What Data for This Category Looks Like
This category of data primarily originates from the group’s internal OA system, state-owned assets supervision and reporting platform, and business ports of invested and controlled enterprises. There are two update cycles: State-owned capital operation ledger data is updated by the 10th of each month per monthly supervision requirements. Attendance, performance, and salary data related to employee services are synchronized daily. Document structures include structured operation reports, unstructured office minutes and policy documents. Fields include paid-in capital (unit: ten thousand yuan), employee ID (pure numeric format), monthly revenue (numeric type), and others. There is no uniform fixed single-document length; it varies based on business scenarios.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The mixed characteristics of structured and unstructured data require that multi-turn dialogue clearly distinguish trigger logic for structured and unstructured queries. Prompts must specify retrieval rules separately. For monthly updated state-owned capital operation data, the dialogue context window must be limited to the most recent 12 months to avoid calling outdated supervision reporting data. For daily synchronized employee service data, prompts must explicitly specify calling attendance and salary databases updated on the current day. Decentralized business data from invested enterprises requires multi-turn dialogue to associate context with the corresponding entity, avoiding cross-entity data confusion. Fields with clear units require prompts to mandate that output results match the corresponding units, preventing inconsistent unit issues.
How to Configure
Configuration references for FastGPT v4.17.0 are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Window | Previous 20 dialogue turns or 8000–10000 characters | Adapts to the context length required for multi-turn office consultations at state-owned capital operation companies, avoiding exceeding model processing limits |
| Multi-turn Dialogue Context Retention Duration | 7200 seconds | Covers the full cycle of a single employee’s office consultation, avoiding interference from expired data |
chatId | Automatically generated per dialogue session | Ensures multi-turn dialogue context is bound to a unique session, preventing cross-session data interference |
variables | Bound to exclusive variable prefixes for state-owned capital operation ledgers and employee service databases | Clearly distinguishes retrieval scopes for different data sources, preventing cross-database confusion |
| Latex Rendering Switch | Enable front-end rendering configuration | Resolves issues where Latex fails to display properly after publishing, matching rendering effects in debug preview |
messages | Append messages for Human and System roles in order of dialogue turns | Complies with standard interaction formats for multi-turn dialogue, ensuring prompts take effect in sequence |
Three Common Misconfigurations
- Issue: Configured prompts do not take effect during dialogue, and responses deviate from preset rules. Cause:
variablesor the role order ofmessagesare not correctly bound, causing prompts to not load with priority. - Issue: Latex formats display correctly in debug preview, but only show raw source code after publishing. Cause: Global front-end Latex rendering configuration is not enabled, and the publishing environment does not synchronize rendering settings from the debug phase.
- Issue: Output content from multiple modules is mixed in the front-end dialogue interface, and cannot be split by business scenario. Cause: Exclusive output identifiers are not bound to different modules via
variables, and prompts do not specify the module that content belongs to.
How to Verify Successful Configuration
- Initiate multi-turn queries containing state-owned capital operation data or employee service information, and verify that response content matches preset data source scopes and field units.
- Input Latex-formatted formulas, and verify that rendering effects are consistent between debug preview and publishing environments.
- Test dialogue inputs from different roles, confirming that rules for the System role and user inputs for the Human role are correctly distinguished.
- Initiate queries across business scenarios, confirming that output content from different modules is split and displayed per preset logic.
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.