Real ChatGPT answer · index seed1MB9JtA4oJgcompleteB2B software · AI and automation toolsinformational

How can I use LangChain to build a simple workflow that routes customer complaints to a human agent when sentiment is negative?

ChatGPTgpt-61 query11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How can I use LangChain to build a simple workflow that routes customer complaints to a human agent when sentiment is negative?
1 real search · 1 real-search pass
LangChain Python documentation structured output ChatPromptTemplate RunnableBranch currentGoogle ↗
OBSERVED

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

Classifying 1 queries…

Searches and sources

ChatGPT1 real searches · gpt-6
LangChain Python documentation structured output ChatPromptTemplate RunnableBranch current Google ↗
  1. LangChain RunnableBranch · reference.langchain.com
  2. Structured outputs · reference.langchain.com
  3. LangGraph documentation · docs.langchain.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
LangChain Python documentation structured output ChatPromptTemplate RunnableBranch current
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1