattern.sub(replace_match, content)
@staticmethod
def _get_shell() -> str:
"""Detect available shell executable with fallback."""
@@ -280,7 +316,14 @@ class LocalSandbox(Sandbox):
resolved_path = self._resolve_path(path)
try:
with open(resolved_path, encoding="utf-8") as f:
return f.read()
content = f.read()
# Only reverse-resolve paths in files that were previously written
# by write_file (agent-authored content). User-uploaded files,
# external tool output, and other non-agent content should not be
# silently rewritten — see discussion on PR #1935.
if resolved_path in self._agent_written_paths:
content = self._reverse_resolve_paths_in_output(content)
return content
except OSError as e:
# Re-raise with the original path for clearer error messages, hiding internal resolved paths
raise type(e)(e.errno, e.strerror, path) from None
@@ -293,9 +336,16 @@ class LocalSandbox(Sandbox):
dir_path = os.path.dirname(resolved_path)
if dir_path:
os.makedirs(dir_path, exist_ok=True)
# Resolve container paths in content to local paths
# using the content-specific resolver (forward-slash safe)
resolved_content = self._resolve_paths_in_content(content)
mode = "a" if append else "w"
with open(resolved_path, mode, encoding="utf-8") as f:
f.write(content)
f.write(resolved_content)
# Track this path so read_file knows to reverse-resolve on read.
# Only agent-written files get reverse-resolved; user uploads and
# external tool output are left untouched.
self._agent_written_paths.add(resolved_path)
except OSError as e:
# Re-raise with the original path for clearer error messages, hiding internal resolved paths
raise type(e)(e.errno, e.strerror, path) from None
@@ -39,7 +39,7 @@ def is_host_bash_allowed(config=None) -> bool:
sandbox_cfg = getattr(config, "sandbox", None)
if sandbox_cfg is None:
return True
return False
if not uses_local_sandbox_provider(config):
return True
return bool(getattr(sandbox_cfg, "allow_host_bash", False))
@@ -23,7 +23,8 @@ def get_subagent_config(name: str) -> SubagentConfig | None:
if config is None:
return None
# Apply timeout override from config.yaml (lazy import to avoid circular deps)
# Apply runtime overrides (timeout, max_turns, model) from config.yaml
# Lazy import to avoid circular deps.
from deerflow.config.subagents_config import get_subagents_app_config
app_config = get_subagents_app_config()
@@ -47,6 +48,15 @@ def get_subagent_config(name: str) -> SubagentConfig | None:
effective_max_turns,
)
overrides["max_turns"] = effective_max_turns
effective_model = app_config.get_model_for(name)
if effective_model is not None and effective_model != config.model:
logger.debug(
"Subagent '%s': model overridden by config.yaml (%s -> %s)",
name,
config.model,
effective_model,
)
overrides["model"] = effective_model
if overrides:
config = replace(config, **overrides)
-9
View File
@@ -33,19 +33,10 @@ dependencies = [
"langchain-google-genai>=4.2.1",
"langgraph-checkpoint-sqlite>=3.0.3",
"langgraph-sdk>=0.1.51",
"sqlalchemy[asyncio]>=2.0,<3.0",
"aiosqlite>=0.19",
"alembic>=1.13",
]
[project.optional-dependencies]
ollama = ["langchain-ollama>=0.3.0"]
postgres = [
"asyncpg>=0.29",
"langgraph-checkpoint-postgres>=3.0.5",
"psycopg[binary]>=3.3.3",
"psycopg-pool>=3.3.0",
]
pymupdf = ["pymupdf4llm>=0.0.17"]
[build-system]
-13
View File
@@ -17,24 +17,11 @@ dependencies = [
"langgraph-sdk>=0.1.51",
"markdown-to-mrkdwn>=0.3.1",
"wecom-aibot-python-sdk>=0.1.6",
"bcrypt>=4.0.0",
"pyjwt>=2.9.0",
"email-validator>=2.0.0",
]
[project.optional-dependencies]
postgres = [
"deerflow-harness[postgres]",
]
[dependency-groups]
dev = ["pytest>=8.0.0", "ruff>=0.14.11"]
[tool.pytest.ini_options]
markers = [
"no_auto_user: disable the conftest autouse contextvar fixture for this test",
]
[tool.uv.workspace]
members = ["packages/harness"]
-134
View File
@@ -1,134 +0,0 @@
"""Helpers for router-level tests that need a stubbed auth context.
The production gateway runs ``AuthMiddleware`` (validates the JWT cookie)
ahead of every router, plus ``@require_permission(owner_check=True)``
decorators that read ``request.state.auth`` and call
``thread_meta_repo.check_access``. Router-level unit tests construct
**bare** FastAPI apps that include only one router — they have neither
the auth middleware nor a real thread_meta_repo, so the decorators raise
401 (TestClient path) or ValueError (direct-call path).
This module provides two surfaces:
1. :func:`make_authed_test_app` — wraps ``FastAPI()`` with a tiny
``BaseHTTPMiddleware`` that stamps a fake user / AuthContext on every
request, plus a permissive ``thread_meta_repo`` mock on
``app.state``. Use from TestClient-based router tests.
2. :func:`call_unwrapped` — invokes the underlying function bypassing
the ``@require_permission`` decorator chain by walking ``__wrapped__``.
Use from direct-call tests that previously imported the route
function and called it positionally.
Both helpers are deliberately permissive: they never deny a request.
Tests that want to verify the *auth boundary itself* (e.g.
``test_auth_middleware``, ``test_auth_type_system``) build their own
apps with the real middleware — those should not use this module.
"""
from __future__ import annotations
from collections.abc import Callable
from typing import ParamSpec, TypeVar
from unittest.mock import AsyncMock, MagicMock
from uuid import uuid4
from fastapi import FastAPI, Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.types import ASGIApp
from app.gateway.auth.models import User
from app.gateway.authz import AuthContext, Permissions
# Default permission set granted to the stub user. Mirrors `_ALL_PERMISSIONS`
# in authz.py — kept inline so the tests don't import a private symbol.
_STUB_PERMISSIONS: list[str] = [
Permissions.THREADS_READ,
Permissions.THREADS_WRITE,
Permissions.THREADS_DELETE,
Permissions.RUNS_CREATE,
Permissions.RUNS_READ,
Permissions.RUNS_CANCEL,
]
def _make_stub_user() -> User:
"""A deterministic test user — same shape as production, fresh UUID."""
return User(
email="router-test@example.com",
password_hash="x",
system_role="user",
id=uuid4(),
)
class _StubAuthMiddleware(BaseHTTPMiddleware):
"""Stamp a fake user / AuthContext onto every request.
Mirrors what production ``AuthMiddleware`` does after the JWT decode
+ DB lookup short-circuit, so ``@require_permission`` finds an
authenticated context and skips its own re-authentication path.
