What the data for this category looks like
Core data for content recommendation operations typically comes from content tag libraries, user behavior logs, online experiment platforms, and recommendation backends. Daily produced documents include standardized recommendation strategy records, content pool lists, experiment reports, and operation review documents. Most document fields include content ID, tag weight, exposure and click data, experiment group identifiers, and more. Update frequency is mostly daily or weekly. Unlike special event operations, work in this category focuses on regular distribution strategies and content pool maintenance, and does not involve temporary content arrangement tasks.
What constraints these characteristics impose on HTTP interfaces and external systems
Since data sources include multiple decentralized systems, HTTP interfaces must support cross-system data pulling and format conversion, and uniform authentication rules must be configured. The regular daily or weekly update rhythm requires interface pulling frequency to match the business update cycle, to avoid excessive calls or delayed access to the latest data. Most document fields include content ID, experiment group identifiers, and more. Interface parameters must cover the transmission requirements of these fields, while reserving expansion space to adapt to newly added operation strategy fields. The high time-consuming requirement for exception troubleshooting requires the interface to return a clear data structure, to facilitate quick location of traffic or indicator exceptions.
How to configure the settings
The following configurations are based on the interface setting logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer ${business-specific API key} | When connecting to external recommendation backends or experiment platforms, this parameter completes identity verification, to avoid data leaks or interface call failures caused by unauthorized access. |
| Maximum number of contents per single request | Top 20 entries | Content pool lists usually contain thousands of entries. Too many entries per single request increases interface load. Set the value based on the number of core contents filtered in daily business operations. |
variables | {"content_pool_ids": ["pool_001", "pool_002"], "stat_period": "2024-05-01~2024-05-07"} | Transmit business-specific parameters such as content pool scope and statistical cycle, to adapt to interface call requirements for different operation scenarios, and avoid insufficient flexibility caused by hard-coded parameters. |
| Interface timeout threshold | 30-60 seconds | When pulling user behavior logs or experiment data, data volume fluctuates. A timeout setting that is too short causes request interruptions, while a setting that is too long blocks subsequent operation tasks. |
responseData | Only return the fields contentid, labelscore, exposure_count | Reduce invalid data transmission, lower interface parsing time, and match the core data requirements for operation exception troubleshooting and indicator interpretation. |
Three common configuration mistakes
- Phenomenon: A call to the user behavior log interface returns a 401 unauthorized error, and business data cannot be pulled. Cause: The
Authorizationparameter is not configured correctly, an expired or invalid API key is used, and identity verification for the external system is not completed. - Phenomenon: When pulling content pool data in batches, the number of returned interface entries is less than expected, resulting in incomplete content pool filtering. Cause: The number of contents per single request is not adjusted based on the interface bearing capacity of the external system, and the configured request upper limit exceeds the system limit.
- Phenomenon: The experiment data returned by the interface lacks the group identifier field, making it impossible to complete effect comparison analysis for different strategies. Cause: The experiment group field to be returned is not declared in the
variablesparameter, resulting in the external system not transmitting the corresponding business data.
How to confirm the configuration is complete
- Call the test interface, check whether the
Authorizationparameter can pass the identity verification of the external system normally, and confirm that a 200 status code is returned. - After configuring the interface request parameters, verify whether the returned
responseDataincludes the core fields required for operations, and confirm that the field integrity meets business requirements. - Simulate a daily update scenario, call the interface multiple times, check whether the interface call frequency matches the business update rhythm, and no excessive calls occur.
- Trigger a simulated exception scenario, such as temporarily disconnecting the external system connection, check whether the interface can normally trigger a failure retry or alert mechanism, and confirm that the exception handling logic takes effect.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.