What this category of data looks like
Data sources for this category include government information disclosure platforms, agency archive systems, document management systems, departmental business ledgers, and relevant regulations of the Regulations on Government Information Disclosure. Update frequency is irregular, aligned with new application processing workflows and archived document generation. Daily documents include government information disclosure application forms, correction notices, third-party opinion solicitation letters, reply letters, service receipts, and administrative reconsideration response materials. Each document has fixed fields: application forms contain applicant information and application content, while reply letters include public attribute judgments and relief pathway explanations. The overall structure changes with processing stages.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Decentralized data sources and inconsistent structures require multi-turn dialogue to link application and archived documents across different systems. Context parameters must be used to bind complete conversation history. Irregularly updated data requires the dialogue module to retrieve latest government documents and regulations in real time, to avoid using outdated information. Processing stages involve multi-turn interactions such as application correction and opinion solicitation. Each round of application content and communication information must be retained to ensure the model can accurately track individual case progress. Errors directly relate to administrative relief, so prompts must strictly limit response scope to avoid judgments beyond legal authority.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context Window | Bind the messages parameter, retain the first 10 rounds of dialogue | Government information application-based disclosure processing typically includes multiple rounds of interaction such as application submission, correction, and opinion solicitation. The first 10 rounds cover the complete communication context of an individual case |
| Variable Binding | Enable the variables parameter, bind application case number and applicant information | Exclusive information for different application cases must be distinguished to avoid cross-contamination of context across sessions |
| Document Chunk Length | 800–1200 characters | Aligns with the paragraph length of government documents, preventing complete public attribute judgment statements from being truncated |
| Document Chunk Overlap Length | 150–200 characters | Ensures adjacent chunks have overlapping content, preventing key information from being split between chunks |
| Single Retrieval Count | Top 5 results | Matches the precision requirement for retrieving application information, avoiding irrelevant historical archived documents |
| Session Isolation | Enable the chatId parameter | Assigns independent session identifiers to each application case, preventing interference between dialogue data of different applications |
Three common misconfigurations
- Dialogue interfaces cannot display attached images from government documents. This occurs because no parsing module adapted to government PDFs and scanned documents is configured, preventing image elements from unstructured documents from loading and rendering.
- The model confuses context information across different application cases during multi-turn dialogue. This occurs because the
chatIdparameter is not used correctly for session isolation, leading to cross-use of dialogue history from different applications. - Model responses exceed the scope of the knowledge base, including judgments not based on the government information disclosure regulations. This occurs because the prompt does not explicitly bind the exclusive case fields in the
variablesparameter, and does not limit responses to only using uploaded government document content.
How to confirm configurations are correctly set
- Upload a standard government information disclosure application form, initiate a test dialogue, and confirm the dialogue interface can normally display text and image elements within the document.
- Initiate two or more test dialogues, input different application content, and confirm the model only responds based on uploaded government document content, without introducing external irrelevant information.
- Switch between different test sessions, input the same application content, and confirm that responses for each session only associate with the current session's context, without confusing information from other applications.
- Review the configured prompt template, confirm that the
variablesandchatIdparameters have been bound, and that response scope and session isolation rules are clearly defined. - Confirm that the current FastGPT version is v4.17.0 to ensure compatibility with the configured parameters.
The values provided here are common starting points, and should be measured against their 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.