What the data for this category looks like
Data sources for precast concrete components include BIM or detailed design documents, steel bar and concrete batch ledgers, mold table and curing kiln operation records, laboratory test reports, and QR code traceability systems. Daily documents include component detailed drawings, steel bar cutting lists, mold inspection records, pouring and vibration records, curing records, demolding and factory inspection reports. Data is updated per single component, per batch of materials, and per curing kiln batch. Fields include component ID, steel bar diameter, concrete strength grade, and curing duration. Common units are millimeters, cubic meters, hours, megapascals, and similar units.
Constraints on HTTP interfaces and external systems
Because precast concrete component data is updated per single item, per batch, and per curing kiln, interface calls must align with business update rhythms. This prevents pulling expired data that causes Q&A errors. Daily document types are diverse. Interfaces must support reading and Q&A calls for multiple file formats, to accommodate query needs for different documents such as detailed drawings and cutting lists. Fields include business parameters with specific units. Interface requests must carry standardized field validation rules to ensure accurate Q&A matching. Component errors have severe consequences. Interfaces must be configured with failure retry mechanisms and complete log retention. This facilitates troubleshooting issues such as embedded part misalignment and insufficient concrete strength.
Configuration settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a Bearer token with a 7-day validity period | Matches platform security validation rules to prevent unauthorized access |
variables | Pass component ID, concrete strength grade, and curing kiln ID | Corresponds to core business fields for precast concrete components, accurately matching process specification Q&A requirements |
responseData | Return component inspection records, curing parameters, and cutting lists | Covers core data sources for daily process and standard Q&A |
| Single Q&A response limit | Top 3 matching results | Avoids returning excessive redundant data, adapting to on-site factory quick query scenarios |
| Interface timeout | 300 seconds | Accommodates reading and calculation time for large files such as curing records and strength test reports |
Three common configuration mistakes
- Attempting to directly download original files uploaded to the knowledge base via the interface returns empty content. The cause is incorrect configuration of file access permissions, or the call path not matching the platform's native file download interface rules.
- Calling the interface to obtain MCP tool call records for workflow execution returns results that do not match actual execution steps. The cause is failing to pass the correct workflow instance ID in
variables, leading to incorrect query scope. - Mixing local and online large model call logic when configuring interface parameters, leading to abnormal responses. The cause is failing to clearly distinguish interface request headers and parameter formats for different deployment environments, and failing to select corresponding configurations based on business scenarios.
How to verify correct configuration
- Initiate an interface request carrying an
Authorizationtoken. Verify that the return status code is 200 and includes business-related Q&A results. - Pass the component ID of a precast concrete component as the
variablesparameter. Confirm that the returned results include corresponding steel bar cutting lists and curing records. - Simulate abnormal requests such as invalid tokens or incorrect fields. Verify that the interface returns expected error prompts and status codes.
- Check interface logs. Confirm that
responseDatafor each call includes matching process specification and technical standard data.
The values provided are common starting points and should be measured against the reader's own samples.