Multi-agent graphs in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Graph class from LangChain.

LangChain

from langchain.graphs import [1]

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AAgent

BChain

CNode

DGraph

Attempts:

3 left

💡 Hint

Common Mistakes

Importing Agent instead of Graph

Using Chain which is unrelated here

Confusing Node with Graph

The Graph class is used to create multi-agent graphs in LangChain.

2fill in blank

medium

Complete the code to create a new Graph instance named 'my_graph'.

LangChain

my_graph = [1]()

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ANode

BGraph

CChain

DAgent

Attempts:

3 left

💡 Hint

Common Mistakes

Creating an Agent instead of a Graph

Using Chain or Node which are not graph containers

To create a multi-agent graph, instantiate the Graph class.

3fill in blank

hard

Fix the error in adding an agent to the graph by completing the method call.

LangChain

my_graph.[1](agent)

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Aadd_agent

Bappend

Cinsert

Dadd_node

Attempts:

3 left

💡 Hint

Common Mistakes

Using generic list methods like append or insert

Using add_node which is not specific for agents

The correct method to add an agent to a multi-agent graph is add_agent.

4fill in blank

hard

Fill both blanks to create an edge between two agents named 'agent1' and 'agent2'.

LangChain

my_graph.[1](agent1, agent2)
my_graph.[2](agent2, agent1)

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Aadd_edge

Bconnect

Clink

Djoin

Attempts:

3 left

💡 Hint

Common Mistakes

Using connect or link which may not be valid methods

Using join which is unrelated

The method add_edge is used to create connections (edges) between agents in the graph.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps agent names to their status if active.

LangChain

status_map = {agent.[1]: agent.[2] for agent in my_graph.agents if agent.[3]

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Aname

Bstatus

Cis_active

Did

Attempts:

3 left

💡 Hint

Common Mistakes

Using id instead of name for keys

Checking status instead of is_active for filtering

Mixing up keys and values

This comprehension creates a dictionary where keys are agent names and values are their status, but only for active agents.