# HoneyHive AI Docs

> AI observability and evaluation platform. Trace, evaluate, monitor, and improve AI agents and LLM applications.

## Documentation

- [HoneyHive Overview](https://docs.honeyhive.ai/v2/introduction/what-is-hhai.md): Getting started with HoneyHive

## Getting Started

- [Tracing Quickstart](https://docs.honeyhive.ai/v2/introduction/tracing-quickstart.md): Trace your first AI application in 5 minutes
- [Experiments Quickstart](https://docs.honeyhive.ai/v2/introduction/experiments-quickstart.md): Run your first experiment with HoneyHive in 5 minutes
- [Use with Coding Agents](https://docs.honeyhive.ai/v2/introduction/ai-coding-agents.md): Give AI coding agents HoneyHive skills, CLI access, and live documentation context.
- [Troubleshooting & FAQs](https://docs.honeyhive.ai/v2/introduction/troubleshooting.md): Common issues, solutions, and frequently asked questions

## Observability

- [Introduction](https://docs.honeyhive.ai/v2/tracing/introduction.md): Getting started with tracing in HoneyHive.
- [Concepts](https://docs.honeyhive.ai/v2/tracing/concepts.md): Core concepts behind HoneyHive's tracing data model, event schema, and OpenTelemetry architecture.
- [Custom Spans](https://docs.honeyhive.ai/v2/tracing/custom-spans.md): Create custom spans for business logic tracing and workflow observability
- [Tracer Initialization](https://docs.honeyhive.ai/v2/tracing/tracer-initialization.md): Where to initialize the tracer for scripts, evaluate(), Lambda, and web servers.
- [Overview](https://docs.honeyhive.ai/v2/tracing/enrich-traces.md): Add custom attributes to your traces for filtering, debugging, and evaluation
- [Schema Reference](https://docs.honeyhive.ai/v2/tracing/enrichment-schema.md): Complete reference for enrichment namespaces, data types, and backend attributes
- [User Feedback](https://docs.honeyhive.ai/v2/tracing/setting-user-feedback.md): Capture user ratings, comments, and implicit signals on your traces
- [Custom Metrics](https://docs.honeyhive.ai/v2/tracing/client-side-evals.md): Log evaluation scores and guardrail results computed in your application
- [Configuration](https://docs.honeyhive.ai/v2/tracing/configuration-details.md): Log prompt templates, model parameters, and other configuration context on your traces
- [User Properties](https://docs.honeyhive.ai/v2/tracing/setting-user-properties.md): Add user context to your traces for user-centric filtering and analysis
- [Online Experiments](https://docs.honeyhive.ai/v2/tracing/online-experimentation.md): Tag traces with experiment IDs and variants to analyze A/B test results in HoneyHive
- [Distributed Tracing](https://docs.honeyhive.ai/v2/tracing/distributed-tracing.md): How to trace application execution across multiple services.
- [Multi-Instance Tracing](https://docs.honeyhive.ai/v2/tracing/multi-instance.md): Run multiple tracer instances for multi-tenant, A/B testing, or environment-specific tracing.
- [Multi-Provider Tracing](https://docs.honeyhive.ai/v2/tracing/multi-provider.md): Trace applications that call more than one LLM provider in the same workflow.
- [Multi-Modal Tracing](https://docs.honeyhive.ai/v2/tracing/multi-modal.md): Trace pipelines that process images, audio, video, and other media
- [Multi-Threading (Python)](https://docs.honeyhive.ai/v2/tracing/multithreading.md): How to trace multi-threaded applications in Python with HoneyHive.
- [Sampling](https://docs.honeyhive.ai/v2/tracing/sampling.md): Control which requests get traced in high-volume applications.
- [Span Filtering](https://docs.honeyhive.ai/v2/tracing/filtering.md): Filter out noisy or unwanted spans from your traces using prefix-based rules.
- [Tracing via API](https://docs.honeyhive.ai/v2/tracing/manual-instrumentation.md): Logging your application execution to HoneyHive without using the tracers
- [Explore in UI](https://docs.honeyhive.ai/v2/tracing/ui-flows.md): Learn how to navigate, debug, and curate data from your traces in the Traces page
- [Tree View](https://docs.honeyhive.ai/v2/tracing/tree-view.md): Inspect the hierarchical span tree showing parent-child relationships in your traces
- [Timeline View](https://docs.honeyhive.ai/v2/tracing/timeline-view.md): Visualize span durations as a Gantt chart to identify latency bottlenecks
- [Graph View](https://docs.honeyhive.ai/v2/tracing/graph-view.md): Visualize execution flow as a directed graph with latency bottlenecks and agent paths
- [Trajectory View](https://docs.honeyhive.ai/v2/tracing/trajectory-view.md): Visualize agent behavior patterns as a bubble chart across execution steps
- [Thread View](https://docs.honeyhive.ai/v2/tracing/thread-view.md): View conversational traces as a chronological message thread
- [Session Aggregations](https://docs.honeyhive.ai/v2/tracing/aggregation-logic.md): Reserved session metadata fields that HoneyHive automatically calculates
- [Export Data](https://docs.honeyhive.ai/v2/tracing/query-data.md): Programmatically query and export trace data from HoneyHive.
- [Dashboard](https://docs.honeyhive.ai/v2/monitoring/overview.md): Analyze cost, latency, and quality metrics from your AI application in HoneyHive's monitoring dashboard.
- [Custom Charts](https://docs.honeyhive.ai/v2/monitoring/charts.md): How to use HoneyHive's Discover interface to measure performance and discover interesting trends.
- [Online Evaluations](https://docs.honeyhive.ai/v2/monitoring/onlineevals.md): Run evaluators automatically on ingested traces to continuously monitor quality.
- [Overview](https://docs.honeyhive.ai/v2/monitoring/alerts/alerts_overview.md): Learn about HoneyHive alerts - types, states, and how they help you monitor LLM application performance.
- [Creating Alerts](https://docs.honeyhive.ai/v2/monitoring/alerts/alerts.md): Step-by-step guide to creating alerts that monitor your AI application's performance, quality, and cost metrics.

