What the Data for This Category Looks Like
The data for solid waste treatment intelligent due diligence reports primarily comes from sanitation waste collection ledgers, hazardous waste disposal qualification filing documents, environmental impact assessment approval archives, and on-site inspection records. Data update cycles are adjusted based on project timelines. Routine projects are updated quarterly. Large hazardous waste disposal projects update their filing data monthly.
A single due diligence document typically includes modules such as project main body information, disposal volume details, compliance verification records, and third-party test report attachments. Fields include collection tonnage, disposal method codes, qualification validity periods, test indicator values, and more. Units involved include tons, cubic meters, years, certificate numbers, and others.
Constraints for Multi-turn Dialogue and Prompt Engineering
Solid waste treatment due diligence data includes multi-dimensional detailed fields and compliance verification items. Single-round input contains a large amount of professional information. Limit per-round context length to avoid model overload. Fields involve professional units and codes such as tons and qualification validity periods. Prompts must clearly define field verification rules to prevent model confusion between units and classifications.
Data updates occur at a high frequency. Multi-turn dialogue must support dynamic calls to the latest filing information. It is necessary to distinguish exclusive fields for different disposal types such as general solid waste and hazardous waste. This prevents cross-category verification errors. Multi-stage compliance record verification requires step-by-step question breakdown. This avoids outputting too many verification items at once, which could cause the model to miss key information.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Solid waste due diligence data contains multiple segments of details and compliance records. This range accommodates sufficient context without exceeding the window limits of common large models |
recall count | Top 6–8 entries | Solid waste disposal has many compliance verification items. Too many recalled entries will cause redundant context, while too few will miss key filing information |
similarity threshold | 0.75–0.85 | Solid waste disposal has dense professional terminology. This range filters low-match irrelevant documents while retaining compliance records for specific scenarios |
maxResponseTokens | 2000–3000 characters | Compliance verification results for a single due diligence report must be fully output. This prevents response truncation that causes information loss |
global.workerPoll.countGptMes | Enabled | Real-time tracking of token consumption during multi-turn dialogue is required to troubleshoot abnormal response length issues |
segment length | 1000–1500 characters | Long texts in solid waste due diligence documents require segmented parsing to avoid model parsing failures caused by overly long single segments |
The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: An error prompt appears in the debug preview interface after enabling
input guidanceand configuring a custom thesaurus address. Cause: The custom thesaurus file format does not match the professional fields of solid waste disposal, leading to verification failure during loading. - Symptom:
maxResponseTokensis set to a value above 3000 characters, but the response length for a specific compliance verification query automatically drops to 200 characters. Cause: The cumulative token count of the context in a multi-turn dialogue exceeds the model's window limit. The system automatically truncates the response to comply with global limits. - Symptom: When adding new due diligence data during a dialogue, the knowledge base fails to synchronize the update. Cause: The knowledge base write switch for dialogue content is not enabled, or the associated path for the target knowledge base is not specified.
How to Verify Successful Configuration
- Enter the debug preview interface, input a solid waste disposal compliance verification query, and verify that the response length falls within the preset range.
- Review the log output of
global.workerPoll.countGptMesto confirm that token consumption during multi-turn dialogue is properly tracked. - Trigger custom thesaurus loading, and check that the professional terms and field rules for solid waste disposal are loaded in the debug interface.
- Submit a new piece of due diligence data. After confirming the knowledge base synchronization switch is enabled, verify that subsequent queries can access the newly added data.
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.