What the data for this category looks like
Coal chemical industry party building learning Q&A data comes primarily from central state-owned enterprise internal party building management systems, official documents issued by party committees, and monthly branch study ledgers. Data updates occur once per month, synchronized with the latest party building policies and superior deployments. Most single documents follow a chapter-based structure, including theme titles, main text, issuing unit, and date fields. Document lengths vary widely; some policy interpretation documents can reach tens of thousands of characters.
Constraints for multi-turn dialogue and prompt engineering
The long-document nature of coal chemical party building data requires limiting effective input length for multi-turn dialogue context management, to avoid model processing overload. Monthly updated data sources require prompts to regularly embed the latest party building policy keywords, to ensure responses align with current deployments. Document issuing unit and date fields require associating corresponding information in multi-turn dialogue, to maintain response authority and timeliness. The segmented structure of branch study ledgers requires prompts to include restrictions for frontline coal chemical party building scenarios, to prevent content that deviates from industry realities.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages | Retain the first 10 rounds of dialogue context | Adapt to the input scale of long coal chemical party building documents and avoid context overflow |
| Maximum Context | 8000–12000 token | Adapt to the context processing limit of FastGPT v4.17.0, matching the length span of coal chemical party building documents |
variables | Bind exclusive tags for coal chemical party building | Limit the Q&A scope to party building content in the coal chemical industry and avoid generic responses |
| Question Optimization | Enabled | Organize vague expressions in users' multi-turn follow-up questions to accurately match segmented content of party building documents |
| Single Search Limit | Top 6 recall results | The number of coal chemical party building documents is moderate; too many results will distract the model |
chatId | Bind exclusive session identifiers for branches | Distinguish multi-turn dialogue contexts of different branches and avoid information confusion |
Three common configuration mistakes
- Phenomenon: After initiating a party building question, the response does not reference internal coal chemical party building documents and generates generic content. Cause: The
variablesare not bound with exclusive coal chemical party building tags, and the prompt does not limit the scenario scope. - Phenomenon: After switching AI models in the chat dialog box, historical dialogue context cannot be continued. Cause: The exclusive session identifier is not bound via
chatId, and each model switch resets the session context. - Phenomenon: An "unauthorized" error is returned when calling the knowledge base dialogue API, even if a valid API key has been passed. Cause: The exclusive access rules for the coal chemical party building knowledge base are not configured in
variables, and the system does not recognize legitimate call permissions.
How to verify successful configuration
- Initiate a question related to coal chemical party building topics, and check whether the response matches the content of internal party building documents.
- Initiate two or more consecutive follow-up questions, and check whether the context is correctly associated and the response logic is coherent.
- After switching the AI model, initiate a new question, and check whether the historical dialogue context loads normally.
- Call the configured API interface, pass a valid key, and check whether expected Q&A results are returned and no authorization-related errors occur.
The values provided here are common starting points and should be evaluated against the user'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.