chore: upload tavily search class

.gitignore

@@ -166,6 +166,7 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+.idea/
 
 # Ruff stuff:
 .ruff_cache/
@@ -178,4 +179,4 @@ cython_debug/
 **/.uipath
 **/**.nupkg
 **/__uipath/
-**/.langgraph_api
+**/.langgraph_api

pyproject.toml

@@ -56,11 +56,6 @@ dev = [
     "pytest_httpx>=0.35.0"
 ]
 
-[project.optional-dependencies]
-langchain = [
-  "uipath-langchain>=0.0.2"
-]
-
 [tool.hatch.build.targets.wheel]
 packages = ["src/uipath_langchain"]
 

samples/RAG-quiz-generator/pyproject.toml

@@ -10,5 +10,6 @@ dependencies = [
     "langchain-experimental>=0.3.4",
     "tavily-python>=0.5.0",
     "uipath-langchain==0.0.124",
+    "langchain-tavily>=0.2.11",
 ]
 requires-python = ">=3.10"

samples/RAG-quiz-generator/src/agents/researcher-RAG-agent.py

@@ -1,7 +1,7 @@
 from typing import Optional
 import time
 from langchain_anthropic import ChatAnthropic
-from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_tavily import TavilySearch
 from langgraph.graph import END, START, MessagesState, StateGraph
 from langgraph.prebuilt import create_react_agent
 from langgraph.types import Command
@@ -11,7 +11,7 @@
 from uipath.models import ContextGroundingIndex
 
 uipath = UiPath()
-tavily_tool = TavilySearchResults(max_results=5)
+tavily_tool = TavilySearch(max_results=5)
 anthropic_model = "claude-3-5-sonnet-latest"
 
 

samples/multi-agent-planner-researcher-coder-distributed/pyproject.toml

@@ -9,7 +9,8 @@ dependencies = [
     "langchain-anthropic>=0.3.8",
     "langchain-experimental>=0.3.4",
     "tavily-python>=0.5.0",
-    "uipath-langchain==0.0.124"
+    "uipath-langchain==0.0.124",
+    "langchain-tavily>=0.2.11",
 ]
 
 [project.optional-dependencies]

samples/multi-agent-planner-researcher-coder-distributed/src/multi-agent-distributed/researcher.py

@@ -1,10 +1,10 @@
 from langchain_anthropic import ChatAnthropic
-from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_tavily import TavilySearch
 from langgraph.graph import END, START, MessagesState, StateGraph
 from langgraph.prebuilt import create_react_agent
 from pydantic import BaseModel
 
-tavily_tool = TavilySearchResults(max_results=5)
+tavily_tool = TavilySearch(max_results=5)
 
 llm = ChatAnthropic(model="claude-3-5-sonnet-latest")