731 lines
28 KiB
Python
731 lines
28 KiB
Python
# Copyright 2023-2024 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for OpenAI API protocol models"""
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import json
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import time
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import unittest
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from typing import Dict, List, Optional
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from pydantic import ValidationError
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from sglang.srt.entrypoints.openai.protocol import (
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BatchRequest,
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BatchResponse,
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ChatCompletionMessageContentImagePart,
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ChatCompletionMessageContentTextPart,
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ChatCompletionRequest,
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ChatCompletionResponse,
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ChatCompletionResponseChoice,
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ChatCompletionResponseStreamChoice,
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ChatCompletionStreamResponse,
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ChatCompletionTokenLogprob,
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ChatMessage,
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ChoiceLogprobs,
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CompletionRequest,
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CompletionResponse,
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CompletionResponseChoice,
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DeltaMessage,
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EmbeddingObject,
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EmbeddingRequest,
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EmbeddingResponse,
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ErrorResponse,
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FileDeleteResponse,
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FileRequest,
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FileResponse,
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Function,
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FunctionResponse,
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JsonSchemaResponseFormat,
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LogProbs,
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ModelCard,
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ModelList,
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MultimodalEmbeddingInput,
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ResponseFormat,
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ScoringRequest,
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ScoringResponse,
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StreamOptions,
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StructuralTagResponseFormat,
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Tool,
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ToolCall,
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ToolChoice,
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TopLogprob,
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UsageInfo,
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)
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class TestModelCard(unittest.TestCase):
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"""Test ModelCard protocol model"""
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def test_basic_model_card_creation(self):
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"""Test basic model card creation with required fields"""
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card = ModelCard(id="test-model")
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self.assertEqual(card.id, "test-model")
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self.assertEqual(card.object, "model")
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self.assertEqual(card.owned_by, "sglang")
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self.assertIsInstance(card.created, int)
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self.assertIsNone(card.root)
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self.assertIsNone(card.max_model_len)
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def test_model_card_with_optional_fields(self):
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"""Test model card with optional fields"""
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card = ModelCard(
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id="test-model",
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root="/path/to/model",
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max_model_len=2048,
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created=1234567890,
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)
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self.assertEqual(card.id, "test-model")
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self.assertEqual(card.root, "/path/to/model")
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self.assertEqual(card.max_model_len, 2048)
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self.assertEqual(card.created, 1234567890)
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def test_model_card_serialization(self):
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"""Test model card JSON serialization"""
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card = ModelCard(id="test-model", max_model_len=4096)
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data = card.model_dump()
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self.assertEqual(data["id"], "test-model")
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self.assertEqual(data["object"], "model")
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self.assertEqual(data["max_model_len"], 4096)
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class TestModelList(unittest.TestCase):
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"""Test ModelList protocol model"""
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def test_empty_model_list(self):
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"""Test empty model list creation"""
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model_list = ModelList()
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self.assertEqual(model_list.object, "list")
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self.assertEqual(len(model_list.data), 0)
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def test_model_list_with_cards(self):
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"""Test model list with model cards"""
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cards = [
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ModelCard(id="model-1"),
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ModelCard(id="model-2", max_model_len=2048),
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]
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model_list = ModelList(data=cards)
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self.assertEqual(len(model_list.data), 2)
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self.assertEqual(model_list.data[0].id, "model-1")
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self.assertEqual(model_list.data[1].id, "model-2")
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class TestErrorResponse(unittest.TestCase):
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"""Test ErrorResponse protocol model"""
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def test_basic_error_response(self):
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"""Test basic error response creation"""
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error = ErrorResponse(
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message="Invalid request", type="BadRequestError", code=400
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)
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self.assertEqual(error.object, "error")
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self.assertEqual(error.message, "Invalid request")
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self.assertEqual(error.type, "BadRequestError")
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self.assertEqual(error.code, 400)
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self.assertIsNone(error.param)
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def test_error_response_with_param(self):
