Refactor: update ai hedge fund with latest apis and validated natural language to base model conversion

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Pull Request Overview

This PR refactors the AI hedge fund agent to use the latest APIs and implements validated natural language to base model conversion. It modernizes the integration by replacing the legacy A2A server approach with a new decorator-based agent system and adds support for remote agent connections.

Key changes:

• Refactored AI hedge fund agent to use new decorator-based architecture with natural language parsing
• Added comprehensive remote agent connection management with config loading
• Updated BaseAgent to remove Pydantic dependencies and simplify the interface

Reviewed Changes

Copilot reviewed 11 out of 12 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
python/valuecell/core/agent/types.py	Simplified BaseAgent by removing Pydantic inheritance and agent metadata fields
python/valuecell/core/agent/connect.py	Added extensive remote agent management functionality including config loading and card resolution
python/valuecell/core/agent/decorator.py	Enhanced error handling with detailed failure messages instead of generic ServerError
python/third_party/ai-hedge-fund/adapter/main.py	Complete rewrite using new decorator-based architecture with natural language request parsing
python/third_party/ai-hedge-fund/adapter/test_client.py	Added analyst selection support and improved parameter handling
python/pyproject.toml	Added agno dependency for the new agent framework
python/configs/agent_cards/hedge_fund_agent.json	Created remote agent configuration file
python/third_party/ai-hedge-fund/launch_adapter.sh	Added launch script for the hedge fund adapter

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