Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection hardening: - New deerflow.security package: content_delimiter, html_cleaner, sanitizer (8 layers — invisible chars, control chars, symbols, NFC, PUA, tag chars, horizontal whitespace collapse with newline/tab preservation, length cap) - New deerflow.community.searx package: web_search, web_fetch, image_search backed by a private SearX instance, every external string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>> delimiters - All native community web providers (ddg_search, tavily, exa, firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail stubs that raise NativeWebToolDisabledError at import time, so a misconfigured tool.use path fails loud rather than silently falling back to unsanitized output - Native client back-doors (jina_client.py, infoquest_client.py) stubbed too - Native-tool tests quarantined under tests/_disabled_native/ (collect_ignore_glob via local conftest.py) - Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve newlines and tabs so list/table structure survives - Hardened runtime config.yaml references only the searx-backed tools - Factory overlay (backend/) kept in sync with deer-flow tree as a reference / source See HARDENING.md for the full audit trail and verification steps.
126 lines
3.7 KiB
Python
126 lines
3.7 KiB
Python
"""Configuration and loaders for custom agents."""
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import logging
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import re
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from typing import Any
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import yaml
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from pydantic import BaseModel
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from deerflow.config.paths import get_paths
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logger = logging.getLogger(__name__)
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SOUL_FILENAME = "SOUL.md"
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AGENT_NAME_PATTERN = re.compile(r"^[A-Za-z0-9-]+$")
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class AgentConfig(BaseModel):
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"""Configuration for a custom agent."""
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name: str
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description: str = ""
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model: str | None = None
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tool_groups: list[str] | None = None
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# skills controls which skills are loaded into the agent's prompt:
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# - None (or omitted): load all enabled skills (default fallback behavior)
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# - [] (explicit empty list): disable all skills
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# - ["skill1", "skill2"]: load only the specified skills
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skills: list[str] | None = None
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def load_agent_config(name: str | None) -> AgentConfig | None:
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"""Load the custom or default agent's config from its directory.
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Args:
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name: The agent name.
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Returns:
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AgentConfig instance.
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Raises:
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FileNotFoundError: If the agent directory or config.yaml does not exist.
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ValueError: If config.yaml cannot be parsed.
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"""
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if name is None:
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return None
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if not AGENT_NAME_PATTERN.match(name):
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raise ValueError(f"Invalid agent name '{name}'. Must match pattern: {AGENT_NAME_PATTERN.pattern}")
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agent_dir = get_paths().agent_dir(name)
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config_file = agent_dir / "config.yaml"
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if not agent_dir.exists():
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raise FileNotFoundError(f"Agent directory not found: {agent_dir}")
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if not config_file.exists():
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raise FileNotFoundError(f"Agent config not found: {config_file}")
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try:
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with open(config_file, encoding="utf-8") as f:
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data: dict[str, Any] = yaml.safe_load(f) or {}
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except yaml.YAMLError as e:
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raise ValueError(f"Failed to parse agent config {config_file}: {e}") from e
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# Ensure name is set from directory name if not in file
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if "name" not in data:
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data["name"] = name
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# Strip unknown fields before passing to Pydantic (e.g. legacy prompt_file)
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known_fields = set(AgentConfig.model_fields.keys())
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data = {k: v for k, v in data.items() if k in known_fields}
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return AgentConfig(**data)
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def load_agent_soul(agent_name: str | None) -> str | None:
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"""Read the SOUL.md file for a custom agent, if it exists.
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SOUL.md defines the agent's personality, values, and behavioral guardrails.
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It is injected into the lead agent's system prompt as additional context.
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Args:
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agent_name: The name of the agent or None for the default agent.
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Returns:
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The SOUL.md content as a string, or None if the file does not exist.
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"""
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agent_dir = get_paths().agent_dir(agent_name) if agent_name else get_paths().base_dir
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soul_path = agent_dir / SOUL_FILENAME
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if not soul_path.exists():
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return None
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content = soul_path.read_text(encoding="utf-8").strip()
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return content or None
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def list_custom_agents() -> list[AgentConfig]:
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"""Scan the agents directory and return all valid custom agents.
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Returns:
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List of AgentConfig for each valid agent directory found.
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"""
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agents_dir = get_paths().agents_dir
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if not agents_dir.exists():
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return []
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agents: list[AgentConfig] = []
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for entry in sorted(agents_dir.iterdir()):
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if not entry.is_dir():
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continue
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config_file = entry / "config.yaml"
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if not config_file.exists():
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logger.debug(f"Skipping {entry.name}: no config.yaml")
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continue
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try:
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agent_cfg = load_agent_config(entry.name)
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agents.append(agent_cfg)
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except Exception as e:
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logger.warning(f"Skipping agent '{entry.name}': {e}")
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return agents
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