fix: update multi-agent sample

samples/multi-agent-supervisor-researcher-coder/README.md

@@ -19,36 +19,37 @@ graph TD;
 	__start__([<p>__start__</p>]):::first
 	input(input)
 	supervisor(supervisor)
+	__end__([<p>__end__</p>]):::last
 	__start__ --> input;
+	coder\3a__end__ -.-> supervisor;
 	input --> supervisor;
-	supervisor -.-> researcher___start__;
-	supervisor -.-> coder___start__;
-	researcher___end__ -.-> supervisor;
-	coder___end__ -.-> supervisor;
+	researcher\3a__end__ -.-> supervisor;
+	supervisor -.-> coder\3a__start__;
+	supervisor -.-> researcher\3a__start__;
+	supervisor -.-> __end__;
 	subgraph researcher
-	researcher___start__(<p>__start__</p>)
-	researcher_agent(agent)
-	researcher_tools(tools)
-	researcher___end__(<p>__end__</p>)
-	researcher___start__ --> researcher_agent;
-	researcher_tools --> researcher_agent;
-	researcher_agent -.-> researcher_tools;
-	researcher_agent -.-> researcher___end__;
+	researcher\3a__start__(<p>__start__</p>)
+	researcher\3aagent(agent)
+	researcher\3atools(tools)
+	researcher\3a__end__(<p>__end__</p>)
+	researcher\3a__start__ --> researcher\3aagent;
+	researcher\3aagent -.-> researcher\3a__end__;
+	researcher\3aagent -.-> researcher\3atools;
+	researcher\3atools --> researcher\3aagent;
 	end
 	subgraph coder
-	coder___start__(<p>__start__</p>)
-	coder_agent(agent)
-	coder_tools(tools)
-	coder___end__(<p>__end__</p>)
-	coder___start__ --> coder_agent;
-	coder_tools --> coder_agent;
-	coder_agent -.-> coder_tools;
-	coder_agent -.-> coder___end__;
+	coder\3a__start__(<p>__start__</p>)
+	coder\3aagent(agent)
+	coder\3atools(tools)
+	coder\3a__end__(<p>__end__</p>)
+	coder\3a__start__ --> coder\3aagent;
+	coder\3aagent -.-> coder\3a__end__;
+	coder\3aagent -.-> coder\3atools;
+	coder\3atools --> coder\3aagent;
 	end
 	classDef default fill:#f2f0ff,line-height:1.2
 	classDef first fill-opacity:0
 	classDef last fill:#bfb6fc
-
 ```
 
 ## How It Works
@@ -68,7 +69,7 @@ graph TD;
 
 ## Requirements
 
-- Python 3.10+
+- Python 3.11+
 - LangGraph
 - Anthropic API key (for Claude)
 - Tavily API key (for web search)

samples/multi-agent-supervisor-researcher-coder/agent.mermaid

@@ -7,31 +7,33 @@ graph TD;
 	__start__([<p>__start__</p>]):::first
 	input(input)
 	supervisor(supervisor)
+	__end__([<p>__end__</p>]):::last
 	__start__ --> input;
+	coder\3a__end__ -.-> supervisor;
 	input --> supervisor;
-	supervisor -.-> researcher___start__;
-	supervisor -.-> coder___start__;
-	researcher___end__ -.-> supervisor;
-	coder___end__ -.-> supervisor;
+	researcher\3a__end__ -.-> supervisor;
+	supervisor -.-> coder\3a__start__;
+	supervisor -.-> researcher\3a__start__;
+	supervisor -.-> __end__;
 	subgraph researcher
-	researcher___start__(<p>__start__</p>)
-	researcher_agent(agent)
-	researcher_tools(tools)
-	researcher___end__(<p>__end__</p>)
-	researcher___start__ --> researcher_agent;
-	researcher_tools --> researcher_agent;
-	researcher_agent -.-> researcher_tools;
-	researcher_agent -.-> researcher___end__;
+	researcher\3a__start__(<p>__start__</p>)
+	researcher\3aagent(agent)
+	researcher\3atools(tools)
+	researcher\3a__end__(<p>__end__</p>)
+	researcher\3a__start__ --> researcher\3aagent;
+	researcher\3aagent -.-> researcher\3a__end__;
+	researcher\3aagent -.-> researcher\3atools;
+	researcher\3atools --> researcher\3aagent;
 	end
 	subgraph coder
-	coder___start__(<p>__start__</p>)
