feat: anthropic llm

[suluyana]

[gemini-code-assist]

Summary of Changes

Hello @suluyana, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly expands the LLM capabilities by integrating Anthropic models, allowing the system to leverage another powerful AI provider. Alongside this new feature, a minor refactoring was performed to centralize a shared configuration constant, improving code reusability and maintainability across different LLM modules.

Highlights

• New Anthropic LLM Integration: Introduced a new module ms_agent/llm/anthropic_llm.py to support Anthropic Large Language Models. This includes methods for formatting tools, converting messages to Anthropic's API format, making API calls, and processing responses, including tool calls.
• Refactoring of MAX_CONTINUE_RUNS: The MAX_CONTINUE_RUNS constant has been moved from ms_agent/llm/openai_llm.py to a more central location in ms_agent/utils/__init__.py. This makes the constant accessible across different LLM implementations and promotes better code organization.

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[gemini-code-assist]

Code Review

This pull request adds support for Anthropic LLMs by creating a new Anthropic class that wraps the Anthropic API. The implementation correctly formats messages and tools for the API. Additionally, it refactors the MAX_CONTINUE_RUNS constant to a central location, which is a good improvement. My review focuses on the new anthropic_llm.py file, where I've identified some areas for improvement, including an unimplemented streaming feature, some unused code, and inconsistencies in docstring languages. Addressing these points will help finalize this new feature.