feat: 补充 OpenAI 枚举参数和边界越界测试

- service_tier: 补充 flex, priority 测试
- reasoning_effort: 补充 none, minimal 测试
- verbosity: 补充 medium, high 测试
- 边界越界测试: frequency_penalty, presence_penalty, top_p, n
- core.py: http_stream_request 支持 method 参数
- Anthropic: 补充 content_block_start 事件验证

scripts/core.py

@@ -140,7 +140,8 @@ def http_stream_request(
     headers: Optional[Dict[str, str]] = None,
     body: Optional[Any] = None,
     ssl_ctx: Optional[ssl.SSLContext] = None,
-    retries: int = MAX_RETRIES
+    retries: int = MAX_RETRIES,
+    method: str = "POST"
 ) -> TestResult:
     """执行流式 HTTP 请求 (SSE，支持重试)
 
@@ -150,11 +151,12 @@ def http_stream_request(
         body: 请求体 (dict)
         ssl_ctx: SSL 上下文
         retries: 重试次数
+        method: HTTP 方法 (默认 POST)
 
     Returns:
         TestResult 对象
     """
-    req = urllib.request.Request(url, method="POST")
+    req = urllib.request.Request(url, method=method)
     if headers:
         for k, v in headers.items():
             req.add_header(k, v)

scripts/detect_anthropic.py

@@ -262,6 +262,18 @@ def validate_anthropic_streaming_response(response_text: str) -> Tuple[bool, Lis
         elif event_type == "message_stop":
             has_message_stop = True
 
+        elif event_type == "content_block_start":
+            if "index" not in event:
+                errors.append(f"content_block_start 事件缺少 index 字段")
+            if "content_block" not in event:
+                errors.append(f"content_block_start 事件缺少 content_block 字段")
+            elif not isinstance(event["content_block"], dict):
+                errors.append(f"content_block_start 事件的 content_block 不是对象")
+            else:
+                cb = event["content_block"]
+                if "type" not in cb:
+                    errors.append(f"content_block_start.content_block 缺少 type 字段")
+
         elif event_type == "content_block_delta":
             if "delta" not in event:
                 errors.append(f"content_block_delta 事件缺少 delta 字段")

scripts/detect_openai.py

@@ -564,6 +564,102 @@ def main():
             "temperature": 2.5
         }
     ))
+    cases.append(TestCase(
+        desc="frequency_penalty 超出范围 (3.0)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "frequency_penalty": 3.0
+        }
+    ))
+    cases.append(TestCase(
+        desc="frequency_penalty 超出范围 (-3.0)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "frequency_penalty": -3.0
+        }
+    ))
+    cases.append(TestCase(
+        desc="presence_penalty 超出范围 (3.0)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "presence_penalty": 3.0
+        }
+    ))
+    cases.append(TestCase(
+        desc="presence_penalty 超出范围 (-3.0)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "presence_penalty": -3.0
+        }
+    ))
+    cases.append(TestCase(
+        desc="top_p 超出范围 (1.5)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "top_p": 1.5
+        }
+    ))
+    cases.append(TestCase(
+        desc="top_p 超出范围 (-0.1)",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "top_p": -0.1
+        }
+    ))
+    cases.append(TestCase(
+        desc="n 为负数",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "n": -1
+        }
+    ))
+    cases.append(TestCase(
+        desc="n 为 0",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "n": 0
+        }
+    ))
 
     # ---- --vision ----
     if args.vision:
@@ -807,7 +903,7 @@ def main():
 
     # reasoning_effort: 推理努力级别（需要模型支持）
     cases.append(TestCase(
-        desc="reasoning_effort: medium",
+        desc="reasoning_effort: none",
         method="POST",
         url=chat_url,
         headers=headers,
@@ -815,7 +911,20 @@ def main():
             "model": model,
             "messages": [{"role": "user", "content": "1+1=?"}],
             "max_tokens": 10,
-            "reasoning_effort": "medium"
+            "reasoning_effort": "none"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
+    cases.append(TestCase(
+        desc="reasoning_effort: minimal",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "1+1=?"}],
+            "max_tokens": 10,
+            "reasoning_effort": "minimal"
         },
         validator=validate_openai_chat_completion_response
     ))
@@ -832,6 +941,19 @@ def main():
         },
         validator=validate_openai_chat_completion_response
     ))
+    cases.append(TestCase(
+        desc="reasoning_effort: medium",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "1+1=?"}],
+            "max_tokens": 10,
+            "reasoning_effort": "medium"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
     cases.append(TestCase(
         desc="reasoning_effort: high",
         method="POST",
@@ -873,6 +995,32 @@ def main():
         },
         validator=validate_openai_chat_completion_response
     ))
+    cases.append(TestCase(
+        desc="service_tier: flex",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "service_tier": "flex"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
+    cases.append(TestCase(
+        desc="service_tier: priority",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 5,
+            "service_tier": "priority"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
 
     # verbosity: 冗长程度
     cases.append(TestCase(
@@ -888,6 +1036,32 @@ def main():
         },
         validator=validate_openai_chat_completion_response
     ))
+    cases.append(TestCase(
+        desc="verbosity: medium",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "介绍一下Python"}],
+            "max_tokens": 50,
+            "verbosity": "medium"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
+    cases.append(TestCase(
+        desc="verbosity: high",
+        method="POST",
+        url=chat_url,
+        headers=headers,
+        body={
+            "model": model,
+            "messages": [{"role": "user", "content": "介绍一下Python"}],
+            "max_tokens": 50,
+            "verbosity": "high"
+        },
+        validator=validate_openai_chat_completion_response
+    ))
 
     # ---- 执行测试 ----
     flags = []