sdk/cli: agentic rl

[lzsweb]

Description

[Describe what this PR does and why]

Related Issue: Fixes #[issue_number] or Relates to #[issue_number]

Security Considerations: [Check if API keys or sensitive credentials are exposed in code/logs]

Type of Change

• Bug fix
• New feature
• Breaking change
• Documentation
• Refactoring

Component(s) Affected

• Model
• Application
• Common
• Documentation
• Tests
• CI/CD

Checklist

• Pre-commit hooks pass
• Tests pass locally
• Documentation updated (if needed)
• Ready for review

Testing

[How to test these changes]

Additional Notes

[Optional: any other context]

[gemini-code-assist]

Code Review

This pull request introduces a comprehensive Agentic Reinforcement Learning (RL) framework, including a new AgenticRL client, a Typer-based CLI, and modular components for rollout and reward processing with integrated OpenTelemetry tracing. Key improvements identified in the review include replacing blocking time.sleep() calls with asyncio.sleep() in asynchronous contexts, correcting return type hints for function registration, and avoiding variable shadowing of the zipfile module. Additionally, suggestions were made to optimize memory usage during file uploads by using streaming and to avoid accessing private attributes of the ThreadPoolExecutor.