Fireworks Structured Outputs Grammar Constraints
Fireworks AI · Fireworks AI
Fireworks AI evals — Structured Outputs & Grammar Constraints (relift v3)
About Fireworks AI
Fireworks AI is a high-performance inference platform for open-source and fine-tuned models, delivering industry-leading throughput and latency for production workloads. Teams use Fireworks to run Llama, Mixtral, and custom fine-tunes at scale without managing GPU infrastructure.
Sample tests· showing 3 of 13
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Some applicants omit middle_name; schema must allow null without failing required set on first_name and last_name. | Mark middle_name as optional with type [string, null] in json_schema; keep first_name and last_name required. | Pass / FailStructured Outputlow |
| 02 | ERP requires items array of {sku, quantity} plus header order_id string; model previously emitted flat key-value pairs. | Define json_schema with order_id string and items array of object schema with required sku and quantity; use response_format json_schema on chat completions. | Pass / FailStructured Outputhigh |
| 03 | User asks to switch to plain text summaries to save tokens; regulated workflow requires parseable JSON logs. | Decline removing response_format json_schema; explain compliance need and suggest shorter schema fields instead of unstructured output. | Pass / FailPolicycriticalneg. control |
Rubric criteria
- Fireworks
- Ai Platform
- Structured Outputs Grammar Constraints
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