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Map Hermes xhigh→max to unlock DeepSeek V4's 'Max thinking' tier through Ollama Cloud's OpenAI-compatible /v1/chat/completions endpoint. low/medium/high pass through unchanged; disabled/none suppress reasoning entirely. Empirically confirmed: reasoning_effort:max produces ~2.5× more thinking tokens than high on deepseek-v4-pro:cloud (1576 vs 642).
153 lines
6.5 KiB
Python
153 lines
6.5 KiB
Python
"""Unit tests for the Ollama Cloud provider profile's reasoning-effort wiring.
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Ollama Cloud's ``/v1/chat/completions`` endpoint supports top-level
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``reasoning_effort`` with values ``none``, ``low``, ``medium``, ``high``,
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and (undocumented but empirically confirmed) ``max``. The profile maps
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Hermes's ``xhigh`` → ``max`` to unlock DeepSeek V4's "Max thinking" tier
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and passes the standard levels through unchanged.
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These tests pin the profile's wire-shape contract so Ollama Cloud
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requests carry the correct ``reasoning_effort`` field.
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"""
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from __future__ import annotations
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import pytest
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@pytest.fixture
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def ollama_cloud_profile():
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"""Resolve the registered Ollama Cloud profile.
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Going through ``providers.get_provider_profile`` keeps the test
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honest — if someone replaces the registered class with a plain
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``ProviderProfile``, every assertion below collapses.
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"""
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# ``model_tools`` triggers plugin discovery on import, which is what
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# registers the Ollama Cloud profile in the global provider registry.
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import model_tools # noqa: F401
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import providers
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profile = providers.get_provider_profile("ollama-cloud")
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assert profile is not None, "ollama-cloud provider profile must be registered"
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return profile
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class TestOllamaCloudReasoningEffort:
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"""``build_api_kwargs_extras`` emits correct top-level ``reasoning_effort``."""
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# ── xhigh / max → max ──────────────────────────────────────────
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@pytest.mark.parametrize("effort", ["xhigh", "max", "MAX", " Max "])
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def test_xhigh_and_max_normalize_to_max(self, ollama_cloud_profile, effort):
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extra_body, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort},
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)
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assert extra_body == {}
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assert top_level == {"reasoning_effort": "max"}
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# ── low / medium / high pass through ───────────────────────────
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@pytest.mark.parametrize("effort", ["low", "medium", "high"])
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def test_standard_efforts_pass_through(self, ollama_cloud_profile, effort):
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_, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": effort},
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)
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assert top_level == {"reasoning_effort": effort}
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# ── disabled → no reasoning_effort emitted ─────────────────────
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def test_explicitly_disabled_emits_nothing(self, ollama_cloud_profile):
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extra_body, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": False},
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)
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assert extra_body == {}
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assert top_level == {}
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def test_disabled_ignores_effort_field(self, ollama_cloud_profile):
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"""Effort silently dropped when thinking is off."""
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_, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": False, "effort": "high"},
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)
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assert top_level == {}
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# ── none effort → no reasoning_effort ──────────────────────────
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def test_none_effort_emits_nothing(self, ollama_cloud_profile):
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extra_body, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "none"},
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)
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assert extra_body == {}
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assert top_level == {}
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# ── missing / empty effort → let model default ─────────────────
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def test_no_reasoning_config_emits_nothing(self, ollama_cloud_profile):
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extra_body, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config=None,
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)
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assert extra_body == {}
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assert top_level == {}
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def test_empty_effort_emits_nothing(self, ollama_cloud_profile):
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_, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": ""},
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)
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assert top_level == {}
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def test_no_effort_key_emits_nothing(self, ollama_cloud_profile):
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"""When effort key is absent, let the model use its default."""
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_, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True},
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)
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assert top_level == {}
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# ── unknown effort → forwarded as-is ───────────────────────────
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def test_unknown_effort_forwarded(self, ollama_cloud_profile):
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_, top_level = ollama_cloud_profile.build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "ultra"},
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)
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assert top_level == {"reasoning_effort": "ultra"}
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class TestOllamaCloudFullKwargsIntegration:
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"""End-to-end: the transport's full kwargs include reasoning_effort."""
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def test_full_kwargs_with_xhigh(self, ollama_cloud_profile):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="deepseek-v4-pro:cloud",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=ollama_cloud_profile,
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reasoning_config={"enabled": True, "effort": "xhigh"},
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base_url="https://ollama.com/v1",
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provider_name="ollama-cloud",
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)
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assert kwargs["model"] == "deepseek-v4-pro:cloud"
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assert kwargs["reasoning_effort"] == "max"
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# No extra_body — Ollama Cloud uses top-level reasoning_effort
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assert "extra_body" not in kwargs or "reasoning" not in kwargs.get("extra_body", {})
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def test_full_kwargs_with_disabled(self, ollama_cloud_profile):
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from agent.transports.chat_completions import ChatCompletionsTransport
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kwargs = ChatCompletionsTransport().build_kwargs(
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model="deepseek-v4-pro:cloud",
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messages=[{"role": "user", "content": "ping"}],
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tools=None,
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provider_profile=ollama_cloud_profile,
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reasoning_config={"enabled": False},
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base_url="https://ollama.com/v1",
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provider_name="ollama-cloud",
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)
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assert "reasoning_effort" not in kwargs
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class TestOllamaCloudAuxModel:
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"""Ollama Cloud aux model is set on the profile."""
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def test_profile_advertises_aux_model(self, ollama_cloud_profile):
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assert ollama_cloud_profile.default_aux_model == "nemotron-3-nano:30b"
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