Requirements and Design Document Drafting for Architecture Design and Technical Solutions: Workflow Orchestration

The data for this category mainly comes from historical traffic data, service topology, monitoring metrics, and business growth plans. Daily produced

What the data for this category looks like

The data for this category mainly comes from historical traffic data, service topology, monitoring metrics, and business growth plans. Daily produced documents include technical solutions, architecture diagrams, capacity assessment reports, and technical review minutes. Unlike code and interface documents for backend service development, the core focus of these documents is cross-service boundary definition and long-term evolution planning. Data update frequency is usually once per month or synchronized with major requirement changes. Documents typically include core content such as constraint conditions and solution selection basis. There is no unified mandatory format, but they must cover architecture planning requirements for the full project lifecycle.

Data for this category comes from multiple types of systems and business documents. A single input may reach a volume of 100,000 words or 10,000 lines, and update rhythm fluctuates with business requirements. variables can be used to configure data flow between nodes, integrating multi-source business data. Workflow orchestration must adapt to multi-source data integration logic, support segmented processing of large-volume documents and multi-round interactions, and link review nodes to complete closed-loop feedback on opinions. In addition, architecture design documents must clarify cross-service boundaries and long-term expansion planning. Workflow nodes must reserve expansion fields to collect constraint conditions for different projects, ensuring the implementability and expandability of the solution.

How to configure settings

This configuration applies to FastGPT v4.17.0.

Configuration ItemRecommended ValueRationale
Global Variable BindingBind variables as the output of the historical traffic data nodeAutomatically pull the latest business data for solution derivation
Node ID AssociationSpecify nodeId as the technical review minutes nodeAutomatically link the closed-loop review opinion process
Chunk Length800–1200 charactersAdapt to segmented processing of 100,000-word Word documents, avoiding overloading a single node
Maximum Number of Lines Processed Per Run1000–1500 linesMatch the processing boundary of 10,000-line Excel data, preventing timeouts
Context Window Size4000–8000 tokensSupport context retention requirements for multi-round conversations
File Reference ToggleDisable automatic reference markersRemove redundant reference content in generated technical solutions

Three common mistakes

  • Symptom: Timeout interruptions occur when the workflow processes 100,000-word Word documents. Cause: No reasonable chunk length is configured, and the input data for a single node exceeds the processing threshold.
  • Symptom: The workflow returns all historical results from multi-round question answering. Cause: No result output rule is set to return only the last node output, and the full context is retained by default.
  • Symptom: Print logs cannot be viewed after running a code node. Cause: Node log viewing permissions are not enabled, or log output is not configured to the specified panel.

How to confirm the configuration is complete

  • Upload a test large-volume document to verify whether the workflow can complete segmented processing and multi-round conversations normally.
  • Trigger the workflow, then check whether the output result only includes the content of the last question and answer.
  • Review the generated technical solution document to confirm there are no redundant reference markers.
  • Run the code node, view the print logs through the corresponding panel, and verify whether the debugging logic works normally.

The values provided are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.