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"""Test error response with parameter"""
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error = ErrorResponse(
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message="Invalid temperature",
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type="ValidationError",
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code=422,
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param="temperature",
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)
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self.assertEqual(error.param, "temperature")
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class TestUsageInfo(unittest.TestCase):
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"""Test UsageInfo protocol model"""
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def test_basic_usage_info(self):
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"""Test basic usage info creation"""
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usage = UsageInfo(prompt_tokens=10, completion_tokens=20, total_tokens=30)
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self.assertEqual(usage.prompt_tokens, 10)
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self.assertEqual(usage.completion_tokens, 20)
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self.assertEqual(usage.total_tokens, 30)
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self.assertIsNone(usage.prompt_tokens_details)
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def test_usage_info_with_cache_details(self):
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"""Test usage info with cache details"""
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usage = UsageInfo(
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prompt_tokens=10,
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completion_tokens=20,
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total_tokens=30,
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prompt_tokens_details={"cached_tokens": 5},
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)
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self.assertEqual(usage.prompt_tokens_details, {"cached_tokens": 5})
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class TestCompletionRequest(unittest.TestCase):
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"""Test CompletionRequest protocol model"""
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def test_basic_completion_request(self):
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"""Test basic completion request"""
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request = CompletionRequest(model="test-model", prompt="Hello world")
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self.assertEqual(request.model, "test-model")
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self.assertEqual(request.prompt, "Hello world")
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self.assertEqual(request.max_tokens, 16) # default
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self.assertEqual(request.temperature, 1.0) # default
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self.assertEqual(request.n, 1) # default
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self.assertFalse(request.stream) # default
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self.assertFalse(request.echo) # default
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def test_completion_request_with_options(self):
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"""Test completion request with various options"""
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request = CompletionRequest(
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model="test-model",
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prompt=["Hello", "world"],
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max_tokens=100,
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temperature=0.7,
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top_p=0.9,
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n=2,
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stream=True,
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echo=True,
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stop=[".", "!"],
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logprobs=5,
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)
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self.assertEqual(request.prompt, ["Hello", "world"])
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self.assertEqual(request.max_tokens, 100)
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self.assertEqual(request.temperature, 0.7)
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self.assertEqual(request.top_p, 0.9)
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self.assertEqual(request.n, 2)
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self.assertTrue(request.stream)
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self.assertTrue(request.echo)
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self.assertEqual(request.stop, [".", "!"])
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self.assertEqual(request.logprobs, 5)
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def test_completion_request_sglang_extensions(self):
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"""Test completion request with SGLang-specific extensions"""
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request = CompletionRequest(
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model="test-model",
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prompt="Hello",
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top_k=50,
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min_p=0.1,
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repetition_penalty=1.1,
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regex=r"\d+",
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json_schema='{"type": "object"}',
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lora_path="/path/to/lora",
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)
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self.assertEqual(request.top_k, 50)
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self.assertEqual(request.min_p, 0.1)
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self.assertEqual(request.repetition_penalty, 1.1)
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self.assertEqual(request.regex, r"\d+")
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self.assertEqual(request.json_schema, '{"type": "object"}')
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self.assertEqual(request.lora_path, "/path/to/lora")
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def test_completion_request_validation_errors(self):
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"""Test completion request validation errors"""
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with self.assertRaises(ValidationError):
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CompletionRequest() # missing required fields
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with self.assertRaises(ValidationError):
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CompletionRequest(model="test-model") # missing prompt
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class TestCompletionResponse(unittest.TestCase):
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"""Test CompletionResponse protocol model"""
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def test_basic_completion_response(self):
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"""Test basic completion response"""
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choice = CompletionResponseChoice(
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index=0, text="Hello world!", finish_reason="stop"
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)
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usage = UsageInfo(prompt_tokens=2, completion_tokens=3, total_tokens=5)
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response = CompletionResponse(
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id="test-id", model="test-model", choices=[choice], usage=usage
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)
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self.assertEqual(response.id, "test-id")
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self.assertEqual(response.object, "text_completion")
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self.assertEqual(response.model, "test-model")
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self.assertEqual(len(response.choices), 1)
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self.assertEqual(response.choices[0].text, "Hello world!")
