What the data for this category looks like
Data for municipal gas service inquiries and responses originates primarily from internal business systems of gas enterprises and official announcement channels. The data includes multiple types: service guides (such as account opening and installation processes), tiered gas price tables, temporary gas shutdown notices, and gas safety regulations. Service guides are structured step-by-step text. Tiered gas price tables are multi-column structured tables with fields for usage volume, unit price, and total amount. Units are cubic meters and yuan per cubic meter. Temporary gas shutdown notices are short temporary texts. Update frequencies adjust based on gas shutdown plans. Gas safety regulations are long explanatory texts. Daily service documents range from hundreds to thousands of characters per entry.
Constraints Imposed During Model Integration and Configuration
Multi-column structured tiered gas price tables can cause automatic segmentation tools to split content incorrectly. Targeted row-by-row segmentation rules must be configured. Temporary gas shutdown notices have strong timeliness. The vector database update cycle must be shortened to ensure content remains up to date. Gas services include specialized terms such as "IC card top-up" and "indoor safety inspection". Model-generated content must stay accurate and free of ambiguity. The length of different document types varies widely. Reasonable context recall limits must be set to avoid redundant content interfering with responses.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Covers the total length requirements of gas service documents, ensuring all relevant process and pricing information is retrieved |
temperature | 0.2–0.4 | Service inquiries require precise numerical and process descriptions. Reducing generation randomness avoids errors |
quoteMaxToken | 2000 characters | Fully references steps in service guides and complete entries in tiered price tables, preventing critical information from being truncated |
toolChoice | auto | Automatically selects whether to call tools to obtain real-time gas shutdown notices and latest price adjustment information based on user questions |
AIPROXY_API_ENDPOINT | Fill in the deployed proxy address | Resolves network connectivity issues when accessing overseas models from mainland China, adapting to network-restricted scenarios |
AIPROXY_API_TOKEN | Fill in the key generated by the proxy platform | Completes identity verification for the proxy channel, ensuring requests are legitimate and valid |
Three Common Configuration Errors
- After configuring a custom proxy channel, calls fail with "authentication failed" or "404 Not Found". The cause is incorrect entry of
AIPROXY_API_TOKENor incorrect address format forAIPROXY_API_ENDPOINT. - Multi-column Excel-formatted tiered price tables are split incorrectly during automatic segmentation. Retrieved content includes redundant values from unrelated columns. The cause is failure to configure row-by-row preprocessing rules for structured tables.
- When responding to service inquiries, key materials are omitted. The returned application process lacks required document information. The cause is an excessively low
maxContextvalue, which fails to retrieve all relevant document content.
How to Verify Successful Configuration
- Submit a simulated temporary gas shutdown notice query. Check if the returned result includes the latest gas shutdown scope and time information.
- Submit a tiered gas price query. Check if the corresponding relationship between usage volume and unit price matches the original table.
- Review the proxy channel request logs. Confirm that requests to
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENreturn a 200 status code. - Submit a query for specialized terms such as "indoor safety inspection cycle". Check if the response is accurate and free of ambiguity, with no incorrect business descriptions.
The values listed above are common starting points. They should be evaluated against the specific samples of the target deployment.
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.