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How do I configure prompt templates and output parsers within LangChain agents to ensure strictly formatted JSON responses?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I configure prompt templates and output parsers within LangChain agents to ensure strictly formatted JSON responses?
1 real search · 1 real-search pass
LangChain documentation structured output agents JSON output parser PydanticOutputParser ChatPromptTemplate 2026Google ↗
OBSERVEDOther / navigational
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
LangChain documentation structured output agents JSON output parser PydanticOutputParser ChatPromptTemplate 2026 Google ↗
- docs/src/oss/langchain/structured-output.mdx at main · langchain-ai/docs · github.com
- structured_output | langchain · reference.langchain.com
- langchain/libs/core/langchain_core/output_parsers/json.py at master · langchain-ai/langchain · github.com
- output_parsers | langchain_core · reference.langchain.com