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FastGPT 4.15.4 Official Bug Fix Documentation

4.15.4 Bug Fix Overview This document outlines all resolved functional and stability issues included in the FastGPT 4.15.4 self-hosted release, tailored f…

4.15.4 Bug Fix Overview

This document outlines all resolved functional and stability issues included in the FastGPT 4.15.4 self-hosted release, tailored for engineers and technical decision managers maintaining self-hosted FastGPT instances. All fixes address specific gaps identified in prior versions, with no disruptive changes to core existing workflows.

Categorized Bug Fix Reference Table

Fix IDAffected FeatureResolved Issue
1Chatbox Streaming InterfaceFixed display of system tool errors during active streaming responses
2Full Run Details PanelCorrected incorrect Markdown parsing of plain-text tool responses that caused unintended formatting issues
3Embedding Model ManagementFixed scenario where switching embedding models triggered reindexing but did not rebuild vectors for existing dataset data
4MinIO Storage OperationsFixed bulk deletion failures using prefix paths caused by XML entity expansion limits, and added request timeout protection for storage operations
5Enterprise Verification FlowFixed bank account validation errors during enterprise verification processes
6Agent V2 Tool ConfigurationResolved inconsistencies between the displayed Agent V2 tool list and its associated prompt text
7Deployment Configuration FilesFixed syntax errors in deployment .yaml script files

Post-Upgrade Validation Checklist

To confirm all fixes are successfully applied after upgrading to FastGPT 4.15.4, follow these sequential steps:

  1. Initiate a chat session with a tool-integrated assistant, and verify no system tool error messages appear during streaming response delivery.
  2. Execute a complete workflow run, then access the full run details panel to confirm plain-text tool responses render without unintended formatting issues.
  3. Navigate to the dataset model settings, switch the active embedding model, and confirm the system automatically rebuilds existing dataset vectors without requiring manual reindexing.
  4. Target a stored dataset with a defined storage prefix, initiate a bulk deletion operation, and confirm the task completes without failure.
  5. Complete a test enterprise verification flow, and confirm bank account validation processes complete successfully.
  6. Configure an Agent V2 assistant, review the configured tool list and associated prompt text to confirm alignment between both fields.
  7. Validate your deployment .yaml script files using your standard infrastructure orchestration tools to confirm no syntax errors are resolved.

Source: FastGPT official documentation and source