What the data for this category looks like
The data sources for petition case handling include the national petition information system, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives, with daily updates. Daily processed documents cover petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and reexamination applications, and resolution plans. Each document includes fields such as the requesting party, case details, handling milestones, review status, with no additional custom statistical fields.
Constraints These Characteristics Impose on Model Access and Configuration
Data sources are scattered and updated daily. Homologous data from multiple platforms must be integrated. When configuring, ensure the context aggregation logic matches the output formats of different systems. The total volume of historical archives and real-time request data processed in a single batch is large. Limit the total context length passed to the model to avoid context transmission failures. Different business documents have varying field structures. Configure corresponding data mapping rules to ensure generated document fields align with system storage fields. Legal procedures for petition handling require document content to strictly match handling milestones. Bind model output to preset document templates, and avoid generating content outside the established structure.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the total length of historical archives and real-time request data integrated in a single batch for petition business, avoiding context transmission failures due to exceeding limits |
maxTokens | 4000–6000 tokens | Matches the standard generation length of petition documents, ensuring documents such as acceptance notices and handling opinions can be fully generated |
quoteMaxToken | 1500–2000 tokens | Limits the total token count of referenced historical petition archives, preventing referenced content from occupying the main generation context |
temperature | 0.1–0.3 | Reduces generation randomness, ensuring document content strictly matches the legal formats and preset fields of petition handling |
AIPROXY_API_ENDPOINT | Fill in local or cloud interface addresses according to the deployment environment | Adapts to the local large model deployment requirements of petition business, ensuring data does not leave the designated domain |
toolChoice | none | Petition document generation does not require calling external tools, only generating content based on preset documents and context |
Three Common Misconfigurations
- When the value of
maxContextis set too large, the conversation interface cannot load context content, and the log displays "context not send to LLM". This occurs because the parameter upper limit is not adjusted based on the single-batch data integration volume of petition business, causing the context passed to the model to exceed platform limits. - Frequent "Request Timeout" errors occur when calling a locally deployed large model. This occurs because the processing time for integrating multi-source data in petition business is not accounted for, and the default timeout parameter is insufficient to support complete requests.
- Generated petition documents lack legally required fields, and the interface displays incomplete generated content. This occurs because
temperatureis not adjusted to the compliant range, causing the model to generate content that deviates from the preset document structure.
How to Verify Proper Configuration
- Upload a single sample of a petition registration form and historical archives, check that the context loads completely and does not exceed the preset length, confirming that the
maxContextvalue matches the current business data volume. - Initiate a test for generating an acceptance notice, check that the generated content matches the preset document structure and field requirements, confirming that the
temperatureandtoolChoiceparameters are configured correctly. - Initiate 3 consecutive generation tests when calling the local large model, check that no timeout errors occur, confirming that the interface timeout parameter matches the processing time required for petition business.
- Check that historical archives referenced by the knowledge base are correctly intercepted according to preset rules, confirming that the
quoteMaxTokenvalue meets business needs.
The values provided here are common starting points, and should be evaluated against applicable 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.