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test(anthropic): force LITELLM_LOCAL_MODEL_COST_MAP for new max-effort tests
CI fetches model_prices_and_context_window.json from `main` at runtime, so the new `supports_max_reasoning_effort` flags added in this PR are not yet visible to the live CI run. Mirror the established pattern from `tests/litellm_utils_tests/test_utils.py::test_supports_reasoning`: set LITELLM_LOCAL_MODEL_COST_MAP=True and reload `litellm.model_cost` inside each new accept-test, so they read the model-map version that is in this same PR. Affected tests: * test_max_effort_accepted_for_opus_46 * test_max_effort_accepted_for_opus_47 * test_max_effort_accepted_for_sonnet_46 Locally verified: 137 / 137 pass in test_anthropic_chat_transformation.py
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1 changed files with 16 additions and 3 deletions
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@ -1653,9 +1653,7 @@ def test_max_effort_rejected_for_opus_45():
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messages = [{"role": "user", "content": "Test"}]
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with pytest.raises(
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ValueError, match="effort='max' is not supported by this model"
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):
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with pytest.raises(ValueError, match="effort='max' is not supported by this model"):
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optional_params = {"output_config": {"effort": "max"}}
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config.transform_request(
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model="claude-opus-4-5-20251101",
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@ -2219,6 +2217,11 @@ def test_max_effort_accepted_for_sonnet_46():
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> The ``max`` effort level is available on Claude Mythos Preview,
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> Claude Opus 4.7, Claude Opus 4.6, and Claude Sonnet 4.6.
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"""
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import litellm
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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config = AnthropicConfig()
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messages = [{"role": "user", "content": "Test"}]
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@ -2235,6 +2238,11 @@ def test_max_effort_accepted_for_sonnet_46():
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def test_max_effort_accepted_for_opus_46():
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"""Test that effort='max' works for Opus 4.6."""
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import litellm
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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config = AnthropicConfig()
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messages = [{"role": "user", "content": "Test"}]
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@ -2256,6 +2264,11 @@ def test_max_effort_accepted_for_opus_47():
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``claude-opus-4-7-*`` models. The previous hardcoded ``_is_opus_4_6_model``
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guard rejected the request before it ever reached Anthropic.
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"""
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import litellm
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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config = AnthropicConfig()
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messages = [{"role": "user", "content": "Test"}]
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