What data for this category looks like
Marketing content data for financial industry beauty and personal care brand agencies comes primarily from brand guidelines, product specifications, and past marketing material libraries provided by brands, as well as interaction data and user comment content from social media advertising backends. Data update cycles are tied to marketing campaign cycles. New marketing materials and post-campaign review data are typically updated weekly. The structure of a single marketing content document includes: unique content identifier, delivery channel, release timestamp, marketing copy text, image resource links, and interaction statistics fields. Field types and units are as follows:
- Identifier: string
- Delivery channel: enumeration value
- Release time: ISO format timestamp
- Marketing copy: character sequence
- Image links: URL-formatted strings
- Interaction statistics: integer, unit of times
What constraints these characteristics impose on tool calling and plugins
Marketing content data is scattered across brand material libraries and social media advertising backends. Tool calling must connect to multi-source data plugins to pull data across databases. Weekly updated materials and review data require tool calling scheduled triggers to align with weekly campaign cycles. This prevents pulling outdated content. Single documents contain multiple field types. Tool calling parameters must explicitly specify target fields such as copy text and interaction statistics. This avoids redundant data interfering with processing logic. The enumeration-type delivery channel field requires tool calling filter rules to support enumeration value matching. This ensures only marketing content data for the corresponding channel is called.
How to set configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
tool_call_timeout | 300 seconds | Marketing content data volume for financial industry beauty and personal care brand agencies is moderate. Single tool calls do not require long wait times |
max_tool_calls_per_round | 3–5 calls | Tool calls for this category mostly fall into two types: material pulling and data filtering. Excessive calls will extend response time |
plugin_auth_type | API_KEY authentication | Brand material libraries and social media backends mostly use API_KEY authentication for access |
context_window_size | 8000–12000 characters | Total length of a single marketing content copy plus interaction data typically falls within this range |
schedule_trigger_cron | 0 2 * * 1 | Aligns with the weekly marketing material update cycle for brand agencies |
plugin_request_retry_count | 2 retries | Social media interfaces occasionally experience temporary fluctuations. A small number of retries can improve call success rates |
The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test against your own samples before finalizing settings.
Three common configuration mistakes
- The symptom is that when calling a locally deployed 70B parameter large model, tool calling cannot be triggered. The interface displays "Tool calling not enabled". The cause is that tool calling permission is not enabled in the model configuration, and the model's BASE_URI is not correctly configured to point to the local service address.
- The symptom is that tool calling cannot reuse material data from historical sessions. Each call requires re-pulling data. The cause is that session context saving configuration is not enabled, or historical session context data is not specified in tool calling parameters.
- The symptom is that the interaction data field returned by tool calling is empty. The cause is that correct field extraction rules are not specified in tool calling parameters, resulting in failure to match target fields.
How to confirm configuration is complete
- Check that the FastGPT version is 4.8.20 or higher. Navigate to the model configuration page. Confirm that the tool calling switch is enabled, and that BASE_URI matches the local deployment address.
- Initiate a test tool call. Check whether the returned results include preset marketing content fields such as copy text and interaction data.
- Check the scheduled task trigger logs. Confirm that tool calls execute according to the set weekly cycle.
- Simulate multi-source data access. Verify whether tool calls can simultaneously pull data from brand material libraries and social media backends.
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.