--- title: "Honeyhive integration | Growf" description: "HoneyHive is a modern AI observability and evaluation platform that enables developers and domain experts to collaboratively… Connect Honeyhive to Growf." url: "https://www.growf.io/integrations/honeyhive/" language: "en" --- Integration / Developer Tools & DevOps ![Honeyhive logo](https://www.honeyhive.ai/logo.png) # Honeyhive integration HoneyHive is a modern AI observability and evaluation platform that enables developers and domain experts to collaboratively build reliable AI applications faster. [Get a demo](https://www.growf.io/demo/) About Honeyhive ## Honeyhive is an AI observability and evaluation platform for analyzing LLM apps. It helps teams monitor, debug, and improve AI system reliability faster. [All integrations](https://www.growf.io/integrations/) Category Developer Tools & DevOps, AI & Machine Learning Connection API key Type Tool Actions 690 Tags library Example prompts ## What you can ask Growf to do with Honeyhive - “Add new datapoints to my evaluation dataset” - “List all datasets in my Honeyhive project” - “Log a batch of model events for analysis” - “Mark my current evaluation run as completed” Available actions ## 690 actions your agents can run in Honeyhive - 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-spe… - 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. Show all 42 actions ## Put Honeyhive to work inside Growf. Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop. [Get a demo](https://www.growf.io/demo/)