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refactor: human feedback doesn't need to check enough context (#423)

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DanielWalnut
2025-07-15 18:51:41 +08:00
committed by GitHub
parent 0f118fda92
commit 448001f532
3 changed files with 24 additions and 8 deletions
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20
tests/unit/llms/test_llm.py
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@@ -28,6 +28,11 @@ def dummy_conf():
def test_get_env_llm_conf(monkeypatch):
# Clear any existing environment variables that might interfere
monkeypatch.delenv("BASIC_MODEL__API_KEY", raising=False)
monkeypatch.delenv("BASIC_MODEL__BASE_URL", raising=False)
monkeypatch.delenv("BASIC_MODEL__MODEL", raising=False)
monkeypatch.setenv("BASIC_MODEL__API_KEY", "env_key")
monkeypatch.setenv("BASIC_MODEL__BASE_URL", "http://env")
conf = llm._get_env_llm_conf("basic")
@@ -36,6 +41,9 @@ def test_get_env_llm_conf(monkeypatch):
def test_create_llm_use_conf_merges_env(monkeypatch, dummy_conf):
# Clear any existing environment variables that might interfere
monkeypatch.delenv("BASIC_MODEL__BASE_URL", raising=False)
monkeypatch.delenv("BASIC_MODEL__MODEL", raising=False)
monkeypatch.setenv("BASIC_MODEL__API_KEY", "env_key")
result = llm._create_llm_use_conf("basic", dummy_conf)
assert isinstance(result, DummyChatOpenAI)
@@ -43,12 +51,22 @@ def test_create_llm_use_conf_merges_env(monkeypatch, dummy_conf):
assert result.kwargs["base_url"] == "http://test"
def test_create_llm_use_conf_invalid_type(dummy_conf):
def test_create_llm_use_conf_invalid_type(monkeypatch, dummy_conf):
# Clear any existing environment variables that might interfere
monkeypatch.delenv("BASIC_MODEL__API_KEY", raising=False)
monkeypatch.delenv("BASIC_MODEL__BASE_URL", raising=False)
monkeypatch.delenv("BASIC_MODEL__MODEL", raising=False)
with pytest.raises(ValueError):
llm._create_llm_use_conf("unknown", dummy_conf)
def test_create_llm_use_conf_empty_conf(monkeypatch):
# Clear any existing environment variables that might interfere
monkeypatch.delenv("BASIC_MODEL__API_KEY", raising=False)
monkeypatch.delenv("BASIC_MODEL__BASE_URL", raising=False)
monkeypatch.delenv("BASIC_MODEL__MODEL", raising=False)
with pytest.raises(ValueError):
llm._create_llm_use_conf("basic", {})