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docs update s3

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Ishaan Jaff 2025-03-24 09:45:44 -07:00
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6
docs/my-website/docs/completion/video.md
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@ -90,7 +90,7 @@ curl "https://api.litellm.ai/v1/chat/completions" \
## 2. Existing file in S3 and process on Vertex + Bedrock
For files already in S3, you can avoid downloading and re-uploading by specifying the `source` parameter:
For files already in S3, you can avoid downloading and re-uploading by using a presigned URL:
```bash
# custom_llm_provider is required
@ -98,12 +98,12 @@ curl -X POST "https://api.litellm.ai/files" \
-H "Authorization: Bearer sk-1234" \
-H "Content-Type: application/json" \
-d '{
"source": "bedrock://your-bedrock-bucket/path/to/mydata.jsonl",
"source": "https://your-bucket.s3.amazonaws.com/path/to/mydata.jsonl?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=...",
"custom_llm_provider": ["vertex_ai"] # Required: specify target custom_llm_provider
}'
```
This performs a direct copy from S3 to the specified custom_llm_provider(s), which is more efficient than downloading and re-uploading.
This performs a direct copy from the S3 presigned URL to the specified custom_llm_provider(s), which is more efficient than downloading and re-uploading.
After the S3 file is copied, you can use the returned file_id in your /chat/completions request: