What this category of data looks like
This category of data originates from the national petition information system, local petition systems, the 12345 citizen hotline, grassroots governance platforms, and historical petition archives, with a daily update frequency. Daily processed documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and re-examination applications, resolution plans, and similar materials. Data fields include the requesting subject, matter content, handling milestones, policy basis association identifiers, and other standard fields. No additional custom statistical fields are included. Only structured and unstructured content necessary for business handling is retained.
Constraints imposed on multi-turn dialogue and prompt engineering by these characteristics
Multi-source data that updates daily requires multi-turn dialogue to synchronously integrate the latest petition business data, and avoid using expired policy bases. Fixed-format business documents require prompts to adapt to document fields and accurately extract policy-related content. The statutory handling process for petition matters requires multi-turn dialogue to track handling milestones, ensuring the dialogue does not deviate from statutory procedures. The uniqueness of data fields requires sessions to be bound to unique identifiers, preventing context confusion between different petition matters.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Permanently bind to the unique number of the petition matter | Each petition matter has an independent handling process; binding to a unique number ensures precise association between session context and the corresponding matter |
messages | Pass historical turn parameters via variables, truncate the first 6 turns of dialogue content | Petition handling dialogue turns are limited; excessive redundant content will consume context resources, retaining key turns improves response efficiency |
variables | Pass petition matter number, current handling link, policy basis document ID | Facilitates dynamic calling of corresponding exclusive data during dialogue, ensuring Q&A content aligns with the current handling matter |
| Maximum context window | 8000–12000 characters | Petition-related documents and dialogue content are abundant; sufficient context supports accurate matching of policy bases |
| Question optimization | Enabled | Petition requests may be ambiguously phrased; optimization improves the accuracy of policy basis matching |
| Single document recall limit | Top 5 entries | Petition policy bases do not require excessive entries; accurately matching the top 5 entries covers business handling needs |
Three common configuration mistakes
- Phenomenon: The model cannot accurately match the corresponding document content when policy clause names containing spaces are entered. Reason: The prompt does not explicitly require treating policy clauses as complete entities, and does not support space recognition rules.
- Phenomenon: Previous petition dialogue logs are lost after restarting the service or switching between sessions. Reason:
chatIdis not bound to the unique number of the petition matter, or session log persistence storage parameters are not configured. - Phenomenon: The accuracy of policy basis Q&A fails to meet expectations after connecting an external large model. Reason: The prompt is not customized based on the exclusive document types and handling processes of petition matters, and only uses a general prompt framework.
How to verify successful configuration
- Initiate a query containing a policy clause with spaces, and confirm whether the model accurately matches the corresponding document content.
- Create two sessions for petition matters with different numbers, initiate queries separately, and confirm that the contexts of the two sessions do not interfere with each other.
- Restart the FastGPT v4.17.0 service, and confirm whether previously created petition dialogue logs can still be viewed normally.
- Pass preset
variablesparameters, and confirm whether the model can correctly call the exclusive business data of the corresponding petition matter.
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.