What this category's data looks like
This category's data centers on the registration form, academic qualification certificate, and work experience certificate as the core materials. The sources are registration system entries and personnel file verification, and the update cadence advances with registration batches and review milestones. When materials enter the model access and configuration stage, the registration form plays the role of complete fields and signed receipt, the academic qualification certificate plays the role of consistency among institution, major, certificate number, and date, and the work experience certificate plays the role of start and end times, position, and employer seal. Field characteristics center on name, ID number, education level, graduation date, employer, profession engaged in, cumulative years, signature, and date. The name, quantity, and date of the same record in two materials must be aligned item by item, versions and dates must be synchronized, and missing signatures or receipts are intercepted.
Configuration and implementation checks
This step is executed by the server-side model channel configuration, outputting model binding relationships and channel responses. "Draft materials that can be issued and handover records" are then completed by subsequent AI nodes, code nodes, or humans. Models are divided into five types: language, indexing, reranking, speech synthesis, and speech recognition, and different steps bind different model types.
| Object | Check | Verification action |
|---|---|---|
| Registration form | Whether fields, dates, and signatures are complete, and whether the name, quantity, and date are consistent with the academic qualification certificate and work experience certificate | Check the channel configuration and key source, compare against the model name returned by the channel, and check whether maxContext and maxTokens are consistent with the names listed in the documentation |
| Academic qualification certificate | Whether institution, major, certificate number, and graduation date are aligned item by item with what is filled in the registration form, and whether versions and dates are synchronized | Check the type annotations in the model configuration, confirm that the indexing model and reranking model are bound to the retrieval step, and record the referenced text tokens of quoteMaxToken |
| Work experience certificate | Whether start and end times, position, employer seal, signature, and receipt are complete, and whether they match the cumulative years in the registration form | Check the binding relationship between toolChoice and the language model, and check whether the handover record is blocked when signatures or receipts are missing |
| Handover record | Whether the responsible person, version, date, and signed receipt are clear, and whether it can be handed to the next step for acceptance | Draft one according to the template and complete one handover to see whether missing items are blocked |
Three common errors
- Phenomenon: The name, quantity, and date of the same record do not match between the registration form and the work experience certificate. Cause: Material drafting did not align item by item according to the same field source.
- Phenomenon: The version of the academic qualification certificate was not synchronized, and the handover record still references the old date. Cause: Versions and dates were not updated with the review milestones.
- Phenomenon: Retrieval reports an error related to the indexing model. Cause: The indexing model and reranking model were not bound to the retrieval step, and the model type does not correspond to the step.
How to verify the setup
This feature acceptance: run one conversation and one retrieval, check the model identifiers in the responses, confirm that the binding relationships of the language model and indexing model are correct, and check the configuration records of maxContext, maxTokens, quoteMaxToken, and toolChoice.
Business test: draft one according to the template and complete one handover to see whether missing items are blocked.
- Check the channel configuration and key source, compare against the model name returned by the channel, and confirm that the model identifiers are consistent with the names listed in the documentation.
- Check the type annotations in the model configuration, and confirm that the five model types—language, indexing, reranking, speech synthesis, and speech recognition—are respectively bound to the corresponding steps.