What the data for this category looks like
Data sources for hotel and catering industry research reports include industry briefings released by the China Cuisine Association, real-time collected data from regional catering supply chain platforms, and public operation monthly reports from chain catering brands. Update schedule: regular industry reports are updated monthly, while individual store operation data can be synchronized weekly. Document structure includes regional catering market overview data, individual store revenue breakdown, ingredient cost fluctuation curves, and competitor store operation comparisons. Fields involved are customer unit price, table turnover rate, ingredient loss rate, and store area efficiency, with units of yuan/person-time, times/day, %, and yuan/square meter/day respectively.
What constraints these characteristics impose on workflow orchestration
To address the difference between monthly updated regional market data and weekly updated individual store operation data, configure timestamp verification nodes for multiple data sources in the workflow to avoid cross-cycle data splicing errors. To handle fields with specific units such as customer unit price and table turnover rate, configure unit verification rules during the data cleaning stage to prevent calculation deviations caused by unit mismatches. To support unstructured content in research reports such as store real-scene images and ingredient comparison images, reserve multimedia data processing nodes in the workflow to support associated display of image URLs. To avoid context overflow caused by long individual research reports, configure segment recall and merge nodes.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
multi_source_sync_interval | Set separately by data source type to 86400 seconds (weekly updated data), 2592000 seconds (monthly updated data) | Matches the different update cycles of hotel and catering industry research reports to avoid invalid pulls |
field_unit_check_enable | Enabled | Verifies the unit format of indicators such as customer unit price and table turnover rate to prevent data cleaning errors |
max_context_length | 8000–12000 characters | Adapts to the average length of hotel and catering industry research reports to avoid context overflow |
image_url_parse_enable | Enabled | Supports parsing and associated display of image URLs in research reports to meet unstructured content requirements |
recall_field_filter | ["customer unit price", "table turnover rate", "store area efficiency", "ingredient cost"] | Only recalls core business fields from research reports to improve retrieval accuracy |
workflow_return_thought | Enabled | Configures the API to return thought processes to meet process transparency requirements |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After calling the API to start the workflow, the returned results do not include the thought process. Cause: The
workflow_return_thoughtconfiguration item is not enabled, or the API call parameters are not updated synchronously after configuration. - Phenomenon: After passing an image URL into the workflow, the final reply does not display the corresponding image. Cause: The
image_url_parse_enableconfiguration item is not enabled, or the image display rules are not specified in the prompt. - Phenomenon: Research report data spliced by the workflow has cross-cycle confusion, such as misalignment between weekly updated individual store data and monthly updated market data. Cause: The sub-data source timing rules for
multi_source_sync_intervalare not configured, leading to misaligned pull times.
How to confirm the configuration is complete
- Call the test API to start the workflow, check whether the returned results include the configured thought process field to confirm that the
workflow_return_thoughtconfiguration takes effect. - Upload a hotel and catering industry research report containing image URLs in the workflow test panel, check whether the corresponding image is displayed associated in the reply to confirm that the
image_url_parse_enableconfiguration takes effect. - View the data source pull logs, verify whether the pull times of different types of research reports match the preset
multi_source_sync_intervalparameters. - Retrieve research reports for specified business fields, check whether the returned results only include fields within the preset
recall_field_filterlist.
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.