mirror of
https://github.com/fawney19/Aether.git
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- Delete unused ResponseNormalizer class and its initialization logic - Remove response_normalizer and enable_response_normalization parameters from handlers - Simplify chat adapter base initialization by removing normalizer setup - Clean up unused imports in handler modules
136 lines
4.2 KiB
Python
136 lines
4.2 KiB
Python
"""
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Claude Chat Handler - 基于通用 Chat Handler 基类的简化实现
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继承 ChatHandlerBase,只需覆盖格式特定的方法。
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代码量从原来的 ~1470 行减少到 ~120 行。
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"""
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from typing import Any, Dict, Optional
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from src.api.handlers.base.chat_handler_base import ChatHandlerBase
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from src.api.handlers.base.utils import extract_cache_creation_tokens
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class ClaudeChatHandler(ChatHandlerBase):
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"""
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Claude Chat Handler - 处理 Claude Chat/CLI API 格式的请求
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格式特点:
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- 使用 input_tokens/output_tokens
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- 支持 cache_creation_input_tokens/cache_read_input_tokens
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- 请求格式:ClaudeMessagesRequest
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"""
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FORMAT_ID = "CLAUDE"
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def extract_model_from_request(
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self,
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request_body: Dict[str, Any],
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path_params: Optional[Dict[str, Any]] = None, # noqa: ARG002
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) -> str:
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"""
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从请求中提取模型名 - Claude 格式实现
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Claude API 的 model 在请求体顶级字段。
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Args:
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request_body: 请求体
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path_params: URL 路径参数(Claude 不使用)
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Returns:
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模型名
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"""
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model = request_body.get("model")
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return str(model) if model else "unknown"
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def apply_mapped_model(
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self,
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request_body: Dict[str, Any],
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mapped_model: str,
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) -> Dict[str, Any]:
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"""
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将映射后的模型名应用到请求体
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Claude API 的 model 在请求体顶级字段。
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Args:
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request_body: 原始请求体
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mapped_model: 映射后的模型名
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Returns:
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更新了 model 字段的请求体
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"""
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result = dict(request_body)
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result["model"] = mapped_model
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return result
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async def _convert_request(self, request: Any) -> Any:
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"""
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将请求转换为 Claude 格式
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Args:
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request: 原始请求对象
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Returns:
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ClaudeMessagesRequest 对象
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"""
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from src.api.handlers.claude.converter import OpenAIToClaudeConverter
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from src.models.claude import ClaudeMessagesRequest
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from src.models.openai import OpenAIRequest
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# 如果已经是 Claude 格式,直接返回
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if isinstance(request, ClaudeMessagesRequest):
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return request
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# 如果是 OpenAI 格式,转换为 Claude 格式
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if isinstance(request, OpenAIRequest):
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converter = OpenAIToClaudeConverter()
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claude_dict = converter.convert_request(request.dict())
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return ClaudeMessagesRequest(**claude_dict)
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# 如果是字典,根据内容判断格式
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if isinstance(request, dict):
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if "messages" in request and len(request["messages"]) > 0:
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first_msg = request["messages"][0]
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if "role" in first_msg and "content" in first_msg:
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# 可能是 OpenAI 格式
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converter = OpenAIToClaudeConverter()
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claude_dict = converter.convert_request(request)
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return ClaudeMessagesRequest(**claude_dict)
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# 否则假设已经是 Claude 格式
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return ClaudeMessagesRequest(**request)
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return request
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def _extract_usage(self, response: Dict) -> Dict[str, int]:
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"""
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从 Claude 响应中提取 token 使用情况
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Claude 格式使用:
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- input_tokens / output_tokens
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- cache_creation_input_tokens / cache_read_input_tokens
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- 新格式:claude_cache_creation_5_m_tokens / claude_cache_creation_1_h_tokens
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"""
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usage = response.get("usage", {})
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return {
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"input_tokens": usage.get("input_tokens", 0),
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"output_tokens": usage.get("output_tokens", 0),
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"cache_creation_input_tokens": extract_cache_creation_tokens(usage),
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"cache_read_input_tokens": usage.get("cache_read_input_tokens", 0),
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}
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def _normalize_response(self, response: Dict[str, Any]) -> Dict[str, Any]:
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"""
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规范化 Claude 响应
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Args:
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response: 原始响应
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Returns:
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规范化后的响应
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"""
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# 作为中转站,直接透传响应,不做标准化处理
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return response
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