Business Process Guidance for Engineering Construction Project Bidding and Tendering: Multi-turn Dialogue and Prompt Words

Business Process Guidance for Engineering Construction Project Bidding and Tendering: Multi-turn Dialogue and Prompt Words

What this category’s data consists of

Data for this category comes from national public resource trading platforms, local public resource trading platforms, project approval systems, and bidding supervision systems. Update frequency is daily. Documents handled daily include tender announcements, pre-qualification documents, bidding documents, bid documents, bid evaluation reports, successful candidate announcements, and winning result announcements. Data fields include section division, qualification requirements, bill of quantities, bid evaluation expert records, objection and complaint content, and more. Document structure primarily mixes structured forms and unstructured text.

Constraints imposed on multi-turn dialogue and prompt words

This category’s data is updated daily and sourced from scattered locations. Multi-turn dialogue must link in real time to the latest trading documents, and prompt words must explicitly specify prioritizing access to the latest data from local public resource trading platforms. The mixed structured and unstructured document structure requires multi-turn dialogue to gradually guide users to clarify document types, avoiding confusion between pre-qualification and bidding document clauses. There are many detailed fields such as section division and qualification requirements. Multi-turn dialogue must split questions by processing link, avoiding context confusion caused by overload from single-round input. Winning result announcements have high timeliness requirements. Multi-turn dialogue must respond promptly to user progress query requests, avoiding cases where prompt words do not link to the latest announcement data.

Configuration Settings

Configuration ItemRecommended SettingRationale
Conversation context windowFirst 20 turns of dialogue contentThis category has many document fields and large per-round information volume. Limiting context avoids redundant interference. FastGPT v4.17.0 supports truncating context by turn count
variables variable bindingBind 1 local public resource trading platform data sourceEnsures multi-turn dialogue calls the latest bidding data for the corresponding region
messages historical message managementTruncate old conversations by processing linkAvoids expired bidding document information interfering with current queries
Prompt template configurationSplit into three links: tendering, bid evaluation, objectionMatches the core processing flows of this category
Call timeout setting600 secondsHandles parsing and data pulling for long documents such as bid evaluation reports and winning result announcements
Single input length limit8000 charactersAdapts to long text inputs like bidding documents and bid evaluation reports for this category

Three Common Misconfigurations

  • Phenomenon: Cannot retrieve independent content of a single question in multi-turn dialogue, with context confusion occurring. Cause: Did not correctly use chatId to bind conversation sessions, leading to merged contexts from different questions.
  • Phenomenon: Errors occur after configuring the database connection plugin, and dialogue cannot normally pull bidding documents. Cause: Did not correctly configure data source access permission parameters in variables, causing the plugin to fail connecting to the public resource trading platform database.
  • Phenomenon: Dialogue response time exceeds 600 seconds, but the model call group count is only 1. Cause: Did not set a reasonable call timeout limit. Long document parsing and data pulling exceed the default threshold, leading to session suspension.

How to Confirm Proper Configuration

  • Initiate a query related to tendering, and verify that the conversation context only retains content from the current processing link, with no expired information.
  • Call the database connection plugin, and verify that the latest bidding document data for the corresponding local area can be pulled.
  • Submit a long-text bidding document, and check that the dialogue correctly identifies and extracts core fields such as sections and qualification requirements.
  • View session logs, and confirm that chatId-bound sessions have no context confusion.

The values provided here are common starting points and should be measured against the samples used in the respective deployments.

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.