"""
def __init__(self, app: ASGIApp, user_factory: Callable[[], User]) -> None:
super().__init__(app)
self._user_factory = user_factory
async def dispatch(self, request: Request, call_next: Callable) -> Response:
user = self._user_factory()
request.state.user = user
request.state.auth = AuthContext(user=user, permissions=list(_STUB_PERMISSIONS))
return await call_next(request)
def make_authed_test_app(
*,
user_factory: Callable[[], User] | None = None,
owner_check_passes: bool = True,
) -> FastAPI:
"""Build a FastAPI test app with stub auth + permissive thread_meta_repo.
Args:
user_factory: Override the default test user. Must return a fully
populated :class:`User`. Useful for cross-user isolation tests
that need a stable id across requests.
owner_check_passes: When True (default), ``thread_meta_repo.check_access``
returns True for every call so ``@require_permission(owner_check=True)``
never blocks the route under test. Pass False to verify that
permission failures surface correctly.
Returns:
A ``FastAPI`` app with the stub middleware installed and
``app.state.thread_meta_repo`` set to a permissive mock. The
caller is still responsible for ``app.include_router(...)``.
"""
factory = user_factory or _make_stub_user
app = FastAPI()
app.add_middleware(_StubAuthMiddleware, user_factory=factory)
repo = MagicMock()
repo.check_access = AsyncMock(return_value=owner_check_passes)
app.state.thread_meta_repo = repo
return app
_P = ParamSpec("_P")
_R = TypeVar("_R")
def call_unwrapped(decorated: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs) -> _R:
"""Invoke the underlying function of a ``@require_permission``-decorated route.
``functools.wraps`` sets ``__wrapped__`` on each layer; we walk all
the way down to the original handler, bypassing every authz +
require_auth wrapper. Use from tests that need to call route
functions directly (without TestClient) and don't want to construct
a fake ``Request`` just to satisfy the decorator. The ``ParamSpec``
propagates the wrapped route's signature so call sites still get
parameter checking despite the unwrapping.
"""
fn: Callable = decorated
while hasattr(fn, "__wrapped__"):
fn = fn.__wrapped__ # type: ignore[attr-defined]
return fn(*args, **kwargs)
-42
View File
@@ -7,7 +7,6 @@ issues when unit-testing lightweight config/registry code in isolation.
import importlib.util
import sys
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
@@ -54,44 +53,3 @@ def provisioner_module():
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
# ---------------------------------------------------------------------------
# Auto-set user context for every test unless marked no_auto_user
# ---------------------------------------------------------------------------
#
# Repository methods read ``owner_id`` from a contextvar by default
# (see ``deerflow.runtime.user_context``). Without this fixture, every
# pre-existing persistence test would raise RuntimeError because the
# contextvar is unset. The fixture sets a default test user on every
# test; tests that explicitly want to verify behaviour *without* a user
# context should mark themselves ``@pytest.mark.no_auto_user``.
@pytest.fixture(autouse=True)
def _auto_user_context(request):
"""Inject a default ``test-user-autouse`` into the contextvar.
Opt-out via ``@pytest.mark.no_auto_user``. Uses lazy import so that
tests which don't touch the persistence layer never pay the cost
of importing runtime.user_context.
"""
if request.node.get_closest_marker("no_auto_user"):
yield
return
try:
from deerflow.runtime.user_context import (
reset_current_user,
set_current_user,
)
except ImportError:
yield
return
user = SimpleNamespace(id="test-user-autouse", email="test@local")
token = set_current_user(user)
try:
yield
finally:
reset_current_user(token)
+6 -6
View File
@@ -3,7 +3,7 @@ import zipfile
from pathlib import Path
import pytest
from _router_auth_helpers import call_unwrapped, make_authed_test_app
from fastapi import FastAPI
from fastapi.testclient import TestClient
from starlette.requests import Request
from starlette.responses import FileResponse
@@ -36,7 +36,7 @@ def test_get_artifact_reads_utf8_text_file_on_windows_locale(tmp_path, monkeypat
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
request = _make_request()
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", "mnt/user-data/outputs/note.txt", request))
response = asyncio.run(artifacts_router.get_artifact("thread-1", "mnt/user-data/outputs/note.txt", request))
assert bytes(response.body).decode("utf-8") == text
assert response.media_type == "text/plain"
@@ -49,7 +49,7 @@ def test_get_artifact_forces_download_for_active_content(tmp_path, monkeypatch,
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", f"mnt/user-data/outputs/{filename}", _make_request()))
response = asyncio.run(artifacts_router.get_artifact("thread-1", f"mnt/user-data/outputs/{filename}", _make_request()))
assert isinstance(response, FileResponse)
assert response.headers.get("content-disposition", "").startswith("attachment;")
@@ -63,7 +63,7 @@ def test_get_artifact_forces_download_for_active_content_in_skill_archive(tmp_pa
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: skill_path)
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", f"mnt/user-data/outputs/sample.skill/{filename}", _make_request()))
response = asyncio.run(artifacts_router.get_artifact("thread-1", f"mnt/user-data/outputs/sample.skill/{filename}", _make_request()))
assert response.headers.get("content-disposition", "").startswith("attachment;")
assert bytes(response.body) == content.encode("utf-8")
@@ -75,7 +75,7 @@ def test_get_artifact_download_false_does_not_force_attachment(tmp_path, monkeyp
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
app = make_authed_test_app()
app = FastAPI()
app.include_router(artifacts_router.router)
with TestClient(app) as client:
@@ -93,7 +93,7 @@ def test_get_artifact_download_true_forces_attachment_for_skill_archive(tmp_path
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: skill_path)
app = make_authed_test_app()
app = FastAPI()
app.include_router(artifacts_router.router)
with TestClient(app) as client:
-654
View File
@@ -1,654 +0,0 @@
"""Tests for authentication module: JWT, password hashing, AuthContext, and authz decorators."""
from datetime import timedelta
from unittest.mock import AsyncMock, MagicMock, patch
from uuid import uuid4
import pytest
from fastapi import FastAPI, HTTPException
from fastapi.testclient import TestClient
from app.gateway.auth import create_access_token, decode_token, hash_password, verify_password
from app.gateway.auth.models import User
from app.gateway.authz import (
AuthContext,
Permissions,
get_auth_context,
require_auth,
require_permission,
)
# ── Password Hashing ────────────────────────────────────────────────────────
def test_hash_password_and_verify():
"""Hashing and verification round-trip."""
password = "s3cr3tP@ssw0rd!"
hashed = hash_password(password)
assert hashed != password
assert verify_password(password, hashed) is True
assert verify_password("wrongpassword", hashed) is False
def test_hash_password_different_each_time():
"""bcrypt generates unique salts, so same password has different hashes."""
password = "testpassword"
h1 = hash_password(password)
h2 = hash_password(password)
assert h1 != h2 # Different salts
# But both verify correctly
assert verify_password(password, h1) is True
assert verify_password(password, h2) is True
def test_verify_password_rejects_empty():
"""Empty password should not verify."""
hashed = hash_password("nonempty")
assert verify_password("", hashed) is False
# ── JWT ─────────────────────────────────────────────────────────────────────
def test_create_and_decode_token():
"""JWT creation and decoding round-trip."""
