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https://gitee.com/wanwujie/deer-flow
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d24a66ffd3
* Initial plan * refactor: centralize path management and improve memory storage configuration * fix: update memory storage path in config.example.yaml for clarity * Initial plan * Address PR #901 review comments: security fixes and documentation improvements Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com>
79 lines
2.3 KiB
Python
79 lines
2.3 KiB
Python
"""Configuration for memory mechanism."""
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from pydantic import BaseModel, Field
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class MemoryConfig(BaseModel):
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"""Configuration for global memory mechanism."""
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enabled: bool = Field(
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default=True,
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description="Whether to enable memory mechanism",
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)
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storage_path: str = Field(
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default="",
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description=(
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"Path to store memory data. "
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"If empty, defaults to `{base_dir}/memory.json` (see Paths.memory_file). "
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"Absolute paths are used as-is. "
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"Relative paths are resolved against `Paths.base_dir` "
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"(not the backend working directory). "
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"Note: if you previously set this to `.deer-flow/memory.json`, "
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"the file will now be resolved as `{base_dir}/.deer-flow/memory.json`; "
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"migrate existing data or use an absolute path to preserve the old location."
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),
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)
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debounce_seconds: int = Field(
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default=30,
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ge=1,
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le=300,
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description="Seconds to wait before processing queued updates (debounce)",
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)
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model_name: str | None = Field(
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default=None,
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description="Model name to use for memory updates (None = use default model)",
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)
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max_facts: int = Field(
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default=100,
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ge=10,
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le=500,
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description="Maximum number of facts to store",
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)
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fact_confidence_threshold: float = Field(
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default=0.7,
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ge=0.0,
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le=1.0,
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description="Minimum confidence threshold for storing facts",
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)
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injection_enabled: bool = Field(
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default=True,
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description="Whether to inject memory into system prompt",
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)
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max_injection_tokens: int = Field(
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default=2000,
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ge=100,
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le=8000,
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description="Maximum tokens to use for memory injection",
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)
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# Global configuration instance
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_memory_config: MemoryConfig = MemoryConfig()
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def get_memory_config() -> MemoryConfig:
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"""Get the current memory configuration."""
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return _memory_config
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def set_memory_config(config: MemoryConfig) -> None:
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"""Set the memory configuration."""
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global _memory_config
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_memory_config = config
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def load_memory_config_from_dict(config_dict: dict) -> None:
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"""Load memory configuration from a dictionary."""
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global _memory_config
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_memory_config = MemoryConfig(**config_dict)
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