## Evaluation

- [Introduction](https://docs.honeyhive.ai/v2/evaluation/introduction.md): Systematically test and improve your AI applications with experiments
- [Concepts](https://docs.honeyhive.ai/v2/evaluation/concepts.md): How experiments work in HoneyHive
- [Comparing Experiments](https://docs.honeyhive.ai/v2/evaluation/comparing_evals.md): Compare experiment runs to identify improvements and regressions across prompts, models, or configurations.
- [Experiments via API](https://docs.honeyhive.ai/v2/evaluation/via-api.md): Run experiments using the REST API for non-Python runtimes, custom pipelines, or CI systems
- [CI Regression Detection](https://docs.honeyhive.ai/v2/evaluation/ci-regression-detection.md): Automatically catch quality regressions on every pull request using HoneyHive experiment comparison
- [Introduction](https://docs.honeyhive.ai/v2/evaluators/introduction.md): An overview of HoneyHive evaluators
- [Client-Side Evaluators](https://docs.honeyhive.ai/v2/evaluators/client_side.md): Run evaluation logic in your application code
- [Python Evaluators](https://docs.honeyhive.ai/v2/evaluators/python.md): Create custom server-side evaluators using Python code to assess AI outputs
- [LLM Evaluators](https://docs.honeyhive.ai/v2/evaluators/llm.md): Create LLM-powered evaluators to evaluate AI outputs using custom prompts
- [Human Evaluators](https://docs.honeyhive.ai/v2/evaluators/human.md): Create human evaluator fields for manual review and annotation of AI outputs
- [Composite Evaluators](https://docs.honeyhive.ai/v2/evaluators/composites.md): Combine multiple evaluators into a single aggregated score
- [Version Control](https://docs.honeyhive.ai/v2/evaluators/versioning.md): Track changes and roll back evaluators to previous versions
- [Evaluator Template List](https://docs.honeyhive.ai/v2/evaluators/evaluator-templates.md): A list of HoneyHive's server-side evaluator templates.
- [Introduction](https://docs.honeyhive.ai/v2/datasets/introduction.md): An overview of HoneyHive datasets and their role in the AI application lifecycle.
- [Curate from Traces](https://docs.honeyhive.ai/v2/datasets/dataset-curation.md): Build datasets from production traces in HoneyHive
- [Upload Datasets](https://docs.honeyhive.ai/v2/datasets/import.md): How to upload datasets to HoneyHive via UI or SDK
- [Sync from External Sources](https://docs.honeyhive.ai/v2/datasets/sync.md): Keep a HoneyHive dataset synced with S3, databases, or other external sources
- [Export Datasets](https://docs.honeyhive.ai/v2/datasets/export.md): Programmatically export datasets from HoneyHive
- [Import from Hugging Face](https://docs.honeyhive.ai/v2/datasets/hf-datasets.md): Import datasets from Hugging Face Datasets to HoneyHive
- [Annotation Queues](https://docs.honeyhive.ai/v2/evaluation/annotation-queues.md): Learn how to create and manage annotation queues for human review and labeling.

