What the data for this category looks like
Medical device investment research data mainly comes from official registration approval documents, clinical research reports, manufacturer technical white papers, centralized procurement announcements, and industry standard documents. The update rhythm of this data varies significantly. Registration certificates and industry standards have long update cycles. Clinical data and centralized procurement information update more frequently. The length of individual documents varies widely, ranging from hundreds of words of parameter description pages to dozens of pages of clinical research reports. Structured fields include registration certificate number, manufacturing enterprise, applicable population, technical parameters, and others. Some parameters require accompanying units, such as imaging resolution in μm and number of scan layers in layers.
What constraints do these characteristics bring to the conversation logs and auditing link
The long-document nature of medical device investment research data requires conversation logs to fully record the range of called document fragments, to prevent critical technical parameters from being truncated. The large number of structured fields with units requires the auditing link to track the call chain of specific fields and verify whether parameter units meet compliance requirements. Differences in update frequencies cause information timeliness issues, so logs must be bound to version identifiers of corresponding data to ensure the release time of the original data source can be traced during audits. Additionally, the wide variation in context length of multi-turn investment research conversations per user requires clear context storage boundaries for logs, to avoid invalid data occupying storage resources.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Medical device investment research documents are mostly long texts, and need to cover complete technical parameter and clinical conclusion fragments |
logRetentionDays | 180–365 days | Medical device regulatory audit requirements require retaining at least 180 days of investment research conversation records, and some scenarios need to extend to 365 days |
auditLogIncludeSource | Structured fields + document fragment metadata only | Medical device investment research focuses on auditing parameter calls and data source compliance, and there is no need to store complete original documents |
contextSavePerRound | First 3 conversations + current request | In multi-turn investment research conversations, core parameter verification and data source tracing are concentrated in the first 3 turns, which balances storage and retrieval efficiency |
paramUnitCheckSwitch | Enabled | Medical device technical parameters must strictly match units, and the auditing link needs to automatically verify the compliance of parameter units |
exportLogMaxSize | 500 MB | The size of a single batch of exported audit logs must be controlled to adapt to the import limits of most compliance review tools |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: An error occurs when calling after configuring
apiToken, and third-party logs show that the incoming token isfastgpt. Cause: The exclusive token for third-party calls is not correctly bound, and only the platform's built-in default token value is used. - Phenomenon: Two AI nodes in the workflow are configured with different context retention rules, and context storage is abnormal when called multiple times with the same user ID. Cause: An independent session identifier is not assigned to a single investment research session, resulting in conflicting context configurations between nodes.
- Phenomenon: The unit field of medical device technical parameters is empty in the exported conversation audit log. Cause: The
paramUnitCheckSwitchconfiguration is not enabled, and parameter unit information is not automatically captured in the log.
How to confirm the configuration is complete
- Enter the platform log management page, filter sessions related to medical device investment research, and check whether the logs contain exclusive fields such as registration certificate numbers and technical parameter units.
- Initiate a test conversation that includes long document fragments, and check whether the log completely covers the document content without truncation.
- Call the third-party interface to initiate a test, confirm that the incoming token matches the exclusive token configured on the platform, and there are no matches for the default token
fastgpt. - Trigger audit log export, check whether the size of the exported file meets the preset threshold, and there is no abnormal truncation.
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.