244 lines
8.9 KiB
Python
244 lines
8.9 KiB
Python
"""
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Usage:
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python3 -m unittest openai_server.features.test_enable_thinking.TestEnableThinking.test_chat_completion_with_reasoning
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python3 -m unittest openai_server.features.test_enable_thinking.TestEnableThinking.test_chat_completion_without_reasoning
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python3 -m unittest openai_server.features.test_enable_thinking.TestEnableThinking.test_stream_chat_completion_with_reasoning
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python3 -m unittest openai_server.features.test_enable_thinking.TestEnableThinking.test_stream_chat_completion_without_reasoning
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"""
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import asyncio
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import json
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import os
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import sys
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import time
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import unittest
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import openai
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import requests
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from sglang.srt.hf_transformers_utils import get_tokenizer
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from sglang.srt.utils import kill_process_tree
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from sglang.test.test_utils import (
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DEFAULT_ENABLE_THINKING_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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class TestEnableThinking(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_ENABLE_THINKING_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.api_key = "sk-1234"
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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api_key=cls.api_key,
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other_args=[
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"--reasoning-parser",
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"qwen3",
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],
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)
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cls.additional_chat_kwargs = {}
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_chat_completion_with_reasoning(self):
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# Test non-streaming with "enable_thinking": True, reasoning_content should not be empty
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client = requests.post(
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f"{self.base_url}/v1/chat/completions",
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headers={"Authorization": f"Bearer {self.api_key}"},
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json={
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"model": self.model,
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"messages": [{"role": "user", "content": "Hello"}],
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"temperature": 0,
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"separate_reasoning": True,
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"chat_template_kwargs": {"enable_thinking": True},
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**self.additional_chat_kwargs,
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},
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)
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self.assertEqual(client.status_code, 200, f"Failed with: {client.text}")
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data = client.json()
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self.assertIn("choices", data)
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self.assertTrue(len(data["choices"]) > 0)
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self.assertIn("message", data["choices"][0])
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self.assertIn("reasoning_content", data["choices"][0]["message"])
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self.assertIsNotNone(data["choices"][0]["message"]["reasoning_content"])
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def test_chat_completion_without_reasoning(self):
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# Test non-streaming with "enable_thinking": False, reasoning_content should be empty
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client = requests.post(
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f"{self.base_url}/v1/chat/completions",
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headers={"Authorization": f"Bearer {self.api_key}"},
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json={
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"model": self.model,
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"messages": [{"role": "user", "content": "Hello"}],
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"temperature": 0,
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"separate_reasoning": True,
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"chat_template_kwargs": {"enable_thinking": False},
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**self.additional_chat_kwargs,
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},
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)
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self.assertEqual(client.status_code, 200, f"Failed with: {client.text}")
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data = client.json()
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self.assertIn("choices", data)
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self.assertTrue(len(data["choices"]) > 0)
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self.assertIn("message", data["choices"][0])
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if "reasoning_content" in data["choices"][0]["message"]:
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self.assertIsNone(data["choices"][0]["message"]["reasoning_content"])
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def test_stream_chat_completion_with_reasoning(self):
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# Test streaming with "enable_thinking": True, reasoning_content should not be empty
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response = requests.post(
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f"{self.base_url}/v1/chat/completions",
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headers={"Authorization": f"Bearer {self.api_key}"},
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json={
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"model": self.model,
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"messages": [{"role": "user", "content": "Hello"}],
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"temperature": 0,
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"separate_reasoning": True,
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"stream": True,
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"chat_template_kwargs": {"enable_thinking": True},
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**self.additional_chat_kwargs,
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},
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stream=True,
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)
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self.assertEqual(response.status_code, 200, f"Failed with: {response.text}")
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has_reasoning = False
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has_content = False
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print("\n=== Stream With Reasoning ===")
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for line in response.iter_lines():
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if line:
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line = line.decode("utf-8")
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if line.startswith("data:") and not line.startswith("data: [DONE]"):
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data = json.loads(line[6:])
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if "choices" in data and len(data["choices"]) > 0:
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delta = data["choices"][0].get("delta", {})
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if "reasoning_content" in delta and delta["reasoning_content"]:
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has_reasoning = True
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if "content" in delta and delta["content"]:
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has_content = True
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self.assertTrue(
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has_reasoning,
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"The reasoning content is not included in the stream response",
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)
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self.assertTrue(
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has_content, "The stream response does not contain normal content"
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)
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def test_stream_chat_completion_without_reasoning(self):
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# Test streaming with "enable_thinking": False, reasoning_content should be empty
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response = requests.post(
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f"{self.base_url}/v1/chat/completions",
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headers={"Authorization": f"Bearer {self.api_key}"},
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json={
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"model": self.model,
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"messages": [{"role": "user", "content": "Hello"}],
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"temperature": 0,
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"separate_reasoning": True,
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"stream": True,
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"chat_template_kwargs": {"enable_thinking": False},
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**self.additional_chat_kwargs,
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},
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stream=True,
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)
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self.assertEqual(response.status_code, 200, f"Failed with: {response.text}")
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has_reasoning = False
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has_content = False
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print("\n=== Stream Without Reasoning ===")
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for line in response.iter_lines():
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if line:
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line = line.decode("utf-8")
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if line.startswith("data:") and not line.startswith("data: [DONE]"):
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data = json.loads(line[6:])
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if "choices" in data and len(data["choices"]) > 0:
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delta = data["choices"][0].get("delta", {})
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if "reasoning_content" in delta and delta["reasoning_content"]:
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has_reasoning = True
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if "content" in delta and delta["content"]:
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has_content = True
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self.assertFalse(
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has_reasoning,
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"The reasoning content should not be included in the stream response",
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)
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self.assertTrue(
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has_content, "The stream response does not contain normal content"
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)
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# Skip for ci test
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# class TestGLM45EnableThinking(TestEnableThinking):
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# @classmethod
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# def setUpClass(cls):
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# # Replace with the model name needed for testing; if not required, reuse DEFAULT_SMALL_MODEL_NAME_FOR_TEST
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# cls.model = "THUDM/GLM-4.5"
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# cls.base_url = DEFAULT_URL_FOR_TEST
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# cls.api_key = "sk-1234"
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# cls.process = popen_launch_server(
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# cls.model,
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# cls.base_url,
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# timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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# api_key=cls.api_key,
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# other_args=[
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# "--tool-call-parser",
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# "glm45",
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# "--reasoning-parser",
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# "glm45",
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# "--tp-size",
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# "8"
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# ],
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# )
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# # Validate whether enable-thinking conflict with tool_calls
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# cls.additional_chat_kwargs = {
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# "tools": [
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# {
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# "type": "function",
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# "function": {
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# "name": "add",
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# "description": "Compute 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": {
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# "type": "int",
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# "description": "A number",
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# },
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# "b": {
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# "type": "int",
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# "description": "A number",
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# },
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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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# ]
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# }
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if __name__ == "__main__":
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unittest.main()
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