fix langgraph tool to match example

Author: maxkorp

typescript-sdk/apps/dojo/src/files.json

@@ -572,7 +572,7 @@
     },
     {
       "name": "agent.py",
-      "content": "\"\"\"\nA simple agentic chat flow using LangGraph instead of CrewAI.\n\"\"\"\n\nfrom typing import List, Any, Optional\nimport os\n\n# Updated imports for LangGraph\nfrom langchain_core.runnables import RunnableConfig\nfrom langchain_core.messages import SystemMessage\nfrom langchain_core.tools import tool\nfrom langchain_openai import ChatOpenAI\nfrom langgraph.graph import StateGraph, END, START\nfrom langgraph.graph import MessagesState\nfrom langgraph.types import Command\nfrom requests.api import get\nfrom langgraph.prebuilt import create_react_agent\n\n\n@tool\ndef get_weather(city: str):\n    \"\"\"\n    Get the weather for a given city.\n    \"\"\"\n    return {\n        \"temperature\": 20,\n        \"conditions\": \"sunny\",\n        \"humidity\": 50,\n        \"wind_speed\": 10,\n        \"feelsLike\": 25,\n    }\n\n\n# Conditionally use a checkpointer based on the environment\n# Check for multiple indicators that we're running in LangGraph dev/API mode\nis_fast_api = os.environ.get(\"LANGGRAPH_FAST_API\", \"false\").lower() == \"true\"\n\n# Compile the graph\nif is_fast_api:\n    # For CopilotKit and other contexts, use MemorySaver\n    from langgraph.checkpoint.memory import MemorySaver\n\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n        checkpointer=MemorySaver(),\n    )\nelse:\n    # When running in LangGraph API/dev, don't use a custom checkpointer\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n    )\n",
+      "content": "\"\"\"\nA simple agentic chat flow using LangGraph instead of CrewAI.\n\"\"\"\n\nfrom typing import List, Any, Optional\nimport os\n\n# Updated imports for LangGraph\nfrom langchain_core.runnables import RunnableConfig\nfrom langchain_core.messages import SystemMessage\nfrom langchain_core.tools import tool\nfrom langchain_openai import ChatOpenAI\nfrom langgraph.graph import StateGraph, END, START\nfrom langgraph.graph import MessagesState\nfrom langgraph.types import Command\nfrom requests.api import get\nfrom langgraph.prebuilt import create_react_agent\n\n\n@tool\ndef get_weather(location: str):\n    \"\"\"\n    Get the weather for a given location.\n    \"\"\"\n    return {\n        \"temperature\": 20,\n        \"conditions\": \"sunny\",\n        \"humidity\": 50,\n        \"wind_speed\": 10,\n        \"feelsLike\": 25,\n    }\n\n\n# Conditionally use a checkpointer based on the environment\n# Check for multiple indicators that we're running in LangGraph dev/API mode\nis_fast_api = os.environ.get(\"LANGGRAPH_FAST_API\", \"false\").lower() == \"true\"\n\n# Compile the graph\nif is_fast_api:\n    # For CopilotKit and other contexts, use MemorySaver\n    from langgraph.checkpoint.memory import MemorySaver\n\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n        checkpointer=MemorySaver(),\n    )\nelse:\n    # When running in LangGraph API/dev, don't use a custom checkpointer\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n    )\n",
       "language": "python",
       "type": "file"
     },
@@ -849,7 +849,7 @@
     },
     {
       "name": "agent.py",
-      "content": "\"\"\"\nA simple agentic chat flow using LangGraph instead of CrewAI.\n\"\"\"\n\nfrom typing import List, Any, Optional\nimport os\n\n# Updated imports for LangGraph\nfrom langchain_core.runnables import RunnableConfig\nfrom langchain_core.messages import SystemMessage\nfrom langchain_core.tools import tool\nfrom langchain_openai import ChatOpenAI\nfrom langgraph.graph import StateGraph, END, START\nfrom langgraph.graph import MessagesState\nfrom langgraph.types import Command\nfrom requests.api import get\nfrom langgraph.prebuilt import create_react_agent\n\n\n@tool\ndef get_weather(city: str):\n    \"\"\"\n    Get the weather for a given city.\n    \"\"\"\n    return {\n        \"temperature\": 20,\n        \"conditions\": \"sunny\",\n        \"humidity\": 50,\n        \"wind_speed\": 10,\n        \"feelsLike\": 25,\n    }\n\n\n# Conditionally use a checkpointer based on the environment\n# Check for multiple indicators that we're running in LangGraph dev/API mode\nis_fast_api = os.environ.get(\"LANGGRAPH_FAST_API\", \"false\").lower() == \"true\"\n\n# Compile the graph\nif is_fast_api:\n    # For CopilotKit and other contexts, use MemorySaver\n    from langgraph.checkpoint.memory import MemorySaver\n\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n        checkpointer=MemorySaver(),\n    )\nelse:\n    # When running in LangGraph API/dev, don't use a custom checkpointer\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n    )\n",
+      "content": "\"\"\"\nA simple agentic chat flow using LangGraph instead of CrewAI.\n\"\"\"\n\nfrom typing import List, Any, Optional\nimport os\n\n# Updated imports for LangGraph\nfrom langchain_core.runnables import RunnableConfig\nfrom langchain_core.messages import SystemMessage\nfrom langchain_core.tools import tool\nfrom langchain_openai import ChatOpenAI\nfrom langgraph.graph import StateGraph, END, START\nfrom langgraph.graph import MessagesState\nfrom langgraph.types import Command\nfrom requests.api import get\nfrom langgraph.prebuilt import create_react_agent\n\n\n@tool\ndef get_weather(location: str):\n    \"\"\"\n    Get the weather for a given location.\n    \"\"\"\n    return {\n        \"temperature\": 20,\n        \"conditions\": \"sunny\",\n        \"humidity\": 50,\n        \"wind_speed\": 10,\n        \"feelsLike\": 25,\n    }\n\n\n# Conditionally use a checkpointer based on the environment\n# Check for multiple indicators that we're running in LangGraph dev/API mode\nis_fast_api = os.environ.get(\"LANGGRAPH_FAST_API\", \"false\").lower() == \"true\"\n\n# Compile the graph\nif is_fast_api:\n    # For CopilotKit and other contexts, use MemorySaver\n    from langgraph.checkpoint.memory import MemorySaver\n\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n        checkpointer=MemorySaver(),\n    )\nelse:\n    # When running in LangGraph API/dev, don't use a custom checkpointer\n    graph = create_react_agent(\n        model=\"openai:gpt-4.1-mini\",\n        tools=[get_weather],\n        prompt=\"You are a helpful assistant\",\n    )\n",
       "language": "python",
       "type": "file"
     }

typescript-sdk/integrations/langgraph/examples/python/agents/backend_tool_rendering/agent.py

@@ -18,9 +18,9 @@
 
 
 @tool
-def get_weather(city: str):
+def get_weather(location: str):
     """
-    Get the weather for a given city.
+    Get the weather for a given location.
     """
     return {
         "temperature": 20,