What Data for This Category Looks Like
Party building learning data for coal mine production mainly comes from internal enterprise party building archives, pre-shift meeting learning records, monthly safety and party building ledgers, and special study notices issued by superior party organizations. Data update rhythms cover daily and scheduled updates: pre-shift meeting records are updated daily, monthly ledgers are updated monthly, and special notices are released as needed. Document types include PDF learning courseware, TXT learning notes, and structured table-style check-in and assessment records. Fields include learning topic, learning time, number of participants, learning content summary, and assessment results. Units include "person", "hour", and "occurrence".
What Constraints These Characteristics Impose on Model Access and Configuration
Mixed multi-format data requires model access configuration to adapt to parsing rules for PDF, TXT, and structured tables, to prevent field extraction errors. Exclusive party building terms such as "dual-base construction" and "pre-shift meeting clean government reminder" related to coal mine safety and party building require the model context to retain sufficient association scope, to ensure Q&A content conforms to official expressions. Frequently updated pre-shift meeting records require configuring an on-demand triggered index refresh mechanism to maintain data timeliness. Long-text quarterly party building summaries require adjusting parameter settings for context window and output length, to avoid content truncation.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
maxContext | 8000–12000 token | Adapts to long-text party building learning materials for coal mines, retains sufficient context association scope, and meets the association requirements for exclusive terms |
maxTokens | 4000–6000 token | Meets the output length requirements for long document summarization and Q&A generation, avoids truncation of exclusive party building content |
quoteMaxToken | 2000–3000 token | Limits the length of referenced party building document fragments, ensuring the model can accurately match Q&A scenarios related to coal mine party building |
temperature | 0.2–0.4 | Reduces the randomness of responses, ensures that party building Q&A content conforms to official standard expressions, and avoids deviation from exclusive terms |
AIPROXY_API_ENDPOINT | Locally deployed MinerU parsing service address (such as http://127.0.0.1:8000) | Adapts to locally deployed document parsing requirements, matching the multi-format parsing requirements for coal mine party building data |
AIPROXY_API_TOKEN | Custom service access key | Ensures access security for internal party building data, complying with enterprise internal data permission management specifications |
Three Common Misconfigurations
- Symptom: The model icon in the workflow fails to display normally, and a network error prompt appears when uploading party building-related documents. Cause:
AIPROXY_API_ENDPOINTis not correctly configured to point to the local MinerU service, or the MinerU service port is not open to the FastGPT deployment environment. - Symptom: Unable to create an index model channel for party building documents. Cause:
AIPROXY_API_TOKENis not configured in the FastGPT system settings, resulting in parsing service authentication failure and inability to complete index creation. - Symptom: Generated party building Q&A content deviates from coal mine exclusive terms, or long document summarization is truncated. Cause: The value of
maxContextis too low, failing to retain sufficient context association scope, or themaxTokenssetting is insufficient, resulting in output truncation.
How to Confirm Successful Configuration
- Upload a PDF document related to coal mine party building, such as pre-shift meeting learning records, and check whether fields such as participants and learning topics can be correctly extracted after parsing.
- Add a model node in the FastGPT v4.17.0 workflow, confirm that the model icon displays normally, and that parsed document content can be normally called for Q&A.
- Submit a test question related to party building, such as "What is the process of theme party day for coal mine teams", and check whether the response contains correct exclusive terms and no content truncation.
- Check the configuration of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKEN, confirm that the parsing service call is successful through system logs, and there are no authentication errors.
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.