What the Data for This Category Looks Like
Public data for gas yield rates and market trends is sourced primarily from daily disclosure documents published by regional public utility regulatory platforms and regional energy trading centers. Data updates run every early morning, with full statistical data for the prior calendar day released. No real-time push interface is available. Data is structured as a table, with fields including transaction date, gas category name, supply region, wholesale settlement unit price, terminal retail unit price, and actual daily supply volume. Unit prices use yuan per cubic meter as the measurement unit, and supply volumes use ten thousand cubic meters. All fields use standardized non-null text and numeric data types.
Constraints on Multi-turn Dialogue and Prompting
Because gas data is split by region and category, multi-turn dialogue systems must consistently associate region and category parameters specified by the querying party. Otherwise, cross-region or cross-category result confusion may occur. The T+1 data update property requires that multi-turn dialogue systems clearly prompt the querying party to confirm the historical date range for their query, to avoid calling interfaces where data for the current day has not yet been generated. The structured field design requires prompts to clearly distinguish between different metrics such as unit price and supply volume, to prevent metric confusion during multi-turn dialogue. Additionally, the dataset scale across multiple regions and categories requires context retention length to be adapted to the specific query scenario, to avoid model understanding errors caused by overly long contexts.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | Previous 10 rounds of context | Gas data is split by region and category. The first 10 rounds of context can cover most multi-turn follow-up query conditions, avoiding model confusion caused by overly long contexts |
MAX_INPUT_LENGTH | 8000 characters | The structured data fields for daily gas reports are numerous. Query instructions submitted (including context) typically fall within 5000 characters. 8000 characters covers most scenarios and prevents input over-limit errors |
WORKFLOW_LOG_ENABLE | Enabled | Association between conversations and user identifiers is required to facilitate troubleshooting of parameter errors in multi-turn dialogue and meet conversation traceability requirements |
UPLOAD_FILE_MAX_SIZE | 100 MB | Supports uploading of monthly supply report files from regional gas companies. 100 MB covers the size limits of most enterprise-level reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large structured report files requires significant time. 600 seconds prevents parsing failures caused by timeouts |
AI_MODEL_UPLOAD_SUPPORT | Image parsing enabled | Supports uploading photos of price notices from gas stations to extract text data, adapting to query requirements for unstructured data sources |
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 individual analysis. It is recommended to test on local test samples before finalizing settings.
Four Common Configuration Mistakes
- A conversation node returns the
413 Request Entity Too Largeerror code without triggering input over-limit interception. Cause: TheMAX_INPUT_LENGTHparameter is not configured, or its value is smaller than the total length of the submitted input context. This causes the system to directly return an over-limit error without returning an interception prompt. - Conversation logs cannot be associated with specific user identifiers, making it impossible to trace conversation ownership. Cause: The
WORKFLOW_LOG_ENABLEparameter is not enabled, or the user ID transfer field is not configured. This causes logs to only record conversation content without binding user information. - It is impossible to delete specified conversation records as requested, and accurate cleaning of target conversations via the interface or UI is not possible. Cause: The
CHAT_HISTORY_DELETE_CONDITIONparameter is not configured, or the filtering rules are not bound to user IDs and conversation creation times, making it impossible to accurately match target conversations. - Uploaded gas price photos cannot extract text data, resulting in empty parsing results. Cause: The image parsing switch for
AI_MODEL_UPLOAD_SUPPORTis not enabled, or the uploaded file size exceeds theUPLOAD_FILE_MAX_SIZElimit, causing the file to be rejected for parsing.
How to Verify Configuration Correctness
- Initiate a multi-turn dialogue covering different regional gas categories, check whether replies accurately associate previously specified region and category parameters, to confirm that the context configuration meets expectations.
- Submit query text that exceeds conventional length, check whether the input length limit interception logic is triggered, to confirm that the
MAX_INPUT_LENGTHconfiguration is active. - Upload gas-related image files, check whether structured data within them can be successfully parsed, to confirm that the image upload configuration is active.
- View conversation logs, check whether traceable user identifiers are included, to confirm that the log configuration is active.
- Attempt to perform a conversation record deletion operation, check whether target conversations can be accurately cleaned, to confirm that the deletion configuration is active.
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.