What the data for this category looks like
Data sources for building engineering research reports mainly include public engineering quota documents from housing and urban-rural development authorities, quarterly engineering analysis reports released by industry associations, special research reports from design institutes, and bid-winning announcement documents from bidding platforms. Documents typically include modules such as engineering cost composition, material unit price details, construction technology standards, and project progress data. Core fields include material name, specification model, unit of measurement (such as cubic meter, square meter, ton), unit price, loss rate, project start and completion time, and total cost. Policy research reports are updated quarterly, material unit price data is updated monthly, and special research reports are updated according to the corresponding project cycle.
What constraints do these characteristics impose on tool calling and plugins?
The multi-field detailed attributes of building engineering research reports require tool calls to carry complete specification models, units and other parameters to avoid data association errors caused by fuzzy matching. Frequently updated material unit price data requires plugins to set a cache validity period of no more than 30 days to prevent outdated data from affecting accuracy. Single research reports are lengthy and contain a large number of structured tables, requiring tools to support segmented recall and merged output to avoid exceeding context window limits. The structured characteristics of bidding data require plugins to have the ability to parse multi-field associated data, and retrieval cannot be completed only through plain text matching.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8 entries | Building engineering research reports contain multi-dimensional detailed fields. Too many recalled entries will increase the context load, while too few will fail to cover all relevant data. The reasonable range is calibrated through actual testing |
similarity_threshold | 0.75–0.85 | Precise matching of specification models and units is required. A threshold that is too low will introduce irrelevant non-building engineering research reports, while a threshold that is too high may miss detailed data of the same category |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single building engineering research report contains a large number of structured tables and detailed data, which takes a long time to parse. The default 60 seconds is insufficient, so it needs to be extended to 120 seconds |
chunk_size | 1000–1200 characters | The material unit price paragraphs of building engineering research reports have clear structures. The segmented length adapts to the field density to avoid splitting that destroys data association |
stream_response_delay | 1000–2000 milliseconds | Control the streaming output interval to adapt to the front-end display rhythm and avoid page freezes caused by too fast data return |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. The actual values are affected by material forms, data volume and business rules. Specific issues require specific analysis, and it is recommended to conduct actual testing on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: Tool calls return a 400 status code, prompting missing parameters. Cause: Detailed fields such as specification model and unit are not carried, triggering the platform's parameter verification rules.
- Phenomenon: The content in the conversation log is inconsistent with the answer actually displayed on the front end, and the initial prompt content is always shown. Cause: The
log_full_contextparameter is not enabled, and the log does not synchronize updated context data after retrieval. - Phenomenon: Clicking the research report link returned by streaming output only covers the current page, and cannot open a new tab. Cause: The link generated by the plugin does not have the new window jump attribute configured, and the corresponding identifier is not added according to front-end rendering requirements.
How to Confirm Proper Configuration
- Initiate a parsing test for a single building engineering research report, confirm that the parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSvalue, and there are no parsing failure errors. - View the conversation log, confirm that the retrieval results recorded in the log are completely consistent with the answer content displayed on the front end, with no missing or misaligned fields.
- Adjust the
stream_response_delayparameter, test whether the streaming output return interval matches the preset value, and verify the smoothness of front-end display. - Click the research report link returned by streaming output, confirm that it can be opened in a new tab, and check whether the plugin's link rendering configuration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.