Workflow Orchestration for Multi-App Routing Unified AI Platform

The platform sources multi-app routing data from all independent AI application instances created within it. This includes knowledge base question

What data this category includes

The platform sources multi-app routing data from all independent AI application instances created within it. This includes knowledge base question answering, conversation generation, tool calling, and other types.

The platform syncs data update frequency with application status. It automatically updates data whenever application configuration is modified, or when applications are added or deleted.

A single data entry’s document structure includes these fields: application unique identifier, application name, call entry address, permission scope, and timeout threshold. The application unique identifier uses a string format. The timeout threshold uses seconds as its unit.

How these characteristics impose constraints in workflow orchestration

Multi-app routing data originates from pre-created independent AI application instances. Workflow orchestration requires first verifying the existence and availability of the target application. Direct calls to application instances that have not completed configuration are not permitted.

Data updates sync with application status. The application ID bound to a workflow must exactly match the actual application identifier within the platform. A mismatch triggers a call failure.

The application permission scope field restricts workflow calling methods. Only workflow nodes that meet the permission configuration can initiate requests.

The application timeout threshold field constrains workflow node timeout settings. Settings must align with the application’s own timeout configuration. This prevents scenarios where the node times out but the application continues running.

This feature is available normally in versions above v4.8.10 (exclusive).

How to configure parameters

Configuration ItemRecommended ApproachRationale
targetAppIdUnique string identifier of the target application within the platformEnsures calls target actual existing application instances, avoids invalid requests
callTimeout300–600 secondsMatches the target application’s timeout configuration, prevents mismatch between node timeout and application execution
authTypeapiKey or internalSelect based on the target application’s permission configuration, ensures compliance with calling permission requirements
retryCount0–3 timesAddresses temporary network fluctuations or brief application unavailability, prevents single call failure from directly terminating the workflow
requestMethodPOSTComplies with the standard calling format of FastGPT workflow nodes, ensures correct request formatting

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common configuration errors

  • When calling a workflow API bound to a knowledge base assistant, a null value is returned. The cause is that the target application ID bound to the workflow does not exactly match the actual application identifier within the platform, or the target application has been deleted. This issue may occur in workflow nodes of versions above v4.8.10.
  • A quote type error error is thrown when referencing knowledge base variables. The cause is that the passed variable format does not meet the parameter requirements of the target application. For example, unstructured text is passed when the target application requires formatted JSON parameters.
  • The default timeout threshold of the HTTP request node is 300 seconds and cannot be adjusted. The cause is that the advanced configuration panel of the node was not accessed to modify the timeout parameter. This option is not provided in the basic configuration.

How to verify correct configuration

  • Navigate to the multi-app routing node configuration page of the workflow, and check whether targetAppId exactly matches the unique identifier of the target application within the platform.
  • Initiate a test call, and check whether the returned result conforms to the output format of the target application, with no null values or error messages.
  • Adjust the workflow’s timeout parameter to confirm alignment with the target application’s timeout configuration, preventing mismatch between node timeout and application execution.
  • Verify calling scenarios with different permission types, confirming compliance with the target application’s permission configuration requirements, with no permission denied errors.
  • Test the feasibility of adding HTTP requests in loop nested nodes, confirming that the workflow’s advanced configuration has enabled relevant permissions.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.