What Data for This Category Looks Like
Small home appliance marketing content data primarily originates from brand official parameter libraries, e-commerce platform product detail pages, and official marketing material centers. Data updates fall into two categories: bulk synchronization when new products launch, and temporary updates during promotional activities or compliance policy changes. Individual marketing content documents use SKUs as core units. They include fields such as product name, core parameters, marketing copy, activity duration, compliance certification numbers, and other fields. Each field has a clear attached unit. For example, power uses watts as its unit, and voltage uses volts.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
Small home appliance marketing content uses SKUs as core update units, and includes multi-dimensional parameter, duration, and compliance fields. HTTP interfaces must support multi-condition filtered queries using parameters like sku_id and promotion_period. Since updates use both batch and real-time modes, interfaces must support both scheduled synchronization and real-time push invocation logic. Compliance fields cannot be desensitized. Interface responses must retain original field content. Pagination parameters must be set to avoid excessive data returned in a single request. Marketing content has strict timeliness requirements. Interface response latency must match business needs. Otherwise, front-end displayed activity information will not match actual conditions.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Small home appliance marketing content mostly includes short parameters and copy. This length preserves the integrity of individual content segments after splitting, and avoids breaking parameters during splitting |
stream_response_interval | 1000–2000 milliseconds | Balances front-end display smoothness and interface load. Adapts to the single-response length of small home appliance marketing content, and meets the need to control return speed |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Small home appliance marketing materials may include multi-specification parameter documents. Parsing takes a long time. This duration covers standard parsing processes |
max_retries | 3 times | External system calls may fail due to network fluctuations. This retry count improves call success rates without increasing load |
train_order_trigger_mode | Triggered by SKU updates | Small home appliance marketing content uses SKUs as core update units. Triggering training orders by SKU avoids repeated training, and matches business update logic |
response_log_detail_switch | Enabled | Can fully record details of conversation API responses. Troubleshoots issues where logs do not match actual answers |
The parameter values provided on this page are common recommendations used as 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 your own samples before finalizing values.
Three Common Mistakes
- Symptom: After calling the conversation API of version 4.8.10 or higher, the content in the conversation log details does not match the actual returned answer content, and log content repeats after multiple calls. Cause: The
response_log_detail_switchconfiguration is not enabled, or fixed context caching is configured, causing logs to not update in real time. - Symptom: Streaming output return interval is fixed at 4 seconds, and cannot be adjusted to 1-2 seconds. Cause: The
stream_response_intervalconfiguration item was not modified, or the configured value did not take effect. - Symptom: After executing the
create_train_orderinterface, no knowledge base index is automatically generated. Cause: The functional boundaries betweencreate_train_orderand collection data addition are confused. The associated knowledge base collection was not specified in the training order.
How to Confirm Configuration is Successful
- Call the conversation API to return streaming results, observe the interval at which the front end receives data, and confirm it matches the expected return speed.
- View conversation log details, confirm that log content matches actual returned answer content, with no duplicates or missing entries.
- Simulate an external interface call, observe whether a normal status code other than
do_request_failedis returned, and confirm interface connectivity. - Trigger a training order for SKU updates, check whether the knowledge base automatically generates marketing content indexes for the corresponding small home appliances, and confirm the configuration takes effect.
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.