Policy and Regulatory Basis Q&A for Iron and Steel Smelting: Multi-turn Dialogue and Prompt Engineering

Policy and Regulatory Basis Q&A for Iron and Steel Smelting: Multi-turn Dialogue and Prompt Engineering

What this category of data looks like

The policy and regulatory basis data for the iron and steel smelting sector is primarily sourced from official documents released by the Ministry of Industry and Information Technology, the Ministry of Ecology and Environment, and the China Iron and Steel Industry Association. It also includes internal compliance control documents from leading smelting enterprises. Data updates trigger full refreshes when major policy revisions are made, and routine policy updates are synchronized quarterly. The core fields of document structures mostly follow document number, issuing authority, effective date, clause details, and applicable smelting links. Field units are uniformly clause numbers, date formats, and smelting process names, with no custom non-standard units.

What constraints these characteristics impose on multi-turn dialogue and prompt engineering

The long-text structure and multi-clause nature of policy documents require that multi-turn dialogue context window sizes be limited. This prevents the model from failing to load complete policy references due to overly long historical conversations. The clearly specified applicable smelting links in fields require that prompts be bound to specific smelting scenarios mentioned in the dialogue, to narrow retrieval scope. Policy updates do not follow a fixed cycle, so a dynamically triggered knowledge base synchronization mechanism must be configured. This ensures that the latest version of documents is used during dialogue calls. The hierarchical structure of clauses requires that prompts guide the model to accurately match clause numbers, to avoid vague references.

How to set up the configuration

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ValueRationale
Maximum Context Window8000–12000 tokenMatches the average length of iron and steel policy documents, prevents historical dialogue context overflow
chatIdBind to the current dialogue sessionEnsures consistent context association for multi-turn dialogue
messagesRetain the most recent 10 rounds of dialogueMatches the interaction frequency of iron and steel policy Q&A, avoids redundant context
Timeout Setting60 secondsAdapts to the retrieval time of policy documents and model generation duration
Single Retrieval CountTop 3–5 entriesMatches the number of core clauses in policy documents, avoids interference from redundant information
variablesExtract smelting process keywords from the dialogueUsed to narrow the applicable scope of policy retrieval

Three common configuration errors

  • Symptom: A connection error prompt appears when calling the model, and recovery fails even if network acceleration is enabled. Cause: No reasonable timeout threshold is configured, or the timeout setting is shorter than the actual time required for policy document retrieval and model generation.
  • Symptom: The knowledge base returns content containing images, but the model does not display image links in its output. Cause: The prompt does not configure display rules for image links, and does not guide the model to integrate image information into the output.
  • Symptom: Smelting process keywords cannot be accurately extracted from the dialogue, resulting in retrieved policies that do not match the corresponding production scenarios. Cause: No keyword extraction rule is configured via variables, and the prompt does not require extraction of scenario variables.

How to verify correct configuration

  • Initiate a multi-turn dialogue that includes specific smelting processes such as blast furnace ironmaking and converter steelmaking, and check whether the dialogue context retains key information from historical interactions.
  • Check whether the model output references specific clause numbers of policy documents, to verify that the prompt template is effective.
  • Trigger a policy retrieval operation, check whether the retrieved documents are the latest version, to verify that the knowledge base synchronization mechanism is working properly.
  • Simulate a network delay scenario, check whether a timeout prompt is triggered, to verify that the timeout setting meets actual business requirements.

The values provided here are common starting points, and should be evaluated against the reader'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.