Refactor: Move backend files to backend/ directory and split .gitignore

backend/tests/test_llm_factory.py

@@ -0,0 +1,54 @@
+import pytest
+from langchain_openai import ChatOpenAI
+from langchain_google_genai import ChatGoogleGenerativeAI
+from ea_chatbot.config import LLMConfig
+from ea_chatbot.utils.llm_factory import get_llm_model
+
+def test_get_openai_model(monkeypatch):
+    """Test creating an OpenAI model."""
+    monkeypatch.setenv("OPENAI_API_KEY", "dummy")
+    config = LLMConfig(
+        provider="openai",
+        model="gpt-4o",
+        temperature=0.5,
+        max_tokens=100
+    )
+    model = get_llm_model(config)
+    assert isinstance(model, ChatOpenAI)
+    assert model.model_name == "gpt-4o"
+    assert model.temperature == 0.5
+    assert model.max_tokens == 100
+
+def test_get_google_model(monkeypatch):
+    """Test creating a Google model."""
+    monkeypatch.setenv("GOOGLE_API_KEY", "dummy")
+    config = LLMConfig(
+        provider="google",
+        model="gemini-1.5-pro",
+        temperature=0.7
+    )
+    model = get_llm_model(config)
+    assert isinstance(model, ChatGoogleGenerativeAI)
+    assert model.model == "gemini-1.5-pro"
+    assert model.temperature == 0.7
+
+def test_unsupported_provider():
+    """Test that an unsupported provider raises an error."""
+    config = LLMConfig(provider="unknown", model="test")
+    with pytest.raises(ValueError, match="Unsupported LLM provider: unknown"):
+        get_llm_model(config)
+
+def test_provider_specific_params(monkeypatch):
+    """Test passing provider specific params."""
+    monkeypatch.setenv("OPENAI_API_KEY", "dummy")
+    config = LLMConfig(
+        provider="openai",
+        model="o1-preview",
+        provider_specific={"reasoning_effort": "high"}
+    )
+    # Note: reasoning_effort support depends on the langchain-openai version, 
+    # but we check if kwargs are passed.
+    model = get_llm_model(config)
+    assert isinstance(model, ChatOpenAI)
+    # Check if reasoning_effort was passed correctly
+    assert getattr(model, "reasoning_effort", None) == "high"