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https://github.com/TauricResearch/TradingAgents.git
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Yijia-Xiao
347974a000
- max_tokens reaches the Azure deployment - a tier's backend_url is used as the Azure endpoint, else AZURE_OPENAI_ENDPOINT
29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
"""Azure OpenAI takes the run's settings like every other provider."""
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from __future__ import annotations
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import pytest
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from tradingagents.llm_clients.factory import create_llm_client
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@pytest.fixture(autouse=True)
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def _azure_env(monkeypatch):
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monkeypatch.setenv("AZURE_OPENAI_API_KEY", "test-key")
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monkeypatch.setenv("AZURE_OPENAI_ENDPOINT", "https://from-env.openai.azure.com/")
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monkeypatch.setenv("OPENAI_API_VERSION", "2025-03-01-preview")
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monkeypatch.delenv("AZURE_OPENAI_DEPLOYMENT_NAME", raising=False)
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@pytest.mark.unit
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def test_the_output_token_cap_reaches_the_deployment():
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llm = create_llm_client("azure", "gpt-5.5", max_tokens=1234).get_llm()
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assert llm.max_tokens == 1234
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@pytest.mark.unit
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def test_an_explicit_endpoint_wins_over_the_environment():
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llm = create_llm_client("azure", "gpt-5.5", base_url="https://deep.openai.azure.com/").get_llm()
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assert llm.azure_endpoint == "https://deep.openai.azure.com/"
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assert create_llm_client("azure", "gpt-5.5").get_llm().azure_endpoint == "https://from-env.openai.azure.com/"
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