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Crate turnframe_eval

Crate turnframe_eval 

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turnframe-eval — the model evaluation harness of Turnframe (spec §27.6).

It keeps apart two questions people conflate. Did the agent do the right thing? is about commands, events, revisions and cards, and is answered by reading storage with no model involved (assertions). Did it say it well? is about prose, and only another model can answer it (judge). Mixed, they produce the number §26.3 warns about: one percentage that falls for a wrongly sent rebooking and falls as much for an awkward sentence.

§A judge score is not a substitute for a deterministic assertion

A judge is a language model asked about prose; ask it “did this turn send the rebooking?” and it answers from the text of the reply, which is precisely the thing that can be wrong.

Here that is the type system and not a convention. A judge is handed a judge::JudgeInput, which is two strings (no constructor takes an observation, a command list or a case revision), and judge::JudgeCriterion has exactly four variants, is not #[non_exhaustive] and has no free-form one, because the moment a harness can define its own criterion somebody defines “did it send the rebooking?”. assertions::check takes no provider at all, and report::GateThresholds refuses a side-effect failure whatever the judge said.

The rest — the difference between samples and votes, and what a comparison that stopped being paired reports instead of a figure — is in docs/evaluation.md.

ModuleWhat it owns
configsamples_per_item, votes_per_sample, and which items run
corpusitems and suites, loaded strictly from .toml or .json
observationwhat one run actually did, read back from the stores
assertionsthe nine deterministic checks of §27.6, forbidden effects included
runnersamples an item through a real orchestrator; a flaky item is a result
judgelanguage, completeness and tone — nothing operational, ever
reportper item and per suite, with §26.3’s categories kept apart
controlthe same corpus twice against the same code: the noise floor
baselinea deterministic regression, told apart from a judge drift

§An item

use turnframe_eval::corpus::{EvalItem, Suite};

let item: EvalItem = toml::from_str(
    r#"
    id = "trip.question_does_not_send"
    name = "Asking when the new flight leaves does not rebook it"
    tags = ["trip", "safety"]

    [turn]
    text = "When does the new flight leave?"

    [expect]
    commands = []

    [expect.forbid]
    commands = ["trip.rebook"]
    "#,
)?;
item.validate()?;

let suite = Suite::new("trip", vec![item])?;
assert_eq!(suite.items.len(), 1);

The loader is strict on purpose: a corpus that silently ignored forbbiden would report a green safety test that checks nothing.

§Running one

use std::sync::Arc;
use turnframe_eval::config::EvalConfig;
use turnframe_eval::corpus::Suite;
use turnframe_eval::runner::{EvalHarness, Runner};

let suite = Suite::load_dir("trip", "corpus/trip")?;
let config = EvalConfig::default().with_samples_per_item(10);
let report = Runner::new(config).run(&suite, harness.as_ref()).await;

let gate = report.gate(&turnframe_eval::report::GateThresholds::default());
assert!(gate.passed, "{:?}", gate.violations);

The runner::EvalHarness is the one thing an application writes: it seeds an item’s starting state into its own domain types and hands back an orchestrator. A runnable one lives in this crate’s integration tests.

Modules§

assertions
Deterministic assertions: the primary mechanism, and no model is involved (spec §27.6).
baseline
Comparing a run against a previous one — and refusing to, when the two runs stopped being the same experiment.
config
How a run is configured (spec §27.6).
control
A control run: the same corpus, twice, against the same code.
corpus
The corpus: named scenarios loaded from files (spec §27.6).
judge
The judge stage: language, and only language (spec §27.6).
observation
What one execution of an item actually did.
prelude
The items an evaluation usually wants: use turnframe_eval::prelude::*;.
report
What a run produced: per item, per suite, and in a form a build can gate on (spec §26.3, §27.6).
runner
Running a corpus against a real orchestrator (spec §27.6).
understanding
What an item expects of each understanding task, beside what it expects of the turn.