greatmengqi
3e6a34297d
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).
97 lines
2.5 KiB
Python
97 lines
2.5 KiB
Python
"""
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Web Search Tool - Search the web using DuckDuckGo (no API key required).
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"""
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import json
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import logging
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from langchain.tools import ToolRuntime, tool
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from deerflow.config.deer_flow_context import resolve_context
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logger = logging.getLogger(__name__)
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def _search_text(
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query: str,
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max_results: int = 5,
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region: str = "wt-wt",
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safesearch: str = "moderate",
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) -> list[dict]:
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"""
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Execute text search using DuckDuckGo.
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Args:
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query: Search keywords
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max_results: Maximum number of results
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region: Search region
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safesearch: Safe search level
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Returns:
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List of search results
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"""
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try:
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from ddgs import DDGS
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except ImportError:
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logger.error("ddgs library not installed. Run: pip install ddgs")
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return []
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ddgs = DDGS(timeout=30)
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try:
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results = ddgs.text(
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query,
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region=region,
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safesearch=safesearch,
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max_results=max_results,
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)
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return list(results) if results else []
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except Exception as e:
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logger.error(f"Failed to search web: {e}")
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return []
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@tool("web_search", parse_docstring=True)
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def web_search_tool(
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query: str,
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runtime: ToolRuntime,
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max_results: int = 5,
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) -> str:
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"""Search the web for information. Use this tool to find current information, news, articles, and facts from the internet.
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Args:
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query: Search keywords describing what you want to find. Be specific for better results.
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max_results: Maximum number of results to return. Default is 5.
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"""
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tool_config = resolve_context(runtime).app_config.get_tool_config("web_search")
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# Override max_results from config if set
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if tool_config is not None and "max_results" in tool_config.model_extra:
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max_results = tool_config.model_extra.get("max_results", max_results)
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results = _search_text(
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query=query,
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max_results=max_results,
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)
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if not results:
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return json.dumps({"error": "No results found", "query": query}, ensure_ascii=False)
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normalized_results = [
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{
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"title": r.get("title", ""),
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"url": r.get("href", r.get("link", "")),
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"content": r.get("body", r.get("snippet", "")),
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}
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for r in results
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]
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output = {
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"query": query,
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"total_results": len(normalized_results),
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"results": normalized_results,
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}
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return json.dumps(output, indent=2, ensure_ascii=False)
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