What the data for this category looks like
Baijiu marketing-related data originates from four primary sources: official product manuals from manufacturers, regional distributor sales ledgers, e-commerce platform user reviews, and industry association compliance publicity guidelines. Product manuals include fields such as flavor type, alcohol content, execution standards, cellar aging period, and packaging specifications, with units including %vol, ml, year, and others. Sales ledgers record regional distribution volume and sales-related information. User reviews include content such as drinking experience and packaging feedback. Compliance guidelines specify restricted wording requirements for publicity materials. Update cadences vary by data type: product manuals only update when new products launch, sales ledgers update weekly, user reviews update in real time, and compliance guidelines update quarterly.
What constraints these characteristics impose on tool calling and plugins
Baijiu marketing tool calling and plugins must adapt to the differentiated characteristics of this category's data. First, product manuals contain multiple fields with fixed units. Tool calling must configure field validation rules to ensure extracted parameters comply with compliant formats. Second, sales data updates weekly. Plugin synchronization frequency must match this cadence. Frequent calls will trigger data source cache limits and return invalid old data. Third, compliance publicity guidelines update quarterly. Plugins must regularly pull the latest guideline library to avoid generating non-compliant wording. Fourth, real-time user reviews require quick recall. Tool calling must set reasonable interface timeout thresholds to avoid affecting the real-time performance of marketing content generation.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Must accommodate three core materials: wine body parameters, regional sales data, and user reviews, to avoid context overflow |
Recall Count | Top 6–10 entries | Core information items that Baijiu users focus on when making decisions fall within this range. Excessive entries will increase model inference load |
PARSE_FILE_TIMEOUT_SECONDS | 240 seconds | Baijiu product manuals contain multiple pages of compliance instructions, cellar aging details, and other content, resulting in long parsing times |
Similarity Threshold | 0.72–0.78 | Must match the professional nature of Baijiu marketing content to filter low-relevance user reviews or sales data |
PLUGIN_SYNC_INTERVAL | Every 7 days | Regional sales data updates weekly, so synchronization frequency matches the data source update cadence |
UPLOAD_FILE_MAX_SIZE | 300 MB | Baijiu marketing materials include high-definition packaging images and tasting videos. This size covers most material requirements |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and testing should be completed on independent samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When calling the agent API to upload high-definition Baijiu tasting videos, the interface returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the default value is smaller than the actual size of the video file. - Phenomenon: The configured timer synchronizes regional sales data daily, but returns identical inventory ledger content for multiple consecutive days. Cause: The synchronization frequency does not match the weekly update cadence of the data source. The synchronization frequency is higher than the actual update cycle of the data source, resulting in cached old data being pulled.
- Phenomenon: After calling the large model to generate Baijiu marketing copy, the generated content does not include core wine body parameters, and the effect is worse than the native generation result of the corresponding large model. Cause: The context window is set too small, the product parameter document was not fully loaded, or the plugin rule for mandatory parameter recall was not configured.
How to Confirm Configuration is Correct
- Execute a batch parsing task for Baijiu product manuals. Check whether all preset wine body parameter fields are included in the parsing log, and confirm that the parsing task did not trigger a timeout.
- Trigger a sales data synchronization task. Compare the synchronization result with the latest update time of the data source, and confirm that the synchronization frequency matches the update cadence of the data source.
- Generate a piece of Baijiu marketing copy. Check whether the generated content includes the recalled user reviews and sales data, and confirm that the recall rule configuration meets expectations.
- Upload a Baijiu packaging image in compliance format. Check whether the interface returns normal upload results, and confirm that the file upload related 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.