Deployment and upgradesOfficial documentation7 min readDeployment and upgrades

FastGPT 4.13.2 Critical Application Bug Fixes

This document details the bug fixes included in the FastGPT 4.13.2 update for self-hosted deployments, addressing critical runtime and configuration error…

This document details the bug fixes included in the FastGPT 4.13.2 update for self-hosted deployments, addressing critical runtime and configuration errors that impacted prior versions.

Resolved Bug Details

The following table lists all fixed issues, with their core impact:

Bug DescriptionOperational Impact
LLM models defaulting to image support caused request errors.Text-only LLM inference requests failed when using models configured with default image support enabled.
Mongo watch was not re-triggered during multi-replica failover.Database event listening failed after primary replica failover, delaying cross-service sync operations.
Text chunking did not process the remaining LastText data after all strategies were exhausted.Unprocessed trailing text segments remained in datasets after completed chunking jobs.
Variable input field failed validation when number value was 0.Numeric input values of 0 were incorrectly rejected as invalid.
Incorrect parallel execution detection in complex workflow loops.Workflows with parallel nested loops were halted by false parallel execution limit detections.

Post-Upgrade Validation Steps

To confirm all fixes are active after upgrading, follow this step-by-step workflow:

  1. LLM Image Support Test: Configure an LLM model with default image support enabled, then submit a text-only inference request. Verify the request completes without error messages.
  2. Mongo Replica Failover Test: Initiate a primary replica failover in your MongoDB deployment. Confirm database event listening resumes automatically without manual service restarts.
  3. Text Chunking Test: Upload a dataset containing trailing unprocessed text segments. Run the chunking job and confirm all text, including final trailing segments, is properly divided into valid chunks.
  4. Numeric Zero Validation Test: Create a variable input field configured for numeric values, then submit 0 as the input. Confirm the input passes validation and is accepted for use.
  5. Complex Workflow Loop Test: Deploy a workflow with parallel nested loop branches. Execute the workflow and confirm no false parallel execution detection errors interrupt the run.

Key Deployment Notes

No additional configuration changes are required beyond standard self-hosted upgrade procedures for FastGPT 4.13.2. All fixes resolve issues present in prior 4.13.x releases without introducing new operational overhead.

Source: FastGPT official source

Applicability and version scope

Use this page for the documented Deployment and upgrades scenario. Confirm the FastGPT, dependency, API, and deployment versions in the official source before applying a change.

Safety guardrails

Use [REDACTED_CREDENTIAL] for credentials and private data. Confirm the documented environment and version before review.

Rollback guidance

Restore the prior technical-content authority snapshot. Restore saved configuration and data snapshots, then repeat the smallest verification scenario.