mirror of
https://github.com/turnstonelabs/turnstone.git
synced 2026-08-12 23:12:23 -06:00
Patrick Buckley
b6391d1f90
Round-2 review fixes. The round-1 de-pinning collided with
ConfigStore.get's default-on-miss semantics: the registry defaults
(temperature 1.0, effort "medium") were manufactured onto every
store-backed lane's wire, making the documented "unset -> omit"
terminal unreachable. Unset is now representable end to end, and one
scheme governs every lane: per-model alias value > operator-stored
global setting > in-code model definition (effort only: caps
declaration) > field omitted, inference engine's default rules.
- settings_registry: model.temperature default None, model.reasoning_effort
default "" — the registered defaults ARE the unset sentinels, so the
admin UI and the wire agree. Admin webux renders nullable floats blank
("(inherit model default)") and maps blank-save to reset; the "" effort
choice reads "(inherit)".
- model_turn: resolve_temperature_setting/resolve_effort_setting are the
ONE pair of operator-rung resolvers, shared by resolve_lane, both
session factories, and the /model switch (the 4th-copy mirror is gone;
the switch no longer leaks the previous model's override on store-less
sessions). The caps rung moved out of the lane into model_turn's
effective computation, below a new request-shaped default_reasoning_effort
parameter (utility + output guard pass "low": budget coherence with
their small token caps, not sampling policy — any operator or
model-definition value beats it). The hidden "medium" terminal is gone.
- providers: Protocol + all adapters take reasoning_effort: str | None =
None (the Protocol-signature "medium" was the same manufactured pin one
layer down); ModelCapabilities.default_reasoning_effort defaults "" —
commercial rows all declare theirs explicitly, so only local lanes and
Anthropic change, both to match their real serving defaults (Anthropic
manual-thinking models no longer get implicit thinking-on-medium).
reasoning_template_kwargs distinguishes unset (inject nothing; template
default rules) from the explicit "none" off-switch. apply_temperature
skips temperature unless reasoning is EXPLICITLY off on none-declaring
models (unset leaves the server default in charge, possibly reasoning-on).
- session: ctor takes temperature: float | None / reasoning_effort:
str | None = None; _save_config/resume round-trip unset as "" (the
str(None) era guarded); _run_agent relays session temperature AND
effort on the same-alias fall-through only (a task alias's configured
knobs stay reachable in both directions).
- optimizer: the five meta lanes are decoupled from --temperature/
--reasoning-effort (test-model knobs, per their documented meaning);
registry-less meta lanes omit both fields.
- cli: --temperature/--reasoning-effort default unset and fall through
the model config instead of pinning 0.5/"medium" for every CLI session.
- cleanup from the review's below-cap findings: dead resolve_server_type
deleted (tests re-pointed at _server_type_of), stale ChatSession
comments in _openai_responses fixed, _store_get_or_none extracted,
eval system-turn conversion hoisted out of the per-turn loop, dead
_provider_extra_params patch removed, test_perception uses the shared
mock_completion_result, effort_ladder uses apply_capability_overrides
instead of a SimpleNamespace fake config.
Wire goldens regenerated: the only drift is the manufactured "medium"
effort vanishing from unset-effort requests (Responses reasoning.effort,
Chat/Google reasoning_effort, Anthropic output_config.effort) — pure
removals, no additions. Ladder tests now fake ConfigStore with the REAL
get() semantics (registry default on miss) so a forgiving fake can't
mask this class of bug again.
28 lines
498 B
JSON
28 lines
498 B
JSON
{
|
|
"include": [
|
|
"reasoning.encrypted_content"
|
|
],
|
|
"input": [
|
|
{
|
|
"content": "Hi there.",
|
|
"role": "user",
|
|
"type": "message"
|
|
},
|
|
{
|
|
"content": "Hello! How can I help?",
|
|
"role": "assistant",
|
|
"type": "message"
|
|
},
|
|
{
|
|
"content": "What's the weather in Paris?",
|
|
"role": "user",
|
|
"type": "message"
|
|
}
|
|
],
|
|
"max_output_tokens": 4096,
|
|
"model": "gpt-5",
|
|
"prompt_cache_retention": "24h",
|
|
"store": false,
|
|
"stream": true
|
|
}
|