diff --git a/pyproject.toml b/pyproject.toml index 197716e7..b0acb036 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,22 +1,21 @@ [project] name = "uipath-langchain" -version = "0.0.147" +version = "0.0.143" description = "UiPath Langchain" readme = { file = "README.md", content-type = "text/markdown" } -requires-python = ">=3.10" +requires-python = ">=3.11" dependencies = [ - "uipath>=2.1.110, <2.2.0", - "langgraph>=0.5.0, <0.7.0", - "langchain-core>=0.3.34", + "uipath>=2.1.103, <2.2.0", + "langgraph>=1.0.1, <1.1.0", + "langchain-core>=1.0.0, <1.1.0", "langgraph-checkpoint-sqlite>=2.0.3", - "langchain-community>=0.3.21", - "langchain-openai>=0.3.3", - "langchain>=0.3.4", + "langchain-community>=0.4.1", + "langchain-openai>=1.0.1", + "langchain>=1.0.2", "pydantic-settings>=2.6.0", "python-dotenv>=1.0.1", "httpx>=0.27.0", - "openai>=1.65.5", - "openinference-instrumentation-langchain>=0.1.50", + "openinference-instrumentation-langchain>=0.1.54", "jsonschema-pydantic>=0.6", ] classifiers = [ diff --git a/testcases/common/trace_assert.py b/testcases/common/trace_assert.py index c95330b8..a6c1287a 100644 --- a/testcases/common/trace_assert.py +++ b/testcases/common/trace_assert.py @@ -106,15 +106,23 @@ def assert_traces(traces_file: str, expected_file: str) -> None: for expected in expected_spans: # Find a matching span found = False + name = expected['name'] + # Handle both string and list of names + name_str = name if isinstance(name, str) else f"[{' | '.join(name)}]" + for span in traces: if matches_expected(span, expected): found = True - print(f"✓ Found span: {expected['name']}") + print(f"✓ Found span: {name_str}") break if not found: - missing_spans.append(expected['name']) - print(f"✗ Missing span: {expected['name']}") + missing_spans.append(name_str) + print(f"✗ Missing span: {name_str}") + + print("Traces file content:") + with open(traces_file, 'r', encoding='utf-8') as f: + print(f.read()) if missing_spans: raise AssertionError( diff --git a/testcases/company-research-agent/expected_traces.json b/testcases/company-research-agent/expected_traces.json index 68b529af..441b53f0 100644 --- a/testcases/company-research-agent/expected_traces.json +++ b/testcases/company-research-agent/expected_traces.json @@ -1,41 +1,119 @@ { - "description": "Company research agent trace assertions - check key spans exist", - "required_spans": [ - { - "name": "LangGraph", - "span_type": "OpenTelemetry", - "attributes": { - "openinference.span.kind": "CHAIN" - } - }, - { - "name": "call_model", - "span_type": "OpenTelemetry", - "attributes": { - "openinference.span.kind": "CHAIN" - } - }, - { - "name": [ - "UiPathChat", - "UiPathAzureChatOpenAI" - ], - "span_type": "OpenTelemetry", - "attributes": { - "openinference.span.kind": "LLM", - "llm.provider": "azure", - "llm.system": "openai", - "llm.model_name": "gpt-4o-2024-08-06" - } - }, - { - "name": "duckduckgo_results_json", - "span_type": "OpenTelemetry", - "attributes": { - "openinference.span.kind": "TOOL", - "tool.name": "duckduckgo_results_json", - "tool.description": "A wrapper around Duck Duck Go Search. Useful for when you need to answer questions about current events. Input should be a search query." - } - } - ] -} \ No newline at end of file + "description": "Expected traces for company-research-agent test with DuckDuckGo search tools", + "required_spans": [ + { + "name": "LangGraph", + "span_type": "OpenTelemetry", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "researcher", + "span_type": "OpenTelemetry", + "parent_name": "LangGraph", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "model", + "span_type": "OpenTelemetry", + "parent_name": "researcher", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": ["UiPathChat", "UiPathAzureChatOpenAI"], + "span_type": "OpenTelemetry", + "parent_name": "model", + "attributes": { + "openinference.span.kind": "LLM", + "llm.provider": "azure", + "llm.system": "openai", + "llm.model_name": "gpt-4o-2024-08-06", + "llm.input_messages.0.message.role": "system", + "llm.input_messages.1.message.role": "user", + "llm.output_messages.0.message.role": "assistant", + "session.id": "default" + } + }, + { + "name": "model_to_tools", + "span_type": "OpenTelemetry", + "parent_name": "model", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "tools", + "span_type": "OpenTelemetry", + "parent_name": "researcher", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "duckduckgo_results_json", + "span_type": "OpenTelemetry", + "parent_name": "tools", + "attributes": { + "openinference.span.kind": "TOOL", + "tool.name": "duckduckgo_results_json", + "tool.description": "A wrapper around Duck Duck Go Search. Useful for when you need to answer questions about current events. Input should be a search query.", + "session.id": "default" + } + }, + { + "name": "tools_to_model", + "span_type": "OpenTelemetry", + "parent_name": "tools", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "model", + "span_type": "OpenTelemetry", + "parent_name": "researcher", + "count": 2, + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": ["UiPathChat", "UiPathAzureChatOpenAI"], + "span_type": "OpenTelemetry", + "parent_name": "model", + "count": 2, + "attributes": { + "openinference.span.kind": "LLM", + "llm.provider": "azure", + "llm.system": "openai", + "llm.model_name": "gpt-4o-2024-08-06", + "llm.output_messages.0.message.role": "assistant", + "session.id": "default" + } + }, + { + "name": "model_to_tools", + "span_type": "OpenTelemetry", + "parent_name": "model", + "count": 2, + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default", + "output.value": "__end__" + } + } + ] +} diff --git a/testcases/company-research-agent/pyproject.toml b/testcases/company-research-agent/pyproject.toml index 00981293..816eb14a 100644 --- a/testcases/company-research-agent/pyproject.toml +++ b/testcases/company-research-agent/pyproject.toml @@ -4,15 +4,12 @@ version = "0.0.1" description = "Company research agent with Tavily web search" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] -requires-python = ">=3.10" +requires-python = ">=3.11" dependencies = [ - "langgraph>=0.2.55", - "langchain-anthropic>=0.3.8", - "tavily-python>=0.5.0", "uipath-langchain", - "duckduckgo-search>=8.1.1", + "langgraph>=1.0.1", "langchain-community>=0.3.21", - "debugpy>=1.8.15", + "ddgs>=9.6.1", ] [project.optional-dependencies] diff --git a/testcases/company-research-agent/src/assert.py b/testcases/company-research-agent/src/assert.py index 233198a2..f9aac485 100644 --- a/testcases/company-research-agent/src/assert.py +++ b/testcases/company-research-agent/src/assert.py @@ -44,6 +44,11 @@ # Check if response contains 'Successful execution.' assert "Successful execution." in local_run_output, f"Response does not contain 'Successful execution.'. Actual response: {local_run_output}" +with open("__uipath/execution.log", "r") as f: + log_output = f.read() + # Print the execution log content + print(log_output) + assert_traces(".uipath/traces.jsonl", "expected_traces.json") print("Required fields validation passed") \ No newline at end of file diff --git a/testcases/company-research-agent/src/graph.py b/testcases/company-research-agent/src/graph.py index 6e6123af..997fbe8f 100644 --- a/testcases/company-research-agent/src/graph.py +++ b/testcases/company-research-agent/src/graph.py @@ -2,23 +2,18 @@ from typing import Union from langchain_community.tools import DuckDuckGoSearchResults -from langchain_community.tools.tavily_search import TavilySearchResults from langgraph.graph import END, START, MessagesState, StateGraph -from langgraph.prebuilt import create_react_agent +from langchain.agents import create_agent from pydantic import BaseModel from uipath_langchain.chat import UiPathAzureChatOpenAI, UiPathChat # Configuration constants -MAX_SEARCH_RESULTS = 5 DEFAULT_MODEL = "gpt-4o-2024-08-06" -ALTERNATIVE_MODEL = "claude-3-5-sonnet-latest" -def get_search_tool() -> Union[TavilySearchResults, DuckDuckGoSearchResults]: +def get_search_tool() -> Union[DuckDuckGoSearchResults]: """Get the appropriate search tool based on available API keys.""" - if os.getenv("TAVILY_API_KEY"): - return TavilySearchResults(max_results=MAX_SEARCH_RESULTS) return DuckDuckGoSearchResults() @@ -50,15 +45,15 @@ def get_search_tool() -> Union[TavilySearchResults, DuckDuckGoSearchResults]: def create_llm() -> Union[UiPathAzureChatOpenAI, UiPathChat]: """Create and configure the language model based on an environment variable.""" if os.getenv("USE_AZURE_CHAT", "false").lower() == "true": - return UiPathAzureChatOpenAI(model=DEFAULT_MODEL) - return UiPathChat(model=DEFAULT_MODEL) + return UiPathAzureChatOpenAI(model=DEFAULT_MODEL, streaming=False) + return UiPathChat(model=DEFAULT_MODEL, streaming=False) def create_research_agent(): """Create the research agent with configured LLM and tools.""" llm = create_llm() search_tool = get_search_tool() - return create_react_agent(llm, tools=[search_tool], prompt=SYSTEM_PROMPT) + return create_agent(llm, tools=[search_tool], system_prompt=SYSTEM_PROMPT) class GraphState(BaseModel): @@ -73,7 +68,7 @@ class GraphOutput(BaseModel): def create_user_message(company_name: str) -> str: """Create a formatted user message for company research.""" - return f"""Please provide a comprehensive analysis and outreach strategy for the company: {company_name}. Use the TavilySearchResults tool to gather information. Include detailed research on the company's background, organizational structure, key decision-makers, and a tailored outreach strategy. Format your response using the following section headers: + return f"""Please provide a comprehensive analysis and outreach strategy for the company: {company_name}. Use the DuckDuckGoSearchResults tool to gather information. Include detailed research on the company's background, organizational structure, key decision-makers, and a tailored outreach strategy. Format your response using the following section headers: 1. Company Overview 2. Organizational Structure diff --git a/testcases/init-flow/pyproject.toml b/testcases/init-flow/pyproject.toml index e68ced4c..d3e38b91 100644 --- a/testcases/init-flow/pyproject.toml +++ b/testcases/init-flow/pyproject.toml @@ -7,7 +7,7 @@ dependencies = [ "langchain-anthropic>=0.3.8", "uipath-langchain", ] -requires-python = ">=3.10" +requires-python = ">=3.11" [tool.uv.sources] uipath-langchain = { path = "../../", editable = true } diff --git a/testcases/simple-local-mcp/expected_traces.json b/testcases/simple-local-mcp/expected_traces.json index c07d07d5..e70d088e 100644 --- a/testcases/simple-local-mcp/expected_traces.json +++ b/testcases/simple-local-mcp/expected_traces.json @@ -1,41 +1,118 @@ { - "description": "Simple trace assertions - just check key spans exist", + "description": "Expected traces for simple-local-mcp test with MCP tools", "required_spans": [ { "name": "LangGraph", "span_type": "OpenTelemetry", "attributes": { - "openinference.span.kind": "CHAIN" + "openinference.span.kind": "CHAIN", + "session.id": "default" } }, { - "name": "agent", + "name": "model", "span_type": "OpenTelemetry", + "parent_name": "LangGraph", "attributes": { - "openinference.span.kind": "AGENT" + "openinference.span.kind": "CHAIN", + "session.id": "default", + "llm.input_messages.0.message.role": "system", + "llm.input_messages.0.message.content": "You are a helpful assistant that provides weather information. Use the provided tool to get the weather data." } }, { - "name": "call_model", + "name": ["UiPathChat", "UiPathAzureChatOpenAI"], + "span_type": "OpenTelemetry", + "parent_name": "model", + "attributes": { + "openinference.span.kind": "LLM", + "llm.provider": "azure", + "llm.system": "openai", + "llm.model_name": "gpt-4o-2024-08-06", + "llm.input_messages.0.message.role": "system", + "llm.input_messages.1.message.role": "user", + "llm.input_messages.1.message.content": "How is the weather today in New York?", + "llm.output_messages.0.message.role": "assistant", + "llm.output_messages.0.message.tool_calls.0.tool_call.function.name": "get_weather", + "session.id": "default" + } + }, + { + "name": "model_to_tools", "span_type": "OpenTelemetry", + "parent_name": "model", "attributes": { - "openinference.span.kind": "CHAIN" + "openinference.span.kind": "CHAIN", + "session.id": "default", + "llm.input_messages.0.message.role": "system", + "llm.input_messages.0.message.content": "You are a helpful assistant that provides weather information. Use the provided tool to get the weather data." + } + }, + { + "name": "tools", + "span_type": "OpenTelemetry", + "parent_name": "LangGraph", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" + } + }, + { + "name": "get_weather", + "span_type": "OpenTelemetry", + "parent_name": "tools", + "attributes": { + "openinference.span.kind": "TOOL", + "tool.name": "get_weather", + "tool.description": "Get weather for location.", + "session.id": "default" + } + }, + { + "name": "tools_to_model", + "span_type": "OpenTelemetry", + "parent_name": "tools", + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default", + "llm.input_messages.0.message.role": "system", + "llm.input_messages.0.message.content": "You are a helpful assistant that provides weather information. Use the provided tool to get the weather data." + } + }, + { + "name": "model", + "span_type": "OpenTelemetry", + "parent_name": "LangGraph", + "count": 2, + "attributes": { + "openinference.span.kind": "CHAIN", + "session.id": "default" } }, { "name": ["UiPathChat", "UiPathAzureChatOpenAI"], "span_type": "OpenTelemetry", + "parent_name": "model", + "count": 2, "attributes": { "openinference.span.kind": "LLM", - "llm.provider": "azure" + "llm.provider": "azure", + "llm.system": "openai", + "llm.model_name": "gpt-4o-2024-08-06", + "llm.output_messages.0.message.role": "assistant", + "llm.output_messages.0.message.content": "The weather in New York today is sunny with a high of 75°F.", + "session.id": "default" } }, { - "name": "add", + "name": "model_to_tools", "span_type": "OpenTelemetry", + "parent_name": "model", + "count": 2, "attributes": { - "openinference.span.kind": "TOOL", - "tool.name": "add" + "openinference.span.kind": "CHAIN", + "session.id": "default", + "output.value": "__end__" } } ] diff --git a/testcases/simple-local-mcp/input.json b/testcases/simple-local-mcp/input.json index b30d9282..63654919 100644 --- a/testcases/simple-local-mcp/input.json +++ b/testcases/simple-local-mcp/input.json @@ -2,11 +2,11 @@ "messages": [ { "type": "system", - "content": "You are a calculator assistant, you only use the provided tools to do math. DO NOT make up any answers on your own." + "content": "You are a helpful assistant that provides weather information. Use the provided tool to get the weather data." }, { "type": "human", - "content": "What is 2+2" + "content": "How is the weather today in New York?" } ] } \ No newline at end of file diff --git a/testcases/simple-local-mcp/pyproject.toml b/testcases/simple-local-mcp/pyproject.toml index a9459150..2864d375 100644 --- a/testcases/simple-local-mcp/pyproject.toml +++ b/testcases/simple-local-mcp/pyproject.toml @@ -17,7 +17,7 @@ dependencies = [ "ipython>=8.32.0", "mcp>=1.4.1", ] -requires-python = ">=3.10" +requires-python = ">=3.11" [tool.uv.sources] uipath-langchain = { path = "../../", editable = true } diff --git a/testcases/simple-local-mcp/src/simple-local-mcp/graph.py b/testcases/simple-local-mcp/src/simple-local-mcp/graph.py index c565ff81..f3f40db9 100644 --- a/testcases/simple-local-mcp/src/simple-local-mcp/graph.py +++ b/testcases/simple-local-mcp/src/simple-local-mcp/graph.py @@ -3,13 +3,13 @@ from contextlib import asynccontextmanager from langchain_mcp_adapters.client import MultiServerMCPClient -from langgraph.prebuilt import create_react_agent +from langchain.agents import create_agent from uipath_langchain.chat import UiPathAzureChatOpenAI, UiPathChat if os.getenv("USE_AZURE_CHAT", "false").lower() == "true": - model = UiPathAzureChatOpenAI(model="gpt-4o-2024-08-06") + model = UiPathAzureChatOpenAI(model="gpt-4o-2024-08-06", streaming=False) else: - model = UiPathChat(model="gpt-4o-2024-08-06") + model = UiPathChat(model="gpt-4o-2024-08-06", streaming=False) @asynccontextmanager async def make_graph(): @@ -25,5 +25,5 @@ async def make_graph(): "transport": "stdio", }, }) - agent = create_react_agent(model, await client.get_tools()) + agent = create_agent(model, tools=await client.get_tools()) yield agent diff --git a/testcases/simple-local-mcp/src/simple-local-mcp/weather_server.py b/testcases/simple-local-mcp/src/simple-local-mcp/weather_server.py index 64faac8a..b7318114 100644 --- a/testcases/simple-local-mcp/src/simple-local-mcp/weather_server.py +++ b/testcases/simple-local-mcp/src/simple-local-mcp/weather_server.py @@ -5,7 +5,7 @@ @mcp.tool() async def get_weather(location: str) -> str: """Get weather for location.""" - return "It's always sunny in New York" + return f"The weather in {location} is sunny with a high of 75°F." if __name__ == "__main__": mcp.run(transport="stdio") diff --git a/testcases/ticket-classification/pyproject.toml b/testcases/ticket-classification/pyproject.toml index 6a73cb7b..f45f1e84 100644 --- a/testcases/ticket-classification/pyproject.toml +++ b/testcases/ticket-classification/pyproject.toml @@ -15,7 +15,7 @@ dependencies = [ "typing-extensions>=4.12.2", "ipython>=8.32.0", ] -requires-python = ">=3.10" +requires-python = ">=3.11" [tool.uv.sources] uipath-langchain = { path = "../../", editable = true } diff --git a/testcases/ticket-classification/src/assert.py b/testcases/ticket-classification/src/assert.py index cbf9427c..045bef17 100644 --- a/testcases/ticket-classification/src/assert.py +++ b/testcases/ticket-classification/src/assert.py @@ -49,6 +49,12 @@ # Check if response contains 'Successful execution.' assert "Successful execution." in local_run_output, f"Response does not contain 'Successful execution.'. Actual response: {local_run_output}" +with open("__uipath/execution.log", "r") as f: + log_output = f.read() + # Print the execution log content + print(log_output) + + assert_traces(".uipath/traces.jsonl", "expected_traces.json") print("Required fields validation passed") \ No newline at end of file diff --git a/uv.lock b/uv.lock index c239f305..05f7c02b 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,9 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.13'", - "python_full_version >= '3.11' and python_full_version < '3.13'", - "python_full_version < '3.11'", + "python_full_version < '3.13'", ] [[package]] @@ -23,7 +22,6 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, { name = "aiosignal" }, - { name = "async-timeout", marker = "python_full_version < '3.11'" }, { name = "attrs" }, { name = "frozenlist" }, { name = "multidict" }, @@ -32,23 +30,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/1c/ce/3b83ebba6b3207a7135e5fcaba49706f8a4b6008153b4e30540c982fae26/aiohttp-3.13.2.tar.gz", hash = "sha256:40176a52c186aefef6eb3cad2cdd30cd06e3afbe88fe8ab2af9c0b90f228daca", size = 7837994, upload-time = "2025-10-28T20:59:39.937Z" } wheels = [ - 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