Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data sources include national public resource trading platforms, local public resource trading platforms, project approval systems, and bidding supervision systems. The update frequency is daily. Documents processed daily include bidding announcements, pre-qualification documents, bidding documents, submission documents, bid evaluation reports, successful bid candidate notices, and successful bid result announcements. Core fields cover section information, qualification requirements, bill of quantities, bid evaluation expert records, and objection and complaint content. Documents are divided into standardized files for different stages according to the legal bidding process.
What constraints these characteristics impose on the "workflow orchestration" link
Multi-source data requires configuring cross-platform access nodes to ensure compatibility with document formats from different systems. The daily update rhythm requires the workflow trigger mechanism to adapt to the daily synchronization time window, avoiding repeated processing of expired data. Multiple types of standardized documents need to be split into processing nodes by stage, matching the parsing logic of different documents. The professionalism of core fields requires that when binding variables in the workflow, exclusive identifiers for bidding must be used to avoid field confusion. The objection and complaint handling process requires configuring branch jump nodes to adapt to the processing logic of different complaint scenarios.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind section ID, bid evaluation expert ID, objection number | Match core business identifiers of bidding documents to ensure accurate data extraction |
| Node trigger timing | Trigger at 2:00 AM daily | Adapt to the daily updated data rhythm, avoid peak business hours |
| Data source sync limit | Top 1000 pending documents | Match the reasonable load of single workflow processing, avoid resource overload |
| Document chunk length | 800–1200 characters | Adapt to the professional paragraph structure of bidding documents, optimize parsing efficiency |
| Exception branch trigger | Failed node bound by nodeId | Accurately locate workflow exception links, quickly trigger manual intervention |
| Timeout threshold | 600 seconds | Cover the parsing duration of complex bid evaluation reports, avoid unexpected workflow interruptions |
Three Common Mistakes
- Clicking the button to retrieve global variables returns an empty value. The reason is that the initial assignment of
variableswas not completed before the workflow started, resulting in no valid value bound to the variable when the node is called. - Workflow debugging errors include the "Dangerous behavior" prompt. The reason is that valid data source access permissions were not configured, triggering security verification interception when calling the public resource trading platform interface.
- Workflow runs abnormally after modifying workflow component parameters. The reason is that the component logic corresponding to
nodeIdwas not verified after modification, resulting in parameter conflicts or mismatched node configurations.
How to Confirm the Configuration is Correct
- Trigger a workflow test, upload a standard bidding document, and check whether the section ID and bid evaluation expert ID bound to
variablescan be extracted correctly. - Simulate triggering the workflow at 2:00 AM daily, confirm that the data source synchronization node can pull the latest bidding announcement data without duplicates or omissions.
- Simulate a scenario where bid evaluation report parsing fails, confirm that the workflow can jump to the exception handling branch and trigger the corresponding alert.
- View the workflow running logs, confirm that long document parsing does not trigger timeout errors, and matches the set timeout threshold.
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 2026-09-28.