What the data for this category looks like
The daily documents for this category include four core file types: configuration item lists, service relationship topologies, change records, and asset inventory sheets. Data sources cover CMDB systems, cloud resource lists, automatic discovery tools, and procurement ledgers. Update frequency is daily or weekly. Fields include configuration item unique identifiers, asset types, associated dependencies, change times, affiliated environments, and more. Units include basic asset metrics such as units, pieces, and time units such as days. Data structures primarily use structured tables and link topology text.
What constraints these characteristics impose on the "model access and configuration" workflow
Mixed input from multiple data sources requires model access configuration to adapt to different asset data formats. Ensure the context window covers all configuration items and change information needed for full compliance reviews. Daily or weekly update frequencies require configuration to match the data refresh rhythm. Do not use expired asset data for compliance verification. Structured dependency fields require configuration to support automatic tool calls. This completes compliance checks for dependencies between configuration items. Balance rigor and response speed. Avoid overly permissive parameters that result in non-compliant review outcomes.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the total length of multiple documents such as CMDB configuration item lists and relationship topologies. Covers full compliance review data updated daily or weekly |
maxTokens | 2000–3000 token | Limits the length of compliance review reports output by the model. Avoids exceeding output limits of the platform or model |
temperature | 0.1–0.3 | Balances rigor and response speed for compliance reviews. Avoids generating content that fails to meet compliance requirements |
toolChoice | auto | Automatically calls tools to verify dependencies between configuration items. Adapts to compliance reviews of CMDB topology structures |
AIPROXY_API_ENDPOINT | http://aiproxy:3000 (replace with actual AI Proxy service root address) | Root address of the AI Proxy service. Do not append /v1 or other API path suffixes. Non-single-model service address |
quoteMaxToken | 1500 token | Ensures referenced configuration item change records and asset inventory data are complete. Does not truncate critical compliance information |
This configuration guide is based on FastGPT v4.17.0.
Three common configuration mistakes
- Returns the
model response emptyerror when called. Troubleshooting: Check if the server has configuredAIPROXY_API_ENDPOINT(AI Proxy service root address) and a non-emptyAIPROXY_API_TOKEN(AI Proxy administrator token). Missing these configurations causes startup verification failures or proxy forwarding exceptions. - Compliance review results do not include validation content for configuration item relationship topologies. Cause: Automatic tool calls via
toolChoiceare not enabled, ormaxContextis set too small to fully load topology data. - Single node overload and failure to respond during multi-model access. Cause: Load balancing logic for the proxy is not configured. Only a single model node processes requests, which does not adapt to concurrent call demands from multiple data sources.
How to confirm configuration is complete
- Initiate a test call, input a CMDB configuration item list, and confirm the returned compliance review result includes compliance validation content for configuration items.
- Verify server environment variable configurations for
AIPROXY_API_ENDPOINT(AI Proxy service root address) and non-emptyAIPROXY_API_TOKEN(AI Proxy administrator token). Confirm the proxy can forward requests normally and obtain model responses. - Upload a CMDB change record document, and verify the model can correctly associate configuration items with change approval status and generate a complete compliance review report.
- Adjust the
maxContextparameter, and confirm the large model can fully load content from multiple CMDB documents without truncating critical information.
The values provided are common starting points and should be measured against local deployment 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.