What this category's data looks like
Data for this category comes from national public resource trading platforms, local public resource trading platforms, engineering approval systems, and bidding and tendering supervision systems, with a daily update frequency. Daily business documents include tender announcements, pre-qualification documents, bidding documents, tendering documents, bid evaluation reports, successful bid candidate announcements, and successful bid result announcements. Each document contains core fields such as section information, qualification requirements, bid evaluation rules, and successful bid results. This data supports daily work for development and reform departments, housing and urban-rural development, transportation, water conservancy industry competent departments, public resource trading centers, and bidding agencies.
What constraints these characteristics impose on the "multi-turn dialogue and prompt words" link
Daily updated data sources require regular synchronization of policies and trading documents to prevent expired content from reducing Q&A accuracy. Structural differences across multiple business document types require prompt words to clearly define query scenarios, and distinguish retrieval rules for different document types such as tender announcements and bid evaluation reports. Scenarios with multiple users require isolated conversation contexts to avoid mutual interference between historical queries from different users. Additionally, errors in bidding and tendering business can have serious consequences. Accurate context association must be retained in multi-turn dialogue, ensuring each query is based on previous conversation content and retrieved document data.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages | Retain the last 10 rounds of conversation context, with single-round content not exceeding 800 characters | Matches the length of single business documents in engineering bidding and tendering, avoiding response exceptions caused by context overflow |
variables | Bind two custom variables: "Project Section Type" and "Policy Application Scope" | Adapts to policy matching requirements for different regions and sections, accurately limiting query scope |
| Single search limit | Top 15 entries | Covers multi-source associated documents of bidding and tendering policies, avoiding missing key basis |
| Maximum context | 12000 token, calibrated based on actual testing | Balances retrieval accuracy and response speed, adapting to context accumulation requirements for multi-turn dialogue |
| Question optimization | Enabled | Automatically completes policy query keywords in bidding and tendering scenarios, and adds limiting conditions for relevant regulations |
chatId | Bind independent session identifiers | Isolates conversation contexts of different users or workflows, ensuring independent session status for multi-module workflows |
Three Common Mistakes
- Phenomenon: All output results from multiple AI dialogue modules in a workflow are displayed, while only the result from the last module should be retained. Cause: Independent conversation context is not bound via
chatId, and historical records of each dialogue module are not isolated. - Phenomenon: When initiating policy Q&A for the first time, the first-word response delay exceeds 3 seconds, while subsequent response speeds are normal. Cause: The first request needs to load the policy knowledge base index exclusive to engineering bidding and tendering, and complete session initialization.
- Phenomenon: The preset policy query question is not automatically executed after the dialog box loads. Cause: No session initialization automatic trigger logic is configured, or the
variablesparameter corresponding to the question is not bound.
How to Confirm the Configuration is Correct
- Initiate a multi-turn dialogue including section qualification query, check that only the
messagesrecords of the current session are retained in the context panel, with no redundant historical content. - Simulate the first Q&A initiation, record the first-word response duration, and confirm the delay falls within the expected range.
- After configuring a multi-module workflow, trigger a test process, check that only the result from the last dialogue module is retained in the output.
- After binding the custom
variablesparameter, initiate a query, confirm that the reply automatically adapts to the preset project section type conditions.
The values provided are common starting points and should be measured 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.