メモリ＆ツール対応 W判定版
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1 changed files with 108 additions and 33 deletions
141
oproxy.py
141
oproxy.py
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@ -1,6 +1,14 @@
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# バージョン情報: Python 3.12+ / FastAPI 0.115.0 / uvicorn 0.30.0 / httpx 0.28.0
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import httpx, asyncio, json, sys, threading, os, argparse, re
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import argparse
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import asyncio
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import json
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import os
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import re
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import sys
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import threading
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from datetime import datetime
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import httpx
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import uvicorn
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from fastapi import FastAPI, Request
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from starlette.responses import StreamingResponse
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@ -8,17 +16,41 @@ from starlette.responses import StreamingResponse
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app = FastAPI()
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# --- カラー・設定 ---
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C_GRAY = "\033[90m" # タイムスタンプ用
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C_CYAN, C_GREEN, C_YELLOW, C_RED, C_RESET = "\033[96m", "\033[92m", "\033[93m", "\033[91m", "\033[0m"
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C_GRAY, C_CYAN, C_GREEN, C_YELLOW, C_RED, C_RESET = (
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"\033[90m",
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"\033[96m",
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"\033[92m",
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"\033[93m",
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"\033[91m",
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"\033[0m",
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)
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DEFAULT_REMOTE_PORT, DEFAULT_LOCAL_PORT = 11430, 11434
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MEM_LIMIT = 16.8
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CONFIG = {"url": f"http://127.0.0.1:{DEFAULT_REMOTE_PORT}", "timeout": httpx.Timeout(None)}
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CONFIG = {
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"url": f"http://127.0.0.1:{DEFAULT_REMOTE_PORT}",
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"timeout": httpx.Timeout(None),
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}
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def get_ts():
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"""現在の時刻を [HH:MM:SS.ms] 形式で返す"""
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return f"{C_GRAY}[{datetime.now().strftime('%H:%M:%S.%f')[:-3]}]{C_RESET}"
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async def check_tool_support(client, model_name):
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"""モデルがツール(Function Calling)をサポートしているか検証"""
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try:
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res = await client.post(f"{CONFIG['url']}/api/show", json={"name": model_name})
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if res.status_code == 200:
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info = res.json()
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# テンプレートや詳細情報から 'tool' の記述を探す
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details = str(info.get("template", "")) + str(info.get("details", ""))
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return "tool" in details.lower() or "functions" in details.lower()
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except:
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pass
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return False
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@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
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async def sticky_proxy(path: str, request: Request):
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print(f"\n{get_ts()} /{path}: ", end="", flush=True)
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@ -28,25 +60,37 @@ async def sticky_proxy(path: str, request: Request):
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print(f"{C_CYAN}^{C_RESET}", end="", flush=True)
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print(f"{C_YELLOW}|{C_RESET}", end="", flush=True)
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headers = {k: v for k, v in request.headers.items() if k.lower() not in ["host", "content-length"]}
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headers = {
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k: v
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for k, v in request.headers.items()
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if k.lower() not in ["host", "content-length"]
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}
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async def stream_response():
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try:
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async with httpx.AsyncClient(timeout=CONFIG["timeout"]) as client:
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async with client.stream(request.method, f"{CONFIG['url']}/{path}", content=body, headers=headers) as response:
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async with client.stream(
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request.method,
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f"{CONFIG['url']}/{path}",
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content=body,
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headers=headers,
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) as response:
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if response.status_code != 200:
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err_data = await response.aread()
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err_msg = err_data.decode(errors='ignore')
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memory_match = re.findall(r"(\d+\.?\d*\s*[GM]iB)", err_msg)
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report_content = f"### ❌ Ollama Error (HTTP {response.status_code})\n\n> {err_msg}\n\n"
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if "memory" in err_msg.lower() and len(memory_match) >= 2:
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report_content += f"**分析:** 要求 `{memory_match[0]}` に対し、空き `{memory_match[1]}`。モデルが大きすぎます。"
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elif "tools" in err_msg.lower():
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report_content += f"**分析:** このモデルは Cline が必要とする 'Tools (Function Calling)' に対応していません。"
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err_msg = err_data.decode(errors="ignore")
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# レポート生成
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report = f"### ❌ Ollama Error ({response.status_code})\n\n> {err_msg}\n\n"
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if "tools" in err_msg.lower():
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report += "#### 💡 原因: ツール非対応\nこのモデルは Cline の自動操作に必要な `Tools` 機能を持っていません。Llama 3.1 等への変更を推奨します。"
