What the Data for This Category Looks Like
Data sources for paper manufacturing industry yield and daily market trend reports include public statistical datasets from domestic paper industry associations, paper product quotes from domestic commodity spot trading platforms, and pulp futures settlement data. Data aggregation and document generation are completed within 2 hours after market close on each workday. The document is a structured single-page table sorted by paper types such as corrugated paper, white board paper, and coated paper. Fields include: paper type identifier, daily average transaction price, raw material cost reference price, current total inventory, price change range, and industry operating level. Units: none, yuan/ton, yuan/ton, thousand tons, none, none.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Multiple data sources require specifying data priority during multi-turn dialogue to avoid conflicting information from mixed sources. The daily update rhythm requires limiting query scope to the most recent workday's market data in prompts to prevent calling outdated statistics. The structured table document structure requires multi-turn dialogue to support filtering commands by paper type. Prompts must specify the order of fields for structured extraction. The multi-field design requires prompts to specify that only user-specified fields are returned to avoid redundant output. Paper type classification requires multi-turn dialogue to support user-specified queries for specific paper types to avoid returning irrelevant category data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single paper manufacturing daily report document is approximately 5000 characters long. Multi-turn dialogue requires retaining 3 rounds of context, so this range covers complete dialogue and document content |
Recall count | Top 3 entries | Paper manufacturing daily reports typically have no more than 5 paper type categories. Too many retrieved entries will cause redundant context and reduce model response efficiency |
Similarity threshold | 0.75–0.85 | This range filters out non-target documents unrelated to paper manufacturing market trends, while retaining relevant data for different paper types in the same category |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Structured table parsing processes multiple columns and groups of data. A longer timeout prevents task failure due to excessive parsing time |
prompt_template | Template that includes fixed paper type filtering, data source priority settings, and specified return fields | Unifies output format for multi-turn dialogue, and prevents deviation from user query requirements for paper manufacturing market trends |
UPLOAD_FILE_MAX_SIZE | 20 MB | A single paper manufacturing daily report document is typically no larger than 1 MB. This value reserves sufficient space for batch upload scenarios |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Symptom: Chat page crashes when using FastGPT 4.8.20. Knowledge base page crashes when switching to other versions. Cause: Incorrect matching of
UPLOAD_FILE_MAX_SIZEwith actual upload document size, or too lowPARSE_FILE_TIMEOUT_SECONDSvalue causing parsing timeout and subsequent crash. - Symptom: Preset guiding prompts do not take effect when selecting a third-party deployed model. Cause: Incorrect configuration of guiding prompt binding logic in
prompt_template, causing the model to not load the specified system prompt content. - Symptom: Missing fields in paper market trend data returned by the chat application. Cause: Failure to specify required return fields in
prompt_template, causing the model to omit some user-requested information.
How to Verify Correct Configuration
- Upload a standard paper manufacturing daily report document, and check if the parsed fields match those specified in the preset prompts.
- Initiate multi-turn queries, specify different paper types in sequence, and confirm that the model returns only market trend data for the corresponding paper type.
- Check the context length of model responses to confirm it does not exceed the configured context window limit.
- Test the plugin connection process to confirm that the chat application can normally call the specified plugin and complete data interaction.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.