Function Calling for AI APIs in DeepInfra — How to Extend Your AI with Real-World Logic - Deep Infra
Blog post from Deepinfra
DeepInfra introduces function calling as an enhancement to large language models (LLMs), allowing them to interact with external systems and execute real-world logic, thereby extending beyond static text responses. This capability enables the models to decide when to call functions defined by developers, such as fetching real-time data or triggering actions, thus integrating natural language processing with dynamic and actionable responses. DeepInfra provides support for function calling through its inference APIs, using an OpenAI-compatible interface that requires developers to define functions with clear descriptions and structured JSON schemas for parameters. This new feature supports the creation of AI applications that can perform tasks like real-time data retrieval, system integration, and executing custom business logic, offering a transformative approach to building intelligent, interactive software solutions.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 3 | 5,138 | 781 | 181 | +34% |
| Real-time | 2 | 5,046 | 1,089 | 214 | +11% |
| AI Agents | 1 | 3,583 | 743 | 199 | -1% |
| Vector Search | 1 | 2,212 | 422 | 133 | +33% |
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