What the Data for This Category Looks Like
Business data for iron and steel smelting comes from production ledgers, equipment operation logs, process specifications, and quality inspection reports across processes including blast furnaces, converters, and steel rolling. Data is organized by smelting heat number. Core fields include heat number, operation time, process parameters, and quality inspection results. Units include degrees Celsius, tons, minutes, and others. Real-time collected equipment parameters update every 10 seconds. Shift production reports update daily. Monthly process summaries update monthly. A complete single process document typically spans several thousand characters.
Constraints Imposed by These Characteristics on the Multi-turn Dialogue and Prompt Engineering Link
Iron and steel smelting data is isolated by heat number, and fields are highly specialized. Multi-turn dialogue must accurately bind context for the current heat number to avoid mixing data across different heat numbers. Real-time updated equipment parameters require regular refreshes of dialogue context to ensure prompts use the latest process data. Business processes spanning multiple steps require multi-turn dialogue to advance by process node. It is necessary to verify that parameters for the current step meet process requirements. Prompts must clearly define specialized field meanings to prevent ambiguity. Long process documents require reasonable truncation of dialogue context to avoid redundant information interfering with current interactions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Single-batch smelting process documents are lengthy, so this range covers the full process context for multi-turn dialogue |
| Dialogue history retention period | 30 days | Aligns with shift handover cycles, enabling full traceability of a shift’s smelting process |
| Knowledge base permission control | Bind by process group | Restrict engineers in different roles to access only process documents for their assigned work |
variables binding | Bind the current heat number variable | Accurately locate production data for the target heat number and prevent context confusion |
messages context truncation threshold | Retain the most recent 10 rounds of dialogue | Filter redundant historical interactions and focus on questions related to the current smelting step |
chatId binding | Bind the smelting heat number as the unique identifier | Differentiate dialogue contexts for different heat numbers and ensure data isolation |
Three Common Misconfigurations
- Symptom: Dialogue history appears empty or exceeds expected duration. Cause: The dialogue retention period parameter is not configured correctly, or
chatIdis not bound to the corresponding heat number identifier, leading to incorrect context cleanup or retention. - Symptom: The knowledge base returns process documents from unrelated processes. Cause: Knowledge base permission control by process group is not configured, allowing cross-role access to unauthorized document content.
- Symptom: Production data for different heat numbers is mixed during multi-turn dialogue. Cause:
variablesare not bound to the current heat number, causing the context to associate with incorrect smelting batch data.
How to Verify Correct Configuration
- Log in to the FastGPT v4.17.0 backend, access the dialogue configuration interface, and confirm the retention period is set to 30 days and
chatIdis bound to the heat number field. - Initiate a simulated dialogue, enter smelting questions for two different heat numbers, and verify the system only retains interactive context for the current heat number.
- Switch test accounts for different roles, and confirm access is limited to knowledge base documents under the corresponding process category.
- Initiate 12 consecutive rounds of simulated dialogue, and confirm the system automatically truncates earlier interaction records, retaining only the most recent 10 valid entries.
The values provided are common starting points and should be evaluated against the user’s own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.