mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-05-23 16:35:59 +00:00
refactor(config): eliminate global mutable state — explicit parameter passing on top of main
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
This commit is contained in:
@@ -2,7 +2,7 @@ import logging
|
||||
|
||||
from langchain.tools import BaseTool
|
||||
|
||||
from deerflow.config import get_app_config
|
||||
from deerflow.config.app_config import AppConfig
|
||||
from deerflow.reflection import resolve_variable
|
||||
from deerflow.sandbox.security import is_host_bash_allowed
|
||||
from deerflow.tools.builtins import ask_clarification_tool, present_file_tool, task_tool, view_image_tool
|
||||
@@ -37,6 +37,8 @@ def get_available_tools(
|
||||
include_mcp: bool = True,
|
||||
model_name: str | None = None,
|
||||
subagent_enabled: bool = False,
|
||||
*,
|
||||
app_config: AppConfig,
|
||||
) -> list[BaseTool]:
|
||||
"""Get all available tools from config.
|
||||
|
||||
@@ -48,11 +50,12 @@ def get_available_tools(
|
||||
include_mcp: Whether to include tools from MCP servers (default: True).
|
||||
model_name: Optional model name to determine if vision tools should be included.
|
||||
subagent_enabled: Whether to include subagent tools (task, task_status).
|
||||
app_config: Application config — required.
|
||||
|
||||
Returns:
|
||||
List of available tools.
|
||||
"""
|
||||
config = get_app_config()
|
||||
config = app_config
|
||||
tool_configs = [tool for tool in config.tools if groups is None or tool.group in groups]
|
||||
|
||||
# Do not expose host bash by default when LocalSandboxProvider is active.
|
||||
@@ -138,10 +141,9 @@ def get_available_tools(
|
||||
# Add invoke_acp_agent tool if any ACP agents are configured
|
||||
acp_tools: list[BaseTool] = []
|
||||
try:
|
||||
from deerflow.config.acp_config import get_acp_agents
|
||||
from deerflow.tools.builtins.invoke_acp_agent_tool import build_invoke_acp_agent_tool
|
||||
|
||||
acp_agents = get_acp_agents()
|
||||
acp_agents = config.acp_agents
|
||||
if acp_agents:
|
||||
acp_tools.append(build_invoke_acp_agent_tool(acp_agents))
|
||||
logger.info(f"Including invoke_acp_agent tool ({len(acp_agents)} agent(s): {list(acp_agents.keys())})")
|
||||
|
||||
Reference in New Issue
Block a user