Honeyhive

42 tools available

HoneyHive is a modern AI observability and evaluation platform that enables developers and domain experts to collaboratively build reliable AI applications faster.

artificial intelligence developer tools

Connect Honeyhive Visit Honeyhive ↗

Connect Honeyhive to Definable to route to the best model per task, mix providers in one workflow, fall back on rate-limits. Personas call Honeyhive's 42 tools directly from chat or scheduled flows. Add it to your persona's available models and route requests to it where it fits best.

Common workflows with Honeyhive

Multi-provider routing

Persona decides which model fits
Calls this provider when its strengths apply
Falls back to alternatives on rate-limits

Specialised pipeline

Use this provider for one stage
Pipe to a different model for the next
Combine outputs in the response

Honeyhive actions 42

Every Honeyhive action below is a callable tool any Definable persona can invoke.

Add datapoints to dataset

Tool to add datapoints to a dataset. Use when you need to append multiple entries with specified input, ground truth, and history mappings.

Compare Experiment Runs

Tool to retrieve experiment comparison between two evaluation runs. Use when you need to analyze the differences in metrics, datapoints, and events between two runs.

Compare Runs Events

Tool to compare events between two experiment runs side-by-side. Use when analyzing differences in model behavior, performance metrics, or outputs between evaluation runs. Returns matched event pairs with their respective data from both runs for comparison.

Batch Create Datapoints

Tool to create multiple datapoints in a single batch operation. Use when you need to bulk-import events into a dataset or create many datapoints at once. Supports filtering by date range, event IDs, or custom criteria. Efficient for migrating large numbers of events to evaluation datasets.

Create Batch Model Events

Tool to create multiple model events in a single request. Use when you need to log a batch of event interactions to HoneyHive.

Create Batch Tool Events

Tool to log a batch of external API calls as tool events. Use when you need to record multiple tool events in one request—use after gathering all event data.

Create Configuration

Creates a new configuration in HoneyHive for managing LLM or pipeline settings. Use this to define reusable configurations with specific models, prompts, and parameters that can be deployed across different environments (dev, staging, prod). Configurations enable version control and environment-specific management of your AI application settings.

Create Datapoint

Tool to create a new datapoint with input-output pairs. Use when you need to add a single datapoint with inputs, ground truth, conversation history, and metadata.

Create Dataset

Tool to create a dataset. Use when you need to initialize a new dataset within a project.

Create Event

Tool to create a new event in HoneyHive to track execution of different parts of your application. Use when you need to log a model call, tool execution, or chain step. Events can be grouped into sessions and nested hierarchically using parent_id and children_ids.

Create Metric

Tool to create a new metric in HoneyHive. Use when you need to define how to evaluate model outputs, whether through code (PYTHON), AI evaluation (LLM), human review (HUMAN), or combining multiple metrics (COMPOSITE). Important: LLM metrics require both model_provider and model_name to be specified.

Create Model Event

Tool to create a new model event to log LLM call data. Use when you need to track a single model interaction including messages, responses, usage, and metadata.

Create Tool

Creates a new tool definition in a HoneyHive project. Use this to register functions or plugins that can be invoked and tracked within HoneyHive. Tools are defined with a JSON Schema for their parameters, allowing HoneyHive to validate inputs and track tool usage in your AI workflows. Tool names must be unique within a project.

Delete Datapoint

Tool to delete a specific datapoint by its ID. Use when you need to remove a datapoint from HoneyHive after confirming its identifier.

Delete Dataset

Tool to delete a dataset by ID. Use when you need to remove a dataset after confirming its ID.

End Evaluation Run

Tool to update an evaluation run's status and metadata. Use to mark a run as completed after finishing evaluations, or update run properties like name, metadata, configuration, and associated event/datapoint IDs.

Get Configurations

Tool to retrieve a list of configurations. Use when you need to fetch all configurations for a specific project before making changes.

