What this category's data looks like
This page addresses the scenario of credit management for primary and secondary school teacher training. The materials include three types: training notices, credit recognition forms, and participant lists. A training notice usually contains the training name, start and end dates, organizing institution, number of class hours, and a signature/seal section; a credit recognition form contains the teacher's name, ID document number, training program, recognized class hours, recognition date, and review signature; a participant list contains serial number, name, unit, participation date, and sign-in or receipt traces. The materials mostly come from district/county teacher development institutions or school academic affairs departments, are updated by program batch, are centrally archived at the end of the semester, and the latest sealed version prevails. After entering the model access and configuration stage, the three types of materials serve as knowledge base retrieval sources, respectively taking on the roles of basis provenance, recognition results, and personnel scope, and answers need to refer back to specific materials and entries.
Configuration and implementation checks
This step is executed by the server-side model channel configuration, outputting model binding relationships and channel responses. The basis entries that can refer back to the original text are then completed by subsequent AI nodes, code nodes, or manual work. 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 |
|---|---|---|
| Training notice | Whether it is consistent with the credit recognition form in training name, start and end dates, and number of class hours, and whether it has a signature/seal | Compare the two materials item by item for name, dates, and class hours, and check whether the signature/seal or receipt is complete |
| Credit recognition form | Whether it matches the participant list in teacher name, unit, and recognized class hours, and whether it has a review signature | Cross-check recognized class hours and participation records by name and unit, and inspect the signature field and recognition date |
| Participant list | Whether it is consistent with the training notice in program name, participation date, and number of people, and whether the version is current | Check the list version against the notice batch, inspect sign-in or receipt traces, and record the number of people and number of list entries |
| Model type | Whether it corresponds to the step to be used, and check the type label in the model configuration | Check the type labels such as language, indexing, and reranking, and check whether the values of maxContext, maxTokens, and quoteMaxToken match the step |
Three common errors
- Symptom: the name or class hours of the same training do not match across two materials. Cause: the materials were filled in by different handlers, without cross-checking and unified naming.
- Symptom: the recognition form references an old version of the participant list. Cause: after the list was updated, it was not synchronously replaced, the version identifier was missing, and it was not rechecked against the current version during archiving.
- Symptom: materials lack signatures or receipts, and basis entries cannot be referred back to. Cause: archiving was carried out before the signature/seal process was completed, so retrieval can only obtain the unsigned version.
How to verify the setup
This feature acceptance: run one conversation and one retrieval, check whether the model identifier in the response is consistent with the model name returned by the channel, check the configuration of maxContext, maxTokens, quoteMaxToken, and toolChoice, and confirm that the language model and indexing model are respectively bound to the conversation and retrieval steps.
Business test: ask a basis question spanning materials and see whether the answer gives a provenance that can be referred back to.
- Check the channel configuration and key source, confirm that the model identifier is consistent with the name listed in the document, and avoid retrieval errors related to the indexing model or authentication failures.
- Check the fields, dates, and signatures of the training notice, credit recognition form, and participant list, record differences in name, quantity, and date for the same record across two materials, and refer back to the original entries.