feat: lite deep researcher implementation

This commit is contained in:
He Tao
2025-04-07 16:25:55 +08:00
commit 03798ded08
58 changed files with 4242 additions and 0 deletions

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import os
from dataclasses import dataclass, fields
from typing import Any, Optional
from langchain_core.runnables import RunnableConfig
@dataclass(kw_only=True)
class Configuration:
"""The configurable fields."""
max_plan_iterations: int = 2 # Maximum number of plan iterations
max_step_num: int = 5 # Maximum number of steps in a plan
@classmethod
def from_runnable_config(
cls, config: Optional[RunnableConfig] = None
) -> "Configuration":
"""Create a Configuration instance from a RunnableConfig."""
configurable = (
config["configurable"] if config and "configurable" in config else {}
)
values: dict[str, Any] = {
f.name: os.environ.get(f.name.upper(), configurable.get(f.name))
for f in fields(cls)
if f.init
}
return cls(**{k: v for k, v in values.items() if v})