What this category of data looks like
This type of research report is commonly used by financial institutions for film and television investment decisions. Data sources include public theater schedule announcements, special reports from film and television industry consulting institutions, and internal theater operation statistical reports. The update schedule follows three patterns:
- Theater schedule data is updated daily
- Film project schedule data is updated irregularly alongside promotion and distribution rhythms
- Industry research reports are released weekly or monthly
Document structures typically include modules such as core project information, theater schedule share, box office forecasts, and audience profiles. Core fields include:
- Daily Screening Sessions (unit: sessions)
- Average Audience per Show (unit: people)
- Box Office Forecast Range (unit: ten thousand yuan)
- Promotion and Distribution Progress (text type)
And other related fields.
What constraints these characteristics impose on tool calling and plugins
Daily updated schedule data requires tool calling caching strategies to match real-time needs. Overly long cache expiration will lead to delayed data, so this must be avoided. Irregularly updated project schedules and report content require plugins to support dynamic pulling of non-standardized promotion and distribution information. Plugins must also adapt to interface formats of multiple data source types. Dispersed data sources require plugins to integrate multi-interface authentication logic. Plugins must also handle field differences across data sources to avoid field mismatch issues during retrieval. Additionally, film research reports contain many professional terms and long text passages. This places specific requirements on the semantic representation capabilities of embedding models and the context length of tool calling.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolCallMaxRetries | 2 retries | Film theater data source interfaces may experience temporary fluctuations; 2 retries cover most temporary failures and avoid directly returning call failures |
embeddingModel | text-embedding-3-small | Film research reports contain a large number of professional terms and long text passages; the semantic representation capabilities of this model adapt to the retrieval needs of industry research reports |
maxContext | 8000–12000 characters | The effective content length of a single core film research report is mostly within 5000 characters; this range fully covers key information and avoids context overflow |
cacheExpireTime | 3600 seconds | Theater schedule data is updated daily; a 1-hour cache balances real-time performance and interface call costs |
ragRecallTopK | Top 8 entries | Core relevant information of film research reports is scattered across different paragraphs; recalling 8 entries covers most relevant content |
pluginRequestTimeout | 600 seconds | Film data source interfaces may experience delays when pulling batch schedule data; 600 seconds covers most normal call durations |
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 settings.
Three common mistakes
- Symptom: The plugin configuration entry cannot be found in the interface. The log shows "path not found". Cause: Operations were not performed in the FastGPT backend's plugin management module. Local file paths were mistakenly used as platform configuration paths.
- Symptom: Research report data returned by tool calls lacks the screening sessions field, or the field content is empty. Cause: The unique identifier of the film project was not configured in the plugin request parameters, causing the data source to fail to match the corresponding data.
- Symptom: Tool calls still return failure after multiple retries, and the log shows call timeout or status code 429. Cause: The plugin request timeout period was set too short, failing to cover the normal delay duration of batch data pulling from film data sources.
How to confirm the configuration is complete
- Enter the plugin management module of FastGPT, check if the configured film theater data source plugin displays normal authentication status.
- Initiate a tool call test, enter the name of a specified film project, and check if the returned results include corresponding fields such as schedule and box office forecast.
- View the tool call logs to confirm that the actual values of parameters such as retry times and timeout period match the configured settings.
- Wait for the preset cache duration before initiating the same test again, and check if the data has been updated to the latest theater schedule information.
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.