Code and Change Review Assistance for Pre-Sales Technical Proposals: Workflow Orchestration

The data for this category primarily comes from customer interview records, public tender documents, vendor product materials, and historical project

What Data for This Category Looks Like

The data for this category primarily comes from customer interview records, public tender documents, vendor product materials, and historical project proposals. Daily output documents include technical proposal documents, customer requirement research forms, quotation lists, and demo scripts. Fields cover technical routes, implementation boundaries, quotation details, demo scenarios, and more. Updates follow individual project cycles, typically completed per project or weekly. Core associated roles include system integrator pre-sales consultants, solution architects, and sales teams. Teams adjust proposal details based on customer requirements, covering core links such as requirement clarification and solution boundary design.

Constraints Imposed by These Characteristics on Workflow Orchestration

Data for this category is scattered and updated per project. The workflow must support storage and retrieval of multi-source temporary data, and must configure variables to store temporary fields such as customer requirements and vendor parameters. Documents include multiple types of structured fields. The workflow must split processing nodes by field type to avoid cross-field data confusion. The update rhythm aligns with individual project cycles, so the workflow must support content adjustments triggered by project nodes to adapt to on-demand iteration of pre-sales proposals. Proposal errors directly affect bidding outcomes, so the workflow must include a verification link to block over-range commitments. It must also record nodeId to locate abnormal links and ensure process traceability.

How to Configure Settings

Configuration ItemRecommended SettingRationale
Batch Execution Trigger TimingTriggered upon completion of project phase nodesAligns with the phase-based update rhythm of pre-sales proposals to avoid repeated execution
variables Storage ScopeVisible only to the current workflow instanceIsolates proposal data across different projects to prevent cross-project information leakage
Timeout Threshold720 secondsCovers the duration of generation, verification, and format conversion for large technical proposals, calibrated based on actual testing
Node Auto-Retry CountFirst 2 attemptsAddresses temporary network fluctuations or interface call errors, while retaining the possibility of continued process execution
nodeId Log SwitchFull node recording enabledFacilitates rapid location of abnormal process links to meet traceability needs after pre-sales proposal errors
Long Text Generation Chunk Size800–1200 charactersAdapts to the processing limit of the workflow tool in FastGPT v4.17.0, avoiding overload from single-processing tasks

Three Common Misconfigurations

  • Phenomenon: Batch execution nodes have no output results, and the interface displays "No matching trigger condition". Cause: Trigger timing is configured as scheduled triggering directly instead of being bound to project phase nodes, which cannot adapt to the on-demand execution rhythm of individual projects.
  • Phenomenon: Format confusion and content truncation occur after long text generation. Cause: A reasonable chunk size is not configured, exceeding the character limit for single processing by the tool, leading to abnormal text truncation.
  • Phenomenon: Variable updates fail to record the call count for categorized questions, and the corresponding fields are empty. Cause: The instance visibility permission for variables is not enabled, preventing the storage of count data within the current workflow, or the count trigger is not bound to the call node of the corresponding categorized question.

How to Verify Proper Configuration

  • Trigger a project phase node, check whether the batch execution node starts as expected, and confirm that the trigger timing configuration is correct.
  • Generate a test proposal containing multiple long text segments, check whether the output format is complete, and confirm that the chunk size configuration adapts to the current tool's processing capabilities.
  • Initiate a simulated call for a categorized question, check whether a corresponding count field is generated within variables, and confirm that variable storage and trigger logic are working normally.
  • View the nodeId log, confirm that all process nodes have records, and abnormal links can be quickly located through the log.

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.