Genspark2api implements the networking search capability of the model through the unique -search suffix mechanism. This feature enables AI models to break through the limitation of training data and access the latest Internet information. For the technical implementation, developers only need to add the -search tag after the model name (e.g., gpt-4o-search), and the system will automatically enable the search engine docking function.
Technical highlights of the feature include:
- Seamless integration into existing API call flows
- Maintain original multi-round dialog capability
- Supports multimodal processing of search results
- Works with cookie pooling mechanisms
In practice, this function is particularly suitable for scenarios that require real-time data, such as news report analysis and market trend tracking. User studies have shown that the question answering accuracy can be improved by 40% after the search function is enabled.
This answer comes from the articleGenspark2api (failed)The
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