Files
2026-07-13 12:58:18 +08:00

50 lines
1.7 KiB
Python

from langchain_core.tools import tool
from pydantic import BaseModel, Field
from tavily import AsyncTavilyClient
from typing import List, Optional, Dict
from copilotkit.langchain import copilotkit_emit_state
from langchain_core.runnables import RunnableConfig
tavily_client = AsyncTavilyClient()
class TavilyExtractInput(BaseModel):
urls: List[str] = Field(
description="List of a single or several URLs for extracting raw content to gather additional information"
)
state: Optional[Dict] = Field(description="State of the research")
@tool("tavily_extract", args_schema=TavilyExtractInput, return_direct=True)
async def tavily_extract(urls, state):
"""Perform full scrape to a provided list of urls."""
try:
response = await tavily_client.extract(urls=urls)
results = response["results"]
# Match and add raw_content to urls in state
tool_msg = "Extracted raw content to gather additional information from the following sources:\n"
for itm in results:
url = itm["url"]
raw_content = itm["raw_content"]
if url in state["sources"]:
state["sources"][url]["raw_content"] = raw_content
else:
state["sources"][url] = {"raw_content": raw_content}
tool_msg += f"{url}\n"
config = RunnableConfig()
state["logs"] = state.get("logs", [])
state["logs"].append(
{
"message": "🚀 Extracting additional content from valuable sources",
"done": True,
}
)
await copilotkit_emit_state(config, state)
return state, tool_msg
except Exception as e:
print(f"Error occurred during extract: {str(e)}")
return state, ""