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fix(docs): import tool directly from langchain_core.tools #1941

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fix(docs): import tool directly from langchain_core.tools #1941

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17 changes: 11 additions & 6 deletions src/oss/langchain/tools.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ Under the hood, tools are callable functions with well-defined inputs and output
The simplest way to create a tool is with the @[`@tool`] decorator. By default, the function's docstring becomes the tool's description that helps the model understand when to use it:

```python
from langchain.tools import tool
from langchain_core.tools import tool

@tool
def search_database(query: str, limit: int = 10) -> str:
Expand Down Expand Up @@ -231,7 +231,8 @@ The runtime automatically provides these capabilities to your tool functions wit
Tools can access the current graph state using `ToolRuntime`:

```python
from langchain.tools import tool, ToolRuntime
from langchain_core.tools import tool
from langchain.tools import ToolRuntime

# Access the current conversation state
@tool
Expand Down Expand Up @@ -270,7 +271,8 @@ Use @[`Command`] to update the agent's state or control the graph's execution fl
from langgraph.types import Command
from langchain.messages import RemoveMessage
from langgraph.graph.message import REMOVE_ALL_MESSAGES
from langchain.tools import tool, ToolRuntime
from langchain_core.tools import tool
from langchain.tools import ToolRuntime

# Update the conversation history by removing all messages
@tool
Expand Down Expand Up @@ -305,7 +307,8 @@ Tools can access runtime context through `ToolRuntime`:
from dataclasses import dataclass
from langchain_openai import ChatOpenAI
from langchain.agents import create_agent
from langchain.tools import tool, ToolRuntime
from langchain_core.tools import tool
from langchain.tools import ToolRuntime


USER_DATABASE = {
Expand Down Expand Up @@ -403,7 +406,8 @@ Tools can access and update the store through `ToolRuntime`:
from typing import Any
from langgraph.store.memory import InMemoryStore
from langchain.agents import create_agent
from langchain.tools import tool, ToolRuntime
from langchain_core.tools import tool
from langchain.tools import ToolRuntime


# Access memory
Expand Down Expand Up @@ -528,7 +532,8 @@ console.log(result);
Stream custom updates from tools as they execute using `runtime.stream_writer`. This is useful for providing real-time feedback to users about what a tool is doing.

```python
from langchain.tools import tool, ToolRuntime
from langchain_core.tools import tool
from langchain.tools import ToolRuntime

@tool
def get_weather(city: str, runtime: ToolRuntime) -> str:
Expand Down
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