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self.assertEqual(response.usage.total_tokens, 5)
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class TestChatCompletionRequest(unittest.TestCase):
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"""Test ChatCompletionRequest protocol model"""
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def test_basic_chat_completion_request(self):
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"""Test basic chat completion request"""
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messages = [{"role": "user", "content": "Hello"}]
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request = ChatCompletionRequest(model="test-model", messages=messages)
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self.assertEqual(request.model, "test-model")
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self.assertEqual(len(request.messages), 1)
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self.assertEqual(request.messages[0].role, "user")
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self.assertEqual(request.messages[0].content, "Hello")
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self.assertEqual(request.temperature, 0.7) # default
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self.assertFalse(request.stream) # default
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self.assertEqual(request.tool_choice, "none") # default when no tools
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def test_chat_completion_with_multimodal_content(self):
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"""Test chat completion with multimodal content"""
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "What's in this image?"},
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{
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"type": "image_url",
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"image_url": {"url": "data:image/jpeg;base64,/9j/4AAQ..."},
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},
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],
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}
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]
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request = ChatCompletionRequest(model="test-model", messages=messages)
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self.assertEqual(len(request.messages[0].content), 2)
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self.assertEqual(request.messages[0].content[0].type, "text")
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self.assertEqual(request.messages[0].content[1].type, "image_url")
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def test_chat_completion_with_tools(self):
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"""Test chat completion with tools"""
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messages = [{"role": "user", "content": "What's the weather?"}]
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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": "get_weather",
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"description": "Get weather information",
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"parameters": {
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"type": "object",
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"properties": {"location": {"type": "string"}},
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},
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},
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}
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]
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request = ChatCompletionRequest(
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model="test-model", messages=messages, tools=tools
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)
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self.assertEqual(len(request.tools), 1)
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self.assertEqual(request.tools[0].function.name, "get_weather")
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self.assertEqual(request.tool_choice, "auto") # default when tools present
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def test_chat_completion_tool_choice_validation(self):
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"""Test tool choice validation logic"""
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messages = [{"role": "user", "content": "Hello"}]
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# No tools, tool_choice should default to "none"
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request1 = ChatCompletionRequest(model="test-model", messages=messages)
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self.assertEqual(request1.tool_choice, "none")
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# With tools, tool_choice should default to "auto"
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tools = [
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{
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"type": "function",
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"function": {"name": "test_func", "description": "Test function"},
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}
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]
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request2 = ChatCompletionRequest(
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model="test-model", messages=messages, tools=tools
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)
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self.assertEqual(request2.tool_choice, "auto")
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def test_chat_completion_sglang_extensions(self):
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"""Test chat completion with SGLang extensions"""
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messages = [{"role": "user", "content": "Hello"}]
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request = ChatCompletionRequest(
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model="test-model",
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messages=messages,
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top_k=40,
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min_p=0.05,
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separate_reasoning=False,
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stream_reasoning=False,
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chat_template_kwargs={"custom_param": "value"},
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)
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self.assertEqual(request.top_k, 40)
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self.assertEqual(request.min_p, 0.05)
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self.assertFalse(request.separate_reasoning)
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self.assertFalse(request.stream_reasoning)
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self.assertEqual(request.chat_template_kwargs, {"custom_param": "value"})
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class TestChatCompletionResponse(unittest.TestCase):
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"""Test ChatCompletionResponse protocol model"""
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def test_basic_chat_completion_response(self):
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"""Test basic chat completion response"""
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message = ChatMessage(role="assistant", content="Hello there!")
