Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Systems generating engineering consulting supervision data use on-site records from project advancement, sub-acceptance ledgers, progress control forms, and rectification closure archives, and update this data synchronously with project milestones. Single submitted documents include structured fields and non-standard on-site records. Structured fields include project unique identifier, supervision unit name, acceptance link name, rectification requirement text, and rectification completion deadline. Supported units include natural days, square meters, ten thousand yuan, and others. Document lengths range from hundreds to thousands of characters.
Constraints imposed by these characteristics on HTTP interfaces and external systems
Engineering consulting supervision data centers on individual projects. It includes a high proportion of structured fields linked to unique identifiers, plus a large volume of non-standard on-site records. HTTP interfaces must support filtering incremental data by project ID and timestamp, to avoid excessive resource consumption from full data pulls. Data contains clear deadline and engineering quantity units, so interfaces must retain the original field’s unit mapping rules to prevent parsing deviations in downstream systems. Document lengths vary widely, so interfaces must implement pagination return mechanisms, limiting the number and total size of documents returned per request to avoid transmission timeouts or memory overflow. Interfaces must also support structured field queries and full-text retrieval, to adapt to mixed-format data call requirements.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
Authorization | Bearer ${team-specific API key} | Engineering supervision data involves project-specific information. Call identity must be verified via the authorization header to prevent unauthorized access. |
| Maximum documents returned per request | Top 20 entries | The batch data volume of supervision projects is moderate. 20 entries balances transmission efficiency and interface load. |
responseData | Only return a specified set of fields | Supervision data contains redundant internal process fields. Extracting only fields required by downstream systems such as project ID, acceptance status, and rectification deadline reduces transmission costs. |
variables | Bind project ID and acceptance link type | Consultation and reply for engineering consulting supervision must accurately match the exclusive data of the corresponding project. Passing filter conditions via variables improves call accuracy. |
| Interface timeout period | 600 seconds | Some supervision data documents are lengthy, and cross-system verification may take a long time. 600 seconds covers most normal call scenarios. |
Three Common Mistakes
- Phenomenon: API calls return consultation replies that differ significantly from online chat results, with some key acceptance data missing. Cause: No project-specific filter conditions are bound in
variables, so the API call fails to accurately match the knowledge base data of the corresponding supervision project. - Phenomenon: Logs display
Api response error: undefinederrors with no specific error information. Cause: No field validation rules forresponseDataare configured, and empty fields received by downstream systems are not properly intercepted, leading to parsing exceptions. - Phenomenon: API calls time out, returning a 504 status code. Cause: No reasonable timeout period is set, or the number of supervision documents returned in a single request exceeds the system processing limit.
How to Confirm Correct Configuration
- Call the interface and pass the
variablesparameter with the specified project ID, then check that the returnedresponseDataonly contains the preset target fields. - Initiate 3 consecutive incremental synchronization calls, confirm that only supervision data updated in the last 24 hours is returned, with no duplicate pulls of old documents.
- Send a test request containing an extremely long rectification record, confirm that the returned document length conforms to the pagination configuration, with no truncation or timeouts.
- Initiate a call with an incorrect
Authorizationparameter, confirm that the interface returns a 401 Unauthorized status code, verifying that identity verification is effective.
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.