open-swe/agent/dashboard/options.py
Johannes du Plessis 4e6c445246
feat: upgrade default agent + reviewer model to Opus 4.8 (#1350)
* feat: upgrade default agent + reviewer model to Opus 4.8

Replace Opus 4.7 with Opus 4.8 (claude-opus-4-8) as the supported
Anthropic model surfaced in the profile editor and used by the main
agent and reviewer graphs. Effort levels (low/medium/high/xhigh/max)
and the high default are unchanged, matching the official Opus 4.8
docs. Updates eval config comment and tests accordingly.

* fix: provider-aware fallback for stale stored model ids

Dropping claude-opus-4-7 from the supported set meant persisted
profile/team-settings still holding it failed the SUPPORTED_MODEL_IDS
check and fell through to default_model_pair() — a cross-provider jump
to the OpenAI global default.

Add provider_fallback_pair: when a stored id is no longer supported but
its provider still has a supported model, resolve to that provider's
newest supported model (anthropic:claude-opus-4-7 -> 4.8), preserving
effort when valid. Resolution order is now: valid stored pair ->
same-provider fallback -> global default_model_pair(). Profile overrides
keep deferring to the team default when no model is set or the provider
is unknown.
2026-05-28 10:59:29 -07:00

76 lines
2.4 KiB
Python

"""Supported models and reasoning efforts surfaced in the profile editor."""
from __future__ import annotations
from typing import TypedDict
class ModelOption(TypedDict):
id: str
label: str
efforts: list[str]
default_effort: str
SUPPORTED_MODELS: list[ModelOption] = [
{
"id": "anthropic:claude-opus-4-8",
"label": "Opus 4.8",
"efforts": ["low", "medium", "high", "xhigh", "max"],
"default_effort": "high",
},
{
"id": "openai:gpt-5.5",
"label": "GPT-5.5",
"efforts": ["low", "medium", "high", "xhigh"],
"default_effort": "xhigh",
},
]
SUPPORTED_MODEL_IDS: frozenset[str] = frozenset(m["id"] for m in SUPPORTED_MODELS)
DEFAULT_MODEL_ID: str = "openai:gpt-5.5"
DEFAULT_MODEL_EFFORT: str = "medium"
def model_supports_effort(model_id: str, effort: str) -> bool:
for m in SUPPORTED_MODELS:
if m["id"] == model_id:
return effort in m["efforts"]
return False
def _provider_of(model_id: str) -> str | None:
provider, _, rest = model_id.partition(":")
return provider if rest else None
def provider_fallback_pair(model_id: object, effort: object = None) -> tuple[str, str] | None:
"""Newest supported ``(model_id, effort)`` for the same provider as ``model_id``.
Keeps a stored selection on its original provider when its exact id has
dropped out of the supported set (e.g. an Opus minor-version bump), instead
of falling through to the cross-provider global default. Preserves ``effort``
when the fallback model supports it, otherwise uses that model's default
effort. Returns ``None`` when no supported model shares the provider.
"""
if not isinstance(model_id, str):
return None
provider = _provider_of(model_id)
if provider is None:
return None
for m in SUPPORTED_MODELS:
if _provider_of(m["id"]) == provider:
new_effort = effort if (isinstance(effort, str) and effort in m["efforts"]) else None
return m["id"], new_effort or m["default_effort"]
return None
def default_model_pair() -> tuple[str, str]:
"""Hardcoded fallback (model_id, reasoning_effort) used when no team default is set."""
if DEFAULT_MODEL_ID in SUPPORTED_MODEL_IDS and model_supports_effort(
DEFAULT_MODEL_ID, DEFAULT_MODEL_EFFORT
):
return DEFAULT_MODEL_ID, DEFAULT_MODEL_EFFORT
first = SUPPORTED_MODELS[0]
return first["id"], first["default_effort"]