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choice = ChatCompletionResponseChoice(
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index=0, message=message, finish_reason="stop"
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)
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usage = UsageInfo(prompt_tokens=2, completion_tokens=3, total_tokens=5)
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response = ChatCompletionResponse(
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id="test-id", model="test-model", choices=[choice], usage=usage
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)
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self.assertEqual(response.id, "test-id")
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self.assertEqual(response.object, "chat.completion")
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self.assertEqual(response.model, "test-model")
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self.assertEqual(len(response.choices), 1)
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self.assertEqual(response.choices[0].message.content, "Hello there!")
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def test_chat_completion_response_with_tool_calls(self):
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"""Test chat completion response with tool calls"""
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tool_call = ToolCall(
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id="call_123",
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function=FunctionResponse(
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name="get_weather", arguments='{"location": "San Francisco"}'
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),
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)
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message = ChatMessage(role="assistant", content=None, tool_calls=[tool_call])
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choice = ChatCompletionResponseChoice(
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index=0, message=message, finish_reason="tool_calls"
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)
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usage = UsageInfo(prompt_tokens=10, completion_tokens=5, total_tokens=15)
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response = ChatCompletionResponse(
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id="test-id", model="test-model", choices=[choice], usage=usage
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)
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self.assertEqual(
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response.choices[0].message.tool_calls[0].function.name, "get_weather"
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)
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self.assertEqual(response.choices[0].finish_reason, "tool_calls")
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class TestEmbeddingRequest(unittest.TestCase):
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"""Test EmbeddingRequest protocol model"""
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def test_basic_embedding_request(self):
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"""Test basic embedding request"""
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request = EmbeddingRequest(model="test-model", input="Hello world")
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self.assertEqual(request.model, "test-model")
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self.assertEqual(request.input, "Hello world")
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self.assertEqual(request.encoding_format, "float") # default
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self.assertIsNone(request.dimensions) # default
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def test_embedding_request_with_list_input(self):
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"""Test embedding request with list input"""
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request = EmbeddingRequest(
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model="test-model", input=["Hello", "world"], dimensions=512
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)
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self.assertEqual(request.input, ["Hello", "world"])
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self.assertEqual(request.dimensions, 512)
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def test_multimodal_embedding_request(self):
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"""Test multimodal embedding request"""
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multimodal_input = [
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MultimodalEmbeddingInput(text="Hello", image="base64_image_data"),
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MultimodalEmbeddingInput(text="World", image=None),
