What this category of data looks like
Party building learning data for refinery and chemical production scenarios originates from internal enterprise party building management systems and official documents issued by superior party committees. Updates are synchronized weekly for the latest learning deployments, and branch study ledgers are archived monthly. Most documents are structured question banks and study manuals. Fields include learning topic, applicable production post, issuing unit, and issuing date. Data storage is measured in megabytes. Individual document lengths are designed to support context association for multi-turn dialogue.
Constraints for Multi-turn Dialogue and Prompt Engineering
Party building data for refinery and chemical production primarily uses post-adapted question banks, and must align with production post scenarios. Multi-turn dialogue must retain context details such as the user’s workshop and post to avoid cross-post Q&A deviations. Data updates occur at a relatively high frequency, so the knowledge base must be synchronized on a regular basis. Prompt engineering must include limiting conditions for the current learning cycle. Documents contain clear topic classification fields. Multi-turn dialogue must narrow retrieval scope using topic keywords from historical dialogue to improve Q&A accuracy. Party building Q&A in refinery scenarios must also link to production safety requirements. Prompt engineering must embed pre-defined rules tied to post safety, to ensure responses align with production realities.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages | Retain the most recent 8 rounds of dialogue content | Aligns with the context association needs of refinery and chemical party building Q&A, avoids losing key information such as post and topic |
variables | Include post type, affiliated workshop, current learning cycle | Adapts to party building learning content exclusive to refinery and chemical production posts, filters non-adapted Q&A data |
chatId | Generate unique identifiers bound to employee ID numbers | Ensures dialogue records are bound to employee identity and post, facilitates subsequent traceability and management |
| Maximum context length | 7000–11000 characters | Covers the content length requirements of individual refinery and chemical party building study materials and multi-turn dialogue |
| Question optimization | Enabled, add production post keyword filtering | Improves Q&A accuracy for party building content in refinery scenarios, filters irrelevant content |
| Knowledge base refresh cycle | Once per week | Matches the update frequency of refinery and chemical party building study materials, ensures Q&A content synchronizes with the latest deployments in real time |
Three Common Configuration Errors
- Dialogue history disappears after refreshing the conversation window, but complete content is visible in the backend dialogue record list. The cause is that
chatIdis not bound to a stable unique user identifier, leading to failure of session association on the window side. - After uploading PDF or Word documents related to party building learning, no analysis results are generated and no error prompts appear. The cause is that the attachment recognition threshold is set too high, filtering party building documents with tables that are common in refinery scenarios.
- After configuring link variables in the configuration file, the associated party building learning materials cannot be correctly called during dialogue. The cause is that
variablesdoes not include the permission identifier or path parameter of the file link, leading to variable parsing failure.
How to Verify Proper Configuration
- Input a party building question that includes affiliated workshop and learning topic. Confirm the response matches study content for the corresponding refinery post.
- Refresh the conversation window. Verify that historical dialogue records display completely.
- Upload a PDF document of party building study materials for a refinery workshop. Confirm the system completes recognition and generates relevant Q&A.
- Configure
variablesparameters. Initiate a question tied to post information. Confirm the response correctly incorporates the variable parameters.
The values listed here are common starting points for configuration. They should be evaluated against the specific samples of the respective deployment.
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.