What This Category of Data Looks Like
Data for this category originates from multiple business systems in precast concrete component manufacturing plants. It includes component detailed drawings, steel bar cutting lists, mold inspection records, pouring and vibration logs, curing ledgers, demolding and factory inspection reports, and other related materials. Data sources include BIM or detailed design files, steel bar and concrete batch ledgers, mold table and curing kiln operation data, laboratory test records, and QR code linked information for full-process traceability. Data updates align with production workflows. Corresponding records are created for individual components, each raw material batch, and every curing operation in the kiln. Fields include component number, steel bar specification, curing temperature, demolding strength, and other relevant metrics. Some documents must be associated with project location and hoisting point details.
Constraints Imposed on Tool Calling and Plugin Workflows
Precast concrete component data comes from dispersed sources and updates in line with production stages. Tool calling must support real-time synchronized queries across multiple data sources. This prevents use of expired raw material batches or curing kiln data. Document structures vary widely, including different formats such as detailed drawings and steel bar cutting lists. Plugins must adapt to parsing rules for multiple document types, and cannot rely on a single parsing logic. The individualized update logic requires tool calling to associate a specified component number each time it is triggered. This avoids mixing data across different components. Errors can lead to severe consequences. Tool calling results must include clear traceability fields. This ensures rapid location of the corresponding production stage when anomalies occur. Additionally, each precast concrete component corresponds to exactly one on-site hoisting position. Tool return parameters must include precise installation point information. Fuzzy matching results are not acceptable.
Configuration Settings
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice capability flag | Set to true or false to match the selected model/API's documented support | Declares model capability; it does not select a tool. The deployment owner must configure and authorize the required process-standard lookup tool |
| Pre-tool calling parameter verification | Enabled, with verification fields including component number, batch number, and curing kiln number | Precast concrete component production data has strong interconnection. Missing parameters will cause query results to not match the target component, leading to scrap risks |
| Single tool call result limit | Top 3 entries | The volume of associated inspection and curing data for a single component batch is limited. Excessive results will interfere with verification against process standards |
functionCall capability flag | Set to true or false to match the selected model/API's documented support | Declares function-calling support; it is not the name of a process-standard query function. Configure the callable function/tool in the workflow or integration |
| User input confirmation trigger | Triggered after parameter extraction is complete | Process parameters such as demolding strength and curing temperature require manual confirmation before execution. This prevents production errors caused by AI misjudgment of parameters |
| Tool call timeout setting | 600 seconds | Queries for cross-system curing records and factory inspection reports require synchronization across multiple data sources. A longer timeout covers the complete data acquisition process |
| Tool call result text length limit | 800–1200 characters | Precast concrete component process specification documents have moderate length. Excessively long results will exceed interface display limits |
Three Common Configuration Mistakes
- Phenomenon: An invalid key error is returned when calling the knowledge base query interface. Check the key and workspace/data permissions, then inspect the full response; the
toolChoicecapability flag does not grant data access. - Phenomenon: The tool calling module directly executes operations after extracting process parameters, without popping a user confirmation popup. Cause: The user input confirmation trigger configuration item is not enabled, or the rule of triggering after parameter extraction is complete is not selected during configuration.
- Phenomenon: After tool calling is completed, the interface displays both AI-generated natural language responses and tool-returned structured data, and the natural language responses cannot be hidden individually. Cause: The setting to only display tool call results is not enabled in the configuration, so both types of content are returned by default.
How to Verify Successful Configuration
- Trigger a process specification query for a known component number. Verify that returned results only include associated data for that component, with no information from unrelated batches.
- Enter a query request with missing parameters. Confirm whether a parameter verification prompt is triggered before tool calling.
- After extracting process parameters, confirm whether a user confirmation popup appears on the interface. Final results will only be returned after confirmation is completed.
- Trigger a tool call. Verify that the interface only displays structured data returned by the tool, with no additional AI natural language responses.
The values provided here are common starting points. They should be evaluated against local operational samples.