Data Profile for This Category
Data for this category originates from government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. Commonly processed documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. Data is updated daily. Documents include fixed fields such as disclosure attribute, confidentiality level, release time limit, and affiliated column. All documents must comply with relevant government disclosure specifications.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The data characteristics of this category create multiple constraints for the multi-turn dialogue and prompt engineering workflow. Data is updated daily and sourced from dispersed locations, so the dialogue flow must connect in real time to the latest policy repository and public disclosure directory data. This avoids calling outdated content. Diverse document types require differentiated prompt rules for specific scenarios such as policy interpretation drafts and press releases. Fixed fields including disclosure attribute and confidentiality level must be mandatory parameters in dialogue context. This ensures generated content meets government compliance requirements. The release time limit constraint requires embedding a verification step in the dialogue flow. This prevents generating content that exceeds the statutory release period.
Configuration Guidelines
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context window length | 8000–12000 token | Adapts to the long text processing capability of FastGPT v4.17.0, avoiding truncation of key policy content |
variables | Includes disclosure attribute, confidentiality level, affiliated column fields | Ensures generated content matches the fixed field requirements of government documents |
messages | Appends user input and system responses by conversation turn | Retains multi-turn dialogue context to support continuous interaction |
| Multi-turn dialogue history retention duration | 24 hours | Matches the daily data update rhythm, avoiding association with outdated historical content |
chatId | Binds exclusive identifiers for government departments | Isolates dialogue contexts across different departments to ensure data security |
| Prompt template | Embeds government disclosure compliance verification logic | Automatically checks the disclosure attribute and confidentiality level of generated content |
Three Common Misconfiguration Scenarios
- Scenario: Generated public disclosure directory entries contain leftover English prompt text, or generated content cannot adapt to Chinese government terminology. Cause: The prompt template does not limit the language scope, and does not require Chinese government terminology as mandatory vocabulary.
- Scenario: Subsequent generated policy interpretation drafts in multi-turn dialogue do not link to the confidentiality level confirmed in the previous turn, creating a risk of accidental disclosure of classified content. Cause: The
messagesparameter is not configured correctly, and field parameters from historical dialogue are not appended to the current session. - Scenario: The model selection menu for the text extraction module only displays GPT-series models, while GLM-series models configured via access channels are not shown. Cause: The model configuration for the text extraction module does not sync with the global model library, and is only bound to the default GPT-series models.
How to Verify Successful Configuration
- Confirm that the
variablesparameter includes fixed government document fields such as disclosure attribute, confidentiality level, and affiliated column, and that the fields match the actual business scenario. - Initiate two consecutive dialogue turns to verify that subsequent responses link to the previous round's input content, confirming that the
messagesparameter configuration is active. - View the model selection menu to confirm that all accessed non-GPT-series models are displayed in all relevant modules, confirming that cross-module configuration synchronization is complete.
- Test long text input to confirm that the context window does not truncate key policy content, confirming that the window length configuration meets business requirements.
The values listed 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.