What Data for This Category Looks Like
This category of data originates from the National Petition Information System, local petition systems, the 12345 Citizen Hotline Platform, grassroots governance platforms, and historical petition archives. The update frequency is daily. Daily documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and re-review applications, and resolution plans. Data fields mostly cover the requesting party, matter details, handling progress, and policy basis. There is no unified standardized unit, and adaptation processing is required based on the structured content of individual documents.
Constraints Imposed on Model Access and Configuration
Decentralized data sources require compatibility with multiple system interface formats during access. Daily updated batch data requires configuration to support incremental synchronization. Significant structural differences across various business document types require adaptation to vector recall logic for different fields. The legal handling process for petition matters requires model outputs to strictly match official document formats, to avoid non-procedural content. The large volume of historical archive data requires controlling context length to ensure processing efficiency, while also preventing sensitive information leaks.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to multi-document splicing requirements for petition matter handling, avoiding context overflow that causes format errors |
maxTokens | 2000–3000 token | Limits single-round output length, ensuring completeness and readability of content such as handling opinions and policy explanations |
quoteMaxToken | 1500 token | Restricts fragment length of referenced documents, ensuring matching degree between referenced content and original petition documents |
temperature | 0.2–0.4 | Reduces output randomness, ensuring accuracy of policy explanations and handling process descriptions |
AIPROXY_API_ENDPOINT | Fill in the official proxy address according to the deployment environment | Adapts to domestically compliant model invocation links, meeting data localization requirements |
AIPROXY_API_TOKEN | Fill in the key assigned by the platform | Ensures identity verification and permission control for model invocation |
Three Common Configuration Mistakes
- Phenomenon: After batch uploading petition archives, the first dozen entries process normally, but subsequent content fails to parse properly, returning a context overflow error. Cause: The
maxContextparameter was not adjusted to adapt to long-text batch input, causing the context length to exceed the preset threshold. - Phenomenon: Interface authentication failure occurs when calling the model, returning a 401 status code. Cause:
AIPROXY_API_TOKENorAIPROXY_API_ENDPOINTwas not filled in correctly, and the domestically compliant model invocation link was not matched. - Phenomenon: The chat box embedded in the internal office system fails to load normally, with a script error displayed on the page. Cause: The cross-domain configuration of the JS access code was not adjusted according to official documentation, and the domain name whitelist of the internal office system was not matched.
How to Verify Successful Configuration
- Perform a test input with a single petition registration form, verify whether the handling opinion output by the model matches the preset business process, and adjust the parameter value range based on the output results.
- Batch upload more than 10 historical petition archives, check whether all entries are parsed normally without truncation or errors, and adjust context-related parameters based on the processing results.
- Complete an identity verification test using an internal employee account, confirm that the login process is normal and there are no permission interception issues.
- View the model invocation logs, confirm that the configurations of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENhave taken effect, and there are no interface invocation failure records.
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.