Unverified50% confidenceFactExact time
Firebase AI Logic supports requesting structured output, specified via responseSchema and responseMimeType: application/json, so that the model returns results in a defined JSON format.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAfter the API server processes a request, it packages the result in JSON format and returns it, containing the AI response text along with metadata such as token usage.71% similarUnverifiedBy forcing the model to answer using a single tool, you can obtain JSON output that conforms to a schema rather than free-form text that needs to be parsed manually.70% similarUnverifiedCalling an AI API for text generation only requires sending a POST request with a JSON body and parsing the response, with no model training or fine-tuning needed.70% similarUnverifiedThe core logic for integrating AI is to send a prompt via HTTP POST to the provider's endpoint and parse the returned JSON result, relying solely on the requests library.70% similarUnverifiedWhen having AI process documents, you should explicitly specify which fields to extract and enforce JSON format returns, in order to obtain structured output usable by downstream nodes.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1018089API
curl https://kongchang.com/api/v1/knowledge/claims/1018089MCP
get_claim(id=1018089)