## Prompt Management

- [Managing Prompts](https://docs.honeyhive.ai/v2/prompts/overview.md): Create, test, and manage prompts in the HoneyHive Playground.
- [Using Prompts in Code](https://docs.honeyhive.ai/v2/prompts/deploy.md): Fetch deployed prompts from HoneyHive and use them in your application.

## Administration

- [Organization Hierarchy](https://docs.honeyhive.ai/v2/workspace/organization-hierarchy.md): How organizations, workspaces, and projects structure your HoneyHive account.
- [Managing Projects](https://docs.honeyhive.ai/v2/workspace/projects.md): How to organize projects in HoneyHive for your AI applications.
- [Inviting Teammates](https://docs.honeyhive.ai/v2/workspace/inviting-teammates.md): How to invite teammates to your HoneyHive organization, workspaces, and projects.
- [Role Based Access Control](https://docs.honeyhive.ai/v2/workspace/roles.md): Manage user permissions across your organization, workspaces, and projects.
- [Provider Keys](https://docs.honeyhive.ai/v2/workspace/provider-keys.md): Configure AI provider API keys for LLM evaluators and the Playground.
- [Templates](https://docs.honeyhive.ai/v2/workspace/templates.md): Configure standard evaluators and monitoring charts across every project.
- [Usage](https://docs.honeyhive.ai/v2/workspace/usage.md): View event counts, enrichment metrics, and export usage reports from Organization Settings.
- [Multi-Tenant SaaS](https://docs.honeyhive.ai/v2/setup/managed.md): Getting started on HoneyHive's multi-tenant SaaS cloud.
- [Dedicated Cloud](https://docs.honeyhive.ai/v2/setup/dedicated.md): Getting started on HoneyHive's dedicated cloud with isolated infrastructure.
- [Self-Hosting Overview](https://docs.honeyhive.ai/v2/setup/self-hosted.md): Deploy HoneyHive in your private cloud or on-premise environment.
- [Security Architecture](https://docs.honeyhive.ai/v2/setup/self-hosted/security.md): Security controls, encryption, and compliance for HoneyHive self-hosted deployments
- [Data Flow & Residency](https://docs.honeyhive.ai/v2/setup/self-hosted/data-flow.md): Data classification, flow boundaries, and residency controls for HoneyHive self-hosted deployments
- [Operations Guide](https://docs.honeyhive.ai/v2/setup/self-hosted/operations.md): Day 2 operations: upgrades, monitoring, backup, scaling, and incident response for self-hosted HoneyHive
- [Infrastructure Requirements](https://docs.honeyhive.ai/v2/setup/infrastructure-requirements.md): Supported dependency versions for self-hosted HoneyHive deployments.
- [Platform Architecture](https://docs.honeyhive.ai/v2/platform-architecture.md): How HoneyHive's Management Plane and Data Plane architecture works.
- [Security](https://docs.honeyhive.ai/v2/setup/security.md): How HoneyHive protects your data, infrastructure, and AI applications.

