What the data for this category looks like
Data for this category originates from government information disclosure platforms, official agency archive systems, document management systems, departmental business ledgers, and officially published policy documents. Daily processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, response letters, delivery receipts, and administrative reconsideration response materials. Document fields cover applicant information, application matters, basis for public attribute judgment, response content, and explanation of relief channels. Data updates follow no fixed cycle, and are adjusted in sync with new application handling and regulatory updates.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Data for this category is scattered across multiple internal systems and public platforms, and has no fixed update cycle. This requires multi-turn dialogue to bind to the session context of a single government information disclosure by application, to avoid information confusion across different applications. Documents are primarily case-specific handling materials, so prompts must focus on application matters, public attribute judgment, and explanation of relief channels, and must not deviate from core requests. The authority of data sources also requires that policy basis cited in dialogue outputs must strictly match official documents, and must not be inferred independently. Complete session records must be retained for subsequent review.
How to configure the setup
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind the unique identifier of a single application | Ensure that multi-turn dialogue context is only associated with the current government information disclosure by application, to avoid confusion of session records across different applications |
messages | Retain the first 20 conversation records | Cover the full process of application communication, including applicant questions, supplementary requirements, and response feedback |
variables | Inject application matters, applicant information, and current handling status | Enable the model to accurately match the policy and regulatory basis for the current individual case |
| Maximum context | 8000–12000 characters | Accommodate the full content of multi-turn dialogue and relevant policy documents, to avoid truncation of critical information |
| Single search limit | Top 3 results | Focus on the most relevant policy documents and handling cases, to avoid interference from redundant information |
| Question optimization | Calibrate based on actual testing | Convert colloquial questions from applicants into standardized query expressions that comply with government disclosure regulations, to improve retrieval accuracy |
Three common configuration errors
- Phenomenon: After adjusting the dialogue context length parameter, multi-turn dialogue still fails to retain context memory for the current government information disclosure by application. Cause: The unique session identifier for a single application is not bound via
chatId, resulting in confusion and overwriting of conversation records across different applications. - Phenomenon: When calling the non-login dialogue window, the model output does not display incrementally in streaming mode. Cause: The streaming trigger parameter for dialogue interaction is not configured correctly, and the default setting does not adapt to the real-time response requirements of government affairs scenarios.
- Phenomenon: Retrieving policy basis returns too many irrelevant documents, preventing the model from accurately judging the public attribute of the current application. Cause: The number of returned results for a single search is not limited, introducing redundant policy content unrelated to the current application.
How to verify successful configuration
- Launch a simulated government information disclosure by application conversation, check that
chatIdgenerates a unique identifier for each session, to ensure that conversations for different applications do not interfere with each other. - View the conversation record panel, confirm that the
messagesparameter retains complete multi-round interaction content, with no critical information truncated. - Input a colloquial question from an applicant, check that the question optimization function converts it into a standardized query expression that complies with government disclosure regulations.
- Verify the single search limit configuration, confirm that the number of returned policy documents meets the preset screening requirements.
The values provided 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.