What the data for this category looks like
This category's data mainly comes from the content audit backend, user reporting channels, public regulatory policy documents, and internal sample libraries. Updates occur daily or immediately following policy changes. Daily produced and used documents include audit rule entries, violation disposal guidelines, user appeal records, and quality inspection review reports. Most document fields include rule numbers, trigger thresholds, sample tags, disposal descriptions, and similar items. There are no unified fixed units, and values adjust based on specific rule types and business scenarios.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
Decentralized data sources and inconsistent update rhythms require multi-turn dialogue contexts to support quick association with the latest audit rules and appeal records. Daily documents mostly use an itemized structure, so prompts must adapt to chunked rule content to avoid confusion between audit clauses with different numbers. Sample libraries and quality inspection reports have large field differences, so dialogues must support dynamic switching of context dimensions. Compliance scenarios require retention of complete interaction logs to facilitate subsequent regulatory review and internal quality inspection.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context window size | 8000–12000 token | Adapts to the total length of audit rules, appeal records, and interaction logs under FastGPT v4.17.0, avoiding truncation of critical compliance information |
messages | Retain the most recent 15–20 interaction records | Interactions in content audit scenarios mostly involve rule queries and sample reviews; excessive history will interfere with current judgments |
variables | Inject the current audit rule number and business scenario tag | Accurately match corresponding rule entries and narrow the context retrieval scope |
| Attachment upload limit | Maximum 100 MB per file, supports PDF and TXT formats | Matches common file specifications for audit rule documents and quality inspection reports |
chatId | Bind the session to the corresponding audit project ID | Enables binding of the session to a specific business scenario, facilitating subsequent log tracing and compliance review |
| Session timeout setting | 3600 seconds | Covers the full interaction duration of a single complex appeal review, avoiding mid-interruption |
Three common mistakes
- Phenomenon: When calling the
api/v1/chat/completionsinterface, the specified audit rule content associated with the knowledge base tag cannot be returned. Cause: The corresponding business scenario and rule tag are not configured in thevariablesparameter, resulting in the context failing to match the correct data source. - Phenomenon: The chat interface cannot upload audit rule documents or appeal record attachments. Cause: The configured single-file upload limit is lower than the actual size of the document to be uploaded, or the corresponding file format support is not enabled.
- Phenomenon: Some historical interaction links are missing from the exported session interaction records. Cause: The complete session log retention configuration is not enabled, only the current round of interaction data is retained, and historical
messagesparameter content is not stored synchronously.
How to confirm the configuration is correct
- Initiate a query containing an audit rule number, check whether the
messagesparameter includes the historical interaction records of this query, and confirm that the context window has not truncated critical information. - Upload a document that matches the business scenario, check whether the interface normally receives and loads the attachment content, and confirm that the upload configuration matches the document specification.
- Call the
api/v1/chat/completionsinterface, pass the presetvariablesparameter, and check whether the returned result is associated with the audit rule of the corresponding knowledge base tag. - Initiate a complete appeal review dialogue, check whether the session is bound to the corresponding
chatId, and confirm that the complete interaction log can be retrieved later using this ID.
The values provided are common starting points and should be evaluated against the relevant samples for the target deployment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.