Real ChatGPT answer · index seedKqMO9XSu3gscompleteB2B software · AI and automation toolshowto

Can you give me a code template for building a multi agent system using langchain and recent updates to the OpenAI API?

ChatGPTgpt-62 queries10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
Can you give me a code template for building a multi agent system using langchain and recent updates to the OpenAI API?
2 real searches · 1 real-search pass
LangChain OpenAI integration ChatOpenAI Responses API LangGraph multi-agent latest documentation 2026Google ↗
OBSERVEDOther / navigational
OpenAI API Responses API tools structured outputs Python SDK latest documentation 2026Google ↗
OBSERVEDInstruction

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.

ChatGPT real searches (2)
Short factOther / navigational50%ComparisonConsequenceReasonDefinitionInstruction50%Yes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
LangChain OpenAI integration ChatOpenAI Responses API LangGraph multi-agent latest documentation 2026 Google ↗
OpenAI API Responses API tools structured outputs Python SDK latest documentation 2026 Google ↗
  1. Responses API · developers.openai.com
  2. LangGraph persistence · docs.langchain.com

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
LangChain OpenAI integration ChatOpenAI Responses API LangGraph multi-agent latest documentation 2026
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
OpenAI API Responses API tools structured outputs Python SDK latest documentation 2026
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1