Actions41
- Step/Generation Actions
- Thread Actions
- User Actions
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- Prompt Actions
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Overview
This node integrates with the Literal AI API to manage user data. Specifically, the "User - Get Many" operation retrieves multiple user records from the Literal AI service. This is useful when you want to fetch a list of users for reporting, synchronization, or batch processing purposes.
Practical examples:
- Fetching a list of users to display in a dashboard.
- Retrieving user data to synchronize with another system.
- Exporting user information for analysis or backup.
Properties
| Name | Meaning |
|---|---|
| Return Item Count | Maximum number of user records to return (minimum 1). |
Output
The output contains a JSON object with a content field holding the response from the Literal AI API's user listing endpoint. This typically includes an array of user objects, each representing a user with their associated details as provided by the API.
Example structure of the output JSON:
{
"content": {
"users": [
{
"id": "string",
"identifier": "string",
"metadata": { /* user metadata object */ },
// other user fields...
}
// more user objects...
],
"totalCount": 123,
// possibly other pagination or metadata fields
}
}
No binary data output is produced by this operation.
Dependencies
- Requires an API key credential for authenticating with the Literal AI API.
- The node uses the official Literal AI client library (
@literalai/client) to interact with the API. - Proper configuration of the API key credential within n8n is necessary before use.
Troubleshooting
Common issues:
- Invalid or missing API key: The node will fail to authenticate with the Literal AI API.
- Exceeding the maximum allowed limit: If the requested number of users exceeds API limits, the request may fail or be truncated.
- Network connectivity problems can cause timeouts or failures.
Error messages and resolutions:
"Authentication failed": Verify that the API key credential is correctly set up and valid."Request limit exceeded"or similar: Reduce theReturn Item Countvalue to comply with API restrictions.- JSON parsing errors: Ensure that any input parameters expected as JSON are properly formatted (not applicable directly here but relevant for other operations).
Links and References
- Literal AI API Documentation (replace with actual URL)
- Literal AI Client Library on npm