> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/10.-integrate-connect-your-stack/integration-s3-export.md).

# Send results to S3

```python
import json
from datetime import datetime, timedelta
import boto3
from layerlens import Stratix

client = Stratix()
s3 = boto3.client("s3")
BUCKET = "my-evaluation-archive"

# Page through recent evaluations
since = datetime.utcnow() - timedelta(hours=24)
page = 1
while True:
 response = client.evaluations.get_many(page=page, page_size=100, sort_by="submitted_at", order="desc")
 evaluations = [e for e in response.evaluations if e.submitted_at >= since]
 if not evaluations:
 break

 for evaluation in evaluations:
 # Get all per-prompt results
 all_results = client.results.get_all(evaluation=evaluation)
 payload = {
 "evaluation": evaluation.dict(),
 "results": [r.dict() for r in all_results],
 }
 s3.put_object(
 Bucket=BUCKET,
 Key=f"evals/{evaluation.id}.json",
 Body=json.dumps(payload, default=str).encode(),
 )

 if page >= response.pagination.total_pages:
 break
 page += 1
```

Wire from any scheduler (cron, GitHub Actions, Lambda) — see [daily smoke eval](/9.-improve-tune-the-system/daily-smoke-eval.md) for the scheduling pattern.

## See also

* [Python SDK reference](/6.-build-wire-your-code/sdk-python.md)
* [SDK reference: results](https://github.com/LayerLens/gitbook-full/blob/main/13-reference/sdk-python/results.md)
* [SDK reference: evaluations](https://github.com/LayerLens/gitbook-full/blob/main/13-reference/sdk-python/evaluations.md)


---

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