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PUT
/
metrics
Python
import honeyhive
from honeyhive.models import components

s = honeyhive.HoneyHive(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
)


res = s.metrics.update_metric(request=components.MetricEdit(
    metric_id='<value>',
))

if res is not None:
    # handle response
    pass

Documentation Index

Fetch the complete documentation index at: https://docs.honeyhive.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
metric_id
string
required

Unique identifier of the metric

​
criteria
string

Criteria for human metrics

​
name
string

Updated name of the metric

​
description
string

Short description of what the metric does

​
code_snippet
string

Updated code block for the metric

​
prompt
string

Updated Evaluator prompt for the metric

​
type
enum<string>

Type of the metric - "custom", "model" or "human"

Available options:
custom,
model,
human
​
enabled_in_prod
boolean

Whether to compute on all production events automatically

​
needs_ground_truth
boolean

Whether a ground truth (on metadata) is required to compute it

​
return_type
enum<string>

The data type of the metric value - "boolean", "float", "string"

Available options:
boolean,
float,
string
​
threshold
object

Threshold for numeric metrics to decide passing or failing in tests

​
pass_when
boolean

Threshold for boolean metrics to decide passing or failing in tests

​
event_name
string

Name of event that the metric is set to be computed on

​
event_type
enum<string>

Type of event that the metric is set to be computed on

Available options:
model,
tool,
chain,
session

Response

200

Metric updated successfully