user_id = str(uuid4())
# Set a valid JWT secret for this test
import os
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(user_id)
assert isinstance(token, str)
payload = decode_token(token)
assert payload is not None
assert payload.sub == user_id
def test_decode_token_expired():
"""Expired token returns TokenError.EXPIRED."""
from app.gateway.auth.errors import TokenError
user_id = str(uuid4())
# Create token that expires immediately
token = create_access_token(user_id, expires_delta=timedelta(seconds=-1))
payload = decode_token(token)
assert payload == TokenError.EXPIRED
def test_decode_token_invalid():
"""Invalid token returns TokenError."""
from app.gateway.auth.errors import TokenError
assert isinstance(decode_token("not.a.valid.token"), TokenError)
assert isinstance(decode_token(""), TokenError)
assert isinstance(decode_token("completely-wrong"), TokenError)
def test_create_token_custom_expiry():
"""Custom expiry is respected."""
user_id = str(uuid4())
token = create_access_token(user_id, expires_delta=timedelta(hours=1))
payload = decode_token(token)
assert payload is not None
assert payload.sub == user_id
# ── AuthContext ────────────────────────────────────────────────────────────
def test_auth_context_unauthenticated():
"""AuthContext with no user."""
ctx = AuthContext(user=None, permissions=[])
assert ctx.is_authenticated is False
assert ctx.has_permission("threads", "read") is False
def test_auth_context_authenticated_no_perms():
"""AuthContext with user but no permissions."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[])
assert ctx.is_authenticated is True
assert ctx.has_permission("threads", "read") is False
def test_auth_context_has_permission():
"""AuthContext permission checking."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
perms = [Permissions.THREADS_READ, Permissions.THREADS_WRITE]
ctx = AuthContext(user=user, permissions=perms)
assert ctx.has_permission("threads", "read") is True
assert ctx.has_permission("threads", "write") is True
assert ctx.has_permission("threads", "delete") is False
assert ctx.has_permission("runs", "read") is False
def test_auth_context_require_user_raises():
"""require_user raises 401 when not authenticated."""
ctx = AuthContext(user=None, permissions=[])
with pytest.raises(HTTPException) as exc_info:
ctx.require_user()
assert exc_info.value.status_code == 401
def test_auth_context_require_user_returns_user():
"""require_user returns user when authenticated."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[])
returned = ctx.require_user()
assert returned == user
# ── get_auth_context helper ─────────────────────────────────────────────────
def test_get_auth_context_not_set():
"""get_auth_context returns None when auth not set on request."""
mock_request = MagicMock()
# Make getattr return None (simulating attribute not set)
mock_request.state = MagicMock()
del mock_request.state.auth
assert get_auth_context(mock_request) is None
def test_get_auth_context_set():
"""get_auth_context returns the AuthContext from request."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[Permissions.THREADS_READ])
mock_request = MagicMock()
mock_request.state.auth = ctx
assert get_auth_context(mock_request) == ctx
# ── require_auth decorator ──────────────────────────────────────────────────
def test_require_auth_sets_auth_context():
"""require_auth sets auth context on request from cookie."""
from fastapi import Request
app = FastAPI()
@app.get("/test")
@require_auth
async def endpoint(request: Request):
ctx = get_auth_context(request)
return {"authenticated": ctx.is_authenticated}
with TestClient(app) as client:
# No cookie → anonymous
response = client.get("/test")
assert response.status_code == 200
assert response.json()["authenticated"] is False
def test_require_auth_requires_request_param():
"""require_auth raises ValueError if request parameter is missing."""
import asyncio
@require_auth
async def bad_endpoint(): # Missing `request` parameter
pass
with pytest.raises(ValueError, match="require_auth decorator requires 'request' parameter"):
asyncio.run(bad_endpoint())
# ── require_permission decorator ─────────────────────────────────────────────
def test_require_permission_requires_auth():
"""require_permission raises 401 when not authenticated."""
from fastapi import Request
app = FastAPI()
@app.get("/test")
@require_permission("threads", "read")
async def endpoint(request: Request):
return {"ok": True}
with TestClient(app) as client:
response = client.get("/test")
assert response.status_code == 401
assert "Authentication required" in response.json()["detail"]
def test_require_permission_denies_wrong_permission():
"""User without required permission gets 403."""
from fastapi import Request
app = FastAPI()
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
@app.get("/test")
@require_permission("threads", "delete")
async def endpoint(request: Request):
return {"ok": True}
mock_auth = AuthContext(user=user, permissions=[Permissions.THREADS_READ])
with patch("app.gateway.authz._authenticate", return_value=mock_auth):
with TestClient(app) as client:
response = client.get("/test")
assert response.status_code == 403
assert "Permission denied" in response.json()["detail"]
# ── Weak JWT secret warning ──────────────────────────────────────────────────
# ── User Model Fields ──────────────────────────────────────────────────────
def test_user_model_has_needs_setup_default_false():
"""New users default to needs_setup=False."""
user = User(email="test@example.com", password_hash="hash")
assert user.needs_setup is False
def test_user_model_has_token_version_default_zero():
"""New users default to token_version=0."""
user = User(email="test@example.com", password_hash="hash")
assert user.token_version == 0
def test_user_model_needs_setup_true():
"""Auto-created admin has needs_setup=True."""
user = User(email="admin@example.com", password_hash="hash", needs_setup=True)
assert user.needs_setup is True
def test_sqlite_round_trip_new_fields():
"""needs_setup and token_version survive create → read round-trip.
Uses the shared persistence engine (same one threads_meta, runs,
run_events, and feedback use). The old separate .deer-flow/users.db
file is gone.
"""
import asyncio
import tempfile
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
async def _run() -> None:
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine,
)
with tempfile.TemporaryDirectory() as tmpdir:
url = f"sqlite+aiosqlite:///{tmpdir}/scratch.db"
await init_engine("sqlite", url=url, sqlite_dir=tmpdir)
try:
repo = SQLiteUserRepository(get_session_factory())
user = User(
email="setup@test.com",
password_hash="fakehash",
system_role="admin",
needs_setup=True,
token_version=3,
)
created = await repo.create_user(user)
assert created.needs_setup is True
assert created.token_version == 3
fetched = await repo.get_user_by_email("setup@test.com")
assert fetched is not None
assert fetched.needs_setup is True
assert fetched.token_version == 3
fetched.needs_setup = False
fetched.token_version = 4
await repo.update_user(fetched)
refetched = await repo.get_user_by_id(str(fetched.id))
assert refetched is not None
assert refetched.needs_setup is False
assert refetched.token_version == 4
finally:
await close_engine()
asyncio.run(_run())
def test_update_user_raises_when_row_concurrently_deleted(tmp_path):
"""Concurrent-delete during update_user must hard-fail, not silently no-op.
Earlier the SQLite repo returned the input unchanged when the row was
missing, making a phantom success path that admin password reset
callers (`reset_admin`, `_ensure_admin_user`) would happily log as
'password reset'. The new contract: raise ``UserNotFoundError`` so
a vanished row never looks like a successful update.
