Cross-Review of Technical Documentation for Welded Structural Component Manufacturing: Multi-Turn Dialogue and Prompt Engineering

Technical documents for welded structural component manufacturing include welding procedure qualification records, welding procedure specifications

What the data for this category looks like

Technical documents for welded structural component manufacturing include welding procedure qualification records, welding procedure specifications, consumable issue records, welder qualification records, weld inspection reports, repair orders, and more. Data sources cover design drawings, material quality certificates, welding equipment parameters, consumable warehouses, non-destructive testing systems, and personnel qualification ledgers. Data updates are performed per weld seam, per batch of workpieces, or on a shift basis. Individual records contain fixed fields such as base material grade, consumable model, welder qualification number, inspection results, and repair count. The format is tightly bound to business processes.

Constraints on multi-turn dialogue and prompt engineering

The high-frequency update feature of data requires dialogue contexts to filter expired records in real time, to avoid using overdue consumable qualifications or inspection reports. The rigid constraint fields in individual records require prompt engineering to define clear validation rules, ensuring reviewed documents meet business requirements during review. Differences in data format across system sources require multi-turn dialogue to complete format alignment first, before conducting associated reviews. The strong association between repair orders and weld inspection reports requires multi-turn dialogue to support cross-document associated queries, ensuring repair basis is traceable.

How to configure settings

Configuration ItemRecommended SettingRationale
Context Retention Turns6–8 turnsThe review-related dialogue for a single batch of welded structural components does not exceed 8 turns; exceeding this threshold risks mixing in data from other batches
Knowledge Base Recall LimitTop 5 entriesDaily review involves no more than 5 types of documents; excessive recall will lead to context overload
variables Bound FieldsBase material grade, consumable model, welder certification numberThese are rigid validation fields for review, and must be brought into verification in real time during dialogue
Dialogue Interruption TriggerDistinguish sessions by chatIdEnsure that review sessions for different weld seams do not interfere with each other, and avoid context reuse
messages Format ValidationOnly accept structured document fieldsEnsure that incoming review requests conform to the fixed format of welding documents, and avoid invalid queries
Session Timeout Duration300 secondsPrevent long dialogues from blocking session resources, and adapt to the review response time for a single weld seam

The above configurations are implemented based on FastGPT v4.17.0.

Three common misconfigurations

  • Phenomenon: When calling the knowledge base with a strict question-and-answer template, if an image document address is retrieved, the system returns "No answer found". Cause: The strict question-and-answer template only matches text fields by default, and no parsing rules for image addresses are configured, so document content associated with images cannot be included in the matching scope.
  • Phenomenon: Sending multiple dialogue requests consecutively in a short period causes subsequent requests to wait for previous requests to complete before executing. Cause: No chatId-level session concurrency control is configured, and the default session lock mechanism leads to request queuing.
  • Phenomenon: Attempting to operate a conversation record created by another user returns "No permission to operate this conversation record". Cause: No identity validation rule for the conversation creator is bound, and the permission validation logic does not associate with the user ID field in variables.

How to confirm proper configuration

  • Initiate a review request that includes base material grade and consumable model, and verify that the dialogue context only retains historical records from the current session, with no data from other batches.
  • Initiate two review requests for different weld seams simultaneously, and verify that the two sessions do not interfere with each other, and each returns the review results for the corresponding batch.
  • Attempt to access a conversation record using a non-creator account, and verify whether a permission error is triggered.
  • Trigger an export operation, and verify that the generated download link is associated with the review content of the current session.

The values given are common starting points and should be measured against the reader's own samples.