SL LLMs icon

SL LLMs

StrangeLogic LLM Node

Overview

This node, named "StrangeLogic LLM Node," provides two main operations: generating text responses from a large language model (LLM) and processing videos via an external API. The "Process Video" operation allows users to submit a video URL along with a prompt to an AI service that processes the video content accordingly.

Typical use cases include:

  • Analyzing or extracting information from videos by providing a descriptive prompt.
  • Automating video content understanding or summarization tasks.
  • Integrating video processing capabilities into workflows where video URLs are dynamically provided.

For example, a user might input a video URL of a lecture and a prompt asking for a summary of key points, and the node will return the processed output from the AI service.

Properties

Name Meaning
Video URL URL of the video to be processed.
Prompt A prompt that you want the LLM to respond to; in the video operation, it guides processing.

Note: The "Model Type" property is not applicable for the "Process Video" operation and thus hidden when this operation is selected.

Output

The node outputs a JSON object containing the response from the external AI service's /process-video endpoint. This typically includes the processed results based on the video and prompt submitted.

The exact structure of the JSON depends on the external API's response but generally represents the analysis or transformation of the video content as requested.

No binary data output is produced by this operation.

Dependencies

  • Requires an API key credential for authentication with the external AI service.
  • The node makes HTTP POST requests to the service domain's /process-video endpoint.
  • The service domain and API key must be configured in the node credentials before execution.

Troubleshooting

  • Missing Credentials: If no API credentials are provided, the node throws an error "No credentials returned!" Ensure the API key credential is properly set up.
  • API Request Failures: Network issues or invalid video URLs may cause request failures. Errors from the API are caught and can either stop execution or be returned as error JSON if "Continue On Fail" is enabled.
  • Invalid Video URL: Providing an incorrect or inaccessible video URL may result in errors or empty responses from the API.
  • Prompt Issues: An empty or irrelevant prompt may lead to unhelpful processing results.

To resolve these issues:

  • Verify API credentials and connectivity.
  • Confirm the video URL is accessible and valid.
  • Provide clear and relevant prompts for better processing outcomes.

Links and References

  • No direct links available from the source code. Users should refer to the documentation of the external AI service used for video processing for more details on supported features and response formats.

Discussion