"""
import asyncio
import tempfile
from app.gateway.auth.repositories.base import UserNotFoundError
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
async def _run() -> None:
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine,
)
from deerflow.persistence.user.model import UserRow
with tempfile.TemporaryDirectory() as d:
url = f"sqlite+aiosqlite:///{d}/scratch.db"
await init_engine("sqlite", url=url, sqlite_dir=d)
try:
sf = get_session_factory()
repo = SQLiteUserRepository(sf)
user = User(
email="ghost@test.com",
password_hash="fakehash",
system_role="user",
)
created = await repo.create_user(user)
# Simulate "row vanished underneath us" by deleting the row
# via the raw ORM session, then attempt to update.
async with sf() as session:
row = await session.get(UserRow, str(created.id))
assert row is not None
await session.delete(row)
await session.commit()
created.needs_setup = True
with pytest.raises(UserNotFoundError):
await repo.update_user(created)
finally:
await close_engine()
asyncio.run(_run())
# ── Token Versioning ───────────────────────────────────────────────────────
def test_jwt_encodes_ver():
"""JWT payload includes ver field."""
import os
from app.gateway.auth.errors import TokenError
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(str(uuid4()), token_version=3)
payload = decode_token(token)
assert not isinstance(payload, TokenError)
assert payload.ver == 3
def test_jwt_default_ver_zero():
"""JWT ver defaults to 0."""
import os
from app.gateway.auth.errors import TokenError
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(str(uuid4()))
payload = decode_token(token)
assert not isinstance(payload, TokenError)
assert payload.ver == 0
def test_token_version_mismatch_rejects():
"""Token with stale ver is rejected by get_current_user_from_request."""
import asyncio
import os
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
user_id = str(uuid4())
token = create_access_token(user_id, token_version=0)
mock_user = User(id=user_id, email="test@example.com", password_hash="hash", token_version=1)
mock_request = MagicMock()
mock_request.cookies = {"access_token": token}
with patch("app.gateway.deps.get_local_provider") as mock_provider_fn:
mock_provider = MagicMock()
mock_provider.get_user = AsyncMock(return_value=mock_user)
mock_provider_fn.return_value = mock_provider
from app.gateway.deps import get_current_user_from_request
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
assert "revoked" in str(exc_info.value.detail).lower()
# ── change-password extension ──────────────────────────────────────────────
def test_change_password_request_accepts_new_email():
"""ChangePasswordRequest model accepts optional new_email."""
from app.gateway.routers.auth import ChangePasswordRequest
req = ChangePasswordRequest(
current_password="old",
new_password="newpassword",
new_email="new@example.com",
)
assert req.new_email == "new@example.com"
def test_change_password_request_new_email_optional():
"""ChangePasswordRequest model works without new_email."""
from app.gateway.routers.auth import ChangePasswordRequest
req = ChangePasswordRequest(current_password="old", new_password="newpassword")
assert req.new_email is None
def test_login_response_includes_needs_setup():
"""LoginResponse includes needs_setup field."""
from app.gateway.routers.auth import LoginResponse
resp = LoginResponse(expires_in=3600, needs_setup=True)
assert resp.needs_setup is True
resp2 = LoginResponse(expires_in=3600)
assert resp2.needs_setup is False
# ── Rate Limiting ──────────────────────────────────────────────────────────
def test_rate_limiter_allows_under_limit():
"""Requests under the limit are allowed."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts
_login_attempts.clear()
_check_rate_limit("192.168.1.1") # Should not raise
def test_rate_limiter_blocks_after_max_failures():
"""IP is blocked after 5 consecutive failures."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts, _record_login_failure
_login_attempts.clear()
ip = "10.0.0.1"
for _ in range(5):
_record_login_failure(ip)
with pytest.raises(HTTPException) as exc_info:
_check_rate_limit(ip)
assert exc_info.value.status_code == 429
def test_rate_limiter_resets_on_success():
"""Successful login clears the failure counter."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts, _record_login_failure, _record_login_success
_login_attempts.clear()
ip = "10.0.0.2"
for _ in range(4):
_record_login_failure(ip)
_record_login_success(ip)
_check_rate_limit(ip) # Should not raise
# ── Client IP extraction ─────────────────────────────────────────────────
def test_get_client_ip_direct_connection_no_proxy(monkeypatch):
"""Direct mode (no AUTH_TRUSTED_PROXIES): use TCP peer regardless of X-Real-IP."""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "203.0.113.42"
req.headers = {}
assert _get_client_ip(req) == "203.0.113.42"
def test_get_client_ip_x_real_ip_ignored_when_no_trusted_proxy(monkeypatch):
"""X-Real-IP is silently ignored if AUTH_TRUSTED_PROXIES is unset.
This closes the bypass where any client could rotate X-Real-IP per
request to dodge per-IP rate limits in dev / direct mode.
"""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "127.0.0.1"
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "127.0.0.1"
def test_get_client_ip_x_real_ip_honored_from_trusted_proxy(monkeypatch):
"""X-Real-IP is honored when the TCP peer matches AUTH_TRUSTED_PROXIES."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.5.6.7" # in trusted CIDR
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "203.0.113.42"
def test_get_client_ip_x_real_ip_rejected_from_untrusted_peer(monkeypatch):
"""X-Real-IP is rejected when the TCP peer is NOT in the trusted list."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "8.8.8.8" # NOT in trusted CIDR
req.headers = {"x-real-ip": "203.0.113.42"} # client trying to spoof
assert _get_client_ip(req) == "8.8.8.8"
def test_get_client_ip_xff_never_honored(monkeypatch):
"""X-Forwarded-For is never used; only X-Real-IP from a trusted peer."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.0.0.1"
req.headers = {"x-forwarded-for": "198.51.100.5"} # no x-real-ip
assert _get_client_ip(req) == "10.0.0.1"
def test_get_client_ip_invalid_trusted_proxy_entry_skipped(monkeypatch, caplog):
"""Garbage entries in AUTH_TRUSTED_PROXIES are warned and skipped."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "not-an-ip,10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.5.6.7"
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "203.0.113.42" # valid entry still works
def test_get_client_ip_no_client_returns_unknown(monkeypatch):
"""No request.client → 'unknown' marker (no crash)."""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client = None
req.headers = {}
assert _get_client_ip(req) == "unknown"
# ── Common-password blocklist ────────────────────────────────────────────────
def test_register_rejects_literal_password():
"""Pydantic validator rejects 'password' as a registration password."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
with pytest.raises(ValidationError) as exc:
RegisterRequest(email="x@example.com", password="password")
assert "too common" in str(exc.value)
def test_register_rejects_common_password_case_insensitive():
"""Case variants of common passwords are also rejected."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
for variant in ["PASSWORD", "Password1", "qwerty123", "letmein1"]:
with pytest.raises(ValidationError):
RegisterRequest(email="x@example.com", password=variant)
def test_register_accepts_strong_password():
"""A non-blocklisted password of length >=8 is accepted."""
