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).
134 lines
4.8 KiB
Python
134 lines
4.8 KiB
Python
"""Subagent registry for managing available subagents."""
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import logging
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from dataclasses import replace
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from deerflow.config.app_config import AppConfig
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from deerflow.sandbox.security import is_host_bash_allowed
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from deerflow.subagents.builtins import BUILTIN_SUBAGENTS
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from deerflow.subagents.config import SubagentConfig
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logger = logging.getLogger(__name__)
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def _build_custom_subagent_config(name: str, app_config: AppConfig) -> SubagentConfig | None:
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"""Build a SubagentConfig from config.yaml custom_agents section.
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Args:
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name: The name of the custom subagent.
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app_config: The resolved application config.
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Returns:
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SubagentConfig if found in custom_agents, None otherwise.
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"""
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custom = app_config.subagents.custom_agents.get(name)
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if custom is None:
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return None
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return SubagentConfig(
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name=name,
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description=custom.description,
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system_prompt=custom.system_prompt,
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tools=custom.tools,
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disallowed_tools=custom.disallowed_tools,
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skills=custom.skills,
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model=custom.model,
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max_turns=custom.max_turns,
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timeout_seconds=custom.timeout_seconds,
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)
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def get_subagent_config(name: str, app_config: AppConfig) -> SubagentConfig | None:
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"""Get a subagent configuration by name, with config.yaml overrides applied.
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Resolution order (mirrors Codex's config layering):
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1. Built-in subagents (general-purpose, bash)
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2. Custom subagents from config.yaml custom_agents section
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3. Per-agent overrides from config.yaml agents section (timeout, max_turns, model, skills)
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"""
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config = BUILTIN_SUBAGENTS.get(name)
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if config is None:
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config = _build_custom_subagent_config(name, app_config)
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if config is None:
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return None
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sub_config = app_config.subagents
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overrides: dict = {}
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# Timeout: subagents config supplies effective per-agent override or global default.
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effective_timeout = sub_config.get_timeout_for(name)
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if effective_timeout != config.timeout_seconds:
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logger.debug("Subagent '%s': timeout overridden (%ss -> %ss)", name, config.timeout_seconds, effective_timeout)
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overrides["timeout_seconds"] = effective_timeout
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# Max turns: subagents config supplies effective per-agent override or global default
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# (falls back to ``config.max_turns`` when no override is configured).
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effective_max_turns = sub_config.get_max_turns_for(name, config.max_turns)
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if effective_max_turns != config.max_turns:
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logger.debug("Subagent '%s': max_turns overridden (%s -> %s)", name, config.max_turns, effective_max_turns)
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overrides["max_turns"] = effective_max_turns
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# Model: per-agent override only (no global default for model)
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effective_model = sub_config.get_model_for(name)
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if effective_model is not None and effective_model != config.model:
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logger.debug("Subagent '%s': model overridden (%s -> %s)", name, config.model, effective_model)
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overrides["model"] = effective_model
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# Skills: per-agent override only (no global default for skills)
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effective_skills = sub_config.get_skills_for(name)
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if effective_skills is not None and effective_skills != config.skills:
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logger.debug("Subagent '%s': skills overridden (%s -> %s)", name, config.skills, effective_skills)
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overrides["skills"] = effective_skills
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if overrides:
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config = replace(config, **overrides)
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return config
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def list_subagents(app_config: AppConfig) -> list[SubagentConfig]:
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"""List all available subagent configurations (with config.yaml overrides applied).
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Returns:
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List of all registered SubagentConfig instances (built-in + custom).
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"""
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configs: list[SubagentConfig] = []
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for name in get_subagent_names(app_config):
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config = get_subagent_config(name, app_config)
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if config is not None:
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configs.append(config)
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return configs
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def get_subagent_names(app_config: AppConfig) -> list[str]:
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"""Get all available subagent names (built-in + custom).
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Returns:
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List of subagent names.
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"""
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names = list(BUILTIN_SUBAGENTS.keys())
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for custom_name in app_config.subagents.custom_agents:
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if custom_name not in names:
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names.append(custom_name)
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return names
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def get_available_subagent_names(app_config: AppConfig) -> list[str]:
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"""Get subagent names that should be exposed to the active runtime.
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Returns:
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List of subagent names visible to the current sandbox configuration.
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"""
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names = get_subagent_names(app_config)
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try:
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host_bash_allowed = is_host_bash_allowed(app_config)
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except Exception:
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logger.debug("Could not determine host bash availability; exposing all subagents")
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return names
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if not host_bash_allowed:
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names = [name for name in names if name != "bash"]
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return names
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