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https://github.com/fawney19/Aether.git
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- 新增 src/services/billing/ 模块,包含计费计算器、模板和使用量映射 - 将 ChatAdapterBase 和 CliAdapterBase 中的计费逻辑重构为调用 billing 模块 - 为每个 adapter 添加 BILLING_TEMPLATE 类属性,指定计费模板 - 支持 Claude/OpenAI/Gemini 三种计费模板,支持阶梯计费和缓存 TTL 定价 - 新增 tests/services/billing/ 单元测试
188 lines
6.8 KiB
Python
188 lines
6.8 KiB
Python
"""
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Gemini CLI Adapter - 基于通用 CLI Adapter 基类的实现
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继承 CliAdapterBase,处理 Gemini CLI 格式的请求。
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"""
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from typing import Any, AsyncIterator, Dict, Optional, Tuple, Type, Union
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import httpx
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from fastapi import Request
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from src.api.handlers.base.cli_adapter_base import CliAdapterBase, register_cli_adapter
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from src.api.handlers.base.cli_handler_base import CliMessageHandlerBase
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from src.api.handlers.gemini.adapter import GeminiChatAdapter
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from src.config.settings import config
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@register_cli_adapter
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class GeminiCliAdapter(CliAdapterBase):
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"""
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Gemini CLI API 适配器
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处理 Gemini CLI 格式的请求(透传模式,最小验证)。
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"""
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FORMAT_ID = "GEMINI_CLI"
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BILLING_TEMPLATE = "gemini" # 使用 Gemini 计费模板
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name = "gemini.cli"
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@property
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def HANDLER_CLASS(self) -> Type[CliMessageHandlerBase]:
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"""延迟导入 Handler 类避免循环依赖"""
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from src.api.handlers.gemini_cli.handler import GeminiCliMessageHandler
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return GeminiCliMessageHandler
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def __init__(self, allowed_api_formats: Optional[list[str]] = None):
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super().__init__(allowed_api_formats or ["GEMINI_CLI"])
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def extract_api_key(self, request: Request) -> Optional[str]:
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"""从请求中提取 API 密钥 (x-goog-api-key)"""
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return request.headers.get("x-goog-api-key")
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def _merge_path_params(
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self, original_request_body: Dict[str, Any], path_params: Dict[str, Any] # noqa: ARG002
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) -> Dict[str, Any]:
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"""
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合并 URL 路径参数到请求体 - Gemini CLI 特化版本
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Gemini API 特点:
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- model 不合并到请求体(Gemini 原生请求体不含 model,通过 URL 路径传递)
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- stream 不合并到请求体(Gemini API 通过 URL 端点区分流式/非流式)
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基类已经从 path_params 获取 model 和 stream 用于日志和路由判断。
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Args:
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original_request_body: 原始请求体字典
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path_params: URL 路径参数字典(包含 model、stream 等)
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Returns:
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原始请求体(不合并任何 path_params)
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"""
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# Gemini: 不合并任何 path_params 到请求体
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return original_request_body.copy()
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def _extract_message_count(self, payload: Dict[str, Any]) -> int:
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"""Gemini CLI 使用 contents 字段"""
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contents = payload.get("contents", [])
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return len(contents) if isinstance(contents, list) else 0
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def _build_audit_metadata(
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self,
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payload: Dict[str, Any],
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path_params: Optional[Dict[str, Any]] = None,
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) -> Dict[str, Any]:
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"""Gemini CLI 特定的审计元数据"""
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# 从 path_params 获取 model(Gemini 请求体不含 model)
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model = path_params.get("model", "unknown") if path_params else "unknown"
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contents = payload.get("contents", [])
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generation_config = payload.get("generation_config", {}) or {}
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role_counts: Dict[str, int] = {}
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for content in contents:
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role = content.get("role", "unknown") if isinstance(content, dict) else "unknown"
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role_counts[role] = role_counts.get(role, 0) + 1
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return {
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"action": "gemini_cli_request",
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"model": model,
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"stream": bool(payload.get("stream", False)),
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"max_output_tokens": generation_config.get("max_output_tokens"),
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"contents_count": len(contents),
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"content_roles": role_counts,
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"temperature": generation_config.get("temperature"),
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"top_p": generation_config.get("top_p"),
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"top_k": generation_config.get("top_k"),
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"tools_count": len(payload.get("tools") or []),
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"system_instruction_present": bool(payload.get("system_instruction")),
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"safety_settings_count": len(payload.get("safety_settings") or []),
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}
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# =========================================================================
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# 模型列表查询
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# =========================================================================
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@classmethod
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async def fetch_models(
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cls,
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client: httpx.AsyncClient,
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base_url: str,
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api_key: str,
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extra_headers: Optional[Dict[str, str]] = None,
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) -> Tuple[list, Optional[str]]:
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"""查询 Gemini API 支持的模型列表(带 CLI User-Agent)"""
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# 复用 GeminiChatAdapter 的实现,添加 CLI User-Agent
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cli_headers = {"User-Agent": config.internal_user_agent_gemini_cli}
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if extra_headers:
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cli_headers.update(extra_headers)
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models, error = await GeminiChatAdapter.fetch_models(
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client, base_url, api_key, cli_headers
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)
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# 更新 api_format 为 CLI 格式
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for m in models:
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m["api_format"] = cls.FORMAT_ID
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return models, error
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@classmethod
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def build_endpoint_url(cls, base_url: str, request_data: Dict[str, Any], model_name: Optional[str] = None) -> str:
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"""构建Gemini CLI API端点URL"""
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effective_model_name = model_name or request_data.get("model", "")
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if not effective_model_name:
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raise ValueError("Model name is required for Gemini API")
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base_url = base_url.rstrip("/")
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if base_url.endswith("/v1beta"):
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prefix = base_url
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else:
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prefix = f"{base_url}/v1beta"
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return f"{prefix}/models/{effective_model_name}:generateContent"
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@classmethod
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def build_base_headers(cls, api_key: str) -> Dict[str, str]:
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"""构建Gemini CLI API认证头"""
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return {
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"x-goog-api-key": api_key,
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"Content-Type": "application/json",
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}
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@classmethod
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def get_protected_header_keys(cls) -> tuple:
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"""返回Gemini CLI API的保护头部key"""
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return ("x-goog-api-key", "content-type")
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@classmethod
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def build_request_body(cls, request_data: Dict[str, Any]) -> Dict[str, Any]:
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"""构建Gemini CLI API请求体"""
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return {
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"contents": request_data.get("messages", []),
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"generationConfig": {
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"maxOutputTokens": request_data.get("max_tokens", 100),
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"temperature": request_data.get("temperature", 0.7),
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},
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"safetySettings": [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"}
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],
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}
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@classmethod
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def get_cli_user_agent(cls) -> Optional[str]:
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"""获取Gemini CLI User-Agent"""
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return config.internal_user_agent_gemini_cli
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def build_gemini_cli_adapter(x_app_header: str = "") -> GeminiCliAdapter:
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"""
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构建 Gemini CLI 适配器
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Args:
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x_app_header: X-App 请求头值(预留扩展)
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Returns:
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GeminiCliAdapter 实例
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"""
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return GeminiCliAdapter()
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__all__ = ["GeminiCliAdapter", "build_gemini_cli_adapter"]
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