from app.gateway.routers.auth import RegisterRequest
req = RegisterRequest(email="x@example.com", password="Tr0ub4dor&3-Horse")
assert req.password == "Tr0ub4dor&3-Horse"
def test_change_password_rejects_common_password():
"""The same blocklist applies to change-password."""
from pydantic import ValidationError
from app.gateway.routers.auth import ChangePasswordRequest
with pytest.raises(ValidationError):
ChangePasswordRequest(current_password="anything", new_password="iloveyou")
def test_password_blocklist_keeps_short_passwords_for_length_check():
"""Short passwords still fail the min_length check (not the blocklist)."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
with pytest.raises(ValidationError) as exc:
RegisterRequest(email="x@example.com", password="abc")
# the length check should fire, not the blocklist
assert "at least 8 characters" in str(exc.value)
# ── Weak JWT secret warning ──────────────────────────────────────────────────
def test_missing_jwt_secret_generates_ephemeral(monkeypatch, caplog):
"""get_auth_config() auto-generates an ephemeral secret when AUTH_JWT_SECRET is unset."""
import logging
import app.gateway.auth.config as config_module
config_module._auth_config = None
monkeypatch.delenv("AUTH_JWT_SECRET", raising=False)
with caplog.at_level(logging.WARNING):
config = config_module.get_auth_config()
assert config.jwt_secret # non-empty ephemeral secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
# Cleanup
config_module._auth_config = None
-54
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@@ -1,54 +0,0 @@
"""Tests for AuthConfig typed configuration."""
import os
from unittest.mock import patch
import pytest
from app.gateway.auth.config import AuthConfig
def test_auth_config_defaults():
config = AuthConfig(jwt_secret="test-secret-key-123")
assert config.token_expiry_days == 7
def test_auth_config_token_expiry_range():
AuthConfig(jwt_secret="s", token_expiry_days=1)
AuthConfig(jwt_secret="s", token_expiry_days=30)
with pytest.raises(Exception):
AuthConfig(jwt_secret="s", token_expiry_days=0)
with pytest.raises(Exception):
AuthConfig(jwt_secret="s", token_expiry_days=31)
def test_auth_config_from_env():
env = {"AUTH_JWT_SECRET": "test-jwt-secret-from-env"}
with patch.dict(os.environ, env, clear=False):
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
config = cfg.get_auth_config()
assert config.jwt_secret == "test-jwt-secret-from-env"
finally:
cfg._auth_config = old
def test_auth_config_missing_secret_generates_ephemeral(caplog):
import logging
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
with patch.dict(os.environ, {}, clear=True):
os.environ.pop("AUTH_JWT_SECRET", None)
with caplog.at_level(logging.WARNING):
config = cfg.get_auth_config()
assert config.jwt_secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
finally:
cfg._auth_config = old
-75
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@@ -1,75 +0,0 @@
"""Tests for auth error types and typed decode_token."""
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import create_access_token, decode_token
def test_auth_error_code_values():
assert AuthErrorCode.INVALID_CREDENTIALS == "invalid_credentials"
assert AuthErrorCode.TOKEN_EXPIRED == "token_expired"
assert AuthErrorCode.NOT_AUTHENTICATED == "not_authenticated"
def test_token_error_values():
assert TokenError.EXPIRED == "expired"
assert TokenError.INVALID_SIGNATURE == "invalid_signature"
assert TokenError.MALFORMED == "malformed"
def test_auth_error_response_serialization():
err = AuthErrorResponse(
code=AuthErrorCode.TOKEN_EXPIRED,
message="Token has expired",
)
d = err.model_dump()
assert d == {"code": "token_expired", "message": "Token has expired"}
def test_auth_error_response_from_dict():
d = {"code": "invalid_credentials", "message": "Wrong password"}
err = AuthErrorResponse(**d)
assert err.code == AuthErrorCode.INVALID_CREDENTIALS
# ── decode_token typed failure tests ──────────────────────────────
_TEST_SECRET = "test-secret-for-jwt-decode-token-tests"
def _setup_config():
set_auth_config(AuthConfig(jwt_secret=_TEST_SECRET))
def test_decode_token_returns_token_error_on_expired():
_setup_config()
expired_payload = {"sub": "user-1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired_payload, _TEST_SECRET, algorithm="HS256")
result = decode_token(token)
assert result == TokenError.EXPIRED
def test_decode_token_returns_token_error_on_bad_signature():
_setup_config()
payload = {"sub": "user-1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-secret", algorithm="HS256")
result = decode_token(token)
assert result == TokenError.INVALID_SIGNATURE
def test_decode_token_returns_token_error_on_malformed():
_setup_config()
result = decode_token("not-a-jwt")
assert result == TokenError.MALFORMED
def test_decode_token_returns_payload_on_valid():
_setup_config()
token = create_access_token("user-123")
result = decode_token(token)
assert not isinstance(result, TokenError)
assert result.sub == "user-123"
-222
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@@ -1,222 +0,0 @@
"""Tests for the global AuthMiddleware (fail-closed safety net)."""
import pytest
from starlette.testclient import TestClient
from app.gateway.auth_middleware import AuthMiddleware, _is_public
# ── _is_public unit tests ─────────────────────────────────────────────────
@pytest.mark.parametrize(
"path",
[
"/health",
"/health/",
"/docs",
"/docs/",
"/redoc",
"/openapi.json",
"/api/v1/auth/login/local",
"/api/v1/auth/register",
"/api/v1/auth/logout",
"/api/v1/auth/setup-status",
],
)
def test_public_paths(path: str):
assert _is_public(path) is True
@pytest.mark.parametrize(
"path",
[
"/api/models",
"/api/mcp/config",
"/api/memory",
"/api/skills",
"/api/threads/123",
"/api/threads/123/uploads",
"/api/agents",
"/api/channels",
"/api/runs/stream",
"/api/threads/123/runs",
"/api/v1/auth/me",
"/api/v1/auth/change-password",
],
)
def test_protected_paths(path: str):
assert _is_public(path) is False
# ── Trailing slash / normalization edge cases ─────────────────────────────
@pytest.mark.parametrize(
"path",
[
"/api/v1/auth/login/local/",
"/api/v1/auth/register/",
"/api/v1/auth/logout/",
"/api/v1/auth/setup-status/",
],
)
def test_public_auth_paths_with_trailing_slash(path: str):
assert _is_public(path) is True
@pytest.mark.parametrize(
"path",
[
"/api/models/",
"/api/v1/auth/me/",
"/api/v1/auth/change-password/",
],
)
def test_protected_paths_with_trailing_slash(path: str):
assert _is_public(path) is False
def test_unknown_api_path_is_protected():
"""Fail-closed: any new /api/* path is protected by default."""
assert _is_public("/api/new-feature") is False
assert _is_public("/api/v2/something") is False
assert _is_public("/api/v1/auth/new-endpoint") is False
# ── Middleware integration tests ──────────────────────────────────────────
def _make_app():
"""Create a minimal FastAPI app with AuthMiddleware for testing."""
