What this category of data looks like
This category of data comes from engineering construction project approval management systems, construction drawing review systems, enterprise qualification databases, and public credit platforms, and is updated daily. Commonly processed documents include construction permit applications, construction drawing review qualification certificates, quality and safety supervision procedures, and completion acceptance record forms. Document fields include project unique ID, participating unit qualification level, approval node status, material submission deadline, and other items. The character count of a single approval material ranges between 1000 and 5000 characters.
What constraints these characteristics impose on the multi-turn dialogue and prompting link
Data sources for this category are scattered, requiring integration of fields from multiple systems. Multi-turn dialogue must guide users to supplement material information step by step according to the approval workflow. The character count of a single material is large, so context length must be limited to avoid exceeding the model's processing limit. Data is updated daily, so prompts must consistently call the latest qualification database and credit platform data. Errors in approval links can lead to unlicensed construction or record filing failures. Multi-turn dialogue must verify the compliance of key fields in each interaction.
Configuration Setup
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to the engineering approval project unique ID | Ensure each round of dialogue is associated with the historical materials and approval nodes of the corresponding project |
messages | Store in segments according to the approval workflow, retain the most recent 20 rounds of dialogue | Match the character count of single approval materials, avoid context overflow |
variables | Preset 12 core variables including project ID, participating unit qualification type, etc. | Quickly call standardized fields within the approval system |
| Maximum context length | 8000–12000 token | Adapt to the character count of single approval materials, avoid the model truncating key information |
| Single dialogue response timeout | 600 seconds | Allow sufficient processing time for material integration and qualification verification |
Three Common Configuration Errors
- Dialogue history fails to associate with the corresponding approval project. The symptom is that materials from different projects are mixed in the same dialogue. The cause is failure to bind
chatIdto the project unique ID. - Dialogue triggers a timeout error. The symptom is that the interface displays a request timeout prompt. The cause is that the single dialogue response timeout setting is shorter than the processing time required for material integration.
- Generated approval materials lack key qualification fields. The symptom is that the construction permit application does not include the participating unit qualification level item. The causes are failure to preset qualification-related variables in
variablesand failure to call the latest enterprise qualification database data.
How to Verify Successful Configuration
- A test approval project is created, basic information is entered, a multi-turn dialogue is initiated, and whether the dialogue history is bound to the corresponding project ID is verified.
- A simulated approval material is uploaded, prompt generation is triggered, and whether the generated content includes the preset
variablesfields is checked. - A wait period of more than 600 seconds is completed, and the absence of dialogue timeout errors is confirmed.
- Approval links are switched, and the ability of multi-turn dialogue to guide supplementary materials according to the workflow is verified.
The values provided are common starting points and should be evaluated against local 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.