What the data for this category looks like
Data for this category originates from enterprise contract management systems, compliance risk databases, legal and regulatory repositories, case management systems, and reporting platforms. Data is updated on a monthly basis. Daily circulated documents include compliance risk lists, contract legal review opinions, legal opinions on major matters, compliance review forms, and violation report investigation results. A single compliance document typically includes core fields such as the subject of the matter, risk description, and review conclusion. Data is stored as a mix of structured entries and unstructured text.
What constraints these characteristics impose on the multi-turn dialogue and prompts link
Data for this category is stored across multiple business systems. Multi-turn dialogue requires retrieving compliance-related data across sources, which creates clear constraints on context source labeling and permission isolation. The monthly update frequency requires the dialogue system to support incremental synchronization mechanisms to reduce resource consumption from full refreshes. Different types of compliance documents have significant field differences, so prompts must adapt to the format logic of different documents such as review opinions and risk lists. Core links such as compliance risk identification and contract review have high time consumption, so multi-turn dialogue must retain key business context to avoid redundant information interfering with model judgment. Additionally, the consequences of errors in compliance scenarios are severe, so the dialogue system must verify context completeness.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 token | Multi-turn dialogue for compliance reviews usually includes multiple documents and historical interactions; this range can cover complete business context. FastGPT v4.17.0 supports this configuration range |
| Conversation history grouping method | Store grouped by chatId | Compliance scenarios center conversations around a single business matter; grouping by session ID avoids cross-session context confusion |
| Single recall document limit | Top 5 entries | Core compliance links require focusing on key risk information; excessive recall will distract model judgment. 5 entries balances coverage and information density |
| Dynamic variable passing | Pass matter number and document type using variables | Passing business variables dynamically allows prompts to adapt to different compliance scenarios such as contract review and risk screening |
| Knowledge base synchronization frequency | Monthly full synchronization + daily incremental synchronization | Compliance data is updated monthly; this configuration ensures data source timeliness while reducing synchronization resource usage |
Three common misconfigurations
- Symptom: The debug preview works normally, but the prompt indicates no knowledge base selected during formal use. Cause: The compliance knowledge base was not correctly bound during formal deployment, or the
messagesparameter does not carry the knowledge base association identifier. - Symptom: Irrelevant context from cross-business matters appears in the conversation history, or historical records cannot be traced back to a single matter. Cause: Conversation history was not stored grouped by
chatId, leading to context confusion between different compliance matters. - Symptom: Conversation logs cannot be cleaned by a single business matter, or all compliance conversation records are accidentally deleted. Cause: No log cleaning rule configured by session ID dimension, and global cleaning logic was used.
How to confirm the configuration is properly set up
- Initiate a simulated contract review conversation, check whether the conversation history is grouped by a single session ID, with no context from other compliance matters mixed in.
- Enter the knowledge base management page, confirm that the compliance knowledge base has been bound to the current application, and synchronization tasks are executed at the preset frequency.
- Test multi-turn dialogue context retention: initiate multiple rounds of questions about the same compliance matter consecutively, check whether the model can associate historical interaction content.
- Try calling the log cleaning function, verify that only the conversation logs of the specified session ID can be deleted, and global logs are not affected.
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.