Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license

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2026-09-05 13:26:46 +03:00
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"""Ollama Cloud provider profile.
Ollama Cloud's OpenAI-compatible ``/v1/chat/completions`` endpoint
supports top-level ``reasoning_effort`` with values ``none``, ``low``,
``medium``, ``high``, and ``max`` (the last being undocumented but
empirically confirmed for DeepSeek V4 — ``max`` produces ~2.5× more
thinking tokens than ``high``).
This profile maps Hermes's ``xhigh`` → ``max`` to unlock DeepSeek V4's
"Max thinking" tier through Ollama Cloud. ``low`` / ``medium`` / ``high``
pass through unchanged.
When reasoning is explicitly disabled (``enabled: false`` or
``effort: "none"``), ``reasoning_effort`` is omitted entirely so the
model runs in non-thinking mode.
"""
from __future__ import annotations
from typing import Any
from providers import register_provider
from providers.base import ProviderProfile
class OllamaCloudProfile(ProviderProfile):
"""Ollama Cloud — maps xhigh→max via top-level reasoning_effort."""
def build_api_kwargs_extras(
self,
*,
reasoning_config: dict | None = None,
supports_reasoning: bool = False,
**ctx: Any,
) -> tuple[dict[str, Any], dict[str, Any]]:
"""Emit top-level ``reasoning_effort`` for Ollama Cloud thinking models.
Gated on ``supports_reasoning``, which the transport resolves from the
model's native ``/api/show`` ``capabilities`` (``thinking``). Models
without the thinking capability (e.g. ``gemma3``, ``qwen3-coder``) get
no ``reasoning_effort`` at all — emitting it there is a no-op the API
ignores, and gating avoids sending a meaningless field.
"""
top_level: dict[str, Any] = {}
if not supports_reasoning:
return {}, {}
if reasoning_config and isinstance(reasoning_config, dict):
enabled = reasoning_config.get("enabled", True)
if enabled is False:
# Ollama Cloud defaults to thinking ON, and ignores the
# extra_body.thinking:{type:disabled} shape (verified live).
# The ONLY way to actually suppress thinking on its
# /v1/chat/completions endpoint is top-level
# reasoning_effort:"none" — omitting the field leaves
# thinking on.
return {}, {"reasoning_effort": "none"}
effort = (reasoning_config.get("effort") or "").strip().lower()
if not effort:
# No explicit effort requested — let the model decide
# (Ollama Cloud's server default is thinking ON).
return {}, {}
if effort == "none":
return {}, {"reasoning_effort": "none"} # explicit off switch
# Accepted set {none, low, medium, high, max} is declared in
# agent.reasoning_effort ("minimal" is rejected with HTTP 400 →
# clamps to low; xhigh rounds up to max). Bespoke levels outside
# the ladder are omitted so the model applies its own default
# rather than triggering a hard 400.
from agent.reasoning_effort import (
OLLAMA_CLOUD_EFFORTS,
OLLAMA_CLOUD_OVERRIDES,
clamp_effort,
)
clamped = clamp_effort(
effort, OLLAMA_CLOUD_EFFORTS, OLLAMA_CLOUD_OVERRIDES
)
if clamped in OLLAMA_CLOUD_EFFORTS:
top_level["reasoning_effort"] = clamped
return {}, top_level
ollama_cloud = OllamaCloudProfile(
name="ollama-cloud",
aliases=("ollama_cloud",),
default_aux_model="nemotron-3-nano:30b",
env_vars=("OLLAMA_API_KEY",),
base_url="https://ollama.com/v1",
)
register_provider(ollama_cloud)
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name: ollama-cloud-provider
kind: model-provider
version: 1.0.0
description: Ollama Cloud
author: Nous Research