What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on the "model access and configuration" link
Coal chemical industry documents contain a large number of industrial professional terms and fixed-format parameter fields. This requires selecting models adapted to the industrial field when accessing models, to avoid misparsing of professional terms by general-purpose models. The phased update feature of documents requires the knowledge base synchronization cycle to match the project progress, to avoid using outdated data. The long document and multi-field structure requires reserving sufficient space for model context and reference fragment configuration, to ensure complete reading of process parameters and approval information. The rigor of safety-related documents requires limiting the model's random generation tendency, to avoid non-compliant content.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT | Fill in the proxy address bound to the coal chemical project team | Ensure exclusive call chains to avoid cross-project permission conflicts |
AIPROXY_API_TOKEN | Fill in the exclusive token assigned by the team | Restrict model call permissions to authorized personnel only |
temperature | 0.2–0.4 | Coal chemical documents require strict matching of process parameters and specifications; lower temperature reduces random generation deviations |
maxContext | 8000–12000 token | Adapt to the context reading requirements of long texts such as feasibility study reports and safety reports |
quoteMaxToken | 2000–3000 characters | Ensure that complete fragments of retrieved equipment parameters, approval documents, etc. are passed to the model |
maxTokens | 1500–2000 token | Meet the standard output length requirements for a single coal chemical industry document |
Three common mistakes
- After adding
AIPROXY_API_TOKEN, the call returns 404 page not found. The cause is incorrect proxy address configuration, which does not match the exclusive endpoint bound to the token. - Relevant process parameter documents are indexed, but the model does not reference the content. The cause is that the
quoteMaxTokenvalue is too small, causing the retrieved document fragments to be truncated and unrecognizable by the model. - Team members cannot view model usage records. The cause is that the team permission audit configuration is not enabled, or the corresponding viewing role is not assigned.
How to confirm the configuration is complete
- Call the FastGPT test interface, pass in a prompt containing coal chemical process parameters, and check whether the returned result contains matching document fragments.
- View the proxy call logs, confirm that the requests for
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENreturn a 200 status code, with no 404 errors. - Adjust the
temperatureparameter, compare document rigor under different values, and confirm that the output complies with the specification requirements of coal chemical documents. - Check the coal chemical documents in the knowledge base index, confirm that the retrieval results are consistent with the referenced content in the model output.
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 2026-09-28.