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).
94 lines
4.1 KiB
Python
94 lines
4.1 KiB
Python
from langchain.tools import ToolRuntime, tool
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from deerflow.config.app_config import AppConfig
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from deerflow.config.deer_flow_context import resolve_context
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from deerflow.utils.readability import ReadabilityExtractor
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from .infoquest_client import InfoQuestClient
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readability_extractor = ReadabilityExtractor()
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def _get_infoquest_client(app_config: AppConfig) -> InfoQuestClient:
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search_config = app_config.get_tool_config("web_search")
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search_time_range = -1
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if search_config is not None and "search_time_range" in search_config.model_extra:
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search_time_range = search_config.model_extra.get("search_time_range")
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fetch_config = app_config.get_tool_config("web_fetch")
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fetch_time = -1
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if fetch_config is not None and "fetch_time" in fetch_config.model_extra:
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fetch_time = fetch_config.model_extra.get("fetch_time")
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fetch_timeout = -1
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if fetch_config is not None and "timeout" in fetch_config.model_extra:
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fetch_timeout = fetch_config.model_extra.get("timeout")
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navigation_timeout = -1
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if fetch_config is not None and "navigation_timeout" in fetch_config.model_extra:
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navigation_timeout = fetch_config.model_extra.get("navigation_timeout")
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image_search_config = app_config.get_tool_config("image_search")
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image_search_time_range = -1
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if image_search_config is not None and "image_search_time_range" in image_search_config.model_extra:
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image_search_time_range = image_search_config.model_extra.get("image_search_time_range")
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image_size = "i"
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if image_search_config is not None and "image_size" in image_search_config.model_extra:
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image_size = image_search_config.model_extra.get("image_size")
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return InfoQuestClient(
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search_time_range=search_time_range,
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fetch_timeout=fetch_timeout,
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fetch_navigation_timeout=navigation_timeout,
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fetch_time=fetch_time,
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image_search_time_range=image_search_time_range,
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image_size=image_size,
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)
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@tool("web_search", parse_docstring=True)
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def web_search_tool(query: str, runtime: ToolRuntime) -> str:
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"""Search the web.
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Args:
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query: The query to search for.
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"""
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client = _get_infoquest_client(resolve_context(runtime).app_config)
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return client.web_search(query)
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@tool("web_fetch", parse_docstring=True)
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def web_fetch_tool(url: str, runtime: ToolRuntime) -> str:
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"""Fetch the contents of a web page at a given URL.
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Only fetch EXACT URLs that have been provided directly by the user or have been returned in results from the web_search and web_fetch tools.
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This tool can NOT access content that requires authentication, such as private Google Docs or pages behind login walls.
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Do NOT add www. to URLs that do NOT have them.
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URLs must include the schema: https://example.com is a valid URL while example.com is an invalid URL.
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Args:
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url: The URL to fetch the contents of.
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"""
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client = _get_infoquest_client(resolve_context(runtime).app_config)
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result = client.fetch(url)
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if result.startswith("Error: "):
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return result
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article = readability_extractor.extract_article(result)
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return article.to_markdown()[:4096]
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@tool("image_search", parse_docstring=True)
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def image_search_tool(query: str, runtime: ToolRuntime) -> str:
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"""Search for images online. Use this tool BEFORE image generation to find reference images for characters, portraits, objects, scenes, or any content requiring visual accuracy.
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**When to use:**
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- Before generating character/portrait images: search for similar poses, expressions, styles
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- Before generating specific objects/products: search for accurate visual references
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- Before generating scenes/locations: search for architectural or environmental references
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- Before generating fashion/clothing: search for style and detail references
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The returned image URLs can be used as reference images in image generation to significantly improve quality.
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Args:
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query: The query to search for images.
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"""
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client = _get_infoquest_client(resolve_context(runtime).app_config)
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return client.image_search(query)
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