What Data for This Category Looks Like
Telecommunications engineering construction ledger data primarily comes from project management systems, on-site inspection terminals, and material procurement and acceptance systems. Update frequency aligns with project milestones, with daily or weekly updates during a single project cycle. Document formats include acceptance reports over 100,000 Chinese characters in length, and Excel material ledgers with over 15,000 rows. Data is structured by project section, with core fields including section number, material name, specification and model, incoming quantity, acceptance date, construction team, and supervisor signature status. Units include engineering-specific measurements such as meters, sets, tons, and workdays.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
The large volume and specialized fields of telecommunications engineering ledgers create multiple constraints for multi-turn dialogue and prompt configuration. First, individual documents have large file sizes. Directly passing full datasets will exceed model context limits, so data must be split via chunked parsing and session state management. Second, specialized fields and units can cause ambiguity. Prompts must clearly specify field definitions and measurement units to avoid incorrect summary results. Third, data updates occur frequently. Multi-turn dialogue must call the latest data source each time, so prompts must include instructions to pull the most recent data. Finally, users may switch between sections or query different material types during multi-turn dialogue. Session identifiers must retain historical query states to ensure context continuity.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 token | Telecommunications engineering ledgers contain multiple fields and long documents, requiring sufficient context to accommodate historical dialogue and parsed data |
| Session state persistence | Automatically generate persistent chatId | Multi-turn dialogue must retain historical context for section switching and data queries to ensure session continuity |
| Prompt template variables | Pass current section number, data update time | Accurately match corresponding ledger data sources, avoiding calls to expired or incorrect data |
| Number of retained conversation message history | Previous 15–25 messages | Balances context completeness and token consumption, preventing exceedance of model limits |
| File chunk length | 1500–2000 characters | Adapts to Excel row data and Word paragraph structures of telecommunications engineering ledgers, reducing split of associated data |
| Timeout duration | 90–150 seconds | Adapts to response requirements for large file parsing and multi-turn data queries, preventing mid-process interruptions |
Three Common Mistakes
- Issue: After uploading a 15,000-row telecommunications engineering ledger Excel via the dialogue interface, returned material quantity results do not match the original data. Cause: File chunk parameters adapted to engineering ledgers were not configured, leading to loss of associated information from adjacent rows during data splitting.
- Issue: Dialogue output delay exceeds the set threshold, and the interface displays a timeout status. Cause: Timeout duration configuration was not adjusted. Large file parsing and multi-turn data queries were not adapted to the volume of telecommunications engineering ledgers, and chunking and query logic were not optimized.
- Issue: Session token consumption statistics are inaccurate. Token usage for some conversations is not correctly recorded. Cause: Session token statistics function was not enabled, or token consumption from historical messages in the
messagesarray and chunked files was not included in calculations.
How to Verify Proper Configuration
- Upload a 15,000-row telecommunications engineering ledger Excel, initiate a multi-turn dialogue to query the total material quantity for a specified section, and confirm that returned results match the statistical results of the original data.
- View the session details page, confirm that
chatIdis automatically generated and persistently stored with each dialogue, and that session status updates correctly after switching sections to return data for the corresponding section. - Initiate a dialogue including an acceptance report of 100,000 Chinese characters, and check that the token consumption data returned by the interface matches the character count conversion result of the actual parsed content.
- Adjust the timeout duration to 90 seconds, initiate a dialogue including a large file, and confirm that the response time does not exceed the set threshold and no timeout errors occur.
The values provided 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.