fix: adding header and query

.vscode/settings.json

@@ -0,0 +1,7 @@
+{
+    "python.testing.pytestArgs": [
+        "py"
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true
+}

py/autoevals/oai.py

@@ -1,4 +1,5 @@
 import asyncio
+import json
 import os
 import sys
 import textwrap
@@ -145,6 +146,51 @@ def prepare_openai(client: Optional[LLMClient] = None, is_async=False, api_key=N
         # This is the new v1 API
         is_v1 = True
 
+        default_headers = {}
+        default_query = {}
+
+        # Get headers from environment variables
+        if os.environ.get("OPENAI_DEFAULT_HEADERS"):
+            try:
+                default_headers = json.loads(os.environ.get("OPENAI_DEFAULT_HEADERS"))
+            except json.JSONDecodeError as e:
+                print(f"Error parsing OPENAI_DEFAULT_HEADERS: {e}")
+                default_headers = {}
+
+        # Get query params from environment variables
+        if os.environ.get("OPENAI_DEFAULT_QUERY"):
+            try:
+                default_query = json.loads(os.environ.get("OPENAI_DEFAULT_QUERY"))
+            except json.JSONDecodeError as e:
+                print(f"Error parsing OPENAI_DEFAULT_QUERY: {e}")
+                default_query = {}
+
+        # Add request source tracking header
+        default_headers["X-Request-Source"] = "autoevals"
+
+        print(f"default_headers: {default_headers}")
+        print(f"default_query: {default_query}")
+
+        if is_async:
+            openai_obj = openai.AsyncOpenAI(
+                api_key=api_key,
+                base_url=base_url,
+                default_headers=default_headers,
+                default_query=default_query
+            )
+        else:
+            openai_obj = openai.OpenAI(
+                api_key=api_key, 
+                base_url=base_url,
+                default_headers=default_headers,
+                default_query=default_query
+            )
+    else:
+        if api_key:
+            openai.api_key = api_key
+        openai.api_base = base_url
+        # For v0 API, headers and query params need to be set per-request
+
     if client is None:
         # prepare the default openai sdk, if not provided
         if api_key is None:

py/autoevals/test_oai.py

@@ -0,0 +1,115 @@
+import pytest
+from unittest.mock import Mock, patch
+import json
+import os
+
+from . import oai
+from .oai import LLMClient, prepare_openai, post_process_response, run_cached_request, arun_cached_request
+
+class MockOpenAIResponse:
+    def dict(self):
+        return {"response": "test"}
+
+class MockRateLimitError(Exception):
+    pass
+
+class MockCompletions:
+    def create(self, **kwargs):
+        return MockOpenAIResponse()
+
+class MockChat:
+    def __init__(self):
+        self.completions = MockCompletions()
+
+class MockEmbeddings:
+    def create(self, **kwargs):
+        return MockOpenAIResponse()
+
+class MockModerations:
+    def create(self, **kwargs):
+        return MockOpenAIResponse()
+
+class MockOpenAI:
+    def __init__(self, **kwargs):
+        self.default_headers = kwargs.get('default_headers', {})
+        self.default_query = kwargs.get('default_query', {})
+        self.chat = MockChat()
+        self.embeddings = MockEmbeddings()
+        self.moderations = MockModerations()
+        self.RateLimitError = MockRateLimitError
+
+def test_openai_sync():
+    """Test basic OpenAI client functionality with a simple completion request"""
+    mock_openai = MockOpenAI()
+    client = LLMClient(
+        openai=mock_openai,
+        complete=mock_openai.chat.completions.create,
+        embed=mock_openai.embeddings.create,
+        moderation=mock_openai.moderations.create,
+        RateLimitError=MockRateLimitError
+    )
+
+    response = run_cached_request(
+        client=client,
+        request_type="complete",
+        messages=[
+            {
+                "role": "system",
+                "content": "You are a helpful assistant."
+            },
+            {
+                "role": "user", 
+                "content": "What is 2+2?"
+            }
+        ],
+        model="gpt-3.5-turbo",
+        max_tokens=50
+    )
+
+    assert response == {"response": "test"}
+
+@patch('openai.OpenAI')
+@patch.dict(os.environ, {'OPENAI_API_KEY': 'test-key'})
+def test_openai_headers(mock_openai):
+    """Test OpenAI client with custom headers"""
+    mock_instance = MockOpenAI(default_headers={"X-Custom-Header": "test", "X-Request-Source": "autoevals"})
+    mock_openai.return_value = mock_instance
+    with patch.dict(os.environ, {'OPENAI_DEFAULT_HEADERS': json.dumps({"X-Custom-Header": "test"})}):
+        client, wrapped = prepare_openai()
+        assert isinstance(client, LLMClient)
+        assert mock_instance.default_headers["X-Custom-Header"] == "test"
+        assert mock_instance.default_headers["X-Request-Source"] == "autoevals"
+
+@patch('openai.OpenAI')
+@patch.dict(os.environ, {'OPENAI_API_KEY': 'test-key'})
+def test_openai_query_params(mock_openai):
+    """Test OpenAI client with custom query parameters"""
+    mock_instance = MockOpenAI(default_query={"custom_param": "test"})
+    mock_openai.return_value = mock_instance
+    with patch.dict(os.environ, {'OPENAI_DEFAULT_QUERY': json.dumps({"custom_param": "test"})}):
+        client, wrapped = prepare_openai()
+        assert isinstance(client, LLMClient)
+        assert mock_instance.default_query["custom_param"] == "test"
+
+@patch('openai.OpenAI')
+@patch.dict(os.environ, {'OPENAI_API_KEY': 'test-key'})
+def test_invalid_header_json(mock_openai):
+    """Test handling of invalid header JSON"""
+    mock_instance = MockOpenAI(default_headers={"X-Request-Source": "autoevals"})
+    mock_openai.return_value = mock_instance
+    with patch.dict(os.environ, {'OPENAI_DEFAULT_HEADERS': 'invalid json'}):
+        client, wrapped = prepare_openai()
+        assert isinstance(client, LLMClient)
+        assert mock_instance.default_headers["X-Request-Source"] == "autoevals"
+        assert len(mock_instance.default_headers) == 1
+
+@patch('openai.OpenAI')
+@patch.dict(os.environ, {'OPENAI_API_KEY': 'test-key'})
+def test_invalid_query_json(mock_openai):
+    """Test handling of invalid query JSON"""
+    mock_instance = MockOpenAI()
+    mock_openai.return_value = mock_instance
+    with patch.dict(os.environ, {'OPENAI_DEFAULT_QUERY': 'invalid json'}):
+        client, wrapped = prepare_openai()
+        assert isinstance(client, LLMClient)
+        assert len(mock_instance.default_query) == 0