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from meshapi import (
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    BatchRequestItem,
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    CreateBatchParams,
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)
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# 1. Create the batch
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batch = client.batches.create(
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    CreateBatchParams(
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        requests=[
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            BatchRequestItem(
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                custom_id="req-1",
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                body={
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                    "model": "openai/gpt-4o-mini",
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                    "messages": [{"role": "user", "content": "Say hi."}],
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                },
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            ),
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            BatchRequestItem(
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                custom_id="req-2",
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                body={
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                    "model": "openai/gpt-4o-mini",
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                    "messages": [{"role": "user", "content": "Say bye."}],
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                },
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            ),
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        ],
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        completion_window="24h",
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    )
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)
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# 2. Poll later
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status = client.batches.get(batch.id)
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if status.status == "completed" and status.output_file_id:
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    output_bytes = client.files.content(status.output_file_id)
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    # output_bytes is JSONL