What this category of data looks like
Data for this category mainly comes from object storage, data warehouses, annotation platforms, and customer acceptance feedback. It is updated per batch or version. Daily supporting documents include dataset descriptions, version records, delivery lists, and acceptance reports. Fields covered include version numbers, sample scope, delivery package information, acceptance conclusions, and more. Data users include data project managers, data engineers, and customer algorithm teams. Core management links involve version number assignment, sample difference explanations, and delivery integrity checks. Data association features directly impact the context association logic for subsequent reviews.
What constraints do these characteristics impose on the "context and token" link
Data for this category is updated per batch or version, and associated with multiple supporting documents. The context association scope must be strictly bound to the corresponding version’s dataset, to avoid mixing cross-version data. Dataset fields differ between batches. When extracting context, the document structure of the matching version must be used, to prevent incorrect association of sample difference explanations. The delivery integrity check relies on cross-verification of multiple data sources. The quotas for maxContext and quoteMaxToken must reserve sufficient space for key information such as delivery lists and acceptance reports. At the same time, the introduction of redundant data must be restricted, to avoid review interruptions caused by token overrun.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the multi-document context requirements of this category, avoids losing key review information such as version records and delivery lists due to token overrun. The default range for FastGPT v4.17.0 can be adjusted based on actual testing |
quoteMaxToken | 2000–3000 token per entry | Limits the token usage of a single referenced data entry, prevents a single delivery list or acceptance report content from excessively occupying context space |
| Context Version Binding Switch | Enabled | Ensures that review context only associates with the current version’s dataset documents, avoids review deviations caused by mixing cross-version data |
| Context Refresh Trigger Condition | Triggered on version update | Matches the update frequency of this category’s per-batch or per-version updates, ensures the context always carries the latest version records and delivery information |
| Context Cache Retention Duration | 24 hours | Adapts to the version update rhythm of this category, avoids excessive system resource occupation by caches |
Three common misconfiguration issues
- Phenomenon: Review context retains old version dataset information, and cannot load the current version’s delivery list. Cause: The context version binding switch is not enabled, or the refresh triggered on version update is not configured. The cache is not automatically cleaned with version iterations, which corresponds to a common community scenario where context clearing requirements are not met.
- Phenomenon: LLM returns empty results, and logs show token overrun errors. Cause: A reasonable value for
quoteMaxTokenis not set. A single referenced data entry occupies too many tokens, causing the overall context to exceed themaxContextquota. This corresponds to a common community error scenario where LLM responses are empty. - Phenomenon: The review result does not include complete sample difference description content. Cause: A reasonable range for
quoteMaxTokenis not set, causing the token usage of the sample difference description to be excessively truncated, so it cannot be fully loaded into the context.
How to confirm configurations are set correctly
- Trigger a version update operation, check whether the loaded context documents are the current latest version’s dataset descriptions, delivery lists, and other files.
- Import the single largest-volume delivery list document, check whether the system triggers a token overrun prompt, and adjust the configuration item values to a range that meets current review requirements.
- Submit a change review request, confirm that the returned result includes all expected associated data, with no missing key information.
- View system logs, confirm that the context cache only associates with the current version’s dataset, with no cross-version data remaining.
The values provided here are common starting points, and should be validated against the samples relevant to the specific deployment scenario.
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.