What the data for this category looks like
Documents involved in this category include compliance risk lists, legal contract review opinions, major issue legal opinions, compliance review forms, and violation report investigation reports. Data sources include enterprise contract management systems, compliance risk databases, law and regulation libraries, case management systems, and reporting platforms. The data update frequency is monthly. Most document structures include fields such as compliance clauses, review conclusions, and clue details. There is no unified fixed unit, and it is necessary to match the native data formats of each system.
What constraints these characteristics impose on the "model access and configuration" link
Monthly updated data has a stable scale, so context parameters adapted for batch processing must be configured to avoid timeouts caused by loading too many historical documents at once. Heterogeneous document formats from multiple sources have large differences, so compatible format mapping rules must be configured to ensure the model can uniformly parse content exported from different systems. High-risk review scenarios have high requirements for output accuracy, so model generation logic must be constrained to prevent deviation from the core goals of compliance review. Declaration materials and cases include exclusive compliance fields, so matching rules must be clearly defined to avoid the model confusing non-compliance business fields.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the batch context requirements of monthly updated compliance case files, avoids exceeding model window limits |
maxTokens | 2000–3000 token | Matches the output length requirements of declaration material review, ensures complete coverage of review conclusions |
temperature | 0.1–0.3 | Reduces output randomness, ensures consistency and accuracy of compliance review conclusions |
AIPROXY_API_ENDPOINT | Enterprise-specific proxy address | Adapts to internal data isolation requirements, ensures compliance data does not flow to external nodes |
AIPROXY_API_TOKEN | Encrypted exclusive secret key | Ensures interface access permissions, prevents unauthorized calls from accessing sensitive compliance data |
quoteMaxToken | 1500 token | Limits the maximum length of referenced documents, focuses on the review basis of core compliance clauses |
Three common errors
- Calls return 404 or 500 status codes, with the symptom of no interface request response or service exception. The cause is incorrect configuration of
AIPROXY_API_ENDPOINTorAIPROXY_API_TOKEN, resulting in the proxy node failing to recognize the request or failing permission verification. - Review conclusions do not reference core compliance documents, with the symptom of output content lacking clear regulations or case file basis. The cause is that the
maxContextvalue is too small, failing to load enough historical case files or regulation data as reference. - Generated review conclusions include content outside the compliance scope, with the symptom of business recommendations beyond the scope of declaration material review. The cause is that the
temperaturevalue is too high, causing model output randomness to exceed controllable ranges.
How to confirm the configuration is complete
- Initiate a proxy interface test request, check whether the returned status code meets expectations, and confirm that
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENare configured correctly. - Upload a single compliance review form for testing, check whether the context content loaded by the model covers the target review document, and verify the rationality of the
maxContextconfiguration. - Adjust the
temperatureparameter and compare two output results, confirm that the consistency of the output content meets the review requirements. - View system operation logs, confirm that there are no error messages such as interface timeouts or permission exceptions, and verify the stability of the overall configuration.
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.