What Data for This Category Looks Like
Medical aesthetic marketing content primarily originates from internal project archives, compliant promotional materials, doctor practice information databases, and user pre- and post-operative case materials. Some content includes installment payment or stored-value financial marketing information. Update cycles adjust based on project iterations and compliance requirements, with no fixed schedule. Most documents are structured mixed-text-and-image content, with fields including project name, service duration, compliance qualification number, pricing range, number of installment periods, and target audience description. Common units are treatment, course, minute, yuan, and period.
Constraints for HTTP Interfaces and External Systems
The presence of the compliance qualification number field requires interfaces to add validation logic for qualification number formats, to prevent invalid compliance information from being passed. The mixed-text-and-image document structure requires interfaces to support multipart form uploads, while limiting single-file size and allowed formats. The update cycle tied to project iterations requires interfaces to support incremental sync interfaces, pulling only updated content instead of full backups. The field formats for pricing ranges and installment periods require interfaces to return arrays or range strings, to adapt to parsing logic across downstream systems including financial systems. Additionally, medical aesthetic data involves compliance and privacy requirements, so interface authentication must balance security and docking efficiency.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOCAL_LLM_CHAT_PARAMS | Only override temperature and max_tokens, retain the default stream configuration | Medical aesthetic marketing content generation requires stable output formats, to avoid inconsistent output caused by parameter differences between local and online large models |
TTS_API_BASE_URL | Use the official access domain name of the corresponding service provider | Need to adapt to the pronunciation style and compliance requirements of medical aesthetic marketing voice materials |
WORKFLOW_FILE_UPLOAD_ENABLED | Enabled | Medical aesthetic marketing content requires uploading materials such as pre- and post-operative case images |
PLUGIN_FILE_PARAM_NAME | file | Universal file parameter naming rule for most downstream plugin systems, adapted to the transfer of medical aesthetic case materials |
SYNC_INCREMENTAL_INTERVAL | 3600 seconds | Medical aesthetic project updates occur at a moderate frequency; hourly sync balances data timeliness and interface load |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: When calling local large models and online API large models,
400 Bad Requestis returned, or the generated marketing copy style differs significantly. Cause: Some local large models do not strictly follow the officialchat/completionsparameter specification, and the default parameter coverage range is inconsistent with the online version. - Phenomenon: After configuring
TTS_API_BASE_URL, the generated voice cannot be played normally, or a403 Forbiddenerror is returned. Cause: The interface address is not configured as a compliant domain name that supports cross-origin requests, or authentication parameters required by the service provider are not included. - Phenomenon: Medical aesthetic case images uploaded via API-triggered workflows are not correctly identified, or associated fields are empty. Cause: The correct file parameter name is not specified in the request body, or
Content-Typeis not set tomultipart/form-data.
How to Verify Correct Configuration
- Initiate a test call, pass the compliance qualification number of a medical aesthetic project, and check whether the interface returns verification results that match expectations.
- After configuring the TTS interface address, generate a voice version of a marketing copy, and verify the validity of the playback link and the accuracy of the pronunciation content.
- Upload a medical aesthetic case image via an API-triggered workflow, and check whether the workflow node can correctly read the file content and metadata.
- Compare the call logs of local and online large models to confirm that core parameters such as
temperaturetake effect consistently.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.