This configuration is based on FastGPT v4.17.0.
What the data for this category looks like
Daily documents for this category include inspection specifications, sampling plans, incoming material reports, supplier audit reports, exception contact sheets, 8D reports, concession approval documents, and others. Data sources cover purchase orders, drawings and specifications, supplier quality certificates, inspection equipment, historical quality data, and supplier portals. Data update frequency varies by business scenario: new incoming material reports and inspection records are generated for each batch of incoming materials. Supplier quality evaluations are conducted monthly or quarterly. Supplier audits and exception rectification verifications are carried out irregularly. Document structures are mostly structured fields, including batch number, supplier ID, inspection items, judgment results, rectification requirements, and others. Some documents include numeric parameters such as sampling quantity, non-conformance judgment thresholds.
What constraints do these characteristics impose on the tool calling and plugins workflow
The scattered data sources and uneven update frequencies require tool calling to support quick switching and real-time synchronization across multiple data sources. This avoids incorrect inspection judgments caused by data lag. The diverse document structures and strict field requirements mean tool calling configurations must adapt to business documents of different formats. This ensures parameter checks cover all required fields. The inspection process for each batch of incoming materials must respond quickly to production schedules. The delay of tool calling must be controlled within a reasonable range, otherwise production progress may be affected. In addition, quality control objects come from external suppliers. Tool calling must associate full lifecycle data of suppliers. A failure fallback mechanism is required to prevent defective materials from entering production links due to calling exceptions.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapt to the variable tool calling requirements in incoming material inspection and supplier quality scenarios, automatically match tools such as inspection specifications and supplier data queries |
| Workflow/API function-call configuration | Enabled | Adapt to the business requirements of this category, which needs to call external tools to complete sampling plan matching and 8D report queries |
| Function call parameter validation | Enabled | Match the strict field requirements of documents of this category, avoid calling failures caused by missing parameters or incorrect formats |
| Context recall limit | Top 5 entries | Balance result accuracy and calling delay, adapt to the rapid inspection requirements of each batch of incoming materials |
| Tool calling timeout | 30–60 seconds | Adapt to the real-time response requirements of production processes, avoid delaying incoming material inspection progress due to waiting timeouts |
| Plugin data source scope | Limited to supplier quality certificates and historical quality data | Focus on the core business data of this category, avoid introducing irrelevant information that interferes with judgments |
Three common mistakes
- Tool calling returns
400 InternalError.Algo.InvalidParametererror. The cause is that parameter validation rules are not configured for the document fields of incoming material inspection, and parameter values that do not meet inspection specification requirements are passed in. - The number of results returned by plugin calls does not match expectations. The cause is that the data source scope of the plugin is not limited, and business documents unrelated to the current inspection batch are called, leading to dilution of valid information.
- Tool calling triggers a timeout. The cause is that the set timeout period is too short, which cannot complete batch queries of supplier historical quality data, failing to adapt to the rapid inspection requirements of each batch of incoming materials.
How to confirm the configuration is complete
- Initiate a simulated incoming material inspection tool call, check whether the returned results include the inspection specifications and supplier quality certificate information corresponding to the current batch.
- View the tool calling logs, confirm that the parameter validation rules normally block input content that does not meet the format requirements.
- Simulate an exception scenario call, check whether the timeout mechanism is normally triggered and returns clear prompts.
- Compare the calling results of different batches of incoming materials, confirm that the data source scope limitation takes effect, and no irrelevant data is introduced.
The values provided are common starting points and should be measured against the reader's own samples.