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).
86 lines
3.8 KiB
Python
86 lines
3.8 KiB
Python
from pydantic import BaseModel, ConfigDict, Field
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class VolumeMountConfig(BaseModel):
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"""Configuration for a volume mount."""
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model_config = ConfigDict(frozen=True)
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host_path: str = Field(..., description="Path on the host machine")
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container_path: str = Field(..., description="Path inside the container")
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read_only: bool = Field(default=False, description="Whether the mount is read-only")
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class SandboxConfig(BaseModel):
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"""Config section for a sandbox.
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Common options:
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use: Class path of the sandbox provider (required)
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allow_host_bash: Enable host-side bash execution for LocalSandboxProvider.
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Dangerous and intended only for fully trusted local workflows.
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AioSandboxProvider specific options:
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image: Docker image to use (default: enterprise-public-cn-beijing.cr.volces.com/vefaas-public/all-in-one-sandbox:latest)
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port: Base port for sandbox containers (default: 8080)
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replicas: Maximum number of concurrent sandbox containers (default: 3). When the limit is reached the least-recently-used sandbox is evicted to make room.
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container_prefix: Prefix for container names (default: deer-flow-sandbox)
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idle_timeout: Idle timeout in seconds before sandbox is released (default: 600 = 10 minutes). Set to 0 to disable.
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mounts: List of volume mounts to share directories with the container
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environment: Environment variables to inject into the container (values starting with $ are resolved from host env)
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"""
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use: str = Field(
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...,
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description="Class path of the sandbox provider (e.g. deerflow.sandbox.local:LocalSandboxProvider)",
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)
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allow_host_bash: bool = Field(
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default=False,
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description="Allow the bash tool to execute directly on the host when using LocalSandboxProvider. Dangerous; intended only for fully trusted local environments.",
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)
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image: str | None = Field(
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default=None,
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description="Docker image to use for the sandbox container",
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)
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port: int | None = Field(
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default=None,
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description="Base port for sandbox containers",
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)
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replicas: int | None = Field(
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default=None,
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description="Maximum number of concurrent sandbox containers (default: 3). When the limit is reached the least-recently-used sandbox is evicted to make room.",
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)
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container_prefix: str | None = Field(
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default=None,
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description="Prefix for container names",
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)
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idle_timeout: int | None = Field(
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default=None,
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description="Idle timeout in seconds before sandbox is released (default: 600 = 10 minutes). Set to 0 to disable.",
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)
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mounts: list[VolumeMountConfig] = Field(
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default_factory=list,
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description="List of volume mounts to share directories between host and container",
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)
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environment: dict[str, str] = Field(
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default_factory=dict,
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description="Environment variables to inject into the sandbox container. Values starting with $ will be resolved from host environment variables.",
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)
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bash_output_max_chars: int = Field(
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default=20000,
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ge=0,
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description="Maximum characters to keep from bash tool output. Output exceeding this limit is middle-truncated (head + tail), preserving the first and last half. Set to 0 to disable truncation.",
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)
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read_file_output_max_chars: int = Field(
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default=50000,
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ge=0,
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description="Maximum characters to keep from read_file tool output. Output exceeding this limit is head-truncated. Set to 0 to disable truncation.",
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)
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ls_output_max_chars: int = Field(
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default=20000,
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ge=0,
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description="Maximum characters to keep from ls tool output. Output exceeding this limit is head-truncated. Set to 0 to disable truncation.",
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)
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model_config = ConfigDict(extra="allow", frozen=True)
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