from fastapi import FastAPI
app = FastAPI()
app.add_middleware(AuthMiddleware)
@app.get("/health")
async def health():
return {"status": "ok"}
@app.get("/api/v1/auth/me")
async def auth_me():
return {"id": "1", "email": "test@test.com"}
@app.get("/api/v1/auth/setup-status")
async def setup_status():
return {"needs_setup": False}
@app.get("/api/models")
async def models_get():
return {"models": []}
@app.put("/api/mcp/config")
async def mcp_put():
return {"ok": True}
@app.delete("/api/threads/abc")
async def thread_delete():
return {"ok": True}
@app.patch("/api/threads/abc")
async def thread_patch():
return {"ok": True}
@app.post("/api/threads/abc/runs/stream")
async def stream():
return {"ok": True}
@app.get("/api/future-endpoint")
async def future():
return {"ok": True}
return app
@pytest.fixture
def client():
return TestClient(_make_app())
def test_public_path_no_cookie(client):
res = client.get("/health")
assert res.status_code == 200
def test_public_auth_path_no_cookie(client):
"""Public auth endpoints (login/register) pass without cookie."""
res = client.get("/api/v1/auth/setup-status")
assert res.status_code == 200
def test_protected_auth_path_no_cookie(client):
"""/auth/me requires cookie even though it's under /api/v1/auth/."""
res = client.get("/api/v1/auth/me")
assert res.status_code == 401
def test_protected_path_no_cookie_returns_401(client):
res = client.get("/api/models")
assert res.status_code == 401
body = res.json()
assert body["detail"]["code"] == "not_authenticated"
def test_protected_path_with_junk_cookie_rejected(client):
"""Junk cookie → 401. Middleware strictly validates the JWT now
(AUTH_TEST_PLAN test 7.5.8); it no longer silently passes bad
tokens through to the route handler."""
res = client.get("/api/models", cookies={"access_token": "some-token"})
assert res.status_code == 401
def test_protected_post_no_cookie_returns_401(client):
res = client.post("/api/threads/abc/runs/stream")
assert res.status_code == 401
# ── Method matrix: PUT/DELETE/PATCH also protected ────────────────────────
def test_protected_put_no_cookie(client):
res = client.put("/api/mcp/config")
assert res.status_code == 401
def test_protected_delete_no_cookie(client):
res = client.delete("/api/threads/abc")
assert res.status_code == 401
def test_protected_patch_no_cookie(client):
res = client.patch("/api/threads/abc")
assert res.status_code == 401
def test_put_with_junk_cookie_rejected(client):
"""Junk cookie on PUT → 401 (strict JWT validation in middleware)."""
client.cookies.set("access_token", "tok")
res = client.put("/api/mcp/config")
assert res.status_code == 401
def test_delete_with_junk_cookie_rejected(client):
"""Junk cookie on DELETE → 401 (strict JWT validation in middleware)."""
client.cookies.set("access_token", "tok")
res = client.delete("/api/threads/abc")
assert res.status_code == 401
# ── Fail-closed: unknown future endpoints ─────────────────────────────────
def test_unknown_endpoint_no_cookie_returns_401(client):
"""Any new /api/* endpoint is blocked by default without cookie."""
res = client.get("/api/future-endpoint")
assert res.status_code == 401
def test_unknown_endpoint_with_junk_cookie_rejected(client):
"""New endpoints are also protected by strict JWT validation."""
client.cookies.set("access_token", "tok")
res = client.get("/api/future-endpoint")
assert res.status_code == 401
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@@ -1,701 +0,0 @@
"""Tests for auth type system hardening.
Covers structured error responses, typed decode_token callers,
CSRF middleware path matching, config-driven cookie security,
and unhappy paths / edge cases for all auth boundaries.
"""
import os
import secrets
from datetime import UTC, datetime, timedelta
from unittest.mock import patch
import jwt as pyjwt
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import ValidationError
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import decode_token
from app.gateway.csrf_middleware import (
CSRF_COOKIE_NAME,
CSRF_HEADER_NAME,
CSRFMiddleware,
is_auth_endpoint,
should_check_csrf,
)
# ── Setup ────────────────────────────────────────────────────────────
_TEST_SECRET = "test-secret-for-auth-type-system-tests-min32"
@pytest.fixture(autouse=True)
def _persistence_engine(tmp_path):
"""Initialise a per-test SQLite engine + reset cached provider singletons.
The auth tests call real HTTP handlers that go through
``SQLiteUserRepository`` → ``get_session_factory``. Each test gets
a fresh DB plus a clean ``deps._cached_*`` so the cached provider
does not hold a dangling reference to the previous test's engine.
"""
import asyncio
from app.gateway import deps
from deerflow.persistence.engine import close_engine, init_engine
url = f"sqlite+aiosqlite:///{tmp_path}/auth_types.db"
asyncio.run(init_engine("sqlite", url=url, sqlite_dir=str(tmp_path)))
deps._cached_local_provider = None
deps._cached_repo = None
try:
yield
finally:
deps._cached_local_provider = None
deps._cached_repo = None
asyncio.run(close_engine())
def _setup_config():
set_auth_config(AuthConfig(jwt_secret=_TEST_SECRET))
# ── CSRF Middleware Path Matching ────────────────────────────────────
class _FakeRequest:
"""Minimal request mock for CSRF path matching tests."""
def __init__(self, path: str, method: str = "POST"):
self.method = method
class _URL:
def __init__(self, p):
self.path = p
self.url = _URL(path)
self.cookies = {}
self.headers = {}
def test_csrf_exempts_login_local():
"""login/local (actual route) should be exempt from CSRF."""
req = _FakeRequest("/api/v1/auth/login/local")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_login_local_trailing_slash():
"""Trailing slash should also be exempt."""
req = _FakeRequest("/api/v1/auth/login/local/")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_logout():
req = _FakeRequest("/api/v1/auth/logout")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_register():
req = _FakeRequest("/api/v1/auth/register")
assert is_auth_endpoint(req) is True
def test_csrf_does_not_exempt_old_login_path():
"""Old /api/v1/auth/login (without /local) should NOT be exempt."""
req = _FakeRequest("/api/v1/auth/login")
assert is_auth_endpoint(req) is False
def test_csrf_does_not_exempt_me():
req = _FakeRequest("/api/v1/auth/me")
assert is_auth_endpoint(req) is False
def test_csrf_skips_get_requests():
req = _FakeRequest("/api/v1/auth/me", method="GET")
assert should_check_csrf(req) is False
def test_csrf_checks_post_to_protected():
req = _FakeRequest("/api/v1/some/endpoint", method="POST")
assert should_check_csrf(req) is True
# ── Structured Error Response Format ────────────────────────────────
def test_auth_error_response_has_code_and_message():
"""All auth errors should have structured {code, message} format."""
err = AuthErrorResponse(
code=AuthErrorCode.INVALID_CREDENTIALS,
message="Wrong password",
)
d = err.model_dump()
assert "code" in d
assert "message" in d
assert d["code"] == "invalid_credentials"
def test_auth_error_response_all_codes_serializable():
"""Every AuthErrorCode should be serializable in AuthErrorResponse."""
for code in AuthErrorCode:
err = AuthErrorResponse(code=code, message=f"Test {code.value}")
d = err.model_dump()
assert d["code"] == code.value
# ── decode_token Caller Pattern ──────────────────────────────────────
def test_decode_token_expired_maps_to_token_expired_code():
"""TokenError.EXPIRED should map to AuthErrorCode.TOKEN_EXPIRED."""
