add run/check scripts and revert llm to OpenRouter

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

check_tasks.py

@@ -0,0 +1,30 @@
+import asyncio, json
+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"), None)
+    if not tool:
+        print("tasks_list not found")
+        return
+    raw = await tool.ainvoke({"courseId": COURSE_ID})
+    if isinstance(raw, list):
+        for item in raw:
+            if isinstance(item, dict) and item.get("type") == "text":
+                raw = item.get("text", "")
+                break
+    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", "")
+        print(f"  {tid[:8]}  {status:25}  {title}")
+
+
+asyncio.run(main())

list_repos.py

@@ -0,0 +1,9 @@
+from dotenv import load_dotenv
+load_dotenv()
+from src.agent.gitea_tools import _get
+from src.agent.constants import GITEA_OWNER
+
+result = _get("/api/v1/repos/search", limit=50, token="")
+repos = result.get("data", result) if isinstance(result, dict) else result
+for r in sorted(repos, key=lambda x: x.get("updated", ""), reverse=True):
+    print(f"  {r.get('name',''):40}  {r.get('updated','')[:10]}")

run_pipeline.py

@@ -0,0 +1,34 @@
+"""Запуск пайплайна для выполнения заданий курса."""
+import asyncio
+import sys
+import os
+
+os.environ["PYTHONIOENCODING"] = "utf-8"
+
+from dotenv import load_dotenv
+load_dotenv()
+
+from langchain_core.messages import HumanMessage
+from src.agent.graph.pipeline import pipeline
+
+
+async def main():
+    print("=== Запуск пайплайна BroJS ===")
+    result = await pipeline.ainvoke(
+        {
+            "tasks": [],
+            "current_index": 0,
+            "results": [],
+            "errors": [],
+        },
+        {"configurable": {"thread_id": "pipeline-main"}},
+    )
+    print("\n=== Результат пайплайна ===")
+    for r in result.get("results", []):
+        print(f"  Task {r['task_id'][:8]}: {r['status']} (mode={r['mode']}, retries={r['retries']})")
+    for e in result.get("errors", []):
+        print(f"  ОШИБКА: {e}")
+    print("=== Готово ===")
+
+
+asyncio.run(main())

src/agent/llm.py

@@ -1,4 +1,4 @@
-"""Инициализация LLM через BroJS Inference API (токены учитываются на платформе)."""
+"""Инициализация LLM через OpenRouter."""
 import os
 
 from dotenv import load_dotenv
@@ -6,11 +6,9 @@ from langchain_openai import ChatOpenAI
 
 load_dotenv()
 
-# Используем BroJS Inference API — тот же JOURNAL_TOKEN (jrnl_...)
-# Токены учитываются на платформе platform.brojs.ru
 llm = ChatOpenAI(
     model="openai/gpt-oss-20b:free",
-    base_url="https://platform.brojs.ru/jrnl-bh/api/inference/v1",
+    base_url="https://openrouter.ai/api/v1",
-    api_key=os.getenv("JOURNAL_TOKEN", "YOUR_JOURNAL_TOKEN_HERE"),
+    api_key=os.getenv("OPENAI_API_KEY", "YOUR_OPENROUTER_KEY_HERE"),
     temperature=0.0,
 )