What the data for this category looks like
This category of data primarily comes from exclusive Party building databases under the energy and power sectors of Chinese state-owned and public enterprises. It includes Party building study documents issued by higher-level Party committees, branch activity records from new energy project sites, and quarterly Party building assessment ledgers. Data is synchronized once per month with newly released study materials and project Party building updates. Each individual document has a fixed structure: title, main body content, issuing unit, associated new energy project number, and release date. Fields include document ID, title character count, main body length, associated project number, with units being entries, characters, characters, project numbers, and days respectively.
What constraints these characteristics impose on the model access and configuration link
The exclusive field associated with new energy projects requires filtering matching content by project number during retrieval, to avoid interference from cross-project Party building materials. The monthly update rhythm reduces the need for real-time vector synchronization, and can be configured for scheduled incremental updates. The fixed document structure allows retaining the associated project number as metadata during chunking, supporting subsequent traceability. The serious nature of Party building content requires the model’s output to align with official expressions, so the degree of generated divergence must be limited. Some project Party building documents have relatively long lengths, so the occupancy of the context window must be reasonably limited to avoid exceeding the model’s carrying capacity.
How to set configurations
These configuration items adapt to the FastGPT v4.17.0 model access workflow:
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the long-text association requirements of new energy Party building documents, avoids context overflow |
maxTokens | 2000–3000 token | Controls the output length of single-round responses, meets the standardized output requirements of Party building study materials |
quoteMaxToken | 1500–2000 characters | Limits the total length of referenced documents, ensures retrieved content does not exceed the context window |
temperature | 0.1–0.3 | Reduces the degree of generated divergence, aligns with the serious and standardized requirements of Party building content |
AIPROXY_API_ENDPOINT | Fill in the actual access address based on the deployment environment | Ensures correct routing of model requests, prevents requests from failing to reach the target |
AIPROXY_API_TOKEN | Fill in the exclusive token generated during deployment | Verifies the legitimacy of requests, prevents unauthorized access |
Three common configuration mistakes
- Phenomenon: After uploading images via API, the model cannot recognize image content, returns irrelevant text or empty results. Cause: The
visionconfiguration item is not enabled, and the visual model access capability is not activated. - Phenomenon: The scores of retrieved Party building documents are generally higher than 0.95, even if the content has low relevance to the query. Cause: Metadata filtering is not configured based on new energy project numbers, resulting in irrelevant cross-project documents being recalled.
- Phenomenon: Calling a published workflow via API does not trigger user selection or form input prompts, and directly returns fixed results. Cause: Interactive mode configuration is not correctly enabled in the request, causing the workflow to skip interactive steps.
How to confirm configuration is complete
- Pass a Party building question associated with a specific new energy project, confirm that returned results only include document content related to that project.
- Upload a test image and initiate a query, confirm that the model correctly parses the image content and generates a corresponding response.
- Review model-generated responses, confirm that they align with standardized Party building content expressions, with no excessively divergent content.
- Validate API request tokens and address configurations, confirm that requests can be delivered normally and return valid results.
The values listed above 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.