7 min read
Output Contracts: Catch a Model Swap Before Downstream Systems Do
Structured outputs fix the shape of a model's answer, not its meaning: a two-layer contract between a Foundry model and the systems that consume it.
Structured Output
8 articles
1 min read
Prompt Engineering: Structured Output with JSON Mode
For even stricter control, use the structured outputs feature with a JSON schema. JSON mode transforms LLMs from conversational tools into reliable data…
1 min read
Structured Output with Azure OpenAI: JSON Mode and Response Formats
JSON mode guarantees the model outputs valid JSON, though you still need to specify the schema in your prompt.
1 min read
Structured Output with JSON Mode: Reliable Data Extraction from LLMs
Structured outputs eliminate parsing errors. Add business validation for semantic correctness - the schema ensures format, you ensure meaning.
1 min read
Structured Outputs: Getting Reliable Data from LLMs
Structured outputs enable reliable integration of LLM capabilities into data pipelines.
6 min read
Reading Charts and Dashboards with GPT-4o: What to Trust
Where GPT-4o vision helps data teams read charts and dashboard screenshots, what it gets wrong, what each image costs, and how to check its numbers in code.
6 min read
Drafting a Star Schema with GPT-4o and Structured Outputs
Use GPT-4o structured outputs to draft a star schema from requirements, check it with plain code, and generate Fabric Warehouse DDL that respects its limits.
7 min read
Prompting in 2025: What Changes with o1 and Structured Outputs
Which prompt techniques still earn their place on Azure OpenAI in January 2025, which moved into the API, and which now work against reasoning models like o1.