- every 5.6 tier accepts effort "max" and reasoning.mode
"standard"/"pro" (GA docs: pro is a request mode on any GPT-5.6
model) -- drop the Sol-only gating
- GPT-5.6 deprecates prompt_cache_retention; send
prompt_cache_options={"ttl": "30m"} (its only supported lifetime)
and keep the 24h retention policy for pre-5.6 models
- never inject commercial cache params into local lanes: dropped from
the Chat Completions lane (which serves only openai-compatible and
google) and gated off the compat-pinned Responses lane -- a gpt-5*
served-model name is not an OpenAI account
- account cache writes: usage *_tokens_details.cache_write_tokens
flows into cache_creation_tokens (5.6 bills writes at 1.25x the
uncached input rate)
- drop non-string verbosity/reasoning_mode overrides with a warning
instead of raising on unhashable capability-JSON values
- keep ModelCapabilities' public positional prefix stable by appending
the verbosity/pro fields at the tail; pin it with a constructor test
- openai floor 2.44 -> 2.45, the first release with the typed
prompt_cache_options kwarg
(cherry picked from commit b450b9ad20)
Onboard the GPT-5.6 family (GA 2026-07-09) to the OpenAI Responses lane.
- Capability rows for gpt-5.6 (= Sol alias/catch-all), gpt-5.6-terra, and
gpt-5.6-luna: 1.05M context, 128K output, tool_search/vision/pdf/reasoning
replay, default effort medium, temperature only at effort=none.
- "max" reasoning effort, Sol-only; Terra/Luna cap at xhigh (the knob's "max"
snaps to the xhigh ceiling). First commercial OpenAI use of "max" — the
ordinal knob already ranked it, so no effort-ladder change was needed.
- Verbosity and pro mode as operator-declared capability fields
(supports_verbosity/verbosity, supports_pro_mode/reasoning_mode), merged
from the model-definition capabilities JSON and emitted on the Responses
wire as text.verbosity and reasoning.mode. Both are gated by a supports
flag plus an enum guard that drops unknown values with a warning. Pro mode
is Sol-only. There is no gpt-5.6-pro model — "pro" is the reasoning.mode
param, not a separate model id.
- Raise the openai floor to >=2.44 for the 5.6 Responses params.
Unit and wire-golden tests cover the rows, max->xhigh snapping, the two
levers, and the enum guards. Validated live against the OpenAI API: gpt-5.6
accepts the model id, effort "max", text.verbosity, and reasoning.mode="pro".
(cherry picked from commit 47f908c9e0)
The wire-payload golden matrix had no anthropic-compatible coverage —
both AnthropicProvider rows are the native lane (compat=False), so the
distinct compat wire shape (reasoning control in
extra_body.chat_template_kwargs, never the native thinking param) was
unfrozen. Add the compat lane across all eight representative fixtures
with a manual-mode capability (the lane has no static table, so caps
ride in as a model definition would supply them) and reasoning_effort=
high: every golden now pins {enable_thinking: true, reasoning_effort:
high} in chat_template_kwargs, asserts the native thinking param is
absent, and preserves temperature (no forced 1.0). _capture gains an
optional caps override to support the no-static-table lane.
Local lanes dropped the knob's graded value unless the operator declared
reasoning_effort_values (and, on the template channel, an effort key) —
picking Max sent a bare thinking toggle and the effort select
degenerated into seven positions that all meant 'on'. The user's
setting now always rides:
- openai-compatible: the flat reasoning_effort param carries the knob
verbatim (effort_passthrough on the lane default); declared values
still snap ordinally, and a declared effort_param still claims the
template channel and suppresses the flat param.
- anthropic-compatible: the graded value rides chat_template_kwargs
alongside the toggle whenever reasoning control is engaged — under
the operator's effort_param, else the conventional fallback key
(reasoning_effort); templates that don't reference the kwarg ignore
it. thinking_mode=none still injects nothing.
- Commercial lanes untouched: empty declared values still mean 'no
effort control' (o1-mini) and the ordinal snap is unchanged.
Golden writer now pins ensure_ascii=False: the baselines' literal em
dashes came from a hand edit (03f82521) the default-escaping writer
could never reproduce — regens no longer churn unrelated lines.
The Gemini effort fix (ee9e9c1f) adds a flat reasoning_effort to every
Google chat-completions request at the session default knob — the
golden fixtures now carry it. Only the eight google__* goldens change
(one added key each); other providers' goldens are untouched — the
UPDATE_WIRE_GOLDENS pass also wanted to rewrite twelve passing goldens
with escape-format-only churn (raw em-dash vs \u2014), reverted to
keep the diff semantic.
Follow-up to the cancellation review — harden how cancel interacts with a
workstream's OWN turn and tools, not just its children and agents.
- wait_for_workstream: the wait loop holds no cancel handle and blocks on the
child-event bus, so a cancelled coordinator parked in a wait stayed pinned
for up to WAIT_MAX_TIMEOUT (600s). Add a cooperative check to the ~2s
progress heartbeat — it raises GenerationCancelled, which propagates out of
the otherwise cancel-blind wait (~2s abort).
- spawn_batch: stop creating the rest of the children once cancel is observed;
already-spawned children stay recorded (they are live, durably parent-linked
workstreams), the remainder are marked not-spawned.
- session worker: only clear _worker_running if this thread is still the
current worker, so a late-finishing abandoned worker (force-cancel) can't
clobber a live successor's flag — which would let a third send spawn a
duplicate worker on the same session.
- bash silent-cancel: a SIGKILL'd silent command now records outcome-UNKNOWN
(is_error, partial output kept) instead of a clean "Cancelled by user." that
read as a successful empty result on replay.
- wire-repair: the last-resort orphan disposition now reads outcome-UNKNOWN,
matching the cooperative-cancel message (unknown, never none).
Deferred: MCP / web_fetch / web_search remain uninterruptible mid-call,
bounded by tool_timeout; only bash is truly preemptible.
Freeze the wire payload for an unanswered native tool_use whose id is
mirrored top-level in tool_calls (the P1 invariant). This pins the
verbatim-replay orphan path each provider repairs today — Anthropic via
the provider_content tool_use synthesis, the OpenAI-compatible lane via
sanitize_messages — as the baseline the repair-unification change is
proven byte-identical against.
Captures the exact request kwargs each provider hands to its SDK seam (Anthropic
messages.stream, OpenAI chat/responses create, Google OpenAI-compat) for a
representative set of trajectories, asserted against committed goldens. This is the
behavior-equivalence net the canonical-trajectory wire-shape refactor is proven
against. Regenerate the baseline with UPDATE_WIRE_GOLDENS=1.
Patrick Buckley