diff --git a/pyproject.toml b/pyproject.toml
index 5a36571e..f8e0a770 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,7 +39,8 @@ dev = [
     "pyfakefs",
     "requests_mock==1.11.0",
     "ruff",
-    "vcrpy>=6.0.0; python_version >= '3.8'"
+    "vcrpy>=6.0.0; python_version >= '3.8'",
+    "python-dotenv"
  ]
 ci = [
     "tach~=0.9",
diff --git a/tests/openai_handlers/test_openai_integration.py b/tests/openai_handlers/test_openai_integration.py
new file mode 100644
index 00000000..c2cf45f5
--- /dev/null
+++ b/tests/openai_handlers/test_openai_integration.py
@@ -0,0 +1,72 @@
+import pytest
+import agentops
+import asyncio
+from agentops import record_action
+from openai import OpenAI, AsyncOpenAI
+from dotenv import load_dotenv
+
+load_dotenv()
+
+@pytest.mark.integration
+def test_openai_integration():
+    """Integration test demonstrating all four OpenAI call patterns:
+    1. Sync (non-streaming)
+    2. Sync (streaming)
+    3. Async (non-streaming)
+    4. Async (streaming)
+    
+    Verifies that AgentOps correctly tracks all LLM calls via analytics.
+    """
+    # Initialize AgentOps without auto-starting session
+    agentops.init(auto_start_session=False)
+    session = agentops.start_session()
+
+    @record_action("openai-integration-sync-no-stream")
+    def sync_no_stream():
+        client = OpenAI()
+        client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello from sync no stream"}],
+        )
+
+    @record_action("openai-integration-sync-stream")
+    def sync_stream():
+        client = OpenAI()
+        stream_result = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello from sync streaming"}],
+            stream=True,
+        )
+        for _ in stream_result:
+            pass
+
+    @record_action("openai-integration-async-no-stream")
+    async def async_no_stream():
+        client = AsyncOpenAI()
+        await client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello from async no stream"}],
+        )
+
+    @record_action("openai-integration-async-stream")
+    async def async_stream():
+        client = AsyncOpenAI()
+        async_stream_result = await client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hello from async streaming"}],
+            stream=True,
+        )
+        async for _ in async_stream_result:
+            pass
+
+    # Call each function
+    sync_no_stream()
+    sync_stream()
+    asyncio.run(async_no_stream())
+    asyncio.run(async_stream())
+
+    session.end_session("Success")
+    analytics = session.get_analytics()
+    
+    # Verify that all LLM calls were tracked
+    assert analytics["LLM calls"] >= 4, f"Expected at least 4 LLM calls, but got {analytics['LLM calls']}"
diff --git a/tox.ini b/tox.ini
index 0a6c45bf..69df9cc6 100644
--- a/tox.ini
+++ b/tox.ini
@@ -31,6 +31,7 @@ deps =
     langchain-core
     langchain
     termcolor
+    python-dotenv
     -e .
 commands =
     coverage run --source . -m pytest