What the data for this category looks like
Daily documents for this category include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation reports. They cover structured fields and unstructured text content. Data sources include enterprise contract management systems, compliance risk databases, law and regulation libraries, case management systems, and reporting platforms. The update frequency is once per month. Synchronized content includes newly added compliance clauses, review cases, and risk screening results from the current month. Document fields mostly relate to compliance risk levels, review entities, case numbers, and similar items. There are no unified standardized unit requirements. Processing must follow the native field formats of each individual system.
What constraints these characteristics impose on the model access and configuration link
Multi-source and heterogeneous data sources require model access to adapt to the interface formats and permission rules of different systems, to avoid data synchronization exceptions. The monthly update frequency means the knowledge base refresh cycle must match the business rhythm. Regular synchronization tasks must be configured to ensure the timeliness of compliance data referenced by the model. Long-text compliance documents require the model's context processing capability to cover complete clauses and review opinions, preventing key information from being truncated. High-risk error consequences require the model's output to be rigorous. Hallucination generation must be strictly restricted to ensure the compliance of business process guidance.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Matches the long-text context requirements of compliance documents, avoiding truncation of key legal clauses and review opinions |
temperature | 0.1–0.3 | Reduces the probability of model hallucinations, ensures the rigor of compliance conclusions, and meets the risk control requirements of legal scenarios |
maxTokens | 4000–6000 token | Adapts to the length requirements of long output content such as major issue legal opinions and violation report investigation reports |
quoteMaxToken | 1500–2000 token | Ensures that recalled reference content such as compliance risk lists, original law and regulation texts, and past review cases is fully presented |
toolChoice | auto | Allows the model to automatically call compliance knowledge base tools to complete risk identification and process guidance, improving processing efficiency |
AIPROXY_API_ENDPOINT | Fill in the official address provided by the selected large model service provider | Ensures the stability of interface calls, and meets the compliance access requirements of state-owned enterprises and Chinese public sector entities for external services |
Three common errors
- Attempting to enable the
visionparameter for image understanding functionality results in failed calls. This is because the functionality is only supported in commercial edition deployment packages, and the open-source version does not include the corresponding capability. - Calling a custom large model interface returns a 429 status code, interrupting the business process guidance. This is because concurrency limit configuration is missing, and requests exceeding the concurrency threshold are not queued or retried.
- Attempting to add the speech recognition model SenseVoiceSmall shows it cannot be selected in the interface. This is because the model has not passed FastGPT's model access verification; model adaptation configuration must be completed first.
How to confirm the configuration is complete
- The model access management page within FastGPT is accessed, and the fill formats of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENare verified against the service provider’s requirements, with no empty values or format errors present. - A test request for compliance risk identification is initiated, and the returned result is checked for complete reference content, confirming that the configurations of
maxContextandquoteMaxTokendo not cause text truncation. - A request exceeding the concurrency threshold is simulated, and the system is checked for current-limiting prompts or queuing mechanisms, confirming that the concurrency limit configuration is active.
- The execution logs of the knowledge base synchronization task are reviewed, confirming that the monthly compliance data update task completes normally and matches the data update frequency requirement.
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.