agents

1. codeAgent - smolagents framework with watsonx.ai models , via LiteLLM

• smolagents Framework: smolagents specializes in agents that write and execute Python code snippets, offering sandboxed execution for security. It supports both local and API-based language models, making it adaptable to various development environments.

• watsonx.ai: Models (Inference provider)

• LiteLLM: Supports Calling all LLM APIs using the OpenAI format

Notes:

For secure code execution

https://huggingface.co/docs/smolagents/tutorials/secure_code_execution - E2B is an option

For smolagents

https://huggingface.co/docs/smolagents/v1.8.1/en/reference/tools#smolagents.Tool

tool tutorials ****

https://huggingface.co/docs/smolagents/tutorials/tools

Building good agents

https://huggingface.co/docs/smolagents/tutorials/building_good_agents

mcsp Servers ***:

https://github.com/github/github-mcp-server

https://github.com/modelcontextprotocol/servers/tree/main/src/slack

https://github.com/modelcontextprotocol/servers/tree/main/src/redis

https://github.com/modelcontextprotocol/servers

https://github.com/Vortiago/mcp-azure-devops

https://github.com/VectorInstitute/mcp-goodnews

https://github.com/manusa/kubernetes-mcp-server ***

https://github.com/pab1it0/prometheus-mcp-server

https://github.com/modelcontextprotocol/servers/tree/main/src/slack

https://github.com/modelcontextprotocol/servers/tree/main/src/git