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" workflow
Coal chemical industry policy and regulatory documents are mostly long-form texts with fixed effective dates and application scopes. Models must retain full clause integrity when called, to avoid truncating critical approval or compliance requirements. Different policy documents have significant format differences, including plain text and embedded tables, so multi-format parsing logic must be supported. Policy updates follow no fixed cycle, so knowledge base synchronization must align with official release rhythms, and model configuration must support incremental updates. Policy clauses involve professional measurement values, so accurate numerical extraction and context association must be ensured to avoid compliance judgment deviations.
How to configure the settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Coal chemical industry policy documents are mostly long texts, requiring retention of complete policy clause context to avoid truncating critical approval or compliance requirements |
maxTokens | 2000–3000 token | Policy Q&A requires output of complete clause explanations and supporting basis, so the single reply token volume must cover full parsing results |
quoteMaxToken | 4000 token | Need to associate and match policy original text fragments, limiting the total token count of referenced fragments to avoid context overflow |
temperature | 0.1–0.3 | Policy Q&A must maintain rigor and accuracy, reducing randomness to ensure consistency in clause reference and interpretation |
AIPROXY_API_ENDPOINT | Fill in the local API address according to the deployment environment | Adapt to the calling requirements of locally deployed Qwen, DeepSeek models, ensuring no data leakage |
AIPROXY_API_TOKEN | Fill in the model-specific access key | Verify model calling permissions, ensuring legitimate access to deployed large model services |
Three common configuration mistakes
- Phenomenon: After locally deploying the Qwen14B 32K model, uploading policy files causes parsing timeout and a request failure prompt. Cause: The
maxContextparameter was not adjusted to adapt to long-text policy files, exceeding the model's context window and causing call interruption. - Phenomenon: Model calling token consumption exceeds expectations, leading to abnormal billing or resource usage. Cause: The
quoteMaxTokenparameter was not configured to limit the total token count of referenced fragments, causing redundant policy original text to be loaded repeatedly. - Phenomenon: After uploading a policy PDF with embedded images, policy clauses in the images cannot be extracted. Cause: The
visionparameter was not correctly configured, and embedded images in coal chemical industry policy documents are mostly scanned or non-standard formats, making it impossible for existing parsing models to accurately recognize text content.
How to confirm the configuration is correct
- Upload a single coal chemical policy PDF with more than 10 pages, check whether the parsing completion status is normal, and confirm there are no timeout or error prompts.
- Initiate a policy clause query, verify whether the reference fragments returned by the model match the uploaded policy original text, and confirm that context association is accurate.
- Switch the deployed model type, verify whether API calls can be completed normally, and confirm that the parameter configuration matches the model requirements.
- Check the system logs to confirm that the token consumption range conforms to the settings of the configured
maxTokensandquoteMaxTokenparameters.
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 2026-09-28.