Quickstart

To install our SDKs, run the following commands in the shell.

pip install honeyhive

Initializing the HoneyHiveTracer marks the beginning of your session and allows you to begin tracing your program. To initialize, pass the following parameters:

• api_key: Get your API key from HoneyHive Account Settings.
• project: Create a project from HoneyHive Projects.
• (optional) source: The source of the trace, e.g. “prod”, “dev”, etc. Defaults to “dev”.
• (optional) session_name: The name of the session, defaults to the main module name.

If you are using a self-hosted or dedicated deployment, you also need to pass:

• server_url: The private HoneyHive endpoint found in the Settings page in the HoneyHive app.

from honeyhive import HoneyHiveTracer

# Add this code at the beginning of your AI pipeline code
HoneyHiveTracer.init(
    api_key=MY_HONEYHIVE_API_KEY,
    project=MY_HONEYHIVE_PROJECT_NAME,
    source=MY_SOURCE, # Optional
    session_name=MY_SESSION_NAME, # Optional
    server_url=MY_HONEYHIVE_SERVER_URL # Optional / Required for self-hosted or dedicated deployments
)

# Your LLM and vector database calls will now be automatically instrumented
# Run HoneyHiveTracer.init() again to end the current session and start a new one

The above initialization will auto-capture all interactions with our supported providers.

To capture anything else, you can trace any function in your code and see its inputs, outputs, errors, duration, etc. by decorating it as follows.

from honeyhive import trace

@trace
def my_function(param1, param2):
    # Code here
    return result