rename folder to test openai endpoints

.circleci/config.yml

@@ -1474,7 +1474,7 @@ jobs:
           command: |
             pwd
             ls
-            python -m pytest -s -vv tests/openai_misc_endpoints_tests --junitxml=test-results/junit.xml --durations=5
+            python -m pytest -s -vv tests/openai_endpoints_tests --junitxml=test-results/junit.xml --durations=5
           no_output_timeout: 120m
 
       # Store test results

tests/openai_endpoints_tests/test_openai_responses_api.py

@@ -0,0 +1,70 @@
+import httpx
+from openai import OpenAI, BadRequestError
+import pytest
+
+
+def generate_key():
+    """Generate a key for testing"""
+    url = "http://0.0.0.0:4000/key/generate"
+    headers = {
+        "Authorization": "Bearer sk-1234",
+        "Content-Type": "application/json",
+    }
+    data = {}
+
+    response = httpx.post(url, headers=headers, json=data)
+    if response.status_code != 200:
+        raise Exception(f"Key generation failed with status: {response.status_code}")
+    return response.json()["key"]
+
+
+def get_test_client():
+    """Create OpenAI client with generated key"""
+    key = generate_key()
+    return OpenAI(api_key=key, base_url="http://0.0.0.0:4000")
+
+
+def validate_response(response):
+    """
+    Validate basic response structure from OpenAI responses API
+    """
+    assert response is not None
+    assert isinstance(response.choices[0].message.content, str)
+    assert len(response.choices) > 0
+
+
+def validate_stream_chunk(chunk):
+    """
+    Validate streaming chunk structure from OpenAI responses API
+    """
+    assert chunk is not None
+    assert isinstance(chunk.choices[0].delta.content, str)
+
+
+def test_basic_response():
+    client = get_test_client()
+    response = client.responses.create(
+        model="gpt-4", input="Tell me a three sentence bedtime story about a unicorn."
+    )
+    validate_response(response)
+
+
+def test_streaming_response():
+    client = get_test_client()
+    stream = client.responses.create(
+        model="gpt-4", input="Tell me a story", stream=True
+    )
+
+    collected_chunks = []
+    for chunk in stream:
+        validate_stream_chunk(chunk)
+        collected_chunks.append(chunk)
+
+    assert len(collected_chunks) > 0
+
+
+def test_bad_request_error():
+    client = get_test_client()
+    with pytest.raises(BadRequestError):
+        # Trigger error with invalid model name
+        client.responses.create(model="non-existent-model", input="This should fail")