What the data for this category looks like
Special steel data sources include steel mill production ledgers, third-party quality inspection reports, industry grade standard documents, and end-customer order data. For update frequency: production parameters and inventory data are updated daily; grade standards and technical specifications are updated quarterly; market price data is updated hourly. Most documents use structured tables, with fields including grade identifiers, chemical composition percentages, mechanical performance indicators, specification dimensions, delivery conditions, application scenarios, and more. Units include megapascals (MPa), percent (%), millimeters (mm), tons (t), and other professional industrial units.
What constraints do these characteristics impose on multi-turn dialogue and prompt configuration
The multi-field granularity and high-frequency update nature of special steel data imposes multiple constraints on multi-turn dialogue and prompt configuration. First, granular grades and multi-dimensional parameters require gradual confirmation of user needs via multi-turn dialogue, to avoid generating overly generic marketing content. Second, frequently updated price and inventory data require prompts to bind to real-time data interfaces, ensuring the timeliness of output content. Third, long documents and professional units require the dialogue system to preserve field integrity during parsing, to avoid unit mixing or missing parameters.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxDialogueTurns | 8–12 turns | Special steel marketing requires confirming multiple pieces of information such as grade, specification, and use case via multi-turn dialogue. Excessive turns increase context redundancy, while insufficient turns interrupt the confirmation process |
recallCount | Top 6–8 entries | Special steel data has many fields, so enough matching grade parameter documents must be recalled to avoid missing key information |
similarityThreshold | 0.72–0.85 | Special steel grades have high similarity. A threshold that is too low will recall irrelevant grades, while a threshold that is too high will fail to match precise parameters |
chunkSize | 1000–1500 characters | Special steel quality inspection reports and technical documents are lengthy. Segments that are too long lose contextual relevance, while segments that are too short destroy field integrity |
requestTimeout | 30–45 seconds | Special steel data requires connecting to real-time inventory and price interfaces. An overly long timeout causes dialogue interruptions, while an overly short timeout results in failed data retrieval due to incomplete data |
PROMPT_TEMPLATE | Fixed template that must include "first confirm the required special steel grade, delivery condition, and application scenario" | Special steel has many granular categories, so multi-turn dialogue is needed to clarify core needs and avoid generating inaccurate marketing content |
The parameter values provided on this page are common 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 settings.
Three common mistakes
- Phenomenon: Calling the dialogue API to upload special steel technical documents returns a "413 Request Entity Too Large" error. Cause: The
chunkSizeparameter is not restricted, and the uploaded long special steel document fragments are too long, causing the request to exceed limits. - Phenomenon: The workflow's question-and-answer node only returns a single result and cannot trigger a follow-up question to confirm special steel grade or application scenario. Cause: The
maxDialogueTurnsparameter is not set to a value greater than 1, and the multi-turn dialogue trigger logic is not enabled. - Phenomenon: Dialogue histories from different users are visible to each other, and user data isolation is not implemented. Cause: The
userIdfield is not passed in the dialogue request, and user identity is not bound to the session storage.
How to confirm the configuration is correct
- Initiate a multi-turn query including special steel grade and specification, and observe whether the system asks for unspecified supplementary parameters such as delivery condition or application scenario.
- Upload special steel technical documents or quality inspection reports, and check whether the parsed segments retain key fields such as chemical composition percentages and mechanical performance indicators.
- Call the dialogue API, pass different test
userIdvalues, and confirm that dialogue records from different test accounts are isolated from each other and cannot be viewed mutually. - Trigger a dialogue that includes real-time data query, check whether results are returned within a reasonable time frame, and verify the effectiveness of the timeout configuration.
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.