What Data for This Category Looks Like
This category’s data is sourced from the engineering construction project approval management system, construction drawing review system, enterprise qualification database, and credit platform, with a daily update frequency. Daily processed documents include construction permit applications, construction drawing review qualification certificates, quality and safety supervision procedures, and completion acceptance record forms. Data fields include project unique identifiers, participating unit qualification information, approval node status, record material verification results, and more. No custom non-standard units are used, and all fields originate from standardized outputs of official government systems.
Constraints on Model Access and Configuration
The data sources and update frequency of this category impose multiple constraints on model access and configuration. Daily updated data requires configuration that supports incremental synchronization triggers, to avoid full data pull operations consuming government server resources. Standardized government document formats and fixed fields require context length configurations adapted to the typical length of approval materials. Government intranet environments cannot access public networks, so support for private API endpoint configuration is required. Approval processes involve qualification verification and node tracking, so tool calling capabilities must be configured to interface with official system APIs.
How to Configure Parameters
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapt to the total length of approval materials and historical approval nodes, to avoid context overflow |
maxTokens | 2000–3000 token | Control the output length of single-round responses, to ensure clear and non-redundant approval process instructions |
quoteMaxToken | 1500 token | Limit the length of referenced approval document fragments, matching the typical length of a single document |
toolChoice | auto | Automatically trigger tool calls for interfacing with qualification database and approval system APIs |
temperature | 0.1–0.3 | Maintain accuracy of approval process instructions, to avoid generating non-standard guidance |
AIPROXY_API_ENDPOINT | Intranet private API address | Adapt to deployment scenarios where the government intranet cannot access public networks |
Three Common Configuration Errors
- Phenomenon: Interface returns 304 status code after switching model channels. Cause: Intranet API endpoint configuration was not updated correctly, and the frontend request cached the old public network address.
- Phenomenon: Model channel call error, logs show data acquisition exception. Cause: Valid
AIPROXY_API_TOKENwas not configured, or intranet firewall blocked model call traffic. - Phenomenon: Complete approval process guidance results are not obtained. Cause:
maxContextconfiguration value is too small, failing to include complete approval materials and historical node data.
How to Confirm Successful Configuration
- Call the model channel in the intranet environment, check if the interface request points to the configured
AIPROXY_API_ENDPOINTaddress, with no public network domain residues. - Upload a standard construction permit application document, trigger the process guidance, and check if the returned result includes all required material lists for approval.
- View the model call logs, confirm that
toolChoicehas taken effect and successfully interfaced with the qualification database or approval system API. - Adjust the
temperatureparameter, verify the rigor of the response, and confirm that the parameter value meets the business requirements for guidance accuracy.
The values provided 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.