uipath-langchain

import os from uipath_langchain.tool_interfaces import UiPathTools # Configure UiPath LangChain integration # Replace with your actual values or ensure environment variables are set. # These are placeholders and must be valid for the integration to work. os.environ["LANGCHAIN_API_KEY"] = os.environ.get("LANGCHAIN_API_KEY", "your_langchain_api_key_here") os.environ["LANGCHAIN_API_URL"] = os.environ.get("LANGCHAIN_API_URL", "https://cloud.uipath.com/langchain_api") os.environ["UIPATH_AGENT_ID"] = os.environ.get("UIPATH_AGENT_ID", "your_uipath_agent_id_here") print("Attempting to initialize UiPathTools...") try: uipath_tools = UiPathTools() available_tools = uipath_tools.get_available_tools() print(f"\nSuccessfully initialized UiPathTools. Found {len(available_tools)} tools.") for tool in available_tools: print(f"- Tool Name: {tool.name}, Description: {tool.description}") print("\nFor full agent integration, you would typically integrate these tools with a LangChain LLM and AgentExecutor.") print("Example:") print(" from uipath_langchain.chat_models import UiPathChatModel") print(" from langchain.agents import AgentExecutor, create_react_agent") print(" from langchain import hub") print(" from langchain_core.tools import Tool") print(" # llm = UiPathChatModel()") print(" # tools_for_agent = [Tool(name=t.name, func=t.func, description=t.description) for t in available_tools]") print(" # prompt = hub.pull('hwchase17/react')") print(" # agent = create_react_agent(llm, tools_for_agent, prompt)") print(" # agent_executor = AgentExecutor(agent=agent, tools=tools_for_agent, verbose=True)") print(" # response = agent_executor.invoke({'input': 'Your query that uses a UiPath tool'})") except Exception as e: print(f"\nFailed to initialize UiPathTools: {e}") print("Please ensure your LANGCHAIN_API_KEY, LANGCHAIN_API_URL, and UIPATH_AGENT_ID are correctly configured and reachable.") print("Also, verify that the UiPath Assistant is running and connected if you expect specific tools.")