What data for this category looks like
Follow-up record summary data originates from call transcripts of hotline customer service, and content filled in the follow-up stage of ticket systems. It is generated after follow-ups are completed by customer service staff or automated voice systems. The update rhythm is real-time sync to the knowledge base immediately after a single follow-up is completed.
The document structure includes structured fields and unstructured text: structured fields include follow-up ID, follow-up target number, follow-up time, and follow-up staff employee ID. The unstructured part includes customer feedback details, rectification requests, and preliminary handling opinions. The length of a single entry is mostly between 200 and 1500 characters, and some content contains colloquial expressions.
What constraints these characteristics impose on the "tool calling and plugins" link
The mixed structured and unstructured document structure requires tool calling to support both structured field extraction and unstructured semantic parsing. Plugins need to preset mapping rules for corresponding fields.
The real-time sync update rhythm requires the tool calling trigger logic to be bound to the follow-up completion event hook, to avoid outdated tool calling data caused by delayed sync.
The single-entry length range requires tool calling to adapt to an input scale of 200 to 1500 characters, to avoid exceeding context window limits.
The presence of colloquial expressions requires tool calling to have a certain degree of semantic fault tolerance, to avoid parsing failures caused by non-standard expressions.
Data comes from hotline and ticket systems, requiring plugins to connect to the open APIs of the corresponding systems, and configure access permissions and authentication parameters for the corresponding APIs.
How to configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapt to the mixed content of follow-up record summaries, automatically select tool calling or text generation |
functionCall | Only call field extraction and semantic parsing tools | Limit the scope of tool calling for the structured and unstructured content of follow-up records |
| Tool trigger timing | Trigger immediately after follow-up completion | Match the real-time sync update rhythm to avoid calling outdated data |
| Context window threshold | 16384 token | Adapt to the length range of single follow-up record summaries to avoid content truncation |
| Plugin authentication configuration | Configure API keys and permission ranges for ticket and hotline systems | Data comes from two types of systems, requiring access permissions for the corresponding APIs |
| Tool calling timeout | 60 seconds | Adapt to the real-time requirements of hotline scenarios, avoid excessive waiting that affects ticket workflow |
Three common errors
- Phenomenon: Structured fields returned by tool calling are empty. Cause: No field mapping rules for follow-up record summaries are configured, causing the plugin to fail to identify target fields to extract.
- Phenomenon: Tool calling trigger delay exceeds 2 minutes, with status code 408 returned. Cause: Tool trigger timing is set to scheduled batch processing, not bound to the follow-up completion event hook, causing calling data to not be synced in real time.
- Phenomenon: When calling an external AI model to generate parsing code, it fails to correctly match the business fields of follow-up records. Cause: No field definitions for follow-up records are preset in the plugin configuration, causing the generated code to not match the business scenario.
How to confirm the configuration is complete
- Manually trigger a tool call, check if the returned results include preset fields such as follow-up ID and customer feedback, and verify that the field mapping rules take effect.
- Simulate a follow-up completion event to trigger a tool call, check if the call duration meets the business real-time requirements, and verify that the trigger timing configuration is correct.
- Check the plugin's authentication configuration items, confirm that the corresponding API keys for the ticket and hotline systems have been filled in, and verify that the interface permissions cover the target data scope.
- Verify that the length of the tool calling return result matches the length of the input follow-up record summary, and confirm that the context window threshold setting meets business needs.
The values provided here 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.