Reference only; verify against the target FastGPT release and deployment documentation.
What data for this category looks like
The data for municipal water utilities application material and case review primarily comes from municipal water utility approval systems, pipeline operation and maintenance archives, and water-related matter application materials submitted by users. This includes scanned paper documents and structured forms for applications such as drainage permits, water usage installation, and pipeline network renovation. Data is archived and updated monthly by approval batch. Each document contains fields including project number, applicant information, pipeline network point coordinates, water usage parameters, approval node records, and more. Units include water utility-specific metering and spatial units such as cubic meters, millimeters, and square meters.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering workflow
Structured fields for water utility application materials are numerous and include specialized units. Multi-turn dialogue must gradually confirm the compliance of missing fields. Prompt engineering must clearly specify unit verification rules. The volume of associated data for a single batch of cases is limited, so the number of context recall entries must be restricted to avoid information overload. Documents mix scanned materials and structured text, so prompt engineering must distinguish parsing logic for different types of attachments. The approval process follows a fixed sequence of nodes, so multi-turn dialogue must advance review step-by-step according to nodes, and avoid skipping key verification steps.
How to set configurations
| Configuration Setting | Recommended Value Range | Rationale for This Setting |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the typical length of form paragraphs and pipeline network drawing descriptions found in water utility application materials |
| Chunk Overlap Length | 100–150 characters | Preserve approval node association information across chunks to avoid context breaks |
| Maximum Context Window | 6000 token | Match the average text volume of a single batch of cases to prevent exceeding model context limits |
variables | Preset fixed values by approval type | Used to pass fixed business parameters such as project number and pipeline network affiliated area |
messages | Filled in order of approval nodes | Used to store review interaction records for multi-turn dialogue |
| Single Retrieval Count | Top 3 entries | Match the number of cases associated with a single application material to avoid interference from redundant information |
Three common configuration errors
- Phenomenon: Configured prompt engineering does not take effect during dialogue, and returned content deviates from review requirements. Cause: The prompt engineering is not mounted to the
variablesparameter of the current session, or the configuration location does not comply with system rules. - Phenomenon: Historical case association records cannot be retrieved, and dialogue context is lost. Cause: The
chatIdparameter was not correctly passed to bind the session and approval batch archives, resulting in failure to persistently associate session data. - Phenomenon: Uploaded water utility application attachments cannot be parsed correctly, and key fields are not extracted. Cause: Multimodal dialogue support was not enabled in the configuration, or field extraction rules for attachment parsing were not specified in the prompt engineering.
How to confirm the configuration is correct
- A simulated application dialogue may be initiated, a preset project number entered, and the returned content checked to confirm if it automatically associates approval node information for the corresponding case.
- Questions about different approval nodes may be entered, and the dialogue confirmed to advance step-by-step according to the preset process without irrelevant information interference.
- A test water utility application PDF may be uploaded, and the system checked to confirm if it correctly extracts specialized fields such as water usage parameters and point coordinates from the form.
- The session parameter list may be viewed, and confirmation made that fixed business parameters for the current approval have been passed in
variables, and that thechatIdparameter has correctly bound the session.
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.