## Learn More

- [Overview](https://docs.honeyhive.ai/v2/concepts.md): The key concepts behind the HoneyHive Platform
- [End-to-End: Multi-Agent Tracing and Evaluation](https://docs.honeyhive.ai/v2/tutorials/multi-agent-cookbook.md): Build a multi-agent customer support bot with Google ADK, add HoneyHive observability, and evaluate agent quality
- [Add Tracing to Existing Apps](https://docs.honeyhive.ai/v2/tutorials/add-tracing-5min.md): Add HoneyHive tracing to your existing LLM application with just 5 lines of code
- [Enrich Your Traces](https://docs.honeyhive.ai/v2/tutorials/enriching-traces.md): Add user IDs and custom metadata to make traces more useful
- [Deploy Tracing to Production](https://docs.honeyhive.ai/v2/tutorials/production-deployment.md): Configure HoneyHive tracing for production environments
- [Trace Distributed Systems](https://docs.honeyhive.ai/v2/tutorials/distributed-tracing.md): Trace requests across service boundaries with context propagation

## SDK Reference

- [SDK Overview](https://docs.honeyhive.ai/v2/sdk-reference/overview.md): Choose the right HoneyHive SDK for your use case

## Python SDK

- [Python SDK](https://docs.honeyhive.ai/v2/sdk-reference/python-sdk-ref.md): Full-featured Python SDK built on OpenTelemetry
- [Environment Variables](https://docs.honeyhive.ai/v2/sdk-reference/environment-variables.md): Configuration reference for HoneyHive Python SDK environment variables
- [Python SDK Changelog](https://docs.honeyhive.ai/v2/sdk-reference/python-sdk-changelog.md): Release notes for the HoneyHive Python SDK
- [Migrate to SDK v1](https://docs.honeyhive.ai/v2/sdk-reference/python/migration/v0-to-v1.md): Upgrade the HoneyHive Python SDK from v0.x to v1.0.
- [Migrate from Logger to v1](https://docs.honeyhive.ai/v2/sdk-reference/python/migration/logger-to-v1.md): Replace honeyhive-logger start, log, and update calls with the HoneyHive Python SDK v1 tracer.
- [Migrate from honeyhive-bundled to v1](https://docs.honeyhive.ai/v2/sdk-reference/python/migration/honeyhive-bundled-to-v1.md): Move from honeyhive-bundled to the main HoneyHive Python SDK package.

