docs: more concise readme (#3815)

README.md

@@ -25,7 +25,7 @@ pip install -U langgraph
 To learn more about how to use LangGraph, check out [the docs](https://langchain-ai.github.io/langgraph/). We show a simple example below of how to create a ReAct agent.
 
 ```python
-from langchain_anthropic import ChatAnthropic
+# This code depends on pip install langchain[anthropic]
 from langgraph.prebuilt import create_react_agent
 
 def search(query: str):
@@ -34,9 +34,7 @@ def search(query: str):
         return "It's 60 degrees and foggy."
     return "It's 90 degrees and sunny."
 
-model = ChatAnthropic(model=“claude-3-7-sonnet-latest”)
-tools = [search]
-agent = create_react_agent(model, tools)
+agent = create_react_agent("anthropic:claude-3-7-sonnet-latest", tools=[search])
 agent.invoke(
     {"messages": [{"role": "user", "content": "what is the weather in sf"}]}
 )

libs/langgraph/README.md

@@ -25,7 +25,7 @@ pip install -U langgraph
 To learn more about how to use LangGraph, check out [the docs](https://langchain-ai.github.io/langgraph/). We show a simple example below of how to create a ReAct agent.
 
 ```python
-from langchain_anthropic import ChatAnthropic
+# This code depends on pip install langchain[anthropic]
 from langgraph.prebuilt import create_react_agent
 
 def search(query: str):
@@ -34,9 +34,7 @@ def search(query: str):
         return "It's 60 degrees and foggy."
     return "It's 90 degrees and sunny."
 
-model = ChatAnthropic(model=“claude-3-7-sonnet-latest”)
-tools = [search]
-agent = create_react_agent(model, tools)
+agent = create_react_agent("anthropic:claude-3-7-sonnet-latest", tools=[search])
 agent.invoke(
     {"messages": [{"role": "user", "content": "what is the weather in sf"}]}
 )