What this category of data looks like
Building engineering general contracting business data originates from project bidding documents, on-site construction logs, completion acceptance archives, and approval and filing materials from local housing and urban-rural development departments. The data update rhythm adjusts with project progress. Project initiation approval information updates during the initiation phase. Weekly progress milestones and on-site visa data update during the construction phase. Acceptance qualification certificates archive during the completion phase. Each individual project document includes fields such as project ID, construction unit, construction scope, duration milestones, cost details, and acceptance standards. Field units use engineering standard units including square meters, ten thousand yuan, and calendar days.
What constraints these characteristics impose on tool calling and plugins
Business data for building engineering general contracting is distributed across multiple sources. Tool calling workflows must support connection to multi-source data interfaces to pull information from distinct modules such as bidding, construction, and acceptance. Data update rhythm shifts dynamically with project phases. Tools must support on-demand data refresh to meet timeliness requirements for ad-hoc inquiries. Business fields use engineering-specific units. Tool input parameters must strictly match exclusive fields like project ID and construction scope to avoid matching failures from generic parameters. Individual project documents have large file sizes. Tool calling must adapt to long-text data transmission and parsing to prevent truncation of critical information.
How to configure the settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Auto-select tool | Adapts to tool calling needs for multi-scenario inquiries in building engineering general contracting |
| Single tool call timeout | 120 seconds | Pulling building project data requires connecting to multiple interface types; 120 seconds covers most conventional inquiry scenarios |
| Tool return result limit | Top 8 entries | Building project data includes many entries; the top 8 entries cover key information for core inquiries |
functionCall | Trigger by specified tool | For high-frequency inquiry scenarios such as cost and progress, force calling corresponding tools to improve matching accuracy |
| Context window length | 8000–12000 characters | Individual building project documents have large volume; sufficient context must be retained for complete parsing |
| Professional term adaptation switch | Enabled | Building engineering contains a large number of professional terms; enabling this optimizes parameter matching logic for tool calling |
Three common errors
- Phenomenon: After a workflow runs, tool calling nodes return empty result fields, or fields cannot be referenced in subsequent conversation nodes. Cause: Result return mapping is not enabled in the tool configuration, or tool output variables are not correctly bound to workflow nodes.
- Phenomenon: Token consumption displayed in the system prompt differs from actual API returned token values from the called model. Cause: Building engineering data includes many professional terms; pre-parsed text during tool calling is not included in system prompt token statistics, leading to numerical deviation.
- Phenomenon: After calling a knowledge base combined with tool plugins, returned response content does not match the current building project inquiry question, and instead associates information from other projects. Cause: No project ID filtering parameter is added before tool calling, causing the knowledge base to recall document data from unrelated projects.
How to confirm correct configuration
- Initiate a progress inquiry for a single building project, and check if fields returned by the tool calling node include exclusive information such as project ID and duration milestones.
- View system logs to confirm tool calling timeout settings match conventional response durations for building project data pulling.
- Verify that the number of tool return results matches the configured limit rule.
- Test high-frequency inquiry scenarios to confirm that the tool automatically selected by
toolChoicecorresponds to the inquiry requirements.
The values provided are common starting points and should be measured against applicable project 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.