feat: added uipath-langchain-client

Author: cosminacho

.github/workflows/integration_tests.yml

@@ -56,7 +56,7 @@ jobs:
       uses: actions/checkout@v4
 
     - name: Install Dependencies
-      run: uv sync
+      run: uv sync --all-extras
 
     - name: Run testcase
       env:

.gitignore

@@ -173,6 +173,8 @@ cython_debug/
 # PyPI configuration file
 .pypirc
 
+.vscode/
+
 
 **/uipath.db
 **/.uipath

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uipath-langchain"
-version = "0.5.66"
+version = "1.0.0"
 description = "Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform"
 readme = { file = "README.md", content-type = "text/markdown" }
 requires-python = ">=3.11"
@@ -10,7 +10,6 @@ dependencies = [
     "langgraph>=1.0.0, <2.0.0",
     "langchain-core>=1.2.11, <2.0.0",
     "langgraph-checkpoint-sqlite>=3.0.3, <4.0.0",
-    "langchain-openai>=1.0.0, <2.0.0",
     "langchain>=1.0.0, <2.0.0",
     "pydantic-settings>=2.6.0",
     "python-dotenv>=1.0.1",
@@ -20,6 +19,7 @@ dependencies = [
     "jsonpath-ng>=1.7.0",
     "mcp==1.26.0",
     "langchain-mcp-adapters==0.2.1",
+    "uipath-langchain-client[openai]>=1.1.7",
 ]
 
 classifiers = [
@@ -35,8 +35,10 @@ maintainers = [
 ]
 
 [project.optional-dependencies]
-vertex = ["langchain-google-genai>=2.0.0", "google-generativeai>=0.8.0"]
-bedrock = ["langchain-aws>=0.2.35", "boto3-stubs>=1.41.4"]
+bedrock = ["uipath-langchain-client[aws]>=1.1.7"]
+anthropic = ["uipath-langchain-client[anthropic]>=1.1.7"]
+vertex = ["uipath-langchain-client[google,vertexai]>=1.1.7"]
+all = ["uipath-langchain-client[all]>=1.1.7"]
 
 [project.entry-points."uipath.middlewares"]
 register = "uipath_langchain.middlewares:register_middleware"
@@ -82,8 +84,6 @@ select = ["E", "F", "B", "I"]
 
 [tool.ruff.lint.per-file-ignores]
 "*" = ["E501"]
-"src/uipath_langchain/chat/bedrock.py" = ["E402"]
-"src/uipath_langchain/chat/vertex.py" = ["E402"]
 
 [tool.ruff.format]
 quote-style = "double"

samples/bring-your-own-model/main.py

@@ -1,8 +1,9 @@
 from langchain_core.messages import HumanMessage, SystemMessage
-from langgraph.graph import START, StateGraph, END
-from uipath_langchain.chat import UiPathChatOpenAI
+from langgraph.graph import END, START, StateGraph
 from pydantic import BaseModel
 
+from uipath_langchain.chat import UiPathChatOpenAI
+
 
 class GraphState(BaseModel):
     topic: str
@@ -11,11 +12,11 @@ class GraphState(BaseModel):
 class GraphOutput(BaseModel):
     report: str
 
+
 async def generate_report(state: GraphState) -> GraphOutput:
     system_prompt = "You are a report generator. Please provide a brief report based on the given topic."
     llm = UiPathChatOpenAI(
-        byo_connection_id="my-custom-model",
-        model_name="gpt-4o-2024-11-20"
+        byo_connection_id="my-custom-model", model_name="gpt-4o-2024-11-20"
     )
     output = await llm.ainvoke(
         [SystemMessage(system_prompt), HumanMessage(state.topic)]

samples/chat-uipath-agent/graph.py

@@ -1,7 +1,8 @@
 from langchain.agents import create_agent
-from uipath_langchain.chat import UiPathChatOpenAI
 from langchain_community.tools import DuckDuckGoSearchResults
 
+from uipath_langchain.chat import UiPathChatOpenAI
+
 search_tool = DuckDuckGoSearchResults()
 
 movie_system_prompt = """You are an advanced AI assistant specializing in movie research and analysis. Your primary functions are: