chore: modify template agent

template/README.md

@@ -15,7 +15,7 @@ A quickstart UiPath LangGraph agent. It answers user queries using live tools an
 | Tool               | Description                                      |
 | ------------------ | ------------------------------------------------ |
 | `get_current_time` | Returns the current UTC date and time (ISO 8601) |
-| `web_search`       | Searches the web via DuckDuckGo                  |
+| `get_weather`      | Returns weather data for a city (mock data)      |
 
 ### LLM Providers
 
@@ -43,7 +43,7 @@ flowchart TD
 ```json
 // Input
 {
-  "query": "What is the current UTC time?"
+  "query": "What's the weather like in London?"
 }
 
 // Output
@@ -64,7 +64,7 @@ uv run uipath debug agent --file input.json
 
 ## Evaluation
 
-The agent ships with a tool call order evaluator that verifies the ReAct node calls `get_current_time` **before** `web_search` when given a time-dependent query.
+The agent ships with a tool call order evaluator that verifies the ReAct node calls `get_current_time` **before** `get_weather` when given a time-and-weather query, and an LLM judge that checks weather output for semantic similarity.
 
 ```bash
 uv run uipath eval

template/evaluations/eval-sets/evaluation-set-default.json

@@ -4,37 +4,30 @@
   "name": "Default Evaluation Set",
   "evaluatorRefs": [
     "evaluator-llm-judge-output",
-    "evaluator-tool-call-order"
+    "evaluator-tool-call-order",
+    "evaluator-tool-call-arguments",
+    "evaluator-tool-call-count"
   ],
   "evaluations": [
     {
       "id": "ada5a2c1-976c-470b-964f-eb70a5e61eb4",
-      "name": "Current time tool should be called before web search",
+      "name": "Weather in Paris",
       "inputs": {
-        "query": "search the web using current time as input"
-      },
-      "evaluationCriterias": {
-        "evaluator-tool-call-order": null
-      },
-      "createdAt": "2026-03-23T17:10:17.394Z",
-      "updatedAt": "2026-03-23T17:10:40.659Z"
-    },
-    {
-      "id": "cf113553-5055-4cbf-a97f-e3801b05acd8",
-      "name": "UiPath details",
-      "inputs": {
-        "query": "tell me about UiPath"
+        "query": "Is it good weather for a walk in Paris?"
       },
       "evaluationCriterias": {
         "evaluator-llm-judge-output": {
-          "expectedOutput": "{\n  \"response\": \"# UiPath Overview: **UiPath** is a global software company and a leading platform for **Robotic Process Automation (RPA)** and **Agentic Automation**. Here are the key details:\\\\n\\\\n## Company Background\\\\n- **Founded:** 2005 by Daniel Dines and Marius Tirca\\\\n- **Headquarters:** New York City, United States\\\\n- **Status:** Public company\\\\n- **Funding:** Raised $1.96B from investors like Accel, Coatue, and Alkeon Capital Management\\\\n\\\\n## What It Does\\\\nUiPath specializes in automating repetitive, routine business tasks by using software robots that mimic human actions across digital systems. The platform helps organizations:\\\\n- Automate end-to-end business processes\\\\n- Reduce manual work and improve efficiency\\\\n- Enhance enterprise digital transformation\\\\n\\\\n## Core Offerings\\\\n- **RPA (Robotic Process Automation):** Build, manage, and deploy bots to automate repetitive tasks\\\\n- **AI Integration:** Advanced AI capabilities through collaborations with NVIDIA, OpenAI, Google, Microsoft, and Snowflake\\\\n- **UiPath Studio Web:** Browser-based tool for building cross-platform automations with templates and collaboration features\\\\n- **Agentic Automation:** AI agents that can orchestrate workflows with robots and human effort\\\\n\\\\n## Business Model Evolution\\\\n- **Shifting to consumption-based pricing:** Moving from traditional \\\"per-user seat\\\" licensing to \\\"pay-per-action\\\" models\\\\n- This reflects the changing value proposition as AI agents become more capable\\\\n\\\\n## Recent Developments\\\\n- Announced acquisition of **WorkFusion** (a pioneer in AI agents for financial crime compliance)\\\\n- Expanding AI capabilities and partnerships with major tech companies\\\\n- Offering globally recognized certification programs for automation expertise\\\\n\\\\nUiPath is positioned as one of the leading enterprise automation platforms for digital transformation\"\n}"
-        }
+          "expectedOutput": "{\n  \"response\": \"Yes, it's quite good weather for a walk in Paris! The current conditions are:**Temperature**: 18°C (64°F) - mild and pleasant spring weather **Wind**: 12 km/h (7 mph) - light, manageable breeze **Conditions**: Partly cloudy - perfect for a walk without being too sunny or too gray\"\n}"
+        },
+        "evaluator-tool-call-order": null,
+        "evaluator-tool-call-arguments": null,
+        "evaluator-tool-call-count": null
       },
-      "createdAt": "2026-04-08T15:19:44.377Z",
-      "updatedAt": "2026-04-08T15:21:50.470Z"
+      "createdAt": "2026-03-23T17:10:17.394Z",
+      "updatedAt": "2026-04-09T07:11:59.193Z"
     }
   ],
   "fileName": "evaluation-set-default.json",
-  "updatedAt": "2026-04-08T15:21:50.470Z",
+  "updatedAt": "2026-04-09T07:11:59.193Z",
   "selectedEntrypoint": "agent"
-}
+}

template/evaluations/evaluators/tool-call-arguments.json

@@ -0,0 +1,24 @@
+{
+  "version": "1.0",
+  "fileName": "tool-call-arguments.json",
+  "id": "evaluator-tool-call-arguments",
+  "description": "Verify tool call arguments match expected values",
+  "evaluatorTypeId": "uipath-tool-call-args",
+  "evaluatorConfig": {
+    "strict": false,
+    "subset": false,
+    "name": "Tool Call Arguments",
+    "defaultEvaluationCriteria": {
+      "toolCalls": [
+        {
+          "name": "get_weather",
+          "args": {
+            "city": "Paris"
+          }
+        }
+      ]
+    }
+  },
+  "createdAt": "2026-04-09T07:09:28.326Z",
+  "updatedAt": "2026-04-09T07:09:31.178Z"
+}

template/evaluations/evaluators/tool-call-count.json

@@ -0,0 +1,25 @@
+{
+  "version": "1.0",
+  "fileName": "tool-call-count.json",
+  "id": "evaluator-tool-call-count",
+  "description": "Verify tool call counts match expected values",
+  "evaluatorTypeId": "uipath-tool-call-count",
+  "evaluatorConfig": {
+    "strict": false,
+    "name": "Tool Call Count",
+    "defaultEvaluationCriteria": {
+      "toolCallsCount": {
+        "get_weather": [
+          "=",
+          1
+        ],
+        "get_current_time": [
+          "=",
+          1
+        ]
+      }
+    }
+  },
+  "createdAt": "2026-04-09T07:09:51.451Z",
+  "updatedAt": "2026-04-09T07:09:53.843Z"
+}

template/evaluations/evaluators/tool-call-order.json

@@ -10,7 +10,7 @@
     "defaultEvaluationCriteria": {
       "toolCallsOrder": [
         "get_current_time",
-        "web_search"
+        "get_weather"
       ]
     }
   },

template/input.json

@@ -1,3 +1,3 @@
 {
-  "query": "What is the current UTC time?"
+  "query": "What's the weather like in London?"
 }

template/main.py

@@ -2,8 +2,6 @@
 from typing import Annotated, Any, TypedDict
 
 from langchain.agents import create_agent
-from langchain_community.tools import DuckDuckGoSearchRun
-from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
 from langchain_core.messages import HumanMessage, SystemMessage
 from langchain_core.tools import tool
 from langgraph.graph import END, START, StateGraph
@@ -52,11 +50,27 @@ def get_current_time() -> str:
     return datetime.now(timezone.utc).isoformat()
 
 
-web_search = DuckDuckGoSearchRun(
-    name="web_search",
-    description="Search the web for information.",
-    api_wrapper=DuckDuckGoSearchAPIWrapper(backend="duckduckgo"),
-)
+@tool
+def get_weather(city: str, utc_time: str) -> str:
+    """Get the current weather for a city. Requires the current UTC time from get_current_time.
+
+    Args:
+        city: The city name, e.g. 'Paris' or 'Tokyo'.
+        utc_time: The current UTC time.
+    """
+
+    WEATHER_DATA = {
+        "paris": "Weather in Paris, France: 18°C, wind 12 km/h, partly cloudy",
+        "london": "Weather in London, UK: 14°C, wind 20 km/h, overcast",
+        "new york": "Weather in New York, USA: 22°C, wind 8 km/h, clear sky",
+        "tokyo": "Weather in Tokyo, Japan: 26°C, wind 5 km/h, sunny",
+        "sydney": "Weather in Sydney, Australia: 19°C, wind 15 km/h, light rain",
+    }
+
+    weather = WEATHER_DATA.get(city.lower().strip())
+    if weather:
+        return f"{weather} (as of {utc_time})"
+    return f"Weather data not available for {city}"
 
 
 async def prepare(input: InputModel) -> dict[str, Any]:
@@ -70,7 +84,7 @@ async def prepare(input: InputModel) -> dict[str, Any]:
 
 react_agent = create_agent(
     model=llm,
-    tools=[get_current_time, web_search],
+    tools=[get_current_time, get_weather],
     response_format=AgentResponse,
 )
 

template/pyproject.toml

@@ -4,8 +4,6 @@ version = "0.0.1"
 description = "uipath-langchain-template-agent"
 authors = [{ name = "John Doe", email = "john.doe@myemail.com" }]
 dependencies = [
-    "ddgs>=9.11.4",
-    "langchain-community>=0.4.1",
     "uipath-langchain[bedrock,vertex]>=0.9.21, <0.10.0",
 ]
 requires-python = ">=3.11"