_setup_config()
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
result = decode_token(token)
assert result == TokenError.EXPIRED
# Verify the mapping pattern used in route handlers
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_EXPIRED
def test_decode_token_invalid_sig_maps_to_token_invalid_code():
"""TokenError.INVALID_SIGNATURE should map to AuthErrorCode.TOKEN_INVALID."""
_setup_config()
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-key", algorithm="HS256")
result = decode_token(token)
assert result == TokenError.INVALID_SIGNATURE
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_INVALID
def test_decode_token_malformed_maps_to_token_invalid_code():
"""TokenError.MALFORMED should map to AuthErrorCode.TOKEN_INVALID."""
_setup_config()
result = decode_token("garbage")
assert result == TokenError.MALFORMED
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_INVALID
# ── Login Response Format ────────────────────────────────────────────
def test_login_response_model_has_no_access_token():
"""LoginResponse should NOT contain access_token field (RFC-001)."""
from app.gateway.routers.auth import LoginResponse
resp = LoginResponse(expires_in=604800)
d = resp.model_dump()
assert "access_token" not in d
assert "expires_in" in d
assert d["expires_in"] == 604800
def test_login_response_model_fields():
"""LoginResponse has expires_in and needs_setup."""
from app.gateway.routers.auth import LoginResponse
fields = set(LoginResponse.model_fields.keys())
assert fields == {"expires_in", "needs_setup"}
# ── AuthConfig in Route ──────────────────────────────────────────────
def test_auth_config_token_expiry_used_in_login_response():
"""LoginResponse.expires_in should come from config.token_expiry_days."""
from app.gateway.routers.auth import LoginResponse
expected_seconds = 14 * 24 * 3600
resp = LoginResponse(expires_in=expected_seconds)
assert resp.expires_in == expected_seconds
# ── UserResponse Type Preservation ───────────────────────────────────
def test_user_response_system_role_literal():
"""UserResponse.system_role should only accept 'admin' or 'user'."""
from app.gateway.auth.models import UserResponse
# Valid roles
resp = UserResponse(id="1", email="a@b.com", system_role="admin")
assert resp.system_role == "admin"
resp = UserResponse(id="1", email="a@b.com", system_role="user")
assert resp.system_role == "user"
def test_user_response_rejects_invalid_role():
"""UserResponse should reject invalid system_role values."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com", system_role="superadmin")
# ══════════════════════════════════════════════════════════════════════
# UNHAPPY PATHS / EDGE CASES
# ══════════════════════════════════════════════════════════════════════
# ── get_current_user structured 401 responses ────────────────────────
def test_get_current_user_no_cookie_returns_not_authenticated():
"""No cookie → 401 with code=not_authenticated."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
mock_request = type("MockRequest", (), {"cookies": {}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "not_authenticated"
def test_get_current_user_expired_token_returns_token_expired():
"""Expired token → 401 with code=token_expired."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
mock_request = type("MockRequest", (), {"cookies": {"access_token": token}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_expired"
def test_get_current_user_invalid_token_returns_token_invalid():
"""Bad signature → 401 with code=token_invalid."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-secret", algorithm="HS256")
mock_request = type("MockRequest", (), {"cookies": {"access_token": token}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_invalid"
def test_get_current_user_malformed_token_returns_token_invalid():
"""Garbage token → 401 with code=token_invalid."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
mock_request = type("MockRequest", (), {"cookies": {"access_token": "not-a-jwt"}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_invalid"
# ── decode_token edge cases ──────────────────────────────────────────
def test_decode_token_empty_string_returns_malformed():
_setup_config()
result = decode_token("")
assert result == TokenError.MALFORMED
def test_decode_token_whitespace_returns_malformed():
_setup_config()
result = decode_token(" ")
assert result == TokenError.MALFORMED
# ── AuthConfig validation edge cases ─────────────────────────────────
def test_auth_config_missing_jwt_secret_raises():
"""AuthConfig requires jwt_secret — no default allowed."""
with pytest.raises(ValidationError):
AuthConfig()
def test_auth_config_token_expiry_zero_raises():
"""token_expiry_days must be >= 1."""
with pytest.raises(ValidationError):
AuthConfig(jwt_secret="secret", token_expiry_days=0)
def test_auth_config_token_expiry_31_raises():
"""token_expiry_days must be <= 30."""
with pytest.raises(ValidationError):
AuthConfig(jwt_secret="secret", token_expiry_days=31)
def test_auth_config_token_expiry_boundary_1_ok():
config = AuthConfig(jwt_secret="secret", token_expiry_days=1)
assert config.token_expiry_days == 1
def test_auth_config_token_expiry_boundary_30_ok():
config = AuthConfig(jwt_secret="secret", token_expiry_days=30)
assert config.token_expiry_days == 30
def test_get_auth_config_missing_env_var_generates_ephemeral(caplog):
"""get_auth_config() auto-generates ephemeral secret when AUTH_JWT_SECRET is unset."""
import logging
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
with patch.dict(os.environ, {}, clear=True):
os.environ.pop("AUTH_JWT_SECRET", None)
with caplog.at_level(logging.WARNING):
config = cfg.get_auth_config()
assert config.jwt_secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
finally:
cfg._auth_config = old
# ── CSRF middleware integration (unhappy paths) ──────────────────────
def _make_csrf_app():
"""Create a minimal FastAPI app with CSRFMiddleware for testing."""
from fastapi import HTTPException as _HTTPException
from fastapi.responses import JSONResponse as _JSONResponse
app = FastAPI()
@app.exception_handler(_HTTPException)
async def _http_exc_handler(request, exc):
return _JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
app.add_middleware(CSRFMiddleware)
@app.post("/api/v1/test/protected")
async def protected():
return {"ok": True}
@app.post("/api/v1/auth/login/local")
async def login():
return {"ok": True}
@app.get("/api/v1/test/read")
async def read_endpoint():
return {"ok": True}
return app
def test_csrf_middleware_blocks_post_without_token():
"""POST to protected endpoint without CSRF token → 403 with structured detail."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/test/protected")
assert resp.status_code == 403
assert "CSRF" in resp.json()["detail"]
assert "missing" in resp.json()["detail"].lower()
def test_csrf_middleware_blocks_post_with_mismatched_token():
"""POST with mismatched CSRF cookie/header → 403 with mismatch detail."""
