What this category of data looks like
This category of data comes from administrative law enforcement case handling systems, law enforcement recorder footage, the national enterprise credit information publicity system, and departmental supervision databases of law enforcement agencies such as market supervision, ecological environment, and transportation. It is updated daily. Daily documents include on-site inspection records, interrogation transcripts, evidence lists, administrative penalty prior notice letters, hearing notice letters, penalty decisions, and service receipts. The core fields focus on illegal fact determination, discretionary benchmark application, and penalty decision issuance. The length of individual documents varies widely. Some transcript-style documents are associated with multi-page structured records and unstructured footage content.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
The data sources for this category include multiple channels such as case handling systems, footage, and publicity systems, with daily updates. Multi-turn dialogue must adapt to the associated calling logic of different format documents. The span of daily document lengths is large, and some transcripts contain multi-page structured records. Long-text tasks are prone to triggering context overflow. It is necessary to strictly match illegal facts and penalty bases, while adapting to the party building learning Q&A scenario. Prompts must limit calls only to administrative law enforcement case file documents and associate party building learning related requirements, to avoid introducing irrelevant data. At the same time, unarchived law enforcement information must not be leaked during the dialogue process. The knowledge base permission scope must be clearly defined to prevent data leakage risks across batches or across institutions.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the average length of documents such as on-site inspection records and penalty decisions, to avoid abnormal single-chunk embedding |
| Overlap Length | 100–150 characters | Retains associated information between chunks, to prevent loss of context after long document chunking |
| Single Search Limit | Top 5 results | Matches the core document count for law enforcement case files, to avoid redundant retrieval results |
| Maximum Context Length | 4000–6000 tokens | Adapts to multi-turn dialogue history and case file content, meeting the information carrying requirements of law enforcement scenarios |
chatId | Bind to law enforcement case batch identifier | Ensures that dialogue context for case files in the same batch is only shared within that batch, to ensure data isolation |
variables | Pre-set keywords such as "administrative penalty case files" and "law enforcement transcripts" | Limits the retrieval scope to only documents of this category, to improve matching accuracy |
Three Common Mistakes
- Dialogue returns irrelevant data from non-target law enforcement agencies. The cause is failure to configure knowledge base permission isolation rules, and failure to limit the retrieval scope to only administrative law enforcement documents of this category.
- Long-text tasks show as completed normally in the interface but throw the
The value of "offset" is out of rangeerror. The cause is that the chunk length is set too large, leading to index out of bounds after long document chunking, and failure to adapt to the multi-page structure of transcript-style documents in this category. - Multi-file parameter passing fails when calling the dialogue interface, and multiple case file documents cannot be correctly associated. The cause is failure to organize the content structure of the
messagesparameter as required, and failure to correctly embed the association identifiers of multiple documents.
How to Confirm the Configuration is Correct
- Launch a Q&A for a single administrative law enforcement document, verify that the returned content only covers the specified document range, to confirm that the knowledge base permission configuration is effective.
- Submit a dialogue task for a long-text transcript-style document, check for index out of bounds errors, to confirm that the chunk configuration adapts to the document length.
- Launch a multi-turn dialogue for the same law enforcement batch, check that the context association logic complies with batch isolation requirements, to confirm that the
chatIdconfiguration is correct. - Test the dialogue interface with multi-file parameter passing, confirm that multiple case file documents can be correctly included in the retrieval scope.
The values provided here are common starting points, and should be evaluated 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.