## TypeScript API SDK

- [TypeScript API SDK](https://docs.honeyhive.ai/v2/sdk-reference/typescript.md): Type-safe TypeScript client for the HoneyHive REST API
- [Migrate from @honeyhive/logger](https://docs.honeyhive.ai/v2/sdk-reference/typescript-logger-to-api-sdk-migration.md): Move from the @honeyhive/logger package to @honeyhive/api-client
- [Environment Variables](https://docs.honeyhive.ai/v2/sdk-reference/typescript/environment-variables.md): Configuration reference for the HoneyHive TypeScript SDK environment variables
- [Client](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/classes/Client.md): HoneyHive TypeScript API SDK client class reference
- [ClientConfig](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/ClientConfig.md): TypeScript interface for the HoneyHive API
- [AddDatapointsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/AddDatapointsRequest.md): TypeScript request type for the HoneyHive API
- [BatchCreateDatapointsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/BatchCreateDatapointsRequest.md): TypeScript request type for the HoneyHive API
- [CreateChartRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateChartRequest.md): TypeScript request type for the HoneyHive API
- [CreateDatapointRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateDatapointRequest.md): TypeScript request type for the HoneyHive API
- [CreateDatasetRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateDatasetRequest.md): TypeScript request type for the HoneyHive API
- [CreateEventBatchRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateEventBatchRequest.md): TypeScript request type for the HoneyHive API
- [CreateEventRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateEventRequest.md): TypeScript request type for the HoneyHive API
- [CreateMetricRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateMetricRequest.md): TypeScript request type for the HoneyHive API
- [CreateMetricVersionRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateMetricVersionRequest.md): TypeScript request type for the HoneyHive API
- [CreateRunRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateRunRequest.md): TypeScript request type for the HoneyHive API
- [CreateSessionEventBatchRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateSessionEventBatchRequest.md): TypeScript request type for the HoneyHive API
- [CreateSessionRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/CreateSessionRequest.md): TypeScript request type for the HoneyHive API
- [DeleteChartRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeleteChartRequest.md): TypeScript request type for the HoneyHive API
- [DeleteDatapointRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeleteDatapointRequest.md): TypeScript request type for the HoneyHive API
- [DeleteDatasetRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeleteDatasetRequest.md): TypeScript request type for the HoneyHive API
- [DeleteMetricRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeleteMetricRequest.md): TypeScript request type for the HoneyHive API
- [DeleteRunRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeleteRunRequest.md): TypeScript request type for the HoneyHive API
- [DeployMetricVersionRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/DeployMetricVersionRequest.md): TypeScript request type for the HoneyHive API
- [GetChartRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetChartRequest.md): TypeScript request type for the HoneyHive API
- [GetDatapointRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetDatapointRequest.md): TypeScript request type for the HoneyHive API
- [GetDatapointsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetDatapointsRequest.md): TypeScript request type for the HoneyHive API
- [GetDatasetsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetDatasetsRequest.md): TypeScript request type for the HoneyHive API
- [GetExperimentCompareEventsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetExperimentCompareEventsRequest.md): TypeScript request type for the HoneyHive API
- [GetExperimentComparisonRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetExperimentComparisonRequest.md): TypeScript request type for the HoneyHive API
- [GetExperimentRunMetricsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetExperimentRunMetricsRequest.md): TypeScript request type for the HoneyHive API
- [GetExperimentSummaryRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetExperimentSummaryRequest.md): TypeScript request type for the HoneyHive API
- [GetMetricsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetMetricsRequest.md): TypeScript request type for the HoneyHive API
- [GetMetricVersionsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetMetricVersionsRequest.md): TypeScript request type for the HoneyHive API
- [GetRunRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetRunRequest.md): TypeScript request type for the HoneyHive API
- [GetRunSchemaRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetRunSchemaRequest.md): TypeScript request type for the HoneyHive API
- [GetRunsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetRunsRequest.md): TypeScript request type for the HoneyHive API
- [GetRunsSchemaRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/GetRunsSchemaRequest.md): TypeScript request type for the HoneyHive API
- [RemoveDatapointRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/RemoveDatapointRequest.md): TypeScript request type for the HoneyHive API
- [RunMetricRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/RunMetricRequest.md): TypeScript request type for the HoneyHive API
- [SearchEventsRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/SearchEventsRequest.md): TypeScript request type for the HoneyHive API
- [UpdateChartRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateChartRequest.md): TypeScript request type for the HoneyHive API
- [UpdateDatapointRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateDatapointRequest.md): TypeScript request type for the HoneyHive API
- [UpdateDatasetRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateDatasetRequest.md): TypeScript request type for the HoneyHive API
- [UpdateEventRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateEventRequest.md): TypeScript request type for the HoneyHive API
- [UpdateMetricRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateMetricRequest.md): TypeScript request type for the HoneyHive API
- [UpdateRunRequest](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/UpdateRunRequest.md): TypeScript request type for the HoneyHive API
