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>

src/agent/agent.py

@@ -12,7 +12,7 @@ from src.agent.constants import (
 from src.agent.gitea_tools import GITEA_TOOLS
 from src.agent.llm import llm
 from src.agent.mcp_client import load_journal_toolsets
-from src.agent.middlewares import SanitizeToolCallsMiddleware, ValidateJournalWorkflowMiddleware
+from src.agent.middlewares import RetryOnRateLimitMiddleware, SanitizeToolCallsMiddleware, ValidateJournalWorkflowMiddleware
 from src.agent.prompts import (
     homework_doing_instructions,
     main_agent_instructions,
@@ -129,6 +129,7 @@ homework_direct_agent = create_deep_agent(
     system_prompt=homework_doing_instructions,
     backend=_composite_backend,
     middleware=[
+        RetryOnRateLimitMiddleware(),
         SanitizeToolCallsMiddleware(known_tools=_subagent_tool_names["homework_doing"]),
         ValidateJournalWorkflowMiddleware(),
     ],
@@ -144,6 +145,7 @@ rework_agent = create_deep_agent(
     system_prompt=rework_instructions,
     backend=_composite_backend,
     middleware=[
+        RetryOnRateLimitMiddleware(),
         SanitizeToolCallsMiddleware(known_tools=_subagent_tool_names["homework_doing"]),
         ValidateJournalWorkflowMiddleware(),
     ],