client = TestClient(_make_csrf_app())
client.cookies.set(CSRF_COOKIE_NAME, "token-a")
resp = client.post(
"/api/v1/test/protected",
headers={CSRF_HEADER_NAME: "token-b"},
)
assert resp.status_code == 403
assert "mismatch" in resp.json()["detail"].lower()
def test_csrf_middleware_allows_post_with_matching_token():
"""POST with matching CSRF cookie/header → 200."""
client = TestClient(_make_csrf_app())
token = secrets.token_urlsafe(64)
client.cookies.set(CSRF_COOKIE_NAME, token)
resp = client.post(
"/api/v1/test/protected",
headers={CSRF_HEADER_NAME: token},
)
assert resp.status_code == 200
def test_csrf_middleware_allows_get_without_token():
"""GET requests bypass CSRF check."""
client = TestClient(_make_csrf_app())
resp = client.get("/api/v1/test/read")
assert resp.status_code == 200
def test_csrf_middleware_exempts_login_local():
"""POST to login/local is exempt from CSRF (no token yet)."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/auth/login/local")
assert resp.status_code == 200
def test_csrf_middleware_sets_cookie_on_auth_endpoint():
"""Auth endpoints should receive a CSRF cookie in response."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/auth/login/local")
assert CSRF_COOKIE_NAME in resp.cookies
# ── UserResponse edge cases ──────────────────────────────────────────
def test_user_response_missing_required_fields():
"""UserResponse with missing fields → ValidationError."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1") # missing email, system_role
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com") # missing system_role
def test_user_response_empty_string_role_rejected():
"""Empty string is not a valid role."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com", system_role="")
# ══════════════════════════════════════════════════════════════════════
# HTTP-LEVEL API CONTRACT TESTS
# ══════════════════════════════════════════════════════════════════════
def _make_auth_app():
"""Create FastAPI app with auth routes for contract testing."""
from app.gateway.app import create_app
return create_app()
def _get_auth_client():
"""Get TestClient for auth API contract tests."""
return TestClient(_make_auth_app())
def test_api_auth_me_no_cookie_returns_structured_401():
"""/api/v1/auth/me without cookie → 401 with {code: 'not_authenticated'}."""
_setup_config()
client = _get_auth_client()
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "not_authenticated"
assert "message" in body["detail"]
def test_api_auth_me_expired_token_returns_structured_401():
"""/api/v1/auth/me with expired token → 401 with {code: 'token_expired'}."""
_setup_config()
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
client = _get_auth_client()
client.cookies.set("access_token", token)
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "token_expired"
def test_api_auth_me_invalid_sig_returns_structured_401():
"""/api/v1/auth/me with bad signature → 401 with {code: 'token_invalid'}."""
_setup_config()
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-key", algorithm="HS256")
client = _get_auth_client()
client.cookies.set("access_token", token)
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "token_invalid"
def test_api_login_bad_credentials_returns_structured_401():
"""Login with wrong password → 401 with {code: 'invalid_credentials'}."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/login/local",
data={"username": "nonexistent@test.com", "password": "wrongpassword"},
)
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "invalid_credentials"
def test_api_login_success_no_token_in_body():
"""Successful login → response body has expires_in but NOT access_token."""
_setup_config()
client = _get_auth_client()
# Register first
client.post(
"/api/v1/auth/register",
json={"email": "contract-test@test.com", "password": "securepassword123"},
)
# Login
resp = client.post(
"/api/v1/auth/login/local",
data={"username": "contract-test@test.com", "password": "securepassword123"},
)
assert resp.status_code == 200
body = resp.json()
assert "expires_in" in body
assert "access_token" not in body
# Token should be in cookie, not body
assert "access_token" in resp.cookies
def test_api_register_duplicate_returns_structured_400():
"""Register with duplicate email → 400 with {code: 'email_already_exists'}."""
_setup_config()
client = _get_auth_client()
email = "dup-contract-test@test.com"
# First register
client.post("/api/v1/auth/register", json={"email": email, "password": "Tr0ub4dor3a"})
# Duplicate
resp = client.post("/api/v1/auth/register", json={"email": email, "password": "AnotherStr0ngPwd!"})
assert resp.status_code == 400
body = resp.json()
assert body["detail"]["code"] == "email_already_exists"
# ── Cookie security: HTTP vs HTTPS ────────────────────────────────────
def _unique_email(prefix: str) -> str:
return f"{prefix}-{secrets.token_hex(4)}@test.com"
def _get_set_cookie_headers(resp) -> list[str]:
"""Extract all set-cookie header values from a TestClient response."""
return [v for k, v in resp.headers.multi_items() if k.lower() == "set-cookie"]
def test_register_http_cookie_httponly_true_secure_false():
"""HTTP register → access_token cookie is httponly=True, secure=False, no max_age."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("http-cookie"), "password": "Tr0ub4dor3a"},
)
assert resp.status_code == 201
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" not in cookie_header.lower().replace("samesite", "")
def test_register_https_cookie_httponly_true_secure_true():
"""HTTPS register (x-forwarded-proto) → access_token cookie is httponly=True, secure=True, has max_age."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("https-cookie"), "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 201
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" in cookie_header.lower()
assert "max-age" in cookie_header.lower()
def test_login_https_sets_secure_cookie():
"""HTTPS login → access_token cookie has secure flag."""
_setup_config()
client = _get_auth_client()
email = _unique_email("https-login")
client.post("/api/v1/auth/register", json={"email": email, "password": "Tr0ub4dor3a"})
resp = client.post(
"/api/v1/auth/login/local",
data={"username": email, "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 200
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" in cookie_header.lower()
def test_csrf_cookie_secure_on_https():
"""HTTPS register → csrf_token cookie has secure flag but NOT httponly."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("csrf-https"), "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 201
csrf_cookies = [h for h in _get_set_cookie_headers(resp) if "csrf_token=" in h]
assert csrf_cookies, "csrf_token cookie not set on HTTPS register"
csrf_header = csrf_cookies[0]
assert "secure" in csrf_header.lower()
assert "httponly" not in csrf_header.lower()
def test_csrf_cookie_not_secure_on_http():
"""HTTP register → csrf_token cookie does NOT have secure flag."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("csrf-http"), "password": "Tr0ub4dor3a"},
)
assert resp.status_code == 201
csrf_cookies = [h for h in _get_set_cookie_headers(resp) if "csrf_token=" in h]
assert csrf_cookies, "csrf_token cookie not set on HTTP register"
csrf_header = csrf_cookies[0]
assert "secure" not in csrf_header.lower().replace("samesite", "")
+1 -2
View File
@@ -14,10 +14,9 @@ class TestCheckpointerNoneFix:
"""make_checkpointer should return InMemorySaver when config.checkpointer is None."""
from deerflow.agents.checkpointer.async_provider import make_checkpointer
# Mock get_app_config to return a config with checkpointer=None and database=None
# Mock get_app_config to return a config with checkpointer=None
mock_config = MagicMock()
mock_config.checkpointer = None
mock_config.database = None
with patch("deerflow.agents.checkpointer.async_provider.get_app_config", return_value=mock_config):
async with make_checkpointer() as checkpointer:

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