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).
156 lines
5.0 KiB
Python
156 lines
5.0 KiB
Python
import os
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import threading
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from pydantic import BaseModel, ConfigDict, Field
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_config_lock = threading.Lock()
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class LangSmithTracingConfig(BaseModel):
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"""Configuration for LangSmith tracing."""
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model_config = ConfigDict(frozen=True)
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enabled: bool = Field(...)
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api_key: str | None = Field(...)
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project: str = Field(...)
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endpoint: str = Field(...)
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@property
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def is_configured(self) -> bool:
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return self.enabled and bool(self.api_key)
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def validate(self) -> None:
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if self.enabled and not self.api_key:
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raise ValueError("LangSmith tracing is enabled but LANGSMITH_API_KEY (or LANGCHAIN_API_KEY) is not set.")
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class LangfuseTracingConfig(BaseModel):
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"""Configuration for Langfuse tracing."""
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model_config = ConfigDict(frozen=True)
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enabled: bool = Field(...)
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public_key: str | None = Field(...)
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secret_key: str | None = Field(...)
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host: str = Field(...)
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@property
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def is_configured(self) -> bool:
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return self.enabled and bool(self.public_key) and bool(self.secret_key)
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def validate(self) -> None:
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if not self.enabled:
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return
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missing: list[str] = []
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if not self.public_key:
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missing.append("LANGFUSE_PUBLIC_KEY")
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if not self.secret_key:
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missing.append("LANGFUSE_SECRET_KEY")
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if missing:
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raise ValueError(f"Langfuse tracing is enabled but required settings are missing: {', '.join(missing)}")
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class TracingConfig(BaseModel):
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"""Tracing configuration for supported providers."""
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model_config = ConfigDict(frozen=True)
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langsmith: LangSmithTracingConfig = Field(...)
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langfuse: LangfuseTracingConfig = Field(...)
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@property
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def is_configured(self) -> bool:
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return bool(self.enabled_providers)
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@property
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def explicitly_enabled_providers(self) -> list[str]:
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enabled: list[str] = []
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if self.langsmith.enabled:
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enabled.append("langsmith")
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if self.langfuse.enabled:
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enabled.append("langfuse")
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return enabled
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@property
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def enabled_providers(self) -> list[str]:
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enabled: list[str] = []
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if self.langsmith.is_configured:
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enabled.append("langsmith")
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if self.langfuse.is_configured:
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enabled.append("langfuse")
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return enabled
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def validate_enabled(self) -> None:
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self.langsmith.validate()
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self.langfuse.validate()
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_tracing_config: TracingConfig | None = None
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_TRUTHY_VALUES = {"1", "true", "yes", "on"}
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def _env_flag_preferred(*names: str) -> bool:
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"""Return the boolean value of the first env var that is present and non-empty."""
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for name in names:
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value = os.environ.get(name)
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if value is not None and value.strip():
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return value.strip().lower() in _TRUTHY_VALUES
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return False
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def _first_env_value(*names: str) -> str | None:
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"""Return the first non-empty environment value from candidate names."""
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for name in names:
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value = os.environ.get(name)
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if value and value.strip():
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return value.strip()
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return None
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def get_tracing_config() -> TracingConfig:
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"""Get the current tracing configuration from environment variables."""
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global _tracing_config
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if _tracing_config is not None:
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return _tracing_config
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with _config_lock:
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if _tracing_config is not None:
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return _tracing_config
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_tracing_config = TracingConfig(
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langsmith=LangSmithTracingConfig(
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enabled=_env_flag_preferred("LANGSMITH_TRACING", "LANGCHAIN_TRACING_V2", "LANGCHAIN_TRACING"),
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api_key=_first_env_value("LANGSMITH_API_KEY", "LANGCHAIN_API_KEY"),
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project=_first_env_value("LANGSMITH_PROJECT", "LANGCHAIN_PROJECT") or "deer-flow",
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endpoint=_first_env_value("LANGSMITH_ENDPOINT", "LANGCHAIN_ENDPOINT") or "https://api.smith.langchain.com",
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),
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langfuse=LangfuseTracingConfig(
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enabled=_env_flag_preferred("LANGFUSE_TRACING"),
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public_key=_first_env_value("LANGFUSE_PUBLIC_KEY"),
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secret_key=_first_env_value("LANGFUSE_SECRET_KEY"),
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host=_first_env_value("LANGFUSE_BASE_URL") or "https://cloud.langfuse.com",
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),
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)
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return _tracing_config
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def get_enabled_tracing_providers() -> list[str]:
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"""Return the configured tracing providers that are enabled and complete."""
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return get_tracing_config().enabled_providers
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def get_explicitly_enabled_tracing_providers() -> list[str]:
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"""Return tracing providers explicitly enabled by config, even if incomplete."""
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return get_tracing_config().explicitly_enabled_providers
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def validate_enabled_tracing_providers() -> None:
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"""Validate that any explicitly enabled providers are fully configured."""
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get_tracing_config().validate_enabled()
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def is_tracing_enabled() -> bool:
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"""Check if any tracing provider is enabled and fully configured."""
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return get_tracing_config().is_configured
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