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Model Provider

OpenAI

Provider 01

Models, batch endpoints, and usage telemetry with token-level analytics.

Overview

Connect EvalOps to OpenAI for comprehensive model monitoring across GPT-4, GPT-3.5, and embedding models. Track token usage, latency, and costs in real-time while maintaining evaluation consistency across all OpenAI endpoints.

Key Features

Direct API integration with OpenAI models

Token-level usage analytics and cost tracking

Batch endpoint support for large-scale evaluations

Real-time latency monitoring

Automatic prompt and response logging

Rate limit management and optimization

Capabilities

GPT-4, GPT-4 Turbo, and GPT-3.5 model access

DALL-E and Whisper integration

Text embeddings (ada-002)

Function calling and tool use

Streaming response support

Use Cases

01

Production LLM application monitoring

02

Cost optimization and budget tracking

03

Quality regression detection

04

A/B testing different model versions

Getting Started

Add your OpenAI API key to EvalOps settings. Configure model preferences and set up cost alerts. Start logging requests through our SDK or direct API integration.