Introduction
OpenAI provides best-in-class language models, including GPT-4o, GPT-4-turbo, and GPT-3.5-turbo, via a robust API and enterprise-grade infrastructure—enabling Cake teams to build scalable, high-quality LLM-powered applications with minimal operational overhead. OpenAI models are widely used for natural language understanding, code generation, reasoning, summarization, retrieval-based generation, and more. These models serve as both production backends and research baselines, supporting flexible prompt orchestration, tool use, and multi-agent collaboration.
Key Benefits of Using OpenAI include:
Best-in-Class Model Performance: GPT-4 and GPT-4o lead the field in reasoning, instruction-following, multilinguality, and code generation, offering robust generalization across a wide range of tasks.
Multi-Modal Capabilities: With GPT-4o, teams can now build applications that combine text, image, and audio inputs and outputs through a single, unified API.
Tool Use and Function Calling: OpenAI models natively support structured function calling, retrieval plugin invocation, and tool chaining—ideal for agentic workflows.
Fine-Tuning Support: GPT-3.5-turbo models can be fine-tuned using OpenAI's managed infrastructure, allowing Cake teams to specialize models for domain-specific behavior or product UX.
Enterprise Security and Reliability: Includes SOC2-compliant APIs, data retention controls, rate limiting, and SLAs—making OpenAI suitable for production-facing applications with sensitive or regulated data.
Use Cases
OpenAI models are used for:
Internal and customer-facing copilots that support analytics, operations, onboarding, or engineering workflows.
Retrieval-Augmented Generation (RAG) pipelines, where OpenAI acts as the synthesis or reasoning engine after custom context injection.
Agent frameworks like LangChain, LangGraph, and CrewAI, where OpenAI powers tool-using agents, evaluators, or planners.
Code intelligence systems that assist with documentation, test generation, code explanation, and cross-repo reasoning.
Prompt experimentation and evaluation, serving as a fast iteration backend with consistent performance and tight observability (via tools like LangFuse, TrustCall, or DeepEval).
Teams can access OpenAI via LiteLLM or the official API and SDKs, with optional proxy layers and caching strategies for cost control. For sensitive or enterprise workflows, OpenAI’s ChatGPT Enterprise and Azure OpenAI Service are used to ensure compliance and data governance. By integrating OpenAI, Cake empowers its teams with best-in-class LLMs backed by reliable infrastructure—driving fast iteration, robust reasoning, and user-facing intelligence across every part of the platform.