DocuBench / prompts /extend.md
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Initial upload: 50 documents, schemas, hand-verified labels, scorer, baseline results
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# Extend
- **Runner:** [`scripts/run_extend.py`](../scripts/run_extend.py)
- **Result set:** `results/extend/<doc_id>.json`
- **API:** Extend (`https://api.extend.ai`), `x-extend-api-version: 2026-02-09`
## No natural-language prompt
Extend is a configured extraction product, not a chat model, so there is no free-text
prompt to commit. The task is expressed entirely through an **extractor** created from the
benchmark schema. The committed configuration is:
- `baseProcessor: extraction_performance`
- `baseVersion: 4.1.1`
- `parseConfig.engine: parse_performance`
## Schema handling
`schemas/<doc_id>.json` is transformed into Extend's accepted schema subset
(`transform_schema` / `transform_node`):
- strip `$schema`, `examples`, `default`, `title`, and any `x_*` keys
- primitives become nullable unions (`["string", "null"]`); enums gain a `null` member
- `format: "date"` becomes `extend:type: "date"`
- every object sets `additionalProperties: false`; arrays and nested objects recurse
- the reserved top-level property name `id` is renamed on the Extend side and mapped back
in the output
## Run procedure
Each run uploads the source file with a **fresh `file_id`** (the first `/extract` on a
file id caches the parse output, so reusing it would silently serve a stale parse) and
creates a uniquely named extractor so the current schema is always used. The runner then
calls `/extract`, polls `/extract_runs/<id>` until `PROCESSED`, and maps the output back
to the original field names. Cost is derived from reported credits at
`$0.0125`/credit.
## Run knobs (environment)
- `EXTEND_API_KEY` (required, for your own Extend workspace)