What the data for this category looks like
Packaging and printing industry profit margin and market trend data is sourced from packaging and printing raw material spot markets, downstream order quotation platforms, and publicly available industry association statistics. Data update frequencies fall into three categories: raw material prices are updated daily, downstream order quotations are updated weekly, and industry inventory data is updated monthly.
A single daily report document includes fields including category segmentation (e.g., corrugated paper, flexible packaging, rigid boxes), specification models, daily transaction price, weekly average price, inventory turnover days, and more. Units include yuan/ton, yuan/square meter, 10,000 square meters, days, and others. The order of fields differs across data sources, and no unified standardized format exists.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering?
Packaging and printing category data comes from multiple sources with inconsistent update frequencies. Multi-turn dialogue must first clarify the time range and segmented category of data requested by users to avoid returning incorrect market trend information.
Differences in fields across data sources require prompt templates to pre-agree on standard field mappings, preventing the model from confusing values with different units. Daily report documents are lengthy, so multi-turn dialogue contexts must retain sufficient length to support follow-up user questions, while filtering out irrelevant general financial data and focusing only on segmented packaging and printing industry content.
Additionally, there are many segmented categories in packaging and printing. Multi-turn dialogue must gradually guide users to clarify specific packaging types to avoid vague responses.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | A single packaging and printing daily report is approximately 8000 characters long. Retaining context within this range supports 2-3 follow-up user questions and avoids losing critical information |
recall_top_k | Top 6 entries | There are approximately 10 core fields in packaging and printing daily reports. Recalling 6 entries covers common user needs without introducing redundant data |
similarity_threshold | 0.72–0.78 | There are many segmented categories in packaging and printing. This threshold filters low-relevance general industry data and focuses on market trend information for target categories |
prompt_template | "Please answer user questions based on the following packaging and printing industry profit margin and market trend data: {context}" | Explicitly limits the data source and scope to prevent the model from calling irrelevant external financial data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Packaging and printing daily reports may include multi-page segmented category data, which takes longer to parse. This duration avoids parsing interruptions |
api_key_per_user | Enable independent keys | Multiple internal departments of packaging and printing enterprises use the system. Independent keys isolate conversation records and permissions across different users |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and testing against local samples is recommended before finalizing settings.
Three common mistakes
- 422 error when calling the dialogue API. Cause: The
app_idparameter is not passed correctly, or the request body contains non-standard fields unique to packaging and printing data that have not undergone format validation. - Cross-departmental other user data appears in conversation records. Cause: The
api_key_per_userconfiguration is not enabled, and using a public key causes session isolation to fail. - Market trend data returned by the model is unrelated to packaging and printing categories. Cause: The prompt template does not limit the data scope, causing the model to call general financial market trend data instead of exclusive content for the packaging and printing industry.
How to confirm the configuration is successful
- Upload a packaging and printing industry daily report file, and verify that the parsed data fields include unique content such as category segmentation and daily transaction prices.
- Initiate multi-turn dialogue, sequentially ask about the profit margins of different segmented packaging categories, and verify that the model can correctly distinguish market trend information for each category.
- Call the dialogue API, and check that the response body contains correct session identifiers and
app_idassociation information. - Test independent keys for different users, and verify that each user's conversation records are stored independently with no cross-user data leakage.
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.