What the Data for This Category Looks Like
Marketing-related data for commercial properties mainly comes from internal merchant management systems, passenger flow statistics systems, merchant activity reporting systems, and local life platform merchant profiles. Update rhythms vary significantly: merchant move-in, move-out, and business format adjustments are updated irregularly. Monthly rent standards are updated quarterly. Real-time passenger flow data is updated at the minute level. Merchant activity information is updated temporarily.
The document structure of a single merchant data entry includes fields such as merchant name, business format, leased area, move-in date, rent per unit area, monthly average passenger flow, and recent activity records. Units include square meters, yuan/square meter/month, passenger trips, and others.
What Constraints Do These Characteristics Impose on the Tool Calling and Plugins Link
Dispersed data sources and significantly different update rhythms require tool calling to support connection to multiple heterogeneous systems such as internal merchant management and passenger flow statistics. It also requires configuring differentiated call frequencies based on data types.
Inconsistent field units and naming require parameter mapping for tool calling to be customized for each data source. This avoids data anomalies caused by inconsistent calibers.
Marketing content generation needs to link dynamic data such as real-time passenger flow and temporary activities. This requires tool calling to support a combination of on-demand and scheduled triggering modes.
Single data entries contain many fields. Tool calling parameters must accurately match the field names of the target system. This avoids call failures caused by redundant or missing fields.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_timeout | 30–60 seconds | Adapts to the average response time of multi-data-source calls for commercial properties, avoids blocking the overall process with a single tool call |
external_api_rate_limit | 80–120 requests/minute | Matches the API rate limit thresholds of most commercial property internal systems, prevents triggering self-imposed rate limiting rules |
external_api_base_url | https://openrouter.ai/api/v1 | Adapts the call address for third-party large model interfaces, adjust based on the actual connected platform |
tool_param_mapping | Calibrated based on actual testing | Field naming varies widely across property systems, core fields such as merchant ID and passenger flow calibers must be matched one by one |
chatId_transmission_switch | Enabled | Ensures tool call requests carry conversation identifiers, facilitating association of the full marketing content generation process in logs |
plugin_output_to_context | Enabled | Injects merchant data returned by tools into the conversation context for use by subsequent conversation modules |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: A
400 Bad Requesterror is returned when calling the openrouter API. Cause: Theexternal_api_base_urlconfiguration is not set tohttps://openrouter.ai/api/v1, causing the request address to not meet the requirements of the third-party interface. - Phenomenon: A
429 Too Many Requestserror is returned when calling tools concurrently. Cause: Theexternal_api_rate_limitconfiguration is not adjusted based on the actual rate limit threshold of the commercial property system, causing requests to exceed system limits. - Phenomenon: The results of tool calls are not used by the next AI conversation module. Cause: The
plugin_output_to_contextparameter is not enabled, and merchant data returned by tools is not injected into the conversation context.
How to Confirm the Configuration Is Correct
- Initiate a test request containing a known merchant ID, check if the fields returned by the tool call include core information such as matching merchant name, leased area, and passenger flow data.
- View the tool call logs, confirm that each request carries the chatId parameter, and that the logs are associated with the context records of the corresponding conversation.
- Simulate 10 concurrent requests, check if a
429error is triggered, confirm that the rate limit configuration is effective. - Trigger a tool call, view the context panel of the next conversation module, confirm that the merchant data returned by the tool has been correctly loaded.
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.