Reference only; verify against the target FastGPT release and deployment documentation.
What Data for This Category Looks Like
Data for this category mainly comes from state-owned assets supervision information systems, enterprise asset management systems, property rights exchange systems, evaluation agency reports and financial statements, with a monthly update frequency. Daily processed documents include property registration forms, asset evaluation reports, property rights transfer plans, on-site transaction announcements, and asset disposal approval forms. Most data fields include asset ownership number, evaluation base date, transaction reserve price, approval node status, etc. Some fields must meet the unified format requirements of state-owned assets supervision.
What Constraints Do These Characteristics Impose on the "Model Access and Configuration" Link
The multi-source heterogeneous data sources of this category require model access to support importing documents in different formats from state-owned assets supervision systems, property rights exchange systems, and other platforms. The monthly update frequency requires that the knowledge base synchronization configuration can trigger on a fixed cycle. Documents contain professional fields such as asset ownership number and transaction reserve price, which requires the model to accurately match the meaning of business fields during invocation to avoid extraction deviations. The sensitivity of state-owned asset data and the severity of potential error consequences require that key management complies with compliance requirements, and a complete error capture and retry mechanism must be configured to ensure the stability of process guidance.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapt to the context requirements of long documents such as property rights transfer plans and asset evaluation reports, ensuring the model can fully read content related to business processes |
maxTokens | 2000–3000 token | Meet the reply length requirements of business process guidance, avoiding truncation of key process steps beyond the model's output limit |
quoteMaxToken | 1000–1500 token | Accurately extract core field content from property registration forms and asset disposal approval forms, ensuring guidance information matches actual business documents |
temperature | 0.1–0.3 | Reduce reply randomness, ensure the accuracy of business process guidance, and avoid expressions inconsistent with state-owned assets supervision requirements |
AIPROXY_API_TOKEN | Assign independent keys according to business scenarios | Avoid session and record sharing caused by multiple business scenarios sharing keys, complying with compliance management requirements for state-owned asset data |
AIPROXY_API_ENDPOINT | Configure according to the official node of the selected model service provider | Ensure the stability and response speed of model calls, adapting to the real-time guidance needs of state-owned asset business processes |
Three Common Mistakes
- An
[] is too short - 'messages'error occurs during model testing. The cause is that the initial message structure of the conversation context is not configured correctly, resulting in an empty or insufficiently long message array passed to the model. - A 422 error is returned when initiating a conversation, but the model test shows success. The cause is that the knowledge base for business process guidance is not correctly associated with the document data of this category, or the context length configuration exceeds the model's supported range.
- Sharing
AIPROXY_API_TOKENleads to multi-user session and record sharing. The cause is that independent keys are not assigned according to business scenarios, violating the access isolation requirements of state-owned asset data.
How to Confirm the Configuration Is Complete
- Import typical documents of this category (such as property registration forms and asset evaluation reports) and check whether the fields extracted by the model match the document content.
- Initiate a simulated business process conversation and check whether the process steps output by the model conform to the business logic of this category.
- After configuring independent keys, verify that session records of different test accounts cannot access each other, confirming that key isolation is effective.
- Adjust the
maxContextparameter, test the reading effect of long documents, and confirm that no content truncation or recognition deviation occurs.
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.