What the data for this category looks like
Data sources for medical device marketing content include product registration archives filed for enterprise compliance, clinical study reports, and official promotional materials. Updates occur irregularly alongside product iterations and adjustments to compliance policies, with no fixed schedule. Most document structures include fields for product model, registration certificate number, applicable scenarios, operating specifications, and contraindications. Some documents include physical parameter descriptions. Field types are primarily strings and enumerations. Physical parameter fields use standard units such as millimeters, kilograms, and degrees Celsius, with no vaguely stated numerical content.
What constraints these characteristics impose on model access and configuration
The strong compliance requirements of medical device marketing content mandate that registered fields be used as core constraints during model access. This prevents the generation of promotional content that exceeds compliance scope. Irregularly updated data sources require a dynamic pull mechanism to ensure the model always uses the latest compliance documents. The multi-field document structure with clear units requires that marketing content generated by the model strictly matches the units and value ranges of corresponding fields. Parameters must not be mixed up or altered. Additionally, the rigor of clinical-related content requires pre-validation configuration during access to filter generation results that may involve non-compliant promotion.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
systemPrompt | Embed compliance validation rules, limit content generation to only registered product information | Match the strong compliance requirements of medical device marketing, avoid non-compliant promotion |
maxContext | 10000–14000 characters | Cover the full compliance text scope of medical device registration documents and clinical reports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapt to the parsing time requirements of long-form compliance documents |
Recall count | Top 2–4 entries | Precisely recall core compliance fields, avoid irrelevant information interfering with model generation |
Similarity threshold | 0.85–0.90 | Ensure recalled compliance documents highly match the current marketing scenario |
maxTokens | 2000–3000 characters | Control the generation length of single marketing content, meet the length requirements of compliance copy |
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. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The model returns the error
[] is too short - 'messages'during testing. Cause: No valid conversation context is filled in the system prompt or user input, or the configuredsystemPromptis empty, resulting in an insufficient initial message array length. - Symptom: Configuration items are not visible in the interface after adding a new model. Restarting the service does not resolve the issue. Cause: The model's configuration file was not correctly uploaded to the specified directory, or the configuration file format does not meet FastGPT's validation rules.
- Symptom: Conversation records are shared when multiple users access the system, or independent keys cannot be generated for individual users. Cause: The
ENABLE_KEY_ISOLATIONconfiguration is not enabled, or the FastGPT key generation API is not called to implement user-level key isolation.
How to confirm the configuration is complete
- Manually trigger a model test, input a query that includes medical device compliance fields, and verify that the returned content strictly matches the registered information.
- Upload a medical device registration document, check that the parsed fields are fully extracted with no missing or incorrect content.
- After configuring multi-user isolation, use two different keys to initiate conversations, confirm that conversation records cannot be accessed by each other.
- Adjust the
Similarity threshold, verify that the number of recalled documents meets the expected matching accuracy requirements.
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.