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>

read_tasks.py

@@ -0,0 +1,25 @@
+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
+
+TASK_IDS = [
+    "6a1864fd",  # Планирующий агент
+    "6a186500",  # Структурированный вывод (Pydantic)
+    "6a1864f7",  # RAG-агент с ChromaDB
+    "6a1864fa",  # Самокорректирующийся агент
+]
+
+async def main():
+    j = load_journal_toolsets()
+    text_tool = next(t for t in j.tasks_submissions_tools if t.name == f"{JOURNAL_PREFIX}task_text")
+    for tid in TASK_IDS:
+        raw = await text_tool.ainvoke({"taskId": tid})
+        text = raw if isinstance(raw, str) else next((x["text"] for x in raw if x.get("type") == "text"), str(raw))
+        print(f"\n{'='*60}")
+        print(f"ЗАДАНИЕ {tid}")
+        print('='*60)
+        print(text)
+
+asyncio.run(main())