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test: split llm-core temperature tests (#4935)
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@@ -0,0 +1,34 @@
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"""Regression tests: Anthropic temperature clamping.
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Anthropic rejects temperature values outside [0.0, 1.0]. The payload builder
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must clamp the value to that range before sending rather than letting the API
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return HTTP 400.
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"""
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from src import llm_core
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def _anthropic_payload(temperature):
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return llm_core._build_anthropic_payload(
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"claude-3-5-sonnet",
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[{"role": "user", "content": "Hi"}],
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temperature,
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max_tokens=5,
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)
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def test_anthropic_payload_clamps_above_one():
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# Anthropic rejects temperature > 1.0 (e.g. the Nietzsche preset's 1.2).
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assert _anthropic_payload(1.2)["temperature"] == 1.0
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def test_anthropic_payload_keeps_in_range():
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assert _anthropic_payload(0.7)["temperature"] == 0.7
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def test_anthropic_payload_clamps_negative():
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assert _anthropic_payload(-0.5)["temperature"] == 0.0
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def test_anthropic_payload_none_temperature_does_not_crash():
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payload = _anthropic_payload(None)
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assert payload["temperature"] is None
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@@ -0,0 +1,100 @@
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"""Regression tests: Moonshot/Kimi temperature detection and payload behavior.
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Moonshot kimi-k2.5+ models reject custom temperature values; the payload
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builder must detect the Moonshot provider and omit temperature for the affected
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model family. Self-hosted Kimi deployments (non-Moonshot URL) must keep the
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caller-specified temperature unchanged.
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"""
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import httpx
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import pytest
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from src import llm_core
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@pytest.mark.parametrize(
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"model",
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[
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"kimi-k2.5",
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"kimi-k2.6",
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"moonshot/kimi-k2.6",
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"kimi-k2.6-preview",
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],
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)
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def test_moonshot_k2_5_plus_uses_fixed_temperature(model):
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assert llm_core._moonshot_rejects_custom_temperature("moonshot", model)
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@pytest.mark.parametrize(
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"provider,model",
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[
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("openai", "kimi-k2.6"),
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("moonshot", "kimi-k2-0905-preview"),
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("moonshot", "kimi-k2-thinking"),
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("moonshot", "kimi-k2.50"),
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("moonshot", None),
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],
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)
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def test_other_models_keep_temperature(provider, model):
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assert not llm_core._moonshot_rejects_custom_temperature(provider, model)
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@pytest.mark.parametrize(
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"url",
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[
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"https://api.moonshot.ai/v1/chat/completions",
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"https://api.moonshot.cn/v1/chat/completions",
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],
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)
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def test_moonshot_provider_detection(url):
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assert llm_core._detect_provider(url) == "moonshot"
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def _capture_openai_payload(
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monkeypatch,
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model,
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temperature,
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url="https://api.openai.com/v1/chat/completions",
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):
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"""Run a synchronous OpenAI-compatible call and return the posted JSON body."""
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llm_core._response_cache.clear()
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seen = {}
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def fake_post(url, headers=None, json=None, timeout=None):
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seen["json"] = json
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request = httpx.Request("POST", url)
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return httpx.Response(
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200,
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request=request,
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json={"choices": [{"message": {"content": "OK"}}]},
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)
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monkeypatch.setattr(llm_core.httpx, "post", fake_post)
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result = llm_core.llm_call(
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url,
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model,
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[{"role": "user", "content": "Say OK"}],
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temperature=temperature,
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max_tokens=5,
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)
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assert result == "OK"
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return seen["json"]
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def test_moonshot_k2_6_payload_omits_temperature(monkeypatch):
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payload = _capture_openai_payload(
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monkeypatch,
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"kimi-k2.6",
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0.7,
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url="https://api.moonshot.ai/v1/chat/completions",
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)
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assert "temperature" not in payload
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def test_self_hosted_kimi_k2_6_payload_keeps_temperature(monkeypatch):
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payload = _capture_openai_payload(
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monkeypatch,
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"kimi-k2.6",
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0.7,
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url="http://localhost:8000/v1/chat/completions",
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)
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assert payload["temperature"] == 0.7
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@@ -109,88 +109,3 @@ def test_chatgpt_subscription_payload_omits_max_output_tokens_when_zero():
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)
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assert "max_output_tokens" not in payload
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def _anthropic_payload(temperature):
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return llm_core._build_anthropic_payload(
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"claude-3-5-sonnet",
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[{"role": "user", "content": "Hi"}],
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temperature,
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max_tokens=5,
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)
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def test_anthropic_payload_clamps_above_one():
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# Anthropic rejects temperature > 1.0 (e.g. the Nietzsche preset's 1.2).
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assert _anthropic_payload(1.2)["temperature"] == 1.0
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def test_anthropic_payload_keeps_in_range():
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assert _anthropic_payload(0.7)["temperature"] == 0.7
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def test_anthropic_payload_clamps_negative():
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assert _anthropic_payload(-0.5)["temperature"] == 0.0
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def test_anthropic_payload_none_temperature_does_not_crash():
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payload = _anthropic_payload(None)
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assert payload["temperature"] is None
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@pytest.mark.parametrize(
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"model",
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[
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"kimi-k2.5",
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"kimi-k2.6",
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"moonshot/kimi-k2.6",
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"kimi-k2.6-preview",
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],
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)
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def test_moonshot_k2_5_plus_uses_fixed_temperature(model):
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assert llm_core._moonshot_rejects_custom_temperature("moonshot", model)
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@pytest.mark.parametrize(
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"provider,model",
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[
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("openai", "kimi-k2.6"),
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("moonshot", "kimi-k2-0905-preview"),
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("moonshot", "kimi-k2-thinking"),
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("moonshot", "kimi-k2.50"),
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("moonshot", None),
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],
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)
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def test_other_models_keep_temperature(provider, model):
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assert not llm_core._moonshot_rejects_custom_temperature(provider, model)
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@pytest.mark.parametrize(
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"url",
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[
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"https://api.moonshot.ai/v1/chat/completions",
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"https://api.moonshot.cn/v1/chat/completions",
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],
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)
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def test_moonshot_provider_detection(url):
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assert llm_core._detect_provider(url) == "moonshot"
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def test_moonshot_k2_6_payload_omits_temperature(monkeypatch):
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payload = _capture_openai_payload(
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monkeypatch,
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"kimi-k2.6",
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0.7,
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url="https://api.moonshot.ai/v1/chat/completions",
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)
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assert "temperature" not in payload
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def test_self_hosted_kimi_k2_6_payload_keeps_temperature(monkeypatch):
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payload = _capture_openai_payload(
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monkeypatch,
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"kimi-k2.6",
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0.7,
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url="http://localhost:8000/v1/chat/completions",
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)
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assert payload["temperature"] == 0.7
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