如何在 Pica 中设置 Bright Data

import os
from langchain_openai import ChatOpenAI
from langchain.agents import AgentType
from pica_langchain import PicaClient, create_pica_agent
from pica_langchain.models import PicaClientOptions

def main():
  try:
      pica_client = PicaClient(
          secret=os.environ["PICA_SECRET"],
          options=PicaClientOptions(
              connectors=["test::bright-data::default::fd583f2344fa414293bdda4f240258c1"] # Initialize all available connections or pass specific connector keys
          )
      )

      pica_client.initialize()
      
      llm = ChatOpenAI(
          temperature=0,
          model="gpt-4o",
      )

      # Create an agent with Pica tools
      agent = create_pica_agent(
          client=pica_client,
          llm=llm,
          agent_type=AgentType.OPENAI_FUNCTIONS,
      )

      # Execute a multi-step workflow using the GitHub Connector
      result = agent.invoke({
          "input": (
              "Trigger Synchronous Web Scraping and Retrieve Results, use this dataset ID : gd_l7q7dkf244hwjntr0 and search for this URL : https://www.amazon.com/dp/B0D2Q9397Y?th=1&psc=1"
          )
      })
      
      print(f"\nWorkflow Result:\n {result}")
  
  except Exception as e:
      print(f"ERROR: An unexpected error occurred: {e}")


if __name__ == "__main__":
  main()

import os
from langchain_openai import ChatOpenAI
from langchain.agents import AgentType
from pica_langchain import PicaClient, create_pica_agent
from pica_langchain.models import PicaClientOptions

def main():
  try:
      pica_client = PicaClient(
          secret=os.environ["PICA_SECRET"],
          options=PicaClientOptions(
              connectors=["test::bright-data::default::fd583f2344fa414293bdda4f240258c1"] # Initialize all available connections or pass specific connector keys
          )
      )

      pica_client.initialize()
      
      llm = ChatOpenAI(
          temperature=0,
          model="gpt-4o",
      )

      # Create an agent with Pica tools
      agent = create_pica_agent(
          client=pica_client,
          llm=llm,
          agent_type=AgentType.OPENAI_FUNCTIONS,
      )

      # Execute a multi-step workflow using the GitHub Connector
      result = agent.invoke({
          "input": (
              "Unlock this site and provide me with the data : https://www.amazon.com/dp/B0D2Q9397Y?th=1&psc=1"
          )
      })
      
      print(f"\nWorkflow Result:\n {result}")
  
  except Exception as e:
      print(f"ERROR: An unexpected error occurred: {e}")


if __name__ == "__main__":
  main()