GPT models for text, analysis and intelligent features.
OpenAI provides powerful language and multimodal AI through its GPT models and a well-documented interface. The models understand text, images and audio in the same call and, through structured outputs, return clean JSON that we can process directly. Function calling lets them connect to your own tools and data sources rather than just chatting freely. That turns the AI into a dependable building block that gets real work done, not a nice gimmick.
More in the documentationWe reach for OpenAI when your product needs to generate text, classify content or offer an assistant that answers naturally. Through structured outputs we pull reliable JSON out of the model and feed it straight into your interface or backend. That gives you AI features that feel like an ordinary part of the application.
const res = await client.chat.completions.create({
model: "gpt-4o",
messages: [{ role: "user", content: "classify this ticket" }],
response_format: { type: "json_schema", json_schema: ticketSchema },
});
const data = JSON.parse(res.choices[0].message.content);Good to know
Pin responses to a fixed JSON schema via response_format instead of letting the model write freely and parsing afterwards. That spares you fragile string-guessing and makes the output predictable enough for a production backend.
More tools we work with in the same area.
Anthropic
Claude models for secure, high-performance AI integrations.
RAG
Retrieval-augmented generation for AI answers based on your own data.
Vector Databases
Semantic search and knowledge bases for AI applications.
LangChain
A framework for orchestrating LLM workflows, agents and tools.
Hugging Face
Open-source models and inference for AI that fits you exactly.
MCP
Model Context Protocol for a clean connection between AI and your tools.
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