---
title: Upload AI/ML Model to LEM
slug: api-docs/upload-aiml-model-to-lem
docTags: 
createdAt: 2026-05-11T22:15:36.905Z
---

# Upload AI/ML Model to LEM

**UI trigger**: LEM -> Edge Lifecycle Management -> AI/ML Models -> *Upload New Model*.

:::BlockQuote
LEM uses a **pre-signed S3 URL** pattern instead of the LE resumable-session pattern. Step 1 gets a signed URL; Step 2 uploads directly to object storage; Step 3 registers the model in LEM.
:::

## Step table

| Step | Name in Collection               | Method | Endpoint                                                                 | Body / Notes                                                        | Output                       |
| ---- | -------------------------------- | ------ | ------------------------------------------------------------------------ | ------------------------------------------------------------------- | ---------------------------- |
| 1    | Step 1 of Upload New AI/ML Model | `POST` | `{{LEM_URL}}/api/v1/file/{{project_id}}/mlModel/{{filename}}/upload-url` | `{"projectId": "...", "fileName": "model.zip"}`                     | `{"url": "<signed_s3_url>"}` |
| 2    | Step 2 of Upload New AI/ML Model | `PUT`  | `<signed_s3_url from Step 1>`                                            | Binary `.zip` model file bytes. URL carries AWS SigV4 query params. | 200 OK (S3 direct upload)    |
| 3    | Step 3 of Upload New Model       | `POST` | `{{LEM_URL}}/api/v1/file/{{project_id}}/mlModel/{{filename}}`            | `{"description": "..."}` - registers the model in LEM               | Model available in LEM       |

## Auth notes

- Steps 1 and 3 use `X-AuthToken: {{LEM_AdminApiToken}}`.
- Step 2 (S3 PUT) uses the embedded AWS SigV4 signature in the URL - **no additional auth header needed**. Sending `X-AuthToken` to S3 will fail.