What the data for this category looks like
The data for this category comes primarily from advertising platform backends, customer qualification systems, contract management systems, and publicly available regulatory rules. Four types of documents are produced regularly: advertising review forms, qualification attachments, delivery records, and rectification notices. Data updates trigger per individual advertising campaign or monthly cycle. Document structures include basic identification fields, associated business fields, and compliance verification fields. The character count of individual documents varies widely, from dozens of characters for audit identifiers to thousands of characters for delivery records. No additional statistical supplementary fields are included.
What constraints these characteristics impose on the tool calling and plugins workflow
The data sources for this category are scattered, involving multiple independent systems such as advertising platforms, customer qualification systems, and contract systems. The tool calling link must support configuration of multi-source access credentials to pull corresponding data. Document types are diverse, including structured tables, unstructured text, and image attachments. Tools must adapt to parsing logic for different formats. Data update cycles trigger per individual advertising campaign or monthly cycle. Tool calling must support on-demand triggering. The character count of individual documents varies widely. Tools must adapt to content processing for different lengths. At the same time, the accuracy of compliance logging is directly linked to regulatory inspection results. Execution logs and return results of tool calls must be fully retained.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to the automatic parsing needs of multi-type documents in advertising compliance logging scenarios, no need to manually specify calling tools |
functionCall | {"name": "parse_compliance_doc", "parameters": {}} | Targets the standardized parsing needs of compliance documents, specifies a dedicated tool function to process structured and unstructured content |
| Tool call timeout setting | 600 seconds | Pulling and parsing a single compliance document covers most business scenarios; 600 seconds meets most processing duration requirements |
| Tool call result retention | Full retention | Compliance logging requirements mandate complete preservation of tool call inputs, execution processes, and return results for subsequent regulatory verification |
| Multi-source tool credential configuration | Configure independent access keys separately by data source | Data for this category comes from multiple independent systems such as advertising platforms and customer qualification systems; corresponding access permissions must be configured separately |
| Tool call trigger rule | Trigger upon completion of advertising campaigns or monthly milestones | Matches the update rhythm of this category’s data tied to individual advertising campaigns or monthly cycles |
Three Common Misconfiguration Issues
- Symptom: Tool calls return a
Failed to fetcherror with a status code of 500 or 404. Troubleshooting steps: Check whether the server environment variablesAIPROXY_API_ENDPOINT(root address of the AI Proxy service) andAIPROXY_API_TOKEN(AI Proxy admin token) are not correctly configured, or if the configured address includes a path suffix such as/v1. - Symptom: Qualification attachment data pulled via tool calls is missing or has abnormal formatting. Cause: Corresponding parsing tools are not configured for different document types such as images and PDFs, or multi-source credential configuration errors prevent complete pulling of data from customer qualification systems.
- Symptom: Compliance logging logs are not generated after tool call execution. Cause: The tool call result retention configuration is not enabled, or the retention configuration only saves some execution steps and does not cover complete input and return content.
How to Verify Successful Configuration
- Log in to the server deployment log page in the FastGPT backend, check whether there are missing alarms for
AIPROXY_API_ENDPOINT(root address of the AI Proxy service) andAIPROXY_API_TOKEN(AI Proxy admin token), and confirm that the environment variables are correctly configured. - Manually trigger a tool call, check whether the return result includes delivery records and qualification attachment data for the corresponding advertising campaign, and verify that the data source matches the business scenario.
- View the tool call execution logs, confirm that the call inputs, execution processes, and return results are fully saved, meeting the retention requirements for compliance logging.
- Test tool calls for different types of compliance documents, such as PDF qualification attachments and structured delivery records, and confirm that the parsing results match the expected format.
The values provided 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 2026-10-19.