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]
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request = EmbeddingRequest(model="test-model", input=multimodal_input)
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self.assertEqual(len(request.input), 2)
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self.assertEqual(request.input[0].text, "Hello")
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self.assertEqual(request.input[0].image, "base64_image_data")
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self.assertEqual(request.input[1].text, "World")
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self.assertIsNone(request.input[1].image)
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class TestEmbeddingResponse(unittest.TestCase):
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"""Test EmbeddingResponse protocol model"""
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def test_basic_embedding_response(self):
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"""Test basic embedding response"""
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embedding_obj = EmbeddingObject(embedding=[0.1, 0.2, 0.3], index=0)
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usage = UsageInfo(prompt_tokens=3, total_tokens=3)
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response = EmbeddingResponse(
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data=[embedding_obj], model="test-model", usage=usage
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)
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self.assertEqual(response.object, "list")
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self.assertEqual(len(response.data), 1)
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self.assertEqual(response.data[0].embedding, [0.1, 0.2, 0.3])
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self.assertEqual(response.data[0].index, 0)
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self.assertEqual(response.usage.prompt_tokens, 3)
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|
|
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class TestScoringRequest(unittest.TestCase):
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"""Test ScoringRequest protocol model"""
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|
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|
def test_basic_scoring_request(self):
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"""Test basic scoring request"""
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|
request = ScoringRequest(
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model="test-model", query="Hello", items=["World", "Earth"]
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)
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self.assertEqual(request.model, "test-model")
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self.assertEqual(request.query, "Hello")
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self.assertEqual(request.items, ["World", "Earth"])
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self.assertFalse(request.apply_softmax) # default
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self.assertFalse(request.item_first) # default
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|
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|
def test_scoring_request_with_token_ids(self):
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"""Test scoring request with token IDs"""
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|
request = ScoringRequest(
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model="test-model",
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query=[1, 2, 3],
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items=[[4, 5], [6, 7]],
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label_token_ids=[8, 9],
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apply_softmax=True,
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item_first=True,
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)
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self.assertEqual(request.query, [1, 2, 3])
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self.assertEqual(request.items, [[4, 5], [6, 7]])
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self.assertEqual(request.label_token_ids, [8, 9])
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self.assertTrue(request.apply_softmax)
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self.assertTrue(request.item_first)
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|
|
|
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|
class TestScoringResponse(unittest.TestCase):
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"""Test ScoringResponse protocol model"""
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|
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|
def test_basic_scoring_response(self):
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"""Test basic scoring response"""
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response = ScoringResponse(scores=[[0.1, 0.9], [0.3, 0.7]], model="test-model")
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self.assertEqual(response.object, "scoring")
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self.assertEqual(response.scores, [[0.1, 0.9], [0.3, 0.7]])
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self.assertEqual(response.model, "test-model")
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self.assertIsNone(response.usage) # default
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|
|
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|
class TestFileOperations(unittest.TestCase):
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"""Test file operation protocol models"""
|
|
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|
def test_file_request(self):
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"""Test file request model"""
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file_data = b"test file content"
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request = FileRequest(file=file_data, purpose="batch")
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self.assertEqual(request.file, file_data)
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self.assertEqual(request.purpose, "batch")
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def test_file_response(self):
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"""Test file response model"""
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response = FileResponse(
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id="file-123",
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bytes=1024,
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created_at=1234567890,
|
|
filename="test.jsonl",
|
|
purpose="batch",
|
|
)
|
|
self.assertEqual(response.id, "file-123")
|
|
self.assertEqual(response.object, "file")
|
|
self.assertEqual(response.bytes, 1024)
|
|
self.assertEqual(response.filename, "test.jsonl")
|
|
|
|
def test_file_delete_response(self):
|
|
"""Test file delete response model"""
|
|
response = FileDeleteResponse(id="file-123", deleted=True)
|
|
self.assertEqual(response.id, "file-123")
|
|
self.assertEqual(response.object, "file")
|
|
self.assertTrue(response.deleted)
|
|
|
|
|
|
class TestBatchOperations(unittest.TestCase):
|
|
"""Test batch operation protocol models"""
|
|
|
|
def test_batch_request(self):
|
|
"""Test batch request model"""
|
|
request = BatchRequest(
|
|
input_file_id="file-123",
|
|
endpoint="/v1/chat/completions",
|
|
completion_window="24h",
|
|
metadata={"custom": "value"},
|
|
)
|
|
self.assertEqual(request.input_file_id, "file-123")
|
|
self.assertEqual(request.endpoint, "/v1/chat/completions")
|
|
self.assertEqual(request.completion_window, "24h")
|
|
self.assertEqual(request.metadata, {"custom": "value"})
|
|
|
|
def test_batch_response(self):
|
|
"""Test batch response model"""
|
|
response = BatchResponse(
|
|
id="batch-123",
|
|
endpoint="/v1/chat/completions",
|
|
input_file_id="file-123",
|
|
completion_window="24h",
|
|
created_at=1234567890,
|
|
)
|
|
self.assertEqual(response.id, "batch-123")
|
|
self.assertEqual(response.object, "batch")
|
|
self.assertEqual(response.status, "validating") # default
|
|
self.assertEqual(response.endpoint, "/v1/chat/completions")
|
|
|
|
|
|
class TestResponseFormats(unittest.TestCase):
|
|
"""Test response format protocol models"""
|
|
|
|
def test_basic_response_format(self):
|
|
"""Test basic response format"""
|
|
format_obj = ResponseFormat(type="json_object")
|
|
self.assertEqual(format_obj.type, "json_object")
|
|
self.assertIsNone(format_obj.json_schema)
|
|
|
|
def test_json_schema_response_format(self):
|
|
"""Test JSON schema response format"""
|
|
schema = {"type": "object", "properties": {"name": {"type": "string"}}}
|
|
json_schema = JsonSchemaResponseFormat(
|
|
name="person_schema", description="Person schema", schema=schema
|
|
)
|
|
format_obj = ResponseFormat(type="json_schema", json_schema=json_schema)
|
|
self.assertEqual(format_obj.type, "json_schema")
|
|
self.assertEqual(format_obj.json_schema.name, "person_schema")
|
|
self.assertEqual(format_obj.json_schema.schema_, schema)
|
|
|
|
def test_structural_tag_response_format(self):
|
|
"""Test structural tag response format"""
|
|
structures = [
|
|
{
|
|
"begin": "<thinking>",
|
|
"schema_": {"type": "string"},
|
|
"end": "</thinking>",
|
|
}
|
|
]
|
|
format_obj = StructuralTagResponseFormat(
|
|
type="structural_tag", structures=structures, triggers=["think"]
|
|
)
|
|
self.assertEqual(format_obj.type, "structural_tag")
|
|
self.assertEqual(len(format_obj.structures), 1)
|
|
self.assertEqual(format_obj.triggers, ["think"])
|
|
|
|
|
|
class TestLogProbs(unittest.TestCase):
|
|
"""Test LogProbs protocol models"""
|
|
|
|
def test_basic_logprobs(self):
|
|
"""Test basic LogProbs model"""
|
|
logprobs = LogProbs(
|
|
text_offset=[0, 5, 11],
|
|
token_logprobs=[-0.1, -0.2, -0.3],
