What Data for This Category Looks Like
Power grid equipment-related data primarily comes from factory inspection reports, operation and maintenance logs, power grid dispatch logs, and bidding announcement documents. Static data such as equipment model, rated voltage, rated power, and similar details is fixed at the time of equipment shipment. Operation and maintenance data including inspection records and fault troubleshooting results is updated monthly. Bidding-related data is synchronized in real time.
Most documents exist as structured tables or PDF files with field annotations, containing fields such as equipment number, installation location, rated parameters, maintenance cycle, and more. Units include kilovolts, amperes, megawatts, units/sets, and others. Some documents also include image materials of equipment installation scenarios.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The static nature of power grid equipment data requires fixed anchor points for loaded basic equipment parameters during multi-turn dialogue, to avoid recommendation errors caused by context drift. The periodic update of operation and maintenance data requires the dialogue process to regularly trigger data synchronization verification, ensuring marketing content uses the latest status.
The high proportion of structured documents requires prompts to clearly specify extraction rules for structured fields, preventing parameter missing caused by fuzzy matching. The multi-category and multi-unit parameter characteristics require prompts to mandate that output results include standard units, avoiding parameter confusion that affects the accuracy of marketing recommendations. At the same time, the real-time nature of bidding data requires dialogue to support quick calls to the latest announcement information to adjust the adaptation direction of marketing content.
How to Configure Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 12000–16000 characters | Single power grid equipment documents contain many parameters, so complete historical dialogue and basic equipment data must be retained to avoid context truncation and loss of key information |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single power grid equipment operation and maintenance log or factory inspection report PDF files often reach 200-300 MB, so sufficient upload space must be reserved |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing large structured documents requires extended processing time to prevent mid-process timeout interruptions |
recall count | Top 8 entries | Power grid equipment includes multi-dimensional parameters, so sufficient structured data must be recalled to support parameter matching and recommendation for multi-turn dialogue |
similarity threshold | 0.75–0.85 | Parameters of the same model from different batches must be distinguished, to avoid low-matching irrelevant data from mixing into dialogue context |
maxTurns | 12 turns | Marketing content generation must focus on core needs; excessive dialogue turns will lead to redundant context and reduced dialogue efficiency |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After the front-end file upload component is enabled, uploaded file parameters cannot be carried when calling the dialogue interface, and the interface returns
400 Bad Request. Cause: The format of thefilesfield is not correctly configured in the dialogue interface request body, and the platform's required multipart form data or JSON field specification is not followed. - Phenomenon: The model dropdown list in the text content extraction module only displays GPT series models, and connected third-party models cannot be selected. Cause: The model whitelist for the text content extraction function has not been synchronized to the connected third-party model list, and manual configuration of model mapping rules is required.
- Phenomenon: Equipment parameters extracted during multi-turn dialogue lose their units, leading to parameter confusion in marketing content. Cause: The prompt does not mandate that output results include standard units, and no clear constraints are set for unit verification of parameter fields.
How to Confirm Configurations Are Correctly Set
- Upload a typical power grid equipment operation and maintenance log document, check the integrity of parsed fields, and verify the matching between parsed results and original document parameters.
- Initiate a multi-turn dialogue containing multi-dimensional equipment parameter queries, check whether the context completely retains historical interactions and loaded equipment data, and no key parameters are truncated.
- After configuring a multi-step processing flow, test calling the dialogue interface to confirm that only the final marketing content output is displayed, and intermediate step results are hidden.
- After connecting a third-party model, check the model selection list in the text content extraction module to confirm that the connected model can be selected normally.
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.