What the data for this category looks like
Tourist attraction marketing content data primarily comes from official ticketing systems, visitor center passenger flow statistics modules, official account and mini-program backends, and digital archives of offline guide materials. Structured data includes attraction ID, ticket type, per-customer price, real-time inventory, and opening hours. Units are: no unit for ID and type, yuan for price, tickets for inventory, hours for opening hours. Unstructured data includes activity announcements, guide copy, and historical post content. Data update rhythms vary significantly: real-time ticket inventory changes with orders, temporary activity announcements are updated per execution timelines, passenger flow statistics data is refreshed hourly, and guide copy is typically adjusted quarterly.
Constraints imposed by these characteristics on tool calling and plugins
Unlike marketing content scenarios in the financial industry, tourist attractions have more fragmented data update rhythms. Multi-source heterogeneous data requires tool calling to support both structured API pulling and unstructured content parsing. The timeliness of real-time ticket inventory and passenger flow data requires tool call timeout thresholds to adapt to high-frequency update scenarios, preventing marketing content delays caused by excessive waiting. Field differences across different data types require tool parameters to support flexible specification of pulled fields, avoiding redundant data occupying context space. Attraction marketing content often includes strongly associated information such as location and time slots. Tool calling needs to support parameter linkage—for example, automatically pulling ticket information for corresponding opening hours based on the current time slot. Additionally, attraction content often includes multiple language versions. Tool calling needs to support specifying return language fields to adapt to marketing requirements across different channels.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 30–60 seconds | Tourist attraction real-time data has high update frequency. An overly long timeout will cause marketing content delays, while an overly short timeout may fail to complete API pulling |
max_tool_calls_per_round | 3–5 times | Tourist attraction marketing content typically requires pulling three types of data: ticketing, passenger flow, and activities. Excessive calls will increase context burden |
rag_recall_top_k | Top 6–8 entries | Attraction knowledge base content includes multiple categories such as guides, activities, and ticketing. Too many recalled entries will occupy context space, while too few will fail to cover user query needs |
api_request_field_filter | Specify fields according to marketing scenarios | Attraction API returns many fields. Only pulling fields required for marketing such as ticket type, price, and inventory can reduce data transmission volume |
stream_response_parse_mode | Parse structured fields with detail=true | The detail field returned by attraction tool calls contains structured ticketing and passenger flow data, which must be parsed separately before being integrated into marketing content |
plugin_auth_type | API_KEY authentication | Internal attraction APIs typically use fixed key authentication, which adapts to the standard authentication process for FastGPT plugins |
The parameter values provided on this page are all common 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 errors
- Phenomenon: After calling the attraction ticketing API, the returned result is empty and cannot be used as knowledge base content. Cause: The
api_request_field_filteris not configured to filter invalid fields, causing empty returned fields to be discarded by the knowledge base parsing module. - Phenomenon: The detail field in streaming return results is not correctly extracted and cannot be integrated into marketing copy. Cause: The
stream_response_parse_modeis not set to the detail parsing mode, and structured return content is only processed as plain text. - Phenomenon: The tool call returns a 504 status code, indicating request timeout. Cause: The
tool_call_timeoutis set to less than 10 seconds, failing to complete the pulling request for real-time attraction passenger flow data.
How to confirm the configuration is correct
- Initiate a tool call test request, and check whether the returned result only includes attraction ticketing, activity, and passenger flow fields required for marketing, with no redundant data.
- Enable streaming return debug mode, and check whether the detail field is correctly extracted and displayed in the returned content.
- Simulate tool call requests during peak hours, and confirm that the
tool_call_timeoutsetting is reasonable and no timeout errors occur. - Check the plugin authentication configuration, initiate a request using the test key of the attraction API, and confirm that the returned status code is 200.
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.