Current support
In the current SDK, full sessions are advanced workflows:- use
metric.input_format: "session" - typically run with
label_only_mode - are not part of the normal synthetic data generation path
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Work with full session-level Luna metrics across multi-turn conversations.
metric.input_format: "session"label_only_moderun_steps:
- data_generation
- training
pipeline_provider: "local"
metric_name: "custom"
data_generation:
metric:
name: "Action Completion"
type: "binary"
input_format: "session"
llmaj_source_prompt: "Determine whether the action is advancement or not."
source_data:
dataset:
source_type: "huggingface"
huggingface:
name: "action-completion-dataset"
labelling:
label_only_mode: true
output:
dataset:
repo_name: "action-completion-labelled"
training:
dataset:
name: "action-completion-labelled"
prompt_template: |
Determine whether the action is advancement or not.
Session:
{input}
Respond with "true" or "false".
output:
model_name: "action-completion-model"
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