langfuse_client/metrics

GET /api/public/v2/metrics — server-side aggregations over Langfuse score data. Build a query with score_count_query and pass it to list_score_counts(client, query).

The Langfuse v2 metrics endpoint is BETA. This module exposes only score-count queries grouped by (name, dataType, source); broader surface (other measures, views, dimensions) will follow the same shape once the endpoint stabilises.

Types

Filters for list_score_counts. Build with score_count_query and pass to list_score_counts. Window is [from_timestamp, to_timestamp) in ISO 8601.

pub type ScoreCountQuery {
  ScoreCountQuery(
    view: ScoreView,
    from_timestamp: String,
    to_timestamp: String,
  )
}

Constructors

  • ScoreCountQuery(
      view: ScoreView,
      from_timestamp: String,
      to_timestamp: String,
    )

One row of the data array: the count of scores grouped by the (name, data_type, source) triple. count is the sum_count measure decoded from its string representation.

pub type ScoreCountRow {
  ScoreCountRow(
    name: String,
    data_type: String,
    source: String,
    count: Int,
  )
}

Constructors

  • ScoreCountRow(
      name: String,
      data_type: String,
      source: String,
      count: Int,
    )

Which family of scores to aggregate over.

  • ScoresNumeric covers NUMERIC and BOOLEAN scores.
  • ScoresCategorical covers CATEGORICAL scores.
pub type ScoreView {
  ScoresNumeric
  ScoresCategorical
}

Constructors

  • ScoresNumeric
  • ScoresCategorical

Values

pub fn decode(
  body: String,
) -> Result(List(ScoreCountRow), json.DecodeError)

Parse a GET /api/public/v2/metrics response body for a score-count query. Useful if you already have the raw body in hand (e.g. from a cached/recorded response).

pub fn list_score_counts(
  c: client.Client,
  q: ScoreCountQuery,
) -> Result(List(ScoreCountRow), client.Error)

Aggregate score counts for the query. Returns one row per distinct (name, data_type, source) combination present in the window. Erlang-only — see langfuse_client/client module docs.

pub fn score_count_query(
  view view: ScoreView,
  from from_timestamp: String,
  to to_timestamp: String,
) -> ScoreCountQuery

Build a query for counts of scores grouped by (name, data_type, source) in the given window.

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