Ilker ManapandClaude Opus 5.5
f0477f140d
A suite is a set of cases in YAML or JSON lines, each scored by exact, contains, regex, a number within a tolerance, a JSON Schema subset, or a judge model with a rubric; weighed into one score against a threshold. internal/bench/eval runs one on the control plane through Router.Replay, as the gateway's own requests, and keeps every run and its cases in the store (migration 0028: eval_runs, eval_cases). - llmgw ctl eval MODEL --suite FILE|NAME, --history, --run, --suites; exits non-zero below the score. Suites by name from control.eval_dir, or the two built in from deploy/eval (arithmetic, json-format). - model update and promote take --eval SUITE --min-score N, or a model's standing gate (ctl model gate, eval: in the catalog): a promote asks the canary first and leaves it below the score; an update tries the new weights as a canary given no share, then promotes or removes it. - The console's model menu: ask a suite with its progress, its runs, its gate. - The audit middleware no longer hands a handler a body cut off at 64 KiB. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
95 lines
2.9 KiB
YAML
95 lines
2.9 KiB
YAML
# Following a format: asked for JSON of a given shape, does the model give
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# it — the thing an application parsing its answers depends on, and the
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# first to go when a chat template drifts. Each answer is read as JSON (a
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# code fence or a sentence around it is forgiven) and held to a schema.
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#
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# llmgw ctl eval MODEL --suite json-format
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#
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# Copy it into control.eval_dir (/etc/llmgw/eval) to change it; a suite
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# there of the same name replaces this one.
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name: json-format
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description: Answers asked for as JSON of a given shape, held to a schema.
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threshold: 0.7
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system: You answer with a single JSON value and nothing else.
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max_tokens: 200
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cases:
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- id: person
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prompt: >-
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Give a JSON object for a person named Ada Lovelace, born in 1815, with the
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keys "name" (a string) and "born" (a number).
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json_schema:
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type: object
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required: [name, born]
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properties:
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name: {type: string, pattern: "Ada"}
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born: {type: integer, minimum: 1815, maximum: 1815}
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- id: list-of-colours
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prompt: Give a JSON array of exactly three colour names, as strings.
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json_schema:
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type: array
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minItems: 3
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maxItems: 3
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items: {type: string, minLength: 1}
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- id: boolean-answer
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prompt: >-
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Is water wet? Answer as a JSON object with one key, "answer", whose
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value is true or false.
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json_schema:
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type: object
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required: [answer]
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properties:
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answer: {type: boolean}
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- id: nested
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prompt: >-
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Give a JSON object describing a book: "title" (a string), "author" (an
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object with "first" and "last", both strings) and "pages" (a whole number
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above zero). Use any book.
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json_schema:
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type: object
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required: [title, author, pages]
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properties:
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title: {type: string, minLength: 1}
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author:
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type: object
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required: [first, last]
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properties:
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first: {type: string}
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last: {type: string}
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pages: {type: integer, exclusiveMinimum: 0}
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weight: 2
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- id: enum-choice
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prompt: >-
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Classify the sentence "I love this product!" as positive, negative or
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neutral. Answer as a JSON object {"sentiment": "..."} using one of those
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three words in lower case.
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json_schema:
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type: object
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required: [sentiment]
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properties:
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sentiment: {enum: [positive]}
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weight: 2
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- id: numbers
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prompt: 'Give a JSON object {"sum": N} where N is the sum of 4, 5 and 6.'
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json_schema:
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type: object
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required: [sum]
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properties:
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sum: {const: 15}
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- id: no-extra-keys
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prompt: >-
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Give a JSON object with exactly two keys, "city" and "country", for
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Paris. No other keys.
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json_schema:
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type: object
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required: [city, country]
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additionalProperties: false
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properties:
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city: {type: string}
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country: {type: string}
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