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fix(cost-map): azure/gpt-6-astra accepts reasoning_effort none on Foundry
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4 changed files with 37 additions and 7 deletions
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@ -7192,7 +7192,7 @@
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"supports_max_reasoning_effort": true,
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"supports_minimal_reasoning_effort": false,
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"supports_native_streaming": true,
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"supports_none_reasoning_effort": false,
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"supports_none_reasoning_effort": true,
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"supports_parallel_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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@ -7458,7 +7458,7 @@
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"supports_max_reasoning_effort": true,
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"supports_minimal_reasoning_effort": false,
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"supports_native_streaming": true,
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"supports_none_reasoning_effort": false,
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"supports_none_reasoning_effort": true,
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"supports_parallel_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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@ -7192,7 +7192,7 @@
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"supports_max_reasoning_effort": true,
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"supports_minimal_reasoning_effort": false,
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"supports_native_streaming": true,
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"supports_none_reasoning_effort": false,
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"supports_none_reasoning_effort": true,
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"supports_parallel_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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@ -7458,7 +7458,7 @@
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"supports_max_reasoning_effort": true,
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"supports_minimal_reasoning_effort": false,
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"supports_native_streaming": true,
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"supports_none_reasoning_effort": false,
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"supports_none_reasoning_effort": true,
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"supports_parallel_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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@ -348,3 +348,31 @@ def test_azure_gpt_6_astra_takes_the_reasoning_series_request_shape():
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assert params["max_completion_tokens"] == 100
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assert "max_tokens" not in params
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assert params["reasoning_effort"] == "max"
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@pytest.mark.parametrize("model", ["azure/gpt-6-astra", "azure/us/gpt-6-astra"])
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def test_azure_gpt6_astra_reasoning_effort_none_unlocks_temperature(config: AzureOpenAIGPT5Config, model: str):
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"""Foundry's gpt-6-astra accepts reasoning_effort='none' and, only then, a non-default
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temperature (verified live against a Foundry deployment), unlike OpenAI's gpt-6-astra."""
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params = config.map_openai_params(
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non_default_params={"temperature": 0.2, "reasoning_effort": "none"},
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optional_params={},
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model=model,
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drop_params=False,
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api_version="2025-04-01-preview",
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)
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assert params["temperature"] == 0.2
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assert params["reasoning_effort"] == "none"
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@pytest.mark.parametrize("model", ["azure/gpt-6-astra", "azure/us/gpt-6-astra"])
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def test_azure_gpt6_astra_rejects_reasoning_effort_minimal(config: AzureOpenAIGPT5Config, model: str):
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"""Foundry's gpt-6-astra lists none, low, medium, high, xhigh and max but not minimal."""
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with pytest.raises(litellm.utils.UnsupportedParamsError):
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config.map_openai_params(
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non_default_params={"reasoning_effort": "minimal"},
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optional_params={},
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model=model,
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drop_params=False,
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api_version="2025-04-01-preview",
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)
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@ -390,14 +390,16 @@ class TestGpt6AstraAdvertisesItsDocumentedLevels:
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)
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@pytest.mark.parametrize("model", ["azure/gpt-6-astra", "azure/us/gpt-6-astra"])
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def test_a_foundry_deployment_advertises_the_same_levels(self, local_model_cost_map, model):
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"""Microsoft Foundry serves the same model, so an Azure deployment must offer low
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through max and never none, exactly like the OpenAI entry."""
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def test_a_foundry_deployment_also_advertises_none(self, local_model_cost_map, model):
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"""Microsoft Foundry serves the same model but its API accepts reasoning_effort none
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(verified live: 200 with zero reasoning tokens, and it unlocks temperature), which
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OpenAI's rejects, so an Azure deployment offers none on top of low through max."""
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from litellm.utils import _get_model_info_helper
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model_info = dict(_get_model_info_helper(model=model, custom_llm_provider="azure"))
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assert resolve_supported_reasoning_efforts(model_info, deployment_is_mapped=True) == (
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"none",
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"low",
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"medium",
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"high",
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