Multi-turn Dialogue and Prompt Engineering for Chemical

What the Chemical Fiber Category Data Looks Like

Chemical fiber category data originates from four main sources: upstream petrochemical raw material spot quotation platforms, transaction ledgers of downstream weaving and garment enterprises, weekly supply and demand monitoring reports published by industry associations, and operating data related to chemical fiber enterprise supply chain finance collected by financial institutions. Update schedules differ across data types: raw material price data updates daily, order and inventory data synchronizes every other day, and industry supply and demand reports plus enterprise operating data release weekly or monthly. Documents typically include fields such as product grade, specification parameters, daily average price, inventory surplus, downstream application scenarios, enterprise revenue and financing needs. Common units include precise measurement items such as yuan/ton, kilogram, kilometer and denier.

Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering

The precise fields and unit requirements of chemical fiber data mean prompts must clearly specify parameter measurement standards to avoid unit confusion errors in financial marketing conversations. In financial marketing scenarios, promotional content is generated using the financing needs and product parameters of chemical fiber enterprises. Multi-turn dialogue must retain associated context for upstream and downstream raw materials and finished products. Without this context, the system cannot accurately answer questions such as the price corresponding to a product grade or the financing plan suitable for an enterprise. Data with different update frequencies must be differentiated between real-time calls and historical queries during conversations. Failure to do so may result in returning outdated quotations or operating data. Excessively long dialogue history will occupy the context window, leading to key parameters being truncated and reducing the accuracy of financial marketing content.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`maxContext`	`8000–12000 characters`	In financial marketing conversations, customers often ask about chemical fiber enterprises' operating data, product parameters and financing plans. Retaining multi-turn context supports associated queries.
`similarity_threshold`	`0.75–0.85`	Chemical fiber product specification parameters have high similarity. Filtering low-match redundant documents prevents confusion between different product grades and financing plans in financial promotional content.
`maxHistoryTurns`	`10–15 turns`	Chemical fiber enterprise customers often repeatedly confirm product details, financing quotas and delivery cycles. Excessive historical turns occupy the context window and reduce promotional content generation efficiency.
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Chemical fiber financial marketing materials often contain long-format parameter tables and enterprise operating reports. Parsing takes longer than for general categories, so extending the timeout period is necessary.
`response_max_tokens`	`2000 characters`	Financial marketing content requires detailed explanations of product specifications, applicable scenarios and financing plans. It is used to generate promotional scripts and materials for chemical fiber enterprises, so sufficient response length is needed.

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 specific analysis, and it is recommended to test on your own samples before finalizing the settings.

Three Common Configuration Mistakes

Symptom: The download link for financial promotional materials generated in a conversation displays "expired", and the validity period cannot be adjusted. Cause: The log_expire_days parameter is not configured, and the platform's default short-term validity period rule is used.
Symptom: Historical conversations from several months apart cannot be resumed, and the system returns "context does not exist". Cause: The persist_history configuration item is not enabled, so conversation history is not persistently stored.
Symptom: Single-turn conversation response time exceeds 10 seconds. Cause: The recall_top_k parameter is set too high, and the rerank configuration is not enabled. Too much redundant data related to chemical fiber products and financial plans is recalled and processed.

How to Verify Correct Configuration

Initiate a multi-turn conversation containing multiple chemical fiber product grades, enterprise operating data and financing plans. Check whether all key fields are included in the context content displayed by the system.
Upload a chemical fiber financial marketing material containing a long parameter table and enterprise operating report. Check whether the parsed text is complete and free of truncation.
Test initiating a conversation request with an interval of more than 7 days. Check whether the historical context can be loaded normally.
Simulate continuous multi-turn conversations. Check whether the single-turn response time meets the expectations of financial business.

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.