Get Datasets

Retrieve datasets from HoneyHive for a specified project. Use this tool when you need to: - List all datasets within a project - Find datasets by type (evaluation or fine-tuning) - Retrieve a specific dataset by its ID Returns dataset details including name, description, datapoints count, type, and timestamps.

Get Events

Tool to query events with filters and projections from HoneyHive. Use this action when you need to retrieve events with lightweight filtering (limit 1000 results). For bulk exports or more complex queries, use the Retrieve Events action instead. Supports filtering by date range, event properties, and field projections.

Get Events By Session ID

Tool to retrieve the complete tree of nested events for a specific session. Use when you need to analyze all events (model calls, tool calls, chains) that occurred within a session, including their hierarchical relationships, inputs, outputs, metrics, and costs. Returns a tree structure with recursive children.

Get Events Chart

Tool to retrieve charting and analytics data for events over time. Use when you need aggregated metrics (duration, cost, token usage) grouped by time buckets or fields. Supports percentile analysis (p50, p95, p99) for latency monitoring and custom filters for targeted analytics.

Get Metrics

Retrieves all metrics associated with a HoneyHive project. Returns a list of metrics including their configuration (name, type, description, thresholds, evaluator details) and metadata (creation/update timestamps, sampling settings). Use this tool when you need to: - List all metrics configured for a project - Get metric IDs for updating metrics via HONEYHIVE_UPDATE_METRIC - Understand what evaluations are set up for a project Prerequisites: Obtain a valid project_name using HONEYHIVE_GET_PROJECTS first.

Get Projects

Tool to retrieve all projects in the HoneyHive account. Use when you need to list available projects, get project IDs for use in other API calls, or search for a specific project by name.

Get Evaluation Run Details

Tool to get details of an evaluation run by its UUID. Use when you need to check the status, configuration, results, or metadata of a specific evaluation run.

Get Run Metrics

Tool to get event metrics for an experiment run. Use when you need to retrieve metrics computed on events within a specific experiment run. Returns an array of event objects with their associated metrics, which can be filtered by date range or custom filters.

Get Evaluation Runs

Tool to retrieve a list of evaluation runs from HoneyHive. Use when you need to: - List all evaluation runs for analysis - Find runs by status, name, or dataset - Get specific runs by their IDs - Paginate through large sets of evaluation runs Returns evaluation details including status, results, configuration, and timestamps.

Get Runs Schema

Tool to retrieve the schema for experiment runs in HoneyHive. Use when you need to understand available fields, datasets, and mappings for experiment runs.

Get Session

Retrieve a complete session tree by session ID from HoneyHive. Use this tool to fetch the full session hierarchy including all nested events (model calls, tool calls, chains) with their inputs, outputs, durations, and metadata. Returns a recursive tree structure with aggregated metrics. Prerequisites: You need a valid session ID from HONEYHIVE_START_SESSION or HONEYHIVE_RETRIEVE_EVENTS.

List Tools

Tool to list all available Honeyhive tools. Use when you need to discover which functions or plugins are registered for use.

Retrieve Datapoint

Retrieve a specific datapoint by its ID from HoneyHive. Use this tool when you need the full details of a single datapoint, including its inputs, ground truth, conversation history, linked datasets, and metadata. Prerequisites: You need a valid datapoint ID. Get datapoint IDs from: - HONEYHIVE_RETRIEVE_DATAPOINTS (list datapoints by project/dataset) - HONEYHIVE_ADD_DATAPOINTS_TO_DATASET (returns IDs of newly created datapoints)

Retrieve Datapoints

Retrieve datapoints from a HoneyHive project. Use this tool to fetch evaluation datapoints containing inputs, ground truth, and metadata. Supports filtering by specific datapoint IDs or dataset name. Commonly used to: - Review existing test cases before running evaluations - Export datapoints for analysis - Verify datapoint contents after adding them to a dataset

Retrieve Events

Retrieve and export events from a HoneyHive project. Use this tool to query traced events (model calls, tool calls, sessions, chains) with optional filters by event_type, metadata, feedback scores, or date range. Returns events with their inputs, outputs, duration, and metrics. Supports pagination for large result sets (max 7500 per page).

