What the Data for This Category Looks Like
This category of data is sourced from the engineering construction project approval management system, construction drawing review system, enterprise qualification database, and public credit platform, with a daily update frequency. Daily processed documents include construction permit application materials, construction drawing review qualification certificates, quality and safety supervision procedures, and completion record forms. Data fields cover participating construction unit qualifications, personnel information, approval node status, and more. All fields follow the standard formats of official systems, with no custom special units.
Constraints on Multi-turn Dialogue and Prompt Engineering
The daily data update requirement mandates that multi-turn dialogue must link to real-time approval data, to avoid referencing expired approval nodes or qualification information. The large number of fixed-structure document fields requires prompts to explicitly specify extraction of corresponding fields such as construction permits and construction drawing reviews, to prevent confusion about material requirements across different approval stages. The party building learning Q&A scenario requires dialogue to simultaneously cover approval process specifications and party building-related integrity and duty performance requirements, while also verifying participating construction unit qualifications and credit data to ensure dialogue output complies with approval compliance requirements.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Single conversation context limit | Top 10 turns of conversation content, with each turn not exceeding 500 characters | Engineering approval processes involve multi-stage materials; focusing on recent conversations avoids interference from redundant data |
| Variable replacement switch | Enabled | Approval-specific fields such as construction permit application numbers and participating construction unit qualification numbers require dynamic replacement |
messages context truncation threshold | 8000 token | Adapts to the mixed content length of party building learning Q&A and approval process descriptions |
| Maximum reply character count | 800–1200 characters | Meets conventional output requirements for approval step explanations and party building knowledge points |
variables variable pool configuration | Import approval system standard fields | Ensures official data fields such as construction permits and completion records can be called during dialogue |
chatId persistence configuration | Enabled | Retains approval progress context for multi-turn dialogue, ensuring conversation state is not lost when users supplement materials |
Three Common Misconfigurations
- Symptom: No parsed result appears after uploading approval documents such as construction permit applications and construction drawing review qualification certificates to the dialogue box, with no error logs in the backend. Cause: No chunking rule is configured for the corresponding engineering approval document format, or the unstructured document parsing switch is not enabled.
- Symptom: Markdown-formatted content generated during multi-turn dialogue loses layout styling when pasted to external dialogue tools. Cause: The dialogue content format-compatible output configuration is not enabled, resulting in only plain text being output.
- Symptom: Unable to actively terminate a running dialogue task when calling the dialogue interface to generate a reply. Cause: No interrupt trigger logic is configured for multi-turn dialogue, and no relevant configuration items for stopping dialogue are bound.
How to Verify Correct Configuration
- Initiate a query containing construction permit application material fields, and verify whether the corresponding approval-specific variables are automatically extracted and replaced in the dialogue.
- Upload engineering approval-related documents, and check whether retrievable chunked content is generated, with no parsing anomaly error messages.
- Initiate multiple consecutive queries, and check whether the conversation retains the dialogue information from previous approval stages, with no content truncation or loss.
- Attempt to trigger a dialogue interrupt operation, and confirm that the currently generated reply can be terminated normally.
The values provided here 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.