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Run the FastGPT v4.8.1 Initialization Script

This article records configuration and changes from a historical FastGPT release.

This article records configuration and changes from a historical FastGPT release. Use it to understand that release, and consult the release notes for your installed and target versions before applying dependencies, configuration, or migration steps.

Overview

This page details the execution of the FastGPT v4.8.1 initialization script, a utility for resolving prior inconsistencies in database collection names for self-hosted FastGPT deployments. The script targets the /api/admin/initv481 endpoint to reset table names and align the database structure with current requirements.

Prerequisites

Complete all the following checks before running the initialization script:

  1. Access to a terminal with the curl tool installed.
  2. Retrieval of the rootkey value from your FastGPT deployment’s environment variables.
  3. Knowledge of your FastGPT domain host URL, including the HTTPS protocol.
  4. Verification that the dataset.trainings database table contains no existing data.
  5. Pause all active FastGPT platform operations to prevent data conflicts during initialization.

Execution Command

To trigger the initialization workflow, send a POST HTTP request using the following curl command. Replace the placeholder values with your deployment’s specific details:

curl --location --request POST 'https://{{host}}/api/admin/initv481' \
--header 'rootkey: {{rootkey}}' \
--header 'Content-Type: application/json'

Command Component Breakdown

  • The --location flag ensures the request follows any server-issued redirects.
  • The request targets the v4.8.1 admin initialization endpoint /api/admin/initv481.
  • The rootkey header authenticates the request using your deployment’s secure admin key.
  • The Content-Type header specifies the request uses JSON format, as required by the endpoint.

Critical Usage Guidelines

This initialization process resets database table names to resolve prior collection name inconsistencies. It does not handle existing data in the dataset.trainings table, so failing to clear this table prior to execution may cause unintended data loss or deployment errors. Pausing active operations ensures no concurrent database modifications interfere with the initialization workflow, preserving data integrity.

Source: FastGPT official documentation and source