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print(f" {C_RED}{err_msg}{C_RESET}")
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fake_response = json.dumps({"message": {"role": "assistant", "content": report_content}, "done": True})
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yield fake_response.encode()
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yield json.dumps(
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{
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"message": {"role": "assistant", "content": report},
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"done": True,
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}
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).encode()
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return
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print(f"{C_GREEN}v:{C_RESET}", end="", flush=True)
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@ -59,36 +103,65 @@ async def sticky_proxy(path: str, request: Request):
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return StreamingResponse(stream_response())
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async def check_connection():
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url = CONFIG["url"]
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print(f"{get_ts()} {C_YELLOW}[Check] {url} への接続を確認中...{C_RESET}")
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print(f"{get_ts()} {C_YELLOW}[Check] {url} 接続確認 & 性能分析中...{C_RESET}")
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try:
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async with httpx.AsyncClient(timeout=5.0) as client:
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async with httpx.AsyncClient(timeout=10.0) as client:
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res = await client.get(f"{url}/api/tags")
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if res.status_code == 200:
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models = res.json().get('models', [])
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print(f"{get_ts()} {C_GREEN}--- リモートモデル一覧 (判定基準: {MEM_LIMIT} GiB) ---{C_RESET}")
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models = res.json().get("models", [])
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print(
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f"{get_ts()} {C_GREEN}--- リモートモデル戦力分析 (基準: {MEM_LIMIT}GiB + Tool対応) ---{C_RESET}"
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)
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for m in models:
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name = m['name']
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size_gb = m['size'] / (1024**3)
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name = m["name"]
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size_gb = m["size"] / (1024**3)
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# ツール対応を非同期でチェック
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has_tool = await check_tool_support(client, name)
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# 判定ロジック
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reasons = []
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if size_gb > MEM_LIMIT:
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color, status = C_RED, "❌ OVER"
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elif size_gb > MEM_LIMIT * 0.8:
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color, status = C_YELLOW, "⚠️ RISKY"
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reasons.append("MEM_OVER")
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if not has_tool:
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reasons.append("NO_TOOL")
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if not reasons:
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color, status = C_GREEN, "✅ READY"
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elif "MEM_OVER" in reasons:
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color, status = C_RED, "❌ MEM "
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else:
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color, status = C_GREEN, "✅ OK"
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print(f"{get_ts()} {color}{status:<8} {name:<40} {size_gb:>6.1f} GiB{C_RESET}")
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print(f"{get_ts()} {C_GREEN}---------------------------------------------------{C_RESET}\n")
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color, status = C_YELLOW, "⚠️ TOOL" # メモリはOKだがツールがない
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tool_mark = (
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f"{C_CYAN}[TOOL]{C_RESET}"
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if has_tool
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else f"{C_GRAY}[----]{C_RESET}"
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)
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print(
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f"{get_ts()} {color}{status:<8}{C_RESET} {tool_mark} {name:<35} {size_gb:>5.1f} GiB"
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)
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print(
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f"{get_ts()} {C_GREEN}------------------------------------------------------------{C_RESET}\n"
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)
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return True
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except Exception as e:
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print(f"{get_ts()} {C_RED}!! 接続失敗 !!: {e}{C_RESET}\n")
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return False
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# (wait_for_quit と main は前回のロジックと同じですが、printを調整)
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# (main, wait_for_quit は変更なし)
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def wait_for_quit():
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while True:
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line = sys.stdin.readline()
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if line and line.strip().lower() == 'q': os._exit(0)
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if line and line.strip().lower() == "q":
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os._exit(0)
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def main():
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parser = argparse.ArgumentParser()
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@ -96,10 +169,12 @@ def main():
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parser.add_argument("-l", "--local", type=int, default=DEFAULT_LOCAL_PORT)
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args = parser.parse_args()
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CONFIG["url"] = f"http://127.0.0.1:{args.remote}"
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loop = asyncio.new_event_loop(); asyncio.set_event_loop(loop)
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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loop.run_until_complete(check_connection())
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threading.Thread(target=wait_for_quit, daemon=True).start()
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print(f"{get_ts()} L:{args.local} -> R:{args.remote} ('q'で終了)")
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uvicorn.run(app, host="127.0.0.1", port=args.local, log_level="error")
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if __name__ == "__main__": main()
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if __name__ == "__main__":
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main()
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