What the Data for This Category Looks Like
Data sources for the plastics and rubber category include industry association public reports, upstream petrochemical enterprise factory ledgers, and downstream processor purchase records. Update frequency falls into three categories: factory quotations are updated daily, industry analysis reports are updated monthly or quarterly, and product physical property parameters are updated when formulas are adjusted, remaining stable otherwise. Document structures include structured quotation tables (containing product name, grade, density, tensile strength, quotation, and date), unstructured industry analysis documents, and compliance certification files. For fields and units: density uses g/cm³, tensile strength uses MPa, quotation uses yuan/ton, grade is in string format, and date follows the YYYY-MM-DD standard format.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The data includes both structured and unstructured formats, with diverse field units. This requires separating prompt logic for structured data calls and unstructured content generation during multi-turn dialogue, and explicitly specifying unit requirements to avoid format confusion. Frequently updated quotation data requires prompts to limit calls to data sources updated on the same day or within the last 24 hours, preventing stale information from being returned. The large number of segmented categories and significant grade differences require guiding users to explicitly specify specific grades or application scenarios during multi-turn dialogue, avoiding retrieval of irrelevant data. The long length of individual documents requires reserving sufficient space in the context window to prevent content truncation during dialogue.
How to Configure the Settings
| Configuration Item | Recommended Value Range/Method | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Structured quotation tables and unstructured analysis documents related to plastics and rubber are mostly 3000-6000 characters per piece. This range can accommodate 1 to 2 complete documents plus multi-turn dialogue context |
systemPrompt | Fixed specification: "Prioritize calling plastics and rubber quotation data updated on the same day, and annotate the corresponding grade and unit in returned results" | This category has high data update frequency and multiple unit fields. Clear prompts can reduce format errors and data lag issues |
recallCount | Top 6 entries | There are many segmented categories of plastics and rubber, and physical property parameters vary greatly across different grades. Too many recalls increase context redundancy, while too few will miss key information |
similarityThreshold | 0.75–0.85 | Balance retrieval accuracy and coverage, avoid retrieving irrelevant grade data, while covering associated information of different grades in the same category |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large physical property parameter documents takes a long time. This duration can cover the parsing needs of most long documents |
chatHistoryMaxCount | Top 10 turns | Users mostly focus on specific grades or prices during multi-turn dialogue. Excessive history will interfere with current queries. This number retains key context |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: When generating marketing content using system prompts, the returned plastics and rubber prices are 3-day-old stale data. Cause: The prompt did not explicitly require calling data sources updated on the same day, and cached historical data was used by default.
- Phenomenon: When using the FastGPT V4.9.13 interface to obtain dialogue records, the
chatIdfield corresponding to the last AI reply cannot be obtained. Cause: Dialogue persistence configuration is not enabled, or session identification parameters are not correctly carried when calling the interface. - Phenomenon: When calling the
getChatListinterface, the number of returned dialogue records does not match expectations. Cause: The starting offset of theoffsetparameter is not correctly configured, resulting in some historical records being skipped.
How to Verify Proper Configuration
- Initiate a quotation query dialogue that includes a specific plastics and rubber grade, check whether the returned results include price data updated on the same day, and confirm that the data source requirements of the prompt have taken effect.
- Call the
getChatListinterface, pass differentoffsetparameters, and check whether the number of returned dialogue records matches the expected effect of the offset. - Generate an application sharing link and access it using different identities, check that each identity can only see its own dialogue records, and confirm that the session isolation configuration has taken effect.
- Upload a plastics and rubber physical property document exceeding 5000 characters, check whether parsing is completed within a reasonable time, and confirm that the timeout configuration meets actual needs.
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.