What data falls under this category
Data for this category primarily comes from historical traffic data, service topologies, monitoring metrics, and business growth plans. Daily output documents include technical solutions, architecture diagrams, capacity assessment reports, and technical review minutes. Document fields include service node identifiers, port configurations, resource occupancy thresholds, business expansion nodes, and similar items. Update frequency is monthly or alongside major requirement iterations. The data structure is designed for long-term evolution needs across service boundaries, and excludes non-technical business operation details.
What constraints do these characteristics impose on the citation sources and traceability link
The characteristics of technical documents across service boundaries require traceability to associate multi-dimensional data sources, ensuring that referenced service topologies, traffic data, and review minutes can be cross-verified to avoid bias from single data sources. Document structures updated monthly or alongside major requirements require traceability links to bind document version identifiers, preventing reference to expired capacity assessments or architecture configurations that could compromise system evolution compliance. Constraint conditions and evolution roadmap fields in technical solutions must be matched against actual operating metrics of corresponding services during traceability, ensuring referenced content aligns with current system state to support subsequent technical reviews and expansions.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
quoteMaxToken | 8000–12000 token | Adapts to the average length of architecture design documents, ensuring associated technical solutions and review minutes can be fully loaded during traceability |
| Maximum number of citations | Top 3–5 entries | Core supporting documents for technical solutions typically number 3–5; excess entries will exceed context limits |
responseData | Return only metadata and citation snippets of associated documents | Security and compliance reviews require clear traceability sources, avoiding redundant content that disrupts review logic |
detail | Return full document version and update time | Adapts to the update rhythm of monthly updates or documents tied to major requirement iterations, ensuring referenced content is the current active version |
| Context window reserve | 1000–1500 characters | Ensures complete display of fields such as architecture diagram node configurations and resource thresholds, preventing truncation of critical information |
Three common configuration mistakes
- Symptom: Unable to specify knowledge base documents via variable selection, with no clear description for configuration parameters. Cause: Incorrect configuration of the return scope for
responseData, failure to associate knowledge base document identifier parameters. - Symptom: Review tasks fail due to context overflow, returning status code 413. Cause: The value set for
quoteMaxTokenexceeds the platform default limit, and is not adapted to the actual length of architecture design documents. - Symptom: Extracted text content does not match knowledge base citations, with misalignment. Cause: No reasonable context window reserve configured, causing associated original documents and citation snippets to fail to bind correctly.
How to verify successful configuration
- Manually upload a historical technical review minute, trigger a review task, and check whether the returned citation sources include the document’s version and update time.
- Adjust the value of
quoteMaxToken, verify that the task can normally load the target document without context overflow errors. - Set the maximum number of citations to a specified range, check whether the number of returned citation results matches the configured range.
- Verify that the configuration takes effect on FastGPT v4.17.0, ensuring the version matching switch operates correctly.
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.