What data in this category looks like
Data sources for this category include government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. The data update frequency is daily. Daily processed documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. Most documents use a mixed format of structured and semi-structured content. Policy files contain fixed release fields. Public disclosure directories are stored by category. Approval forms include approval status and handler information. The length of individual documents varies widely, ranging from hundreds to tens of thousands of characters.
How these characteristics impose constraints during model access and configuration
Dispersed data sources with daily updates require model access configuration to support multi-data-source automatic synchronization and incremental updates, avoiding full-volume repeated processing. Mixed document structures and wide length ranges require configuration to adapt to processing rules for different documents, preventing long text truncation or short text fragmentation. Public attribute and confidentiality review links rely on precise matching, requiring model configuration retrieval accuracy to meet compliance requirements for policy disclosure. Multi-site synchronization requirements require configuration to support multi-channel release verification, ensuring content consistency. Approval form process binding requires configuration to associate fixed fields from internal office systems, ensuring compliance of the disclosure process.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to long text scenarios such as policy documents and interpretation drafts, covering complete associated content |
maxTokens | 4000–6000 token | Meets the length requirements for generating policy interpretation drafts and press releases |
temperature | 0.2–0.4 | Ensures consistency of official policy wording, preventing generated content from deviating from official expressions |
quoteMaxToken | 1000–1500 token | Limits the length of retrieved knowledge base content, avoiding context overload |
AIPROXY_API_ENDPOINT | Configure according to internal deployment address | Adapts to intranet access paths for government affairs systems |
AIPROXY_API_TOKEN | Generate according to internal permissions | Binds exclusive access credentials, complying with security control requirements |
Three Common Configuration Errors
- Phenomenon: The model import interface displays authentication failure or connection error, and locally deployed models cannot be loaded. Cause:
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENare not configured correctly, or intranet access permissions are not enabled. - Phenomenon: When searching for policy-related content, unofficial supplementary answers are automatically generated, and only knowledge base matching QA entries cannot be returned. Cause:
toolChoiceis not set to recall-only mode, or thetemperatureparameter value is too high, causing the model to generate autonomous continuations. - Phenomenon: When batch processing daily updated policy documents, the public attribute judgment results for some documents are incorrect. Cause: Retrieval matching logic is not configured according to the field rules of government documents, causing the model to fail to accurately identify key information.
How to Verify Successful Configuration
- Run a model connectivity test, confirm the returned results meet expectations, and check whether the API address and access token configuration match internal services.
- Upload a single policy document and public disclosure directory entry, verify the rationality of content chunking and retrieval matching, and adjust the context and reference token values to fit the business scenario.
- Trigger a batch synchronization task, confirm that daily updated documents are correctly identified and processed, and verify that the incremental update rule is working properly.
- Generate a sample policy interpretation draft, check whether the generated content conforms to official wording, and adjust the temperature parameter to the required range.
The values provided here 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.