What This Category of Data Entails
This category of data is primarily sourced from party building learning materials, internal party regulatory documents, and current affairs learning special content officially released by party committees at all levels. Update timelines adjust according to policy release nodes, and core learning content follows a stable update frequency. Each individual data document includes four core fields: title, body text, source unit, and release date. Document structures have clear hierarchical levels, with body text divided into paragraphs by theme. Field units are characters and standard date format respectively. Some documents include official supporting interpretation content.
Constraints for Model Access and Configuration
The characteristics of this data impose the following constraints on the model access and configuration workflow: Officially sourced party building data requires source legitimacy verification during access to prevent non-official content from being included. The non-fixed update rhythm requires configuring an automatic synchronization script to ensure timely updates of core learning content. The hierarchical document structure and clear source and release date fields require the model to associate corresponding annotations when generating responses, and retain paragraph logical integrity during chunk processing. The strict content standards for party building materials require limiting irrelevant content interference during model access to avoid generating results that do not match official expressions.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Parameter | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Party building learning Q&A needs to cover multiple segments of official document content. Sufficient context ensures the model associates complete logical connections |
temperature | 0.1–0.3 | Party building content needs to maintain a rigorous and unified expression style. A lower temperature reduces randomness in generated content |
quoteMaxToken | 2000 token | Single-segment quoted party building original text needs to retain sufficient details while avoiding occupying too much total context quota |
toolChoice | none | Party building learning Q&A does not require calling external tools, and only needs to generate responses based on the built-in knowledge base |
AIPROXY_API_ENDPOINT | Fill in according to the deployment environment | Adapt to API endpoints deployed within government and enterprise internal environments, ensuring data transmission complies with internal security specifications |
AIPROXY_API_TOKEN | Assign values based on permissions | Set access tokens based on user roles, strictly controlling interface call permissions |
Common Configuration Errors
- Setting
toolChoiceto auto or another non-none value, which causes the model to attempt calling unconfigured external tools, and the interface returns a tool call failure error. The cause is that party building learning Q&A does not require external tool access, and the tool call logic is incorrectly enabled. - Not configuring an automatic synchronization script, which causes party building content in the knowledge base to lag behind official updates. When users ask questions, outdated policy content is returned. The cause is failure to adapt to the non-fixed update rhythm of party building data, and only manual data synchronization is performed.
- Setting
temperaturehigher than 0.5, which causes expression deviations in model-generated responses that do not match the rigorous expressions of official party building content. The cause is failure to adjust the temperature parameter according to the strictness requirements of party building content, and excessive randomness destroys content accuracy.
How to Verify Successful Configuration
- Import a single party building document, initiate a question about the document content, and check whether the model's returned result includes the core information and source annotation of the original document.
- Trigger an automatic synchronization task, and check whether the update time of the corresponding party building content in the knowledge base matches the official release time.
- Initiate multiple party building questions on different topics, and check whether the expression style of the model-generated content is unified and rigorous, with no obvious random deviations.
- Call
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENto initiate a test request, and check that the interface returns a status code of 200 and no permission error messages.
The values provided are common starting points, and should be validated against relevant deployment-specific 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.