mirror of
https://github.com/bytedance/deer-flow.git
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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).
57 lines
1.4 KiB
TOML
57 lines
1.4 KiB
TOML
[project]
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name = "deerflow-harness"
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version = "0.1.0"
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description = "DeerFlow agent harness framework"
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requires-python = ">=3.12"
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dependencies = [
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"agent-client-protocol>=0.4.0",
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"agent-sandbox>=0.0.19",
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"dotenv>=0.9.9",
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"exa-py>=1.0.0",
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"httpx>=0.28.0",
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"kubernetes>=30.0.0",
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"langchain>=1.2.3",
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"langchain-anthropic>=1.3.4",
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"langchain-deepseek>=1.0.1",
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"langchain-mcp-adapters>=0.1.0",
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"langchain-openai>=1.1.7",
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"langfuse>=3.4.1",
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"langgraph>=1.0.6,<1.0.10",
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"langgraph-api>=0.7.0,<0.8.0",
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"langgraph-cli>=0.4.14",
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"langgraph-runtime-inmem>=0.22.1",
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"markdownify>=1.2.2",
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"markitdown[all,xlsx]>=0.0.1a2",
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"pydantic>=2.12.5",
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"pyyaml>=6.0.3",
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"readabilipy>=0.3.0",
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"tavily-python>=0.7.17",
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"firecrawl-py>=1.15.0",
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"tiktoken>=0.8.0",
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"ddgs>=9.10.0",
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"duckdb>=1.4.4",
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"langchain-google-genai>=4.2.1",
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"langgraph-checkpoint-sqlite>=3.0.3",
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"langgraph-sdk>=0.1.51",
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"sqlalchemy[asyncio]>=2.0,<3.0",
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"aiosqlite>=0.19",
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"alembic>=1.13",
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]
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[project.optional-dependencies]
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ollama = ["langchain-ollama>=0.3.0"]
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postgres = [
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"asyncpg>=0.29",
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"langgraph-checkpoint-postgres>=3.0.5",
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"psycopg[binary]>=3.3.3",
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"psycopg-pool>=3.3.0",
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]
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pymupdf = ["pymupdf4llm>=0.0.17"]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["deerflow"]
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