What the Core Data for This Category Looks Like
The core data for this category comes from the national basic catalog of government service items, administrative licensing item list, and local government service item database, with monthly updates. Daily maintained documents include the basic government service item catalog, implementation list, service guide, standard material catalog, flowcharts, and frequently asked questions. Each document contains fixed fields such as item code, implementing entity, acceptance conditions, application material list, and handling process. The length of individual documents varies significantly, and fields must strictly match the standard format released by official authorities.
Constraints on Multi-turn Dialogue and Prompt Engineering
Monthly updated official data sources require dialogues to prioritize calling the latest local data to avoid returning outdated content. The presence of multiple structured documents and fixed fields requires multi-turn dialogues to limit context length, preventing redundant information from interfering with the model's accurate matching of fields. Unique identifiers such as item codes require each dialogue task to be bound to a dedicated identifier, avoiding cross-item dialogue interference. Additionally, the output of this link directly affects online service handling calibers, requiring prompts to strictly constrain the model to generate content based on official data, and not to add undisclosed information without authorization.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Generated based on "item code + execution batch" | Government service items are uniquely identified by their codes, and batches match the monthly update rhythm to avoid confusion across item dialogues |
messages | Limited to the first 6 rounds of user-assistant dialogue + current task snippet | This category has many document fields and frequent updates; overly long context can cause the model to deviate from official service caliber |
variables | Populated with "basic item catalog version, implementation list update date" | Data sources are monthly updated official databases; dynamic variables ensure dialogues are based on the latest versions |
| Number of single recall documents | Top 3 entries | Individual service guide documents are lengthy; too many recalled entries will exceed the context carrying capacity |
| Dialogue file expiration time | 7 days | Matches the monthly update frequency, regularly refreshes context to sync the latest item data |
| Prompt template | Fixed as "Answer based on official government service item documents, only use the provided field information" | Avoid the model generating unauthorized service handling calibers, ensure output aligns with official requirements |
Three Common Misconfigurations
- Phenomenon: A token limit exceeded error occurs during dialogue calls, and returned results are truncated. Cause: The context threshold is not configured based on the average length of category documents, and the number of rounds and length of
messagesare not restricted. - Phenomenon: The service guide content returned by the dialogue does not match the current official catalog. Cause: The dialogue file expiration time parameter is not adjusted, and old file data older than 7 days is reused.
- Phenomenon: When batch executing multiple AI dialogue nodes, task results are overwritten or fields are empty. Cause: An independent
chatIdis not configured for each dialogue task, causing confusion in dialogue history across different items.
How to Verify Successful Configuration
- Check the
chatIdidentifier in the dialogue history to confirm that each item corresponds to a unique "item code + execution batch" prefix. - Trigger a test dialogue to verify whether the output contains the exclusive item field information populated via
variables. - Check the context length to confirm that no redundant dialogue history exceeding the threshold appears, and the results are not truncated.
- Adjust the dialogue file expiration time to 30 days, and verify that dialogue context older than 7 days can be retained to match long-term maintenance needs.
The values provided here 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.