- [AddDatapointsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/AddDatapointsResponse.md): TypeScript response type from the HoneyHive API
- [BatchCreateDatapointsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/BatchCreateDatapointsResponse.md): TypeScript response type from the HoneyHive API
- [CreateChartResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateChartResponse.md): TypeScript response type from the HoneyHive API
- [CreateDatapointResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateDatapointResponse.md): TypeScript response type from the HoneyHive API
- [CreateDatasetResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateDatasetResponse.md): TypeScript response type from the HoneyHive API
- [CreateEventBatchResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateEventBatchResponse.md): TypeScript response type from the HoneyHive API
- [CreateEventResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateEventResponse.md): TypeScript response type from the HoneyHive API
- [CreateMetricResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateMetricResponse.md): TypeScript response type from the HoneyHive API
- [CreateMetricVersionResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateMetricVersionResponse.md): TypeScript response type from the HoneyHive API
- [CreateRunResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateRunResponse.md): TypeScript response type from the HoneyHive API
- [CreateSessionEventBatchResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateSessionEventBatchResponse.md): TypeScript response type from the HoneyHive API
- [CreateSessionResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/CreateSessionResponse.md): TypeScript response type from the HoneyHive API
- [DeleteChartResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeleteChartResponse.md): TypeScript response type from the HoneyHive API
- [DeleteDatapointResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeleteDatapointResponse.md): TypeScript response type from the HoneyHive API
- [DeleteDatasetResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeleteDatasetResponse.md): TypeScript response type from the HoneyHive API
- [DeleteMetricResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeleteMetricResponse.md): TypeScript response type from the HoneyHive API
- [DeleteRunResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeleteRunResponse.md): TypeScript response type from the HoneyHive API
- [DeployMetricVersionResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/DeployMetricVersionResponse.md): TypeScript response type from the HoneyHive API
- [GetChartResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetChartResponse.md): TypeScript response type from the HoneyHive API
- [GetChartsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetChartsResponse.md): TypeScript response type from the HoneyHive API
- [GetDatapointResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetDatapointResponse.md): TypeScript response type from the HoneyHive API
- [GetDatapointsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetDatapointsResponse.md): TypeScript response type from the HoneyHive API
- [GetDatasetsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetDatasetsResponse.md): TypeScript response type from the HoneyHive API
- [GetExperimentCompareEventsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetExperimentCompareEventsResponse.md): TypeScript response type from the HoneyHive API
- [GetExperimentComparisonResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetExperimentComparisonResponse.md): TypeScript response type from the HoneyHive API
- [GetExperimentRunMetricsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetExperimentRunMetricsResponse.md): TypeScript response type from the HoneyHive API
- [GetExperimentSummaryResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetExperimentSummaryResponse.md): TypeScript response type from the HoneyHive API
- [GetMetricsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetMetricsResponse.md): TypeScript response type from the HoneyHive API
- [GetMetricVersionsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetMetricVersionsResponse.md): TypeScript response type from the HoneyHive API
- [GetRunResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetRunResponse.md): TypeScript response type from the HoneyHive API
- [GetRunSchemaResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetRunSchemaResponse.md): TypeScript response type from the HoneyHive API
- [GetRunsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetRunsResponse.md): TypeScript response type from the HoneyHive API
- [GetRunsSchemaResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/GetRunsSchemaResponse.md): TypeScript response type from the HoneyHive API
- [RemoveDatapointResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/RemoveDatapointResponse.md): TypeScript response type from the HoneyHive API
- [RunMetricResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/RunMetricResponse.md): TypeScript response type from the HoneyHive API
- [SearchEventsResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/SearchEventsResponse.md): TypeScript response type from the HoneyHive API
- [UpdateChartResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/UpdateChartResponse.md): TypeScript response type from the HoneyHive API
- [UpdateDatapointResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/UpdateDatapointResponse.md): TypeScript response type from the HoneyHive API
- [UpdateDatasetResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/UpdateDatasetResponse.md): TypeScript response type from the HoneyHive API
- [UpdateMetricResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/UpdateMetricResponse.md): TypeScript response type from the HoneyHive API
- [UpdateRunResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/type-aliases/UpdateRunResponse.md): TypeScript response type from the HoneyHive API
- [ApiError](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/classes/ApiError.md): Error class thrown by the HoneyHive TypeScript SDK
- [HoneyHiveError](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/classes/HoneyHiveError.md): Error class thrown by the HoneyHive TypeScript SDK
- [NetworkError](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/classes/NetworkError.md): Error class thrown by the HoneyHive TypeScript SDK
- [ErrorResponse](https://docs.honeyhive.ai/v2/sdk-reference/typescript/ref/interfaces/ErrorResponse.md): TypeScript response type from the HoneyHive API

