What the data for this category looks like
Solid waste treatment yield rate data comes from three main sources: project operation ledgers, environmental protection supervision report data, and transaction market data for resource recovery products such as recycled building materials and biogas.
Update frequency rules:
- Daily project operation data is updated daily
- Resource recovery product market data is updated in real time or hourly
- Supervision-related data is updated on a weekly aggregated basis
The data document structure includes these fields: unique project identifier, daily processing volume (unit: tons), unit processing energy cost (unit: yuan/ton), unit revenue from resource recovery products (unit: yuan/ton), daily operation and maintenance duration (unit: hours), and number of compliant items.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
The multi-source dispersion, inconsistent update rhythms, and specific field units of solid waste treatment data create constraints for multi-turn dialogue and prompt engineering.
First, data is scattered across three channels: operation ledgers, supervision reports, and market trends. Multi-turn dialogue requires switching data source recall logic based on context. Prioritize recalling project operation data associated with the current session, then supplement real-time market trends for corresponding resource recovery products.
Second, different data sources have different update timelines. Real-time market data needs high-frequency recall, while supervision data only requires weekly recall. Prompts must clearly label the recall frequency requirements for each data source.
In addition, fields have dedicated units. Prompts must explicitly require output to retain corresponding units to avoid data confusion.
Also, bind the current session's unique project identifier via session_id to ensure recalled yield rate data belongs to the correct project.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 15000 characters | Solid waste treatment yield rate data has many fields. Single-session context must accommodate multi-round question-and-answer history and recall results. 15000 characters covers 8-10 rounds of dialogue content. |
recall_top_k | Top 8 entries | Solid waste treatment yield rate data includes three categories: operation, market, and supervision. Recalling 2-3 entries per category covers core information and avoids redundant interference. |
similarity_threshold | 0.75–0.85 | Fields such as solid waste treatment project identifiers and processing volumes are unique. Setting the threshold above 0.75 accurately recalls corresponding project data and avoids false recalls. |
temperature | 0.1–0.3 | Yield rate reports require accurate values and units. A lower temperature reduces hallucinations and ensures output accuracy. |
session_context_expire | 7200 seconds | Solid waste treatment project daily yield rate reports follow a daily cycle. The 7200-second expiration time covers multi-turn dialogue needs within a single day. |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Issue: When configuring the
temperatureparameter, after calling solid waste treatment yield rate data via variable reference, the interface settings button disappears, and manual adjustment of the temperature value is not possible. Cause: The value range oftemperatureis not explicitly specified in the prompt template, causing the system to automatically hide the settings interface when using variable reference mode. - Issue: When
session_idis not bound during multi-turn dialogue, recalled solid waste project data is mixed across projects. Cause: The prompt does not require bindingsession_idto associate the current project identifier, causing the system to fail to locate the yield rate data of the corresponding project. - Issue: In FastGPT V4.9.3, after calling the workflow to generate a solid waste treatment yield rate daily report, the running data in the conversation log is empty. Cause: The recall range of
recall_top_kis not configured to include operation ledger data, causing the workflow to fail to obtain valid data sources.
How to verify the configuration is complete
- Initiate a single-round test dialogue, enter a query for yield rate data of a specified solid waste project, and verify that the recall result includes fields such as unique project identifier, processing volume, energy cost, and retains corresponding units.
- Initiate a multi-turn dialogue: first query the yield rate data of one solid waste project, then switch to query another project, and verify that the two recall results correspond to their respective projects without data mixing.
- View the conversation log, check whether the running data of the interface calling workflow includes valid data source content, and there are no null values.
- Adjust the value of
similarity_threshold, verify the matching degree of the recall results, and confirm that the threshold setting meets the matching requirements of the current scenario.
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.