feat: add solve_task.py direct solver and fix MCP rate limit issues

- Add solve_task.py: fast direct solver (1 LLM call per task, no deepagents overhead)
- Add RetryOnRateLimitMiddleware: auto-retry on 429 from any tool
- Fix double MCP load: __init__.py cleared, pipeline reuses agent.py journal tools
- Fix proxy: add NO_PROXY for openrouter.ai, platform.brojs.ru, git.brojs.ru
- Add utility scripts: get_task_ids.py, read_tasks.py
- Update run_pipeline.py: TARGET_IDS support, unbuffered output

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

get_task_ids.py

@@ -0,0 +1,24 @@
+import asyncio, json, os
+os.environ["NO_PROXY"] = "openrouter.ai,platform.brojs.ru,git.brojs.ru," + os.environ.get("NO_PROXY", "")
+from dotenv import load_dotenv
+load_dotenv()
+from src.agent.mcp_client import load_journal_toolsets, JOURNAL_PREFIX
+from src.agent.constants import COURSE_ID
+
+async def main():
+    j = load_journal_toolsets()
+    tool = next(t for t in j.tasks_submissions_tools if t.name == f"{JOURNAL_PREFIX}tasks_list")
+    raw = await tool.ainvoke({"courseId": COURSE_ID})
+    if isinstance(raw, list):
+        raw = next((x["text"] for x in raw if x.get("type") == "text"), str(raw))
+    data = json.loads(raw) if isinstance(raw, str) else raw
+    items = data.get("tasks", data) if isinstance(data, dict) else data
+    for item in items:
+        t = item.get("task", item) if isinstance(item, dict) else {}
+        tid = t.get("id", "")
+        status = item.get("status", "")
+        title = t.get("title", "")
+        if status == "todo":
+            print(f"TODO  {tid}  {title}")
+
+asyncio.run(main())