## Semantic Conventions

- [Semantic Convention Reference](https://docs.honeyhive.ai/v2/sdk-reference/semconv-reference.md): Canonical HoneyHive attribute names, special attribute behaviors, and UI sideview rendering reference
- [Framework Attribute Mapping](https://docs.honeyhive.ai/v2/sdk-reference/semconv-alignment.md): How attributes from OTel GenAI, OpenInference, and Traceloop map to HoneyHive canonical schema keys

## OpenAPI Client

- [OpenAPI Client (Any Language)](https://docs.honeyhive.ai/v2/sdk-reference/openapi-sdks.md): Generate lightweight API clients in any language using HoneyHive's public OpenAPI spec

## CLI Reference

- [Getting Started](https://docs.honeyhive.ai/v2/cli-reference/getting-started.md): Use the HoneyHive CLI to work with HoneyHive from your terminal
- [Config as Code](https://docs.honeyhive.ai/v2/cli-reference/config-as-code.md): Define HoneyHive evaluators, datasets, and other resources as files in your repo and apply them with the CLI.
- [Environment Variables](https://docs.honeyhive.ai/v2/cli-reference/environment-variables.md): Configuration reference for the HoneyHive CLI environment variables
- [Namespaces](https://docs.honeyhive.ai/v2/cli-reference/namespaces.md): Commands in the CLI are organized into namespaces. Explore the namespaces below to learn more about each command.

## Reference

- [Charts](https://docs.honeyhive.ai/v2/cli-reference/ref/charts.md): Define and manage saved charts. Charts are visualizations that aggregate metrics over time with bucketing, filters, and groupings.
- [Datapoints](https://docs.honeyhive.ai/v2/cli-reference/ref/datapoints.md): Manage individual records inside datasets, including batch creation and mapping to source events.
- [Datasets](https://docs.honeyhive.ai/v2/cli-reference/ref/datasets.md): Curate collections of datapoints used as test sets for evaluations and experiments.
- [Events](https://docs.honeyhive.ai/v2/cli-reference/ref/events.md): Read and write trace events. Events are the spans that capture every step of an AI application's execution.
- [Experiments](https://docs.honeyhive.ai/v2/cli-reference/ref/experiments.md): Run, retrieve, and compare evaluation runs to measure how prompt or configuration changes affect agent performance.
- [Metric Versions](https://docs.honeyhive.ai/v2/cli-reference/ref/metric-versions.md): Snapshot, list, and deploy versions of a metric's definition so changes can be reviewed and rolled back without losing history.
- [Metrics](https://docs.honeyhive.ai/v2/cli-reference/ref/metrics.md): Define and run evaluators, i.e. automated quality checks that score traces against criteria like accuracy, safety, or correctness.
- [Sessions](https://docs.honeyhive.ai/v2/cli-reference/ref/sessions.md): Group related trace events into sessions, the top-level container for a multi-step or multi-service AI interaction.

## API Reference

- [API Reference (OpenAPI spec)](https://raw.githubusercontent.com/honeyhiveai/honeyhive-openapi/main/openapi.yaml): Machine-readable OpenAPI 3.0 spec for the HoneyHive REST API.

