How and why
Incremental by design.
SchemaStream keeps parsing state across provider chunks and produces complete object snapshots at an explicit cadence. It is useful when structured fields should become available before the root JSON document closes.
The pipeline
Consume the stream once. Choose when to materialize.
Incremental parsing removes the need to retry a full parse from byte zero whenever a new chunk arrives. Snapshot policies keep that parser efficiency from being erased by materializing or transporting more updates than the interface needs.
- 01Accept arbitrary boundaries
Text and UTF-8 chunks can split between bytes, tokens, keys, and nested values.
- 02Advance incremental state
The tokenizer and parser resume from their existing state instead of rescanning input.
- 03Materialize deliberately
The selected policy decides when a new independent, schema-shaped object is useful.
- 04Consume and settle
Application code receives an object; the producing SDK or application validates the final result.
Cost model
Cost follows payload shape and update cadence.
Incremental state avoids rescanning input the parser already consumed. Snapshot materialization, provider delay, transport, and rendering still scale with the workload, so choose a policy around the earliest update the consumer can use.
- Parser state
- Carry it forward instead of reparsing an ever-growing prefix.
- Snapshots
- Use chunk, value, byte, or final policies to match the consumer.
- Completion
- React to a completed subtree without waiting for the root value.
- Transport
- Serialize once per selected revision and send complete application messages.
Where it fits
Use it when progress has application value.
Good fit
Structured model output, progressive dashboards, early routing decisions, nested completion events, or server-side fan-out to multiple browser clients.
Probably unnecessary
Small responses consumed only after completion, unstructured text, or workflows where no partial field can be used safely or meaningfully.