-	coder_agent(agent)
-	coder_tools(tools)
-	coder___end__(<p>__end__</p>)
-	coder___start__ --> coder_agent;
-	coder_tools --> coder_agent;
-	coder_agent -.-> coder_tools;
-	coder_agent -.-> coder___end__;
+	coder\3a__start__(<p>__start__</p>)
+	coder\3aagent(agent)
+	coder\3atools(tools)
+	coder\3a__end__(<p>__end__</p>)
+	coder\3a__start__ --> coder\3aagent;
+	coder\3aagent -.-> coder\3a__end__;
+	coder\3aagent -.-> coder\3atools;
+	coder\3atools --> coder\3aagent;
 	end
 	classDef default fill:#f2f0ff,line-height:1.2
 	classDef first fill-opacity:0

samples/multi-agent-supervisor-researcher-coder/graph.py

@@ -1,8 +1,8 @@
 from typing import Annotated, Literal
 
 from langchain_anthropic import ChatAnthropic
-from langchain_community.tools.tavily_search import TavilySearchResults
-from langchain_core.messages import HumanMessage, SystemMessage
+from langchain_tavily import TavilySearch
+from langchain_core.messages import HumanMessage, SystemMessage, BaseMessage
 from langchain_core.tools import tool
 from langchain_experimental.utilities import PythonREPL
 from langgraph.graph import END, START, MessagesState, StateGraph
@@ -11,7 +11,8 @@
 from pydantic import BaseModel
 from typing_extensions import TypedDict
 
-tavily_tool = TavilySearchResults(max_results=5)
+
+tavily_tool = TavilySearch(max_results=5)
 
 # This executes code locally, which can be unsafe
 repl = PythonREPL()
@@ -28,7 +29,7 @@ def python_repl_tool(
         result = repl.run(code)
     except BaseException as e:
         return f"Failed to execute. Error: {repr(e)}"
-    result_str = f"Successfully executed:\n\`\`\`python\n{code}\n\`\`\`\nStdout: {result}"
+    result_str = f"Successfully executed:\n```python\n{code}\n```\nStdout: {result}"
     return result_str
 
 members = ["researcher", "coder"]
@@ -62,6 +63,16 @@ class GraphOutput(BaseModel):
 class State(MessagesState):
     next: str
 
+def get_message_text(msg: BaseMessage) -> str:
+    """LangChain-style safe message text extractor."""
+    if isinstance(msg.content, str):
+        return msg.content
+    if isinstance(msg.content, list):
+        return "".join(
+            block.get("text", "") for block in msg.content if block.get("type") == "text"
+        )
+    return ""
+
 def input(state: GraphInput):
     return {
         "messages": [
@@ -75,7 +86,7 @@ async def supervisor_node(state: State) -> Command[Literal[*members]] | GraphOut
     response = await llm.with_structured_output(Router).ainvoke(state["messages"])
     goto = response["next"]
     if goto == "FINISH":
-        return GraphOutput(answer=state["messages"][-1].content)
+        return GraphOutput(answer=get_message_text(state["messages"][-1]))
     else:
         return Command(goto=goto, update={"next": goto})
 

samples/multi-agent-supervisor-researcher-coder/pyproject.toml

@@ -5,11 +5,12 @@ description = "Multi-agent system where a supervisor coordinates between a resea
 authors = [{ name = "John Doe", email = "john.doe@myemail.com" }]
 requires-python = ">=3.10"
 dependencies = [
-    "langgraph>=0.2.55",
-    "langchain-anthropic>=0.3.8",
+    "langgraph>=0.6.11",
+    "langchain-anthropic>=0.3.22",
     "langchain-experimental>=0.3.4",
-    "tavily-python>=0.5.0",
-    "uipath-langchain==0.0.124"
+    "tavily-python>=0.7.12",
+    "uipath-langchain==0.0.141",
+    "langchain-tavily>=0.2.12",
 ]
 
 [project.optional-dependencies]