## Agent Frameworks

- [Claude Agent SDK](https://docs.honeyhive.ai/v2/integrations/claude-agent-sdk.md): Add HoneyHive observability to your Claude Agent SDK applications
- [Cursor SDK](https://docs.honeyhive.ai/v2/integrations/cursor-sdk.md): Trace Cursor SDK agent runs in HoneyHive
- [OpenAI Agents SDK](https://docs.honeyhive.ai/v2/integrations/openai-agents.md): Add HoneyHive observability to your OpenAI Agents SDK applications
- [CrewAI](https://docs.honeyhive.ai/v2/integrations/crewai.md): Add HoneyHive observability to your CrewAI applications
- [Google ADK](https://docs.honeyhive.ai/v2/integrations/google-adk.md): Add HoneyHive observability to your Google Agent Development Kit applications
- [Pydantic AI](https://docs.honeyhive.ai/v2/integrations/pydantic-ai.md): Add HoneyHive observability to your PydanticAI agent applications
- [Microsoft Semantic Kernel](https://docs.honeyhive.ai/v2/integrations/semantic-kernel.md): Add HoneyHive observability to your Semantic Kernel applications
- [AWS Strands Agents](https://docs.honeyhive.ai/v2/integrations/strands.md): Add HoneyHive observability to your Strands Agents applications
- [AutoGen](https://docs.honeyhive.ai/v2/integrations/autogen.md): Add HoneyHive observability to your AutoGen AgentChat applications
- [LangChain](https://docs.honeyhive.ai/v2/integrations/langchain.md): Add HoneyHive observability to your LangChain applications
- [LangGraph](https://docs.honeyhive.ai/v2/integrations/langgraph.md): Add HoneyHive observability to your LangGraph state graphs and workflows
- [DSPy](https://docs.honeyhive.ai/v2/integrations/dspy.md): Add HoneyHive observability to your DSPy applications

## Model Providers

- [Anthropic](https://docs.honeyhive.ai/v2/integrations/anthropic.md): Add HoneyHive observability to your Anthropic Claude applications
- [OpenAI](https://docs.honeyhive.ai/v2/integrations/openai.md): Add HoneyHive observability to your OpenAI applications
- [Azure OpenAI](https://docs.honeyhive.ai/v2/integrations/azure_openai.md): Add HoneyHive observability to your Azure OpenAI applications
- [AWS Bedrock](https://docs.honeyhive.ai/v2/integrations/aws_bedrock.md): Add HoneyHive observability to your AWS Bedrock applications
- [Gemini](https://docs.honeyhive.ai/v2/integrations/gemini.md): Add HoneyHive observability to your Google Gemini applications

## AI Gateways

- [LiteLLM](https://docs.honeyhive.ai/v2/integrations/litellm.md): Add HoneyHive observability to your LiteLLM applications
- [Portkey](https://docs.honeyhive.ai/v2/integrations/portkey.md): Add HoneyHive observability to your Portkey AI gateway applications
- [TrueFoundry](https://docs.honeyhive.ai/v2/integrations/truefoundry.md): Export TrueFoundry AI Gateway traces to HoneyHive over OTLP/HTTP

## Coding Agents

- [Claude Code](https://docs.honeyhive.ai/v2/integrations/claude-code.md): Export Claude Code sessions into HoneyHive for observability and evaluation
- [Devin](https://docs.honeyhive.ai/v2/integrations/devin.md): Export Devin sessions into HoneyHive for observability and evaluation

## Changelog

- [Product](https://docs.honeyhive.ai/v2/changelog/product.md): New updates and improvements to our core platform and UI.
- [Clients](https://docs.honeyhive.ai/v2/changelog/clients.md): Releases for the Python SDK, TypeScript API SDK, and CLI.
- [Self-Hosting](https://docs.honeyhive.ai/v2/changelog/self-hosting.md): Updates to HoneyHive Helm charts for self-hosted deployments.