Glevel
7804122b7e
- 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>
26 lines
988 B
Python
26 lines
988 B
Python
import asyncio, json, os
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os.environ["NO_PROXY"] = "openrouter.ai,platform.brojs.ru,git.brojs.ru," + os.environ.get("NO_PROXY", "")
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from dotenv import load_dotenv
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load_dotenv()
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from src.agent.mcp_client import load_journal_toolsets, JOURNAL_PREFIX
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TASK_IDS = [
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"6a1864fd", # Планирующий агент
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"6a186500", # Структурированный вывод (Pydantic)
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"6a1864f7", # RAG-агент с ChromaDB
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"6a1864fa", # Самокорректирующийся агент
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]
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async def main():
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j = load_journal_toolsets()
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text_tool = next(t for t in j.tasks_submissions_tools if t.name == f"{JOURNAL_PREFIX}task_text")
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for tid in TASK_IDS:
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raw = await text_tool.ainvoke({"taskId": tid})
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text = raw if isinstance(raw, str) else next((x["text"] for x in raw if x.get("type") == "text"), str(raw))
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print(f"\n{'='*60}")
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print(f"ЗАДАНИЕ {tid}")
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print('='*60)
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print(text)
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asyncio.run(main())
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