What the Data for This Category Looks Like
This category's data primarily originates from logging systems, Trace platforms, Metrics systems, and application SDKs. Daily maintained documentation includes logging collection specifications, link tracing instructions, metric dictionaries, and dashboard configuration records. Data update frequency is typically daily or aligned with version iterations. Fields include timestamps, log levels, trace IDs, metric values and their corresponding units. For example, latency is measured in milliseconds, and log storage capacity is marked in GB.
Constraints Imposed by These Characteristics on Source Citation and Traceability
Decentralized data sources require integrating contextual information across multiple systems. During traceability, trace IDs from different platforms must be associated to ensure complete context. High update frequency means indexes must be refreshed regularly to ensure cited content matches current system states. Document structures are layered and technically focused, requiring precise matching to corresponding document sections to avoid information confusion from cross-category citations. Fields include specific identifiers such as trace IDs, which must be extracted as association criteria during traceability. Without this, original logs or metric records cannot be accurately located. Unit differences between logs and metrics may cause citation confusion, so units must be unified during traceability to avoid data interpretation bias.
How to Configure Settings
This configuration is based on FastGPT v4.17.0
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Similarity threshold | 0.7–0.9 | Filters low-relevance log and metric data to avoid redundant citations |
| Single recall count | Top 3–5 entries | Controls total context length to comply with the quoteMaxToken limit |
| Maximum context length | 800–1200 characters | Adapts to the typical length of single log and metric data, avoiding exceeding model input limits |
| Response data inclusion scope | Original log snippets + trace ID | Ensures complete link information from the Trace platform can be directly associated during traceability |
| Detail recall switch | Enabled | Supplements detailed content from metric dictionaries and dashboard configurations to improve traceability accuracy |
detail parameter switch | Enabled | Enables detailed traceability information display, including data source and collection time |
Three Common Configuration Mistakes
- Symptom: After setting the knowledge base minimum relevance threshold to 0.1, the response still returns a large number of irrelevant log snippets and metric records. Cause: The similarity threshold is not configured correctly, or the single recall count is set too high, failing to filter low-match content.
- Symptom: An empty
responseDataerror is returned when calling the API. Cause: The corresponding configuration for response data inclusion scope is not enabled, or the parameter value exceeds the system-supported range. - Symptom: Unable to associate complete logs corresponding to the original trace ID during traceability. Cause: The trace ID extraction and association logic is not enabled in the configuration, or the trace ID field was not correctly marked during log collection.
How to Verify Configurations Are Correct
- Input a known log keyword and check if the cited content in the response includes the original snippet of that keyword.
- Check the traceability information at the end of the response to confirm whether the data source is marked as logging system, Trace platform, or Metrics system.
- Adjust the similarity threshold and observe whether the number of cited entries in the response changes accordingly to verify that the threshold configuration is effective.
- Test calling the API to confirm that the
detailparameter returns expected traceability details, including data collection time and source identifier.
The values provided here are common starting points and should be evaluated 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.