Add Codex MCP multi-LLM workflow builder, guide, and provider agents

[2-Coatl]

Summary

• add the CodexMCPWorkflow builder with provider-aware briefs and expose it from the orchestrators package
• document Codex MCP single and multi agent workflows, update the ExecPlan, and publish the new agent catalog entry
• extend documentation alignment tests to protect the new guide and cross-linking
• add ClaudeAgent, ChatGPTAgent, and HuggingFaceAgent fichas while updating the SDLC guide, ExecPlan, and alignment tests to keep multi-LLM workflows consistent

Testing

• pytest scripts/coding/tests/ai/orchestrators/test_codex_mcp_workflow.py
• pytest docs/testing/test_documentation_alignment.py

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Codex Task

[chatgpt-codex-connector]

💡 Codex Review

https://github.com/2-Coatl/IACT---project/blob/f7f20aec6ceba22f507e4c508225e350324923b9/scripts/coding/ai/generators/llm_generator.py#L150-L152
Fix .env lookup path in LLMGenerator

_load_env_variables assumes the repository root is only three directories above llm_generator.py (project_root = current_dir.parent.parent.parent). Because this module actually lives under scripts/coding/ai/generators, walking up three levels lands in the scripts/ folder rather than the repo root, so the function always looks for scripts/.env instead of the real ./.env. As a result the promised automatic API‑key loading never happens unless contributors duplicate their .env file inside scripts/, and the subsequent validation logic will keep flagging missing keys even though they exist at the repository root. Please compute the root with one more .parent (or via Path(__file__).resolve().parents[...]) so the correct .env is read.

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