What data for this category looks like
Data sources include engineering orders, sand, gravel, cement admixture inspection records, moisture content test reports, mixing station control system logs, and laboratory test block records. Update cadences are per-vehicle production data, per-batch raw material inspection data, and daily summary reports. Daily documents include mix proportion notices, opening identification forms, production and transport slips, raw material inspection reports, test block records, and strength reports. Core fields include strength grade, slump, aggregate moisture content, transport duration, and age strength. Units include cubic meters, kilograms, percentage, days, and others.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Business data for ready-mixed concrete production has widely varying update frequencies. Multi-turn dialogue must track parameters across different time dimensions, such as real-time moisture content per vehicle and daily raw material summary data. Context management must accurately distinguish data timeliness. Parsing large documents such as collections of multiple batches of mix proportions consumes significant resources. Avoid loading all redundant data in a single dialogue turn. Prompts must clearly define query scopes, distinguishing compliance documents required for bid quotations from real-time production data. Failure to do so will cause result confusion. The age correlation of test block strength requires dialogue to trace historical records. This category differs from precast components that complete forming and curing in a factory. Its performance must be verified via age test blocks. Context retention rules must match the update cycle of business data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Single document parsing chunk length | 800–1200 characters | Ready-mixed concrete documents often contain continuous mix proportion parameters and test records. Too short a chunk will split parameter correlations. Too long a chunk will increase parsing time. |
| Maximum context length | First 4000 characters (calibrated via actual testing) | Bid quotations require linking multiple mix proportion notices and recent raw material inspection data. An overly long context will cause response delays. |
| Question optimization switch | Enabled | Quotation questions for ready-mixed concrete often include multiple related parameters. Optimization accurately extracts core query conditions. |
| Knowledge base association matching limit | Top 6 entries | Associated data for a single batch of concrete does not exceed 5 entries. Too many matches will interfere with core results. |
| Dialogue timeout threshold | 120 seconds | Large file parsing and multi-batch data retrieval require extended processing time. A threshold that is too short will interrupt responses before they complete. |
Three common mistakes
- Phenomenon: A 10+ MB Word document fails to parse, returning a 504 timeout error. Cause: The chunk configuration was not adjusted for long documents in ready-mixed concrete production. Excessively large single chunks cause parsing thread blocking.
- Phenomenon: An error with the prompt "field format exception" is triggered after entering guide configuration in debug preview. Cause: Keywords in the input guide were not limited to ready-mixed concrete-specific terms such as mix proportion notice, slump, and age. The system cannot match valid fields.
- Phenomenon: Question optimization takes more than 10 seconds, far exceeding expectations. Cause: The context scope for optimization was not restricted. Irrelevant historical test block strength data was introduced, increasing processing load.
How to confirm proper configuration
Use the FastGPT v4.17.0 system to perform the following checks:
- Upload a 10 MB Word document containing mix proportion notices and production and transport slips. Verify that parsing completion time meets expectations.
- Enter "Help me adjust the water mix ratio for C30 concrete". Check that the system automatically extracts core parameters such as slump and aggregate moisture content.
- Enable the input guide function. Enter keywords in debug preview. Verify that associated knowledge base documents are correctly triggered.
- View the
messagesfield in conversation history. Confirm that raw material inspection data for the current batch is retained across multi-turn dialogue. - Check that the
variablesfield correctly stores the current query's engineering order number, avoiding context confusion. - Confirm that the
chatIdfield for different conversations does not overlap, preventing cross-dialogue data interference.
The values provided here are common starting points. They should be evaluated against the user's own samples.