What data in this category looks like
Policy and regulatory basis data for government and enterprise IT services mainly comes from official government release channels, public documents from industry regulatory authorities, and internal compliance documents. Updates are triggered by policy release timelines, with no fixed update cycle. Most documents use a chapter-based structure, including fields such as policy document number, issuing authority, effective date, and specific clauses. Content is divided by clauses and chapters, and the length of individual documents varies widely.
What constraints do these characteristics impose on the multi-turn dialogue and prompt engineering link
Policy documents include clear document numbers, effective dates, and clause divisions, with precise, non-vague content. This requires multi-turn dialogue to retain policy citation identifiers from historical interactions to avoid context confusion. The wide variation in individual document length can lead to large volumes of text being retrieved in a single operation. The total effective content length within the context window must be limited to prevent model processing overload. Policy updates are triggered by release timelines, so prompts must guide the model to prioritize matching the most recently retrieved document versions to avoid referencing outdated content. Additionally, Q&A in government and enterprise scenarios must strictly correspond to clause fields. Prompts must explicitly require the model to label specific clauses of the cited source.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapts to the typical retrieved combination length of government and enterprise policy documents, avoiding model processing overload |
| Single search limit | Top 3 results | Controls the number of retrieved policy documents to ensure the model focuses on core policy basis |
| Question optimization | Enabled and limited to policy query scenarios | Filters irrelevant questions to focus on matching policy clauses and document numbers |
| Variable binding | Enable the variables parameter | Passes precise fields such as policy document numbers and issuing authorities to improve answer accuracy |
| Conversation history retention | Retain the most recent 5 rounds of messages | Covers most interaction rounds of government and enterprise policy Q&A while maintaining concise context |
| Session ID generation | Generate chatId per session | Ensures context isolation for multi-turn dialogue, preventing content confusion across different sessions |
Three common configuration mistakes
- Issue: After configuring prompts, policy document numbers are not cited as required, and answers are vague and unsupported. Cause: Prompts are not bound to the dedicated policy Q&A scenario, or prompts do not explicitly require labeling specific clause fields for citations.
- Issue: LaTeX-formatted content displays correctly in debug preview, but only raw code is shown after publishing. Cause: Format rendering adaptation is not enabled during the publishing process, or front-end dialogue modules fail to properly load rendering dependencies.
- Issue: Sessions experience persistent lag and cannot return policy Q&A results. Cause: The session lifecycle of
chatIdis not limited, or the context window configuration exceeds system resource thresholds.
How to verify configurations are properly set
- Initiate multi-turn questions containing specific policy document numbers. Verify that each round of answers accurately matches the corresponding clauses and that context association logic is consistent.
- Enter the publishing configuration section. Confirm that format rendering-related options are enabled according to the scenario, and verify the display effect of LaTeX-formatted content.
- Generate a new
chatIdto initiate a session. Confirm that historical content from multi-turn interactions is correctly retained and no context confusion occurs. - Check custom field binding configurations. Confirm that the
variablesparameter is associated with precise fields required for policy Q&A.
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.