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The Sharded/Parallel Counting feature solves the problem of monolithic, complex prompts during the "Counting" phase of data extraction. The pipeline now natively supports passing a list[str] of multiple specialized prompts for a single step. The system executes these prompts concurrently (in "shards"), achieves consensus on each shard individually, and then merges and deduplicates the final results. - Serialization Utils: Allow `resolve_step_param` to return `list[str]`. - Direct Execution: Updated `count_entities` to detect lists, spawn shards concurrently via `asyncio.gather`, and merge/deduplicate via sorted JSON hashing. - Batch API Submission: Dynamic request generation tags sharded requests with `_shard_X` and flattens them for unified submission. - Batch API Fulfillment: Uses regex to group results into shard buckets, achieves per-shard consensus, and deduplicates the merged output. Fixed a `BatchProcessResult` model bug lacking the `errors` field.
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