Retrieve Experiment Result

Tool to retrieve the result of a specific experiment run. Use when you need the status, metrics, and datapoint-level details of a completed experiment.

Start Evaluation Run

Creates a new evaluation run to group and track multiple session events for analysis. Use this action when you want to: - Compare model performance across multiple sessions - Create evaluation batches for quality assurance - Link existing events to datasets for structured evaluation Prerequisites: - Get project ID using Get Projects action - Get event IDs from Start Session or Retrieve Events actions - (Optional) Get dataset ID from Get Datasets action

Start Session

Start a new HoneyHive session for tracing and observability. Use this tool to initiate a tracking session that groups together related model, tool, and chain events. Returns a session_id that should be used to link subsequent events to this session. Common use cases: - Start tracing a user conversation - Begin logging an LLM pipeline execution - Initialize observability for a batch processing job

Update Configuration

Tool to update an existing HoneyHive configuration. Use when you need to modify a configuration's name, provider, model parameters, environments, or other settings. You must provide the configuration ID (obtainable via Get Configurations action) and the name field. All other fields are optional and will only update if provided.

Update Datapoint

Update an existing datapoint by ID. Use this to modify any combination of inputs, ground_truth, history, metadata, linked_datasets, or linked_evals for a datapoint. Requires a valid datapoint ID obtained from retrieve_datapoints or add_datapoints_to_dataset.

Update Dataset

Tool to update an existing dataset. Use when you need to modify a dataset's details (name, description, datapoints, linked evaluations, or metadata) after confirming its ID.

Update Event

Update an existing HoneyHive event by ID. Use to attach feedback, metrics, metadata, outputs, config, user properties, or update duration on events created via start_session or batch event creation. At least one optional field must be provided alongside the event_id.

Update Metric

Tool to update an existing metric. Use when you need to modify a metric’s properties after creation. Ensure you retrieve the metric first to verify its current state.

Update Project

Updates an existing HoneyHive project's name or description. Use this action to modify project metadata after creation. You must provide the project_id and at least one field to update (name or description). To find project IDs, use the Get Projects action first.

Update Tool

Tool to update an existing tool in HoneyHive. Use when you need to modify a tool's name, description, parameters, or type after confirming its ID. At least one optional field must be provided alongside the required tool ID.

Frequently asked questions

What can I automate with Honeyhive on Definable?

Anything Honeyhive exposes through its API. Common artificial intelligence workflows on Definable include route to the best model per task, mix providers in one workflow, fall back on rate-limits. Personas can call any of the 42 Honeyhive tools directly, then chain the result into another integration without you writing code.

How does Honeyhive authentication work?

Honeyhive uses API_KEY on Definable. You connect once from the integrations page, scoped to the permissions you choose, and from then on any persona that has the integration enabled can act on your behalf. Tokens are encrypted at rest and rotated automatically.

Is the Honeyhive integration included in my Definable plan?

Yes — every Definable plan, including Starter, includes access to all 42 Honeyhive tools. You only need a separate Honeyhive subscription if Honeyhive itself charges per seat or per API call.

Is using Honeyhive through Definable secure?

Every call from a persona to Honeyhive is logged with the user, persona, prompt, and response. Tokens never leave Definable's secrets vault, scopes are configurable per persona, and you can revoke access at any time from the integration page.

How do I get started with Honeyhive on Definable?

Sign up for Definable, open the integrations page, find Honeyhive, and connect via OAuth or API key. You can immediately attach Honeyhive to any persona and start running workflows. The free Starter plan includes 5,000 credits/month.

What Honeyhive actions does Definable expose?

Definable exposes all 42 Honeyhive actions as callable tools — including `Add datapoints to dataset`, `Compare Experiment Runs`, `Compare Runs Events`, plus 39 more. Each tool gets a typed parameter schema so personas know exactly how to call it.

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