|
|
tokens=["Hello", " ", "world"],
|
|
top_logprobs=[{"Hello": -0.1}, {" ": -0.2}, {"world": -0.3}],
|
|
)
|
|
self.assertEqual(len(logprobs.tokens), 3)
|
|
self.assertEqual(logprobs.tokens, ["Hello", " ", "world"])
|
|
self.assertEqual(logprobs.token_logprobs, [-0.1, -0.2, -0.3])
|
|
|
|
def test_choice_logprobs(self):
|
|
"""Test ChoiceLogprobs model"""
|
|
token_logprob = ChatCompletionTokenLogprob(
|
|
token="Hello",
|
|
bytes=[72, 101, 108, 108, 111],
|
|
logprob=-0.1,
|
|
top_logprobs=[
|
|
TopLogprob(token="Hello", bytes=[72, 101, 108, 108, 111], logprob=-0.1)
|
|
],
|
|
)
|
|
choice_logprobs = ChoiceLogprobs(content=[token_logprob])
|
|
self.assertEqual(len(choice_logprobs.content), 1)
|
|
self.assertEqual(choice_logprobs.content[0].token, "Hello")
|
|
|
|
|
|
class TestStreamingModels(unittest.TestCase):
|
|
"""Test streaming response models"""
|
|
|
|
def test_stream_options(self):
|
|
"""Test StreamOptions model"""
|
|
options = StreamOptions(include_usage=True)
|
|
self.assertTrue(options.include_usage)
|
|
|
|
def test_chat_completion_stream_response(self):
|
|
"""Test ChatCompletionStreamResponse model"""
|
|
delta = DeltaMessage(role="assistant", content="Hello")
|
|
choice = ChatCompletionResponseStreamChoice(index=0, delta=delta)
|
|
response = ChatCompletionStreamResponse(
|
|
id="test-id", model="test-model", choices=[choice]
|
|
)
|
|
self.assertEqual(response.object, "chat.completion.chunk")
|
|
self.assertEqual(response.choices[0].delta.content, "Hello")
|
|
|
|
|
|
class TestModelSerialization(unittest.TestCase):
|
|
"""Test model serialization with hidden states"""
|
|
|
|
def test_hidden_states_excluded_when_none(self):
|
|
"""Test that None hidden_states are excluded with exclude_none=True"""
|
|
choice = ChatCompletionResponseChoice(
|
|
index=0,
|
|
message=ChatMessage(role="assistant", content="Hello"),
|
|
finish_reason="stop",
|
|
hidden_states=None,
|
|
)
|
|
|
|
response = ChatCompletionResponse(
|
|
id="test-id",
|
|
model="test-model",
|
|
choices=[choice],
|
|
usage=UsageInfo(prompt_tokens=5, completion_tokens=1, total_tokens=6),
|
|
)
|
|
|
|
# Test exclude_none serialization (should exclude None hidden_states)
|
|
data = response.model_dump(exclude_none=True)
|
|
self.assertNotIn("hidden_states", data["choices"][0])
|
|
|
|
def test_hidden_states_included_when_not_none(self):
|
|
"""Test that non-None hidden_states are included"""
|
|
choice = ChatCompletionResponseChoice(
|
|
index=0,
|
|
message=ChatMessage(role="assistant", content="Hello"),
|
|
finish_reason="stop",
|
|
hidden_states=[0.1, 0.2, 0.3],
|
|
)
|
|
|
|
response = ChatCompletionResponse(
|
|
id="test-id",
|
|
model="test-model",
|
|
choices=[choice],
|
|
usage=UsageInfo(prompt_tokens=5, completion_tokens=1, total_tokens=6),
|
|
)
|
|
|
|
# Test exclude_none serialization (should include non-None hidden_states)
|
|
data = response.model_dump(exclude_none=True)
|
|
self.assertIn("hidden_states", data["choices"][0])
|
|
self.assertEqual(data["choices"][0]["hidden_states"], [0.1, 0.2, 0.3])
|
|
|
|
|
|
class TestValidationEdgeCases(unittest.TestCase):
|
|
"""Test edge cases and validation scenarios"""
|
|
|
|
def test_empty_messages_validation(self):
|
|
"""Test validation with empty messages"""
|
|
with self.assertRaises(ValidationError):
|
|
ChatCompletionRequest(model="test-model", messages=[])
|
|
|
|
def test_invalid_tool_choice_type(self):
|
|
"""Test invalid tool choice type"""
|
|
messages = [{"role": "user", "content": "Hello"}]
|
|
with self.assertRaises(ValidationError):
|
|
ChatCompletionRequest(
|
|
model="test-model", messages=messages, tool_choice=123
|
|
)
|
|
|
|
def test_negative_token_limits(self):
|
|
"""Test negative token limits"""
|
|
with self.assertRaises(ValidationError):
|
|
CompletionRequest(model="test-model", prompt="Hello", max_tokens=-1)
|
|
|
|
def test_invalid_temperature_range(self):
|
|
"""Test invalid temperature values"""
|
|
# Note: The current protocol doesn't enforce temperature range,
|
|
# but this test documents expected behavior
|
|
request = CompletionRequest(model="test-model", prompt="Hello", temperature=5.0)
|
|
self.assertEqual(request.temperature, 5.0) # Currently allowed
|
|
|
|
def test_model_serialization_roundtrip(self):
|
|
"""Test that models can be serialized and deserialized"""
|
|
original_request = ChatCompletionRequest(
|
|
model="test-model",
|
|
messages=[{"role": "user", "content": "Hello"}],
|
|
temperature=0.7,
|
|
max_tokens=100,
|
|
)
|
|
|
|
# Serialize to dict
|
|
data = original_request.model_dump()
|
|
|
|
# Deserialize back
|
|
restored_request = ChatCompletionRequest(**data)
|
|
|
|
self.assertEqual(restored_request.model, original_request.model)
|
|
self.assertEqual(restored_request.temperature, original_request.temperature)
|
|
self.assertEqual(restored_request.max_tokens, original_request.max_tokens)
|
|
self.assertEqual(len(restored_request.messages), len(original_request.messages))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main(verbosity=2)
|