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What is HoneyHive?

Getting started on HoneyHive's managed cloud.

HoneyHive Cloud

Getting started with HoneyHive on your cloud.

Private Cloud

Get started with tracing sessions with HoneyHive

Quickstart

Troubleshooting common issues with the tracer

Troubleshooting & FAQs

Setup and Authentication

Logging your application execution to HoneyHive without using the tracers

Manual Instrumentation

Manual Evaluation

Reference documentation for the HoneyHiveTracer and @trace decorator

Python

Reference documentation for the HoneyHiveTracer class

TypeScript

Reference documentation for the HoneyHiveLangChainTracer class in JS

LangChain JS

Reference documentation for the evaluate function

TypeScript SDK

This guide explains how to integrate HoneyHive with LangChain/LangGraph for both Python and TypeScript implementations.

LangChain

This guide explains how to integrate HoneyHive with LlamaIndex for Python implementations.

LlamaIndex

This guide explains how to integrate HoneyHive with the Vercel AI SDK for TypeScript implementations.

Vercel AI SDK

Learn how to integrate Anthropic with HoneyHive

Anthropic

Learn how to integrate Gemini with HoneyHive

Gemini

Learn how to integrate Mistral AI with HoneyHive

Mistral AI

Learn how to integrate NVIDIA NeMo Models with HoneyHive

NVIDIA NeMo

Learn how to integrate IBM watsonx with HoneyHive

IBM watsonx

Learn how to integrate Groq with HoneyHive

Groq

Learn how to integrate Ollama with HoneyHive

Ollama

Learn how to integrate Pinecone with HoneyHive

Pinecone

Learn how to integrate ChromaDB with HoneyHive

ChromaDB

Learn how to integrate Cohere with HoneyHive

Cohere

Getting started with tracing in HoneyHive.

Introduction

How to trace custom spans with HoneyHive.

Custom Spans

Learn how to use HoneyHive to utilize your traces

Explore Traces in UI

Understand how to query your LLM application logs using HoneyHive's Data Schema Language.

Export Traces

Get started with running experiments with HoneyHive

Learn how to compare multiple experiments in HoneyHive to spot improvements and regressions.

Comparing Experiments

Connect your application to HoneyHive and start monitoring your application performance in production.

Overview

How to use HoneyHive's query builder interface to monitor performance and drive systematic improvements at scale.

Using Discover

How to configure online evaluations to monitor your application.

Online Evaluations

Technical documentation for creating custom human evaluator fields in HoneyHive

Human annotation

Technical documentation for creating and managing composite evaluators in HoneyHive

Composite Evaluators

How to manage and version control your custom evaluators in HoneyHive

Version control

Curating a dataset of inputs & outputs from your traces

Curate from traces

Upload datasets

How to programmatically export datasets in HoneyHive.

Export datasets via SDK

How to import datasets from HuggingFace Datasets to HoneyHive.

Import from Hugging Face

Test, version and manage your prompts in the Studio.

Managing Prompts

How to deploy prompts to specific environments and export them for use in your application.

Fetching Deployed Prompts

Managing Projects

How to invite teammates to your HoneyHive account.

Inviting Teammates

Instrumenting a RAG application with HoneyHive

Observability Tutorial - RAG

The key concepts behind the HoneyHive Platform

Key Concepts

Platform Architecture

Start a new session

Retrieve a session

Update an event

Please refer to our instrumentation guide for detailed information

Introduction

Tracer Reference

Experiments Reference

SDK Reference

Python SDK