What this category of data looks like
The core documents for this category are bid documents, qualification certificates, business deviation tables, and technical deviation tables. Data is sourced from tender announcements, bidding documents, enterprise qualification databases, and supplier quotations, with an update frequency of once per order. Common daily fields include preset format items, qualification entries, quotation information, and clause response content set by the tenderer. Strict matching with the tenderer’s fixed format requirements is mandatory; any missing field or format non-compliance will affect the final bid result. The most time-consuming daily steps are clause-by-clause response, qualification material verification, and seal and packaging inspection.
What constraints these characteristics place on forms and interactions
Since data is sourced from single-tender announcements and documents and updated once per order, forms and interactions must support fast loading of single documents. Custom field matching must be completed via external system integration. Core document formats are strictly defined by the tenderer. The interaction link must collect required field information. Required field verification and format compliance checks are implemented by external business systems or subsequent workflow nodes to avoid missing fills or format errors. Qualification materials must accurately match entries in the enterprise qualification database. Interactions must support entry binding; automatic verification is completed by external business systems. The system must also adapt to parallel processing of multiple documents to ensure data from different tender orders is not mixed, and verification results meet the strict requirements of the bidding process.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from bid document preparation as required inputs; actual fields are determined per task | This node collects user input; when required fields are missing, interaction status must be checked to prevent subsequent nodes from failing to receive complete input |
User selection node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection; query and filtering of records related to bid document preparation must be implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 bid document preparation input samples covering complete filling, missing required fields, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined per actual task |
| External implementation item: Response timeout | Must be implemented separately by external systems; 600 seconds (test example) | Single bid document preparation process takes a long time, so sufficient processing time must be reserved |
| External implementation item: Context window size | Must be implemented separately by external systems; 8000–12000 token (test example) | Must fully load all associated content of tender announcements and bid documents |
| External implementation item: Document loading unit | Must be implemented separately by external systems; per single tender document (test example) | Adapt to the data feature of updating once per order to avoid mixing data across orders |
Three common mistakes
- Phenomenon: After the frontend submits the bid document form, the backend does not obtain the results of the external verification logic. Cause: The callback interface of the external verification logic is not configured correctly, and the frontend interaction and backend data link are disconnected.
- Phenomenon: The AI verification does not only verify the preset six procurement product information items as required, and additionally identifies irrelevant content. Cause: The system prompt of the workflow AI node does not strictly limit the verification scope, causing the model output to exceed preset rules.
- Phenomenon: Clause response items in bid documents are incorrectly categorized into irrelevant classifications, causing verification to not trigger. Cause: No classification mapping rules are configured for the clause response fields of bid documents, and the system prompt is not used to limit the model's recognition scope.
How to confirm correct configuration
- Under FastGPT v4.17.0, upload a simulated tender document, confirm that the form has collected preset field inputs, and external business systems or subsequent nodes will complete field matching and required field verification.
- Call the
userSelectnode to complete the qualification material selection interaction, confirm that the external business system has integrated with the enterprise qualification database and completed entry matching verification. - Run the verification process for a single bid document, confirm that the response time does not exceed 600 seconds.
- Test the AI verification node, confirm that it only verifies the preset six procurement product information fields and does not identify irrelevant content.
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.