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# Upload OTLP Logs to Fileset

POST http://localhost:8080/apis/files/v2/workspaces/{workspace}/filesets/{name}/otlp/v1/logs

Upload OTLP logs to a specified fileset in JSON or Protobuf format.

Supports both application/json and application/x-protobuf content types.

Reference: https://docs.nvidia.com/nemo-helix/documentation/reference/api-reference/otlp/upload-otlp-logs-apis-files-v-2-workspaces-workspace-filesets-name-otlp-v-1-logs-post

## Request

### Path parameters

- `workspace` (string, required)
- `name` (string, required)

### Query parameters

- `artifact_base_path` (string, optional) — Folder inside the fileset to nest logs under

## Response

### 200

Successful Response

- `partialSuccess` (OtelExportLogsPartialSuccess, optional) — Partial success response details.

## Errors

### 422 Unprocessable Entity Error

Validation Error

- `detail` (list of ValidationError, optional)

## Types

### OtelExportLogsPartialSuccess

Partial success response details.

- `rejectedLogRecords` (integer, optional, default: 0) — Number of rejected log records
- `errorMessage` (string, optional) — Human-readable error message

### ValidationError

- `loc` (list of ValidationErrorLocItems, required)
- `msg` (string, required)
- `type` (string, required)
- `input` (any, optional)
- `ctx` (map from string to any, optional)

### ValidationErrorLocItems

- string
- integer

## Examples

**Response**

```json
{
  "partialSuccess": {
    "rejectedLogRecords": 0,
    "errorMessage": "string"
  }
}
```

**SDK Code**

```python
import requests

url = "http://localhost:8080/apis/files/v2/workspaces/default/filesets/my-fileset/otlp/v1/logs"
headers = {"Content-Type": "application/json"}
payload = "{\"resourceLogs\":[{\"resource\":{\"attributes\":[{\"key\":\"job\",\"value\":{\"stringValue\":\"my-job\"}},{\"key\":\"job_attempt\",\"value\":{\"stringValue\":\"1\"}},{\"key\":\"job_step\",\"value\":{\"stringValue\":\"train\"}},{\"key\":\"job_task\",\"value\":{\"stringValue\":\"0\"}}]},\"scopeLogs\":[{\"logRecords\":[{\"timeUnixNano\":\"1767225600000000000\",\"severityText\":\"INFO\",\"body\":{\"stringValue\":\"Training started\"}}]}]}]}"

response = requests.request("POST", url, headers=headers, data=payload)
response.raise_for_status()
print(response.json())

```

```javascript
const response = await fetch("http://localhost:8080/apis/files/v2/workspaces/default/filesets/my-fileset/otlp/v1/logs", {
  method: "POST",
  headers: {"Content-Type": "application/json"},
  body: "{\"resourceLogs\":[{\"resource\":{\"attributes\":[{\"key\":\"job\",\"value\":{\"stringValue\":\"my-job\"}},{\"key\":\"job_attempt\",\"value\":{\"stringValue\":\"1\"}},{\"key\":\"job_step\",\"value\":{\"stringValue\":\"train\"}},{\"key\":\"job_task\",\"value\":{\"stringValue\":\"0\"}}]},\"scopeLogs\":[{\"logRecords\":[{\"timeUnixNano\":\"1767225600000000000\",\"severityText\":\"INFO\",\"body\":{\"stringValue\":\"Training started\"}}]}]}]}",
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

```