fix: trim DeepInfra reasoning salvage to the invariant and document it

Follow-up to the cherry-picked #111876 (@KoNit-K), which shares the design
of the earlier #111875 by the issue author (@ats3v): emit DeepInfra's
top-level ``reasoning_effort`` from the provider profile, ungated on
``supports_reasoning``, ``none`` as the only off switch, ``xhigh`` native,
``ultra`` clamped to ``max`` via the shared vocabulary, unset/unknown omitted.

- drop the constructor/blank-line reformat churn (byte-identical to main)
- replace the 14-case test file with two invariant tests: the profile's
  config -> top-level field table, and the transport main-turn path with
  ``supports_reasoning=False`` (the gate the core allowlist actually passes)
- docs: DeepInfra subsection in integrations/providers.md describing the
  two-directional reasoning control

Offline kwargs probe: before every reasoning_config -> ({}, {}) and the
main turn carried no reasoning field; after ``high`` -> ``reasoning_effort:
high``, ``{'enabled': False}`` -> ``none``, ``ultra`` -> ``max``, unset and
unknown levels omitted, aux calls stop emitting the generic
``extra_body.reasoning`` for this provider.

Co-authored-by: Georgi Atsev <georgi@deepinfra.com>
This commit is contained in:
teknium1
2026-09-15 12:20:59 -07:00
committed by Teknium
parent 4fe3d288eb
commit b027a4658e
3 changed files with 60 additions and 81 deletions
+12 -27
View File
@@ -3,11 +3,7 @@ their own plugin subsystems)."""
from typing import Any
from agent.reasoning_effort import (
OPENAI_COMPAT_WIRE_EFFORTS,
clamp_effort,
requested_effort,
)
from agent.reasoning_effort import OPENAI_COMPAT_WIRE_EFFORTS, clamp_effort, requested_effort
from providers import register_provider
from providers.base import ProviderProfile
@@ -19,25 +15,19 @@ class _DeepInfraProfile(ProviderProfile):
def build_api_kwargs_extras(
self, *, reasoning_config: dict | None = None, **context: Any
) -> tuple[dict[str, Any], dict[str, Any]]:
"""Map Hermes reasoning controls to DeepInfra's top-level wire field.
"""Map Hermes reasoning controls to DeepInfra's top-level ``reasoning_effort``.
DeepInfra applies a per-model default when the field is absent, while
``none`` is its explicit off switch. This route does not advertise a
reasoning capability to the shared transport, so it must not be gated
on ``supports_reasoning``.
DeepInfra applies a per-model default when the field is absent (DeepSeek-V4.x off,
GLM/Qwen-Thinking on), so ``none`` is the only working off switch and an unset effort
is omitted rather than guessed. The core ``_supports_reasoning_extra_body`` allowlist
does not know this host, so the transport always passes ``supports_reasoning=False``
here — gating on it would make the method a permanent no-op (#111872).
"""
if (
isinstance(reasoning_config, dict)
and reasoning_config.get("enabled") is False
):
if isinstance(reasoning_config, dict) and reasoning_config.get("enabled") is False:
return {}, {"reasoning_effort": "none"}
effort = requested_effort(reasoning_config)
clamped = clamp_effort(effort, OPENAI_COMPAT_WIRE_EFFORTS)
return (
({}, {"reasoning_effort": clamped})
if clamped in OPENAI_COMPAT_WIRE_EFFORTS
else ({}, {})
)
return ({}, {"reasoning_effort": clamped}) if clamped in OPENAI_COMPAT_WIRE_EFFORTS else ({}, {})
def default_vision_model(self): # type: ignore[override]
"""First vision-capable *chat* model from the live catalog, or None. Key-gated so a box
@@ -49,7 +39,6 @@ class _DeepInfraProfile(ProviderProfile):
return None
try:
from hermes_cli.models import _fetch_deepinfra_models_by_tag
items = _fetch_deepinfra_models_by_tag("chat")
except Exception:
return None
@@ -62,13 +51,9 @@ class _DeepInfraProfile(ProviderProfile):
deepinfra = _DeepInfraProfile(
name="deepinfra",
aliases=("deep-infra", "deepinfra-ai"),
display_name="DeepInfra",
description="DeepInfra — 100+ open models, pay-per-use",
signup_url="https://deepinfra.com/dash/api_keys",
env_vars=("DEEPINFRA_API_KEY", "DEEPINFRA_BASE_URL"),
base_url="https://api.deepinfra.com/v1/openai",
name="deepinfra", aliases=("deep-infra", "deepinfra-ai"), display_name="DeepInfra",
description="DeepInfra — 100+ open models, pay-per-use", signup_url="https://deepinfra.com/dash/api_keys",
env_vars=("DEEPINFRA_API_KEY", "DEEPINFRA_BASE_URL"), base_url="https://api.deepinfra.com/v1/openai",
auth_type="api_key",
default_max_tokens=None, # DeepInfra applies its documented per-model limit
# The only hardcoded DeepInfra model: aux resolution is synchronous, so it