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h2oGPTe

h2oGPTe is an AI-powered search assistant for your internal teams to answer questions gleaned from large volumes of documents, websites and workplace content.

Actions198

Overview

This node operation "List Chat Sessions for a Given Document" retrieves chat sessions associated with a specific document identified by its ID. It is useful in scenarios where you want to analyze or review conversations that have taken place regarding a particular document, such as customer support interactions, collaborative discussions, or AI-generated chats linked to the document.

Practical examples include:

  • Tracking all chat sessions related to a legal contract document to audit communication.
  • Fetching chat history for a product manual document to understand user queries.
  • Reviewing AI assistant conversations tied to a research paper document.

Properties

Name Meaning
Document ID The unique identifier of the document to filter chat sessions by.
Additional Options Optional parameters to control pagination:
- Offset Number of chat sessions to skip before starting to return results (default 0).
- Limit Maximum number of chat sessions to return (minimum 1, default 50).

Output

The output contains a JSON array of chat session objects related to the specified document. Each item represents a chat session with its metadata and details as returned by the API endpoint /documents/{document_id}/chats.

The node does not explicitly handle binary data for this operation.

Dependencies

  • Requires an API key credential for authentication to the h2oGPTe API.
  • The base URL for API requests is configured from the credential's URL.
  • The node sends a GET request to the endpoint /documents/{document_id}/chats with optional query parameters for offset and limit.

Troubleshooting

  • Missing or invalid Document ID: The operation requires a valid document ID; ensure it is provided and correctly formatted.
  • Authentication errors: Verify that the API key credential is correctly set up and has permissions to access document chat sessions.
  • Pagination issues: If no results are returned, check if the offset exceeds the total number of chat sessions.
  • API rate limits or timeouts: Large result sets may cause delays; use the limit and offset options to paginate results efficiently.

Links and References


This summary is based solely on static analysis of the provided source code and property definitions without runtime execution.

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