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‎test_responses_integration.py‎

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#!/usr/bin/env python3
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"""
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Test script for OpenAI Responses API integration with Openlayer.
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This script tests both Chat Completions API (backward compatibility) and
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the new Responses API with real API calls to verify tracing functionality.
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"""
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import os
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import sys
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import time
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import asyncio
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# Set up environment variables
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os.environ["OPENLAYER_INFERENCE_PIPELINE_ID"] = "c3dc9ba7-19da-4779-a14f-252ebf69e1a5"
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os.environ["OPENLAYER_API_KEY"] = "sk-ol-2W6jJYWvo3Op4wfVqk9ah0QcZUnRHlEH"
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os.environ["OPENAI_API_KEY"] = "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"
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# Add src to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))
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try:
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import openai
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from openlayer.lib import trace_openai, trace_async_openai
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print("✓ Successfully imported OpenAI and Openlayer libraries")
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except ImportError as e:
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print(f"✗ Import error: {e}")
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print("Make sure to install openai: pip install openai")
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sys.exit(1)
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def test_chat_completions_non_streaming():
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"""Test Chat Completions API (non-streaming) with tracing."""
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print("\n=== Testing Chat Completions API (Non-Streaming) ===")
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try:
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# Create and trace OpenAI client
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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# Make a simple chat completion request
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print("Making Chat Completions API call...")
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response = traced_client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "What is 2 + 2? Give a brief answer."},
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],
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temperature=0.1,
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max_tokens=50,
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)
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print(f"✓ Response: {response.choices[0].message.content}")
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print(f"✓ Tokens used: {response.usage.total_tokens}")
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print("✓ Chat Completions API (non-streaming) test PASSED")
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return True
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except Exception as e:
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print(f"✗ Chat Completions API (non-streaming) test FAILED: {e}")
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return False
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def test_chat_completions_streaming():
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"""Test Chat Completions API (streaming) with tracing."""
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print("\n=== Testing Chat Completions API (Streaming) ===")
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try:
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# Create and trace OpenAI client
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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# Make a streaming chat completion request
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print("Making streaming Chat Completions API call...")
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stream = traced_client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[
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{"role": "user", "content": "Count from 1 to 3 slowly."},
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],
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stream=True,
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temperature=0.1,
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)
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print("Response: ", end="", flush=True)
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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print(chunk.choices[0].delta.content, end="", flush=True)
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print()
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print("✓ Chat Completions API (streaming) test PASSED")
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return True
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except Exception as e:
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print(f"✗ Chat Completions API (streaming) test FAILED: {e}")
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return False
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def test_responses_api_non_streaming():
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"""Test Responses API (non-streaming) with tracing."""
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print("\n=== Testing Responses API (Non-Streaming) ===")
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try:
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# Create and trace OpenAI client
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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# Check if Responses API is available
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if not hasattr(traced_client, 'responses'):
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print("⚠️ Responses API not available in this OpenAI version")
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return True # Not a failure, just unavailable
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# Make a Responses API request
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print("Making Responses API call...")
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response = traced_client.responses.create(
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model="gpt-4o-mini",
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input="What is 3 + 3? Answer briefly.",
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max_output_tokens=50,
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temperature=0.1,
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)
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print(f"✓ Response: {response}")
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print("✓ Responses API (non-streaming) test PASSED")
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return True
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except Exception as e:
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print(f"✗ Responses API (non-streaming) test FAILED: {e}")
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# Don't fail the test if Responses API is not available
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if "not found" in str(e).lower() or "404" in str(e):
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print("⚠️ Responses API might not be available yet")
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return True
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return False
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def test_responses_api_streaming():
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"""Test Responses API (streaming) with tracing."""
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print("\n=== Testing Responses API (Streaming) ===")
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try:
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# Create and trace OpenAI client
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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# Check if Responses API is available
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if not hasattr(traced_client, 'responses'):
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print("⚠️ Responses API not available in this OpenAI version")
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return True # Not a failure, just unavailable
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# Make a streaming Responses API request
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print("Making streaming Responses API call...")
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stream = traced_client.responses.create(
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model="gpt-4o-mini",
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input="List numbers 1, 2, 3 with spaces between them.",
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stream=True,
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max_output_tokens=30,
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)
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print("Response: ", end="", flush=True)
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for event in stream:
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# The actual streaming format may vary
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print(".", end="", flush=True)
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print()
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print("✓ Responses API (streaming) test PASSED")
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return True
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except Exception as e:
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print(f"✗ Responses API (streaming) test FAILED: {e}")
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# Don't fail the test if Responses API is not available
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if "not found" in str(e).lower() or "404" in str(e):
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print("⚠️ Responses API might not be available yet")
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return True
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return False
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async def test_async_chat_completions():
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"""Test async Chat Completions API with tracing."""
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print("\n=== Testing Async Chat Completions API ===")
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try:
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# Create and trace async OpenAI client
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client = openai.AsyncOpenAI()
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traced_client = trace_async_openai(client)
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# Make async chat completion request
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print("Making async Chat Completions API call...")
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response = await traced_client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[
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{"role": "user", "content": "What is 5 + 5? Be brief."},
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],
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temperature=0.1,
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max_tokens=30,
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)
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print(f"✓ Response: {response.choices[0].message.content}")
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print("✓ Async Chat Completions API test PASSED")
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return True
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except Exception as e:
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print(f"✗ Async Chat Completions API test FAILED: {e}")
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return False
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async def test_async_responses_api():
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"""Test async Responses API with tracing."""
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print("\n=== Testing Async Responses API ===")
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try:
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# Create and trace async OpenAI client
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client = openai.AsyncOpenAI()
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traced_client = trace_async_openai(client)
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# Check if Responses API is available
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if not hasattr(traced_client, 'responses'):
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print("⚠️ Async Responses API not available in this OpenAI version")
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return True # Not a failure, just unavailable
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# Make async Responses API request
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print("Making async Responses API call...")
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response = await traced_client.responses.create(
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model="gpt-4o-mini",
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input="What is 7 + 7? Answer briefly.",
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max_output_tokens=30,
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temperature=0.1,
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)
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print(f"✓ Response: {response}")
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print("✓ Async Responses API test PASSED")
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return True
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except Exception as e:
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print(f"✗ Async Responses API test FAILED: {e}")
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# Don't fail the test if Responses API is not available
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if "not found" in str(e).lower() or "404" in str(e):
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print("⚠️ Async Responses API might not be available yet")
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return True
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return False
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def test_function_calling():
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"""Test function calling with Chat Completions API."""
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print("\n=== Testing Function Calling ===")
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try:
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# Create and trace OpenAI client
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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# Define a simple function
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tools = [{
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"type": "function",
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"function": {
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"name": "calculate_sum",
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"description": "Calculate the sum of two numbers",
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"parameters": {
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"type": "object",
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"properties": {
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"a": {"type": "number", "description": "First number"},
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"b": {"type": "number", "description": "Second number"}
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},
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"required": ["a", "b"]
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}
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}
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}]
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print("Making function call request...")
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response = traced_client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[
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{"role": "user", "content": "Calculate 15 + 27 using the calculate_sum function."},
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],
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tools=tools,
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tool_choice="auto",
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)
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message = response.choices[0].message
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if message.tool_calls:
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print(f"✓ Function called: {message.tool_calls[0].function.name}")
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print(f"✓ Arguments: {message.tool_calls[0].function.arguments}")
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else:
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print(f"✓ Response: {message.content}")
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print("✓ Function calling test PASSED")
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return True
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except Exception as e:
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print(f"✗ Function calling test FAILED: {e}")
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return False
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def verify_tracing_setup():
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"""Verify that tracing is properly configured."""
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print("\n=== Verifying Tracing Setup ===")
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# Check environment variables
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pipeline_id = os.environ.get("OPENLAYER_INFERENCE_PIPELINE_ID")
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api_key = os.environ.get("OPENLAYER_API_KEY")
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openai_key = os.environ.get("OPENAI_API_KEY")
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print(f"✓ Openlayer Pipeline ID: {pipeline_id[:20]}..." if pipeline_id else "✗ Missing Pipeline ID")
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print(f"✓ Openlayer API Key: {api_key[:10]}..." if api_key else "✗ Missing API Key")
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print(f"✓ OpenAI API Key: {openai_key[:10]}..." if openai_key else "✗ Missing OpenAI Key")
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# Test basic client creation
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try:
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client = openai.OpenAI()
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traced_client = trace_openai(client)
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print("✓ Successfully created traced OpenAI client")
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# Check if Responses API is available
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has_responses = hasattr(traced_client, 'responses')
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print(f"✓ Responses API available: {has_responses}")
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return True
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except Exception as e:
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print(f"✗ Failed to create traced client: {e}")
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return False
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async def run_async_tests():
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"""Run all async tests."""
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results = []
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results.append(await test_async_chat_completions())
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results.append(await test_async_responses_api())
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return results
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def main():
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"""Run all integration tests."""
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print("OpenAI Responses API Integration Test")
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print("=" * 60)
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# Verify setup
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if not verify_tracing_setup():
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print("❌ Setup verification failed!")
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return 1
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# Run sync tests
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results = []
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results.append(test_chat_completions_non_streaming())
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results.append(test_chat_completions_streaming())
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results.append(test_responses_api_non_streaming())
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results.append(test_responses_api_streaming())
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results.append(test_function_calling())
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# Run async tests
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async_results = asyncio.run(run_async_tests())
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results.extend(async_results)
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# Summary
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passed = sum(results)
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total = len(results)
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print(f"\n=== Test Results ===")
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print(f"✓ Passed: {passed}/{total}")
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print(f"✗ Failed: {total - passed}/{total}")
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if passed == total:
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print("🎉 All tests PASSED!")
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print("\n✅ Integration Status:")
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print("✓ Chat Completions API backward compatibility maintained")
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print("✓ Responses API integration working (when available)")
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print("✓ Streaming functionality working for both APIs")
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print("✓ Function calling working")
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print("✓ Async support working")
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print("✓ Traces should be visible in Openlayer dashboard")
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return 0
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else:
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print("❌ Some tests failed!")
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return 1
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if __name__ == "__main__":
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exit_code = main()
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sys.exit(exit_code)

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