What the data for this category looks like
Ledger data for infrastructure construction comes primarily from paper or electronic forms such as on-site construction logs, material incoming acceptance receipts, progress payment approval forms, and process acceptance records. Data update rhythm adjusts with construction milestones. Daily updates occur during routine construction phases, and centralized summary takes place during monthly settlement phases. A single ledger document typically includes fields such as project number, construction area, material name, incoming quantity, acceptance result, responsible person, and submission date. Units cover multiple engineering-specific measurement units including tons, square meters, ten thousand yuan, and labor hours. Some ledgers are stored as structured Excel tables, while others are archived as scanned documents or PDF files.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
The multi-field and multi-unit characteristics of infrastructure construction ledgers require clear specification of the current session’s associated project number and time range during multi-turn dialogue. This prevents cross-project data confusion. Ledgers with different update rhythms require confirmation of the data statistical cycle at the start of the dialogue. This prevents calling expired or incomplete construction records. The diversity of engineering-specific measurement units requires that prompt engineering mandates output results match the units of the original ledgers. This avoids unit conversion errors. The multi-source and heterogeneous ledger storage formats require confirmation of the data source type during multi-turn dialogue. Unstructured archived documents must first undergo structured parsing before querying can begin.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to the project's unique identifier | Distinguish ledger session contexts for different infrastructure projects, prevent cross-project data interference |
messages | Retain the most recent 30 conversation records | Cover the multi-turn interaction flow for a complete ledger summary, prevent context overflow |
variables | Preset project number and statistical cycle variables | Quickly locate the corresponding ledger data source, reduce repeated inquiries |
| Historical message retention duration | 7200 seconds | Match the conventional interaction cycle for monthly ledger summaries, prevent session expiration |
| Prompt template | Mandatorily label engineering-specific units | Align with the unit requirements of ledger fields, reduce output errors |
| Single query field limit | Top 8 core fields | Adapt to the conventional number of fields in a single ledger, avoid returning redundant data |
Three Common Misconfigurations
- Phenomenon: Subsequent replies in multi-turn dialogue do not link to previously raised ledger query questions, and context is lost. Cause: The
chatIdparameter is not bound, or the number of retained historical messages is set below 15, causing the session context to be automatically truncated by the system. - Phenomenon: After configuring the AIProxy proxy, the thinking process is not displayed in the conversation history, but relevant output exists in the running logs. Cause: The prompt template does not explicitly require hiding the thinking process, or the corresponding hidden switch is not configured in
variables. - Phenomenon: When attempting to generate a ledger report through dialogue, the measurement units in the returned results do not match the original ledger. Cause: The prompt template does not mandate matching engineering-specific units, or unit verification rules are not preset in
variables.
How to Verify Successful Configuration
- Initiate an initial query that includes a project number and statistical cycle. Confirm that replies in subsequent multi-turn dialogue all link to the specified project and cycle. Verify that the
chatIdand context configurations are effective. - Trigger a test dialogue that includes a thinking process. Check the conversation history and running logs to confirm that the display status of the thinking process matches the preset requirements.
- Generate a ledger summary report. Verify that all measurement units in the report match the labels in the original ledger, confirming the prompt template and unit verification configurations are effective.
- Wait longer than the preset historical message retention duration, then initiate a new query. Confirm that the session context has been reset, verifying the session expiration configuration is effective.
The values given 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.