Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
This category of data originates from social insurance handling systems, personal benefit records, labor relations and work injury recognition systems, and electronic social security card platforms. The update frequency is daily. Commonly processed documents include benefit application forms, payment period certificates, retirement approval forms, work injury recognition materials, and unemployment insurance benefit application materials. Data fields cover benefit category, verified amount, applicant identity information, review status, payment cycle, and more. Units include yuan for monetary values, month for cycles, and others. The data volume of a single document fluctuates based on business complexity.
What constraints do these characteristics impose on model access and configuration
Multi-data source access requires configuration that supports cross-system data pulling and integration to avoid data silos. The daily update frequency requires configuration adapted to incremental synchronization logic to ensure the timeliness of ledger data. Diverse document types require configuration adapted to multi-format parsing rules to ensure complete and accurate field extraction from various declaration and certification materials. Sensitive fields related to benefit amounts and identity information require enabling content verification links to avoid incorrect verification. Ledger summary requires integration of multiple business data entries, so configuration must reserve sufficient context capacity to ensure coherent summary logic.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the business data volume of cross-system integration, ensuring context integrity for ledger summary |
maxTokens | 4000 token | Limits the output length of a single report generation, avoiding exceeding the processing limit for social security business documents |
quoteMaxToken | 1500 token | Restricts the length of referenced original business data, ensuring summary content closely aligns with declaration and review materials |
temperature | 0.2–0.4 | Reduces generation randomness, ensuring accuracy of benefit verification and ledger data |
AIPROXY_API_ENDPOINT | Fill in the officially specified address according to the deployment environment | Adapts to compliance network requirements for social security business, ensuring stable interface calls |
AIPROXY_API_TOKEN | Exclusive key assigned according to permissions | Ensures identity legitimacy for interface calls, preventing unauthorized access |
Three common misconfigurations
- Issue: In multi-round benefit verification conversations, subsequent replies do not link to the applicant's payment period information mentioned earlier. Cause: The
maxContextparameter is not configured correctly, resulting in an overly small context window that cannot retain critical early business information. - Issue: Repeated thought process output appears in the generated ledger report. Cause: The option to turn off the model's built-in thought display is not configured, causing redundant content to be mixed into the report.
- Issue: After configuring
AIPROXY_API_ENDPOINTto a non-compliant address, the interface call returns a 403 status code. Cause: A proxy address that meets the compliance requirements of social security business is not used, resulting in identity verification failure.
How to confirm the configuration is complete
- Initiate a parsing test for a single benefit application document, check that the extracted fields match the original document, confirming that the field extraction configuration is active.
- Initiate a cross-system data integration test, verify that multi-source data can be correctly summarized into ledger entries, confirming that the data source connection configuration is working properly.
- Generate a simulated report, check that the output content has no redundant thought processes, confirming that the content generation configuration meets requirements.
- Initiate 10 consecutive interface call tests, confirm that the interface responses are stable and error-free, confirming that the proxy and key configurations are valid.
The values provided here are common starting points, and should be evaluated 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.