What This Category of Data Looks Like
Data for administrative inquiries and responses for iron and steel smelting comes primarily from internal enterprise smelting process specifications, equipment maintenance work orders, government service guidelines, and historical inquiry records. The data update schedule is as follows: process specifications are synchronized quarterly, service guidelines are updated monthly, and historical inquiry records are archived in real time. Most documents combine structured tables and paragraphs, containing fields such as process number, process temperature, processing time limit, required material list, and others. Commonly used units include degrees Celsius, hours, workdays, and other standard industry units.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting
The presence of structured tables and fields with units requires multi-turn dialogue to retain context field information, avoiding repeated queries for parameters with units such as process temperature and processing time limit. Dispersed multi-source data requires integration, which means the dialogue context window must adapt to long text paragraphs and table content. The multi-step nature of work processes requires multi-turn dialogue to guide step by step according to the established process, without skipping key links. The volume of historical inquiry records requires the prompt to call similar past responses, ensuring that responses comply with internal enterprise specifications.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind the current session identifier | Ensure unique context attribution for multi-turn dialogue |
messages | Store the message sequence in session order | Fully retain context information for multi-turn dialogue |
variables | Store temporary process parameters and work progress | Adapt to FastGPT v4.17.0's variable management logic and meet the temporary variable requirements of iron and steel smelting inquiries |
| Chunk Length | 800–1200 characters | Adapt to the paragraph length of iron and steel smelting process specifications and service guidelines |
| Maximum Context Window | 4000–6000 tokens | Retain complete work processes and professional parameters when integrating multi-source documents |
| Context Retention Duration | 3600 seconds | Adapt to the session cycle of most work inquiries |
Three Common Misconfigurations
- Phenomenon: An error
fail to create post presigned urlis displayed when uploading attachments in dialogue, or RAG file upload fails, while the template import function can normally upload files. Cause: In FastGPT v4.14.3 and above versions, the cross-domain rules of the S3 storage configuration do not adapt to the file upload route, or the interface path is bound incorrectly, resulting in failure to generate a pre-signed link. - Phenomenon: Units of process parameters are confused in multi-turn dialogue, for example, temperature is mistakenly recorded in Fahrenheit. Cause: The prompt fails to clearly require retaining field units, or the context window does not fully retain unit information.
- Phenomenon: Retrieved historical inquiry records do not match the current question, and the number of results exceeds expectations. Cause: The single retrieval upper limit configuration is unreasonable, or the chunk length does not adapt to the document structure, resulting in reduced retrieval accuracy.
How to Verify Successful Configuration
- An inquiry containing process parameters is initiated, and the dialogue context is checked to confirm full retention of field information.
- A typical iron and steel smelting service guideline document is uploaded, and the chunked content is checked for completeness without truncation.
- Multi-turn inquiries are initiated, different links of the work process are queried step by step, and the dialogue is verified to retain all context information.
- The file upload function is tested, and upload errors are checked for consistency with the configured storage rules.
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.