refactor(ai): 模組化重構 - NVIDIA chat 移至 NvidiaProvider

符合 feedback_lewooogo_modular_enforcement.md 規範:
- 移除 openclaw.py 中的 _call_nvidia() (重複邏輯)
- 新增 NvidiaProvider.chat() 方法
- 更新 INvidiaProvider Protocol
- openclaw.py 改用 get_nvidia_provider().chat()
- 測試移至 test_nvidia_chat.py

架構層次:
- Router → Service → Provider (正確)
- 禁止 Service 層重複實作已存在的 Provider 功能

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
OG T
2026-03-29 20:49:23 +08:00
parent 1eb0be8f3f
commit 04bfff9d19
7 changed files with 333 additions and 194 deletions

View File

@@ -461,76 +461,8 @@ class OpenClawService:
logger.warning("claude_call_failed", error=str(e))
return str(e), False
async def _call_nvidia(self, prompt: str) -> tuple[str, bool, int, float]:
"""
呼叫 NVIDIA Nemotron (OpenAI 相容格式)
2026-03-29 ogt: 新增 Nemotron 一般告警支援 (非 Tool Calling)
2026-03-29 ogt: P1 修復 - 從 ModelRegistry 取得模型名稱
Returns:
tuple: (response_text, success, total_tokens, cost_usd)
"""
if not settings.NVIDIA_API_KEY:
return "NVIDIA_API_KEY not configured", False, 0, 0.0
try:
client = await self._get_client()
# 從 ModelRegistry 取得模型 (P1-1 修復)
registry = get_model_registry()
model_name = registry.get_model("nvidia", "rca")
options = registry.get_provider_options("nvidia")
logger.info(
"nvidia_request_start",
model=model_name,
prompt_length=len(prompt),
)
response = await client.post(
"https://integrate.api.nvidia.com/v1/chat/completions",
headers={
"Authorization": f"Bearer {settings.NVIDIA_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": model_name,
"messages": [{"role": "user", "content": prompt}],
"temperature": options.get("temperature", 0.1),
"max_tokens": options.get("max_tokens", 2048),
"response_format": {"type": "json_object"}, # 強制 JSON
},
timeout=60.0,
)
response.raise_for_status()
data = response.json()
text = data["choices"][0]["message"]["content"]
# Token 用量
usage = data.get("usage", {})
prompt_tokens = usage.get("prompt_tokens", 0)
completion_tokens = usage.get("completion_tokens", 0)
total_tokens = usage.get("total_tokens", prompt_tokens + completion_tokens)
# NVIDIA NIM 免費 tier = $0
cost_usd = 0.0
logger.info(
"nvidia_response_received",
model=model_name,
response_length=len(text),
prompt_tokens=prompt_tokens,
completion_tokens=completion_tokens,
total_tokens=total_tokens,
cost_usd=f"${cost_usd:.6f}",
)
return text, True, total_tokens, cost_usd
except Exception as e:
logger.warning("nvidia_call_failed", error=str(e), error_type=type(e).__name__)
return str(e), False, 0, 0.0
# 2026-03-29 ogt: _call_nvidia 已移至 nvidia_provider.py
# 符合模組化規範 - 所有 NVIDIA API 呼叫統一由 NvidiaProvider 處理
# =========================================================================
# Mock LLM - Intelligent Fallback with SignOz Data
@@ -948,8 +880,10 @@ class OpenClawService:
elif provider == "gemini":
response, success, total_tokens, cost_usd = await self._call_gemini(prompt)
elif provider == "nvidia":
# 2026-03-29 ogt: Nemotron 一般告警支援
response, success, total_tokens, cost_usd = await self._call_nvidia(prompt)
# 2026-03-29 ogt: 使用 NvidiaProvider.chat() (模組化規範)
from src.services.nvidia_provider import get_nvidia_provider
nvidia_provider = get_nvidia_provider()
response, success, total_tokens, cost_usd = await nvidia_provider.chat(prompt)
elif provider == "claude":
response, success = await self._call_claude(prompt)
else: