feat: Add Agents Setup and Documentation Sync (#109)

[prasiddhi-105]

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Linked issue

Closes #109

What this PR does

This PR introduces a standardized operational architecture for PatchPilot's background monitoring components. It introduces a modular environment management configuration file (agents.py) for orchestrating framework task blocks, installs foundational tracking utilities via updated backend dependencies, and appends the core AGENTS.md system blueprint documentation for clear onboarding.

Type of change

• Bug fix
• New feature
• ML model / training pipeline
• Refactor (no behaviour change)
• Documentation
• Tests only

ML tier (if applicable)

• Tier 1 — Triage
• Tier 2 — Predictive
• Tier 3 — Autonomous
• Not ML-related

Stack affected

• Backend
• Frontend
• Both

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Changes

Backend

• Added PatchPilotAgentManager implementation (backend/app/agents.py): Built a clean management layout to safely configure, isolate, and list active runtime skill blocks.
• Added Ecosystem Documentation (backend/AGENTS.md): Established a central design matrix document detailing configuration profiles and execution strategies.
• Updated backend/requirements.txt: Appended the foundational langchain-core workspace environment requirement.

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Testing

How did you test this?

Verified locally that the Python module instantiates properly without unhandled exception flags. Validated that langchain-core resolves flawlessly into the virtual environment layer and that local git branch components are explicitly isolated.

Checklist

• Tested locally end-to-end (upload ZIP or GitHub URL → scan → findings returned correctly)
• New ML model falls back gracefully when model file is absent
• No new console.error or unhandled Python exceptions introduced
• Added or updated tests where applicable
• requirements.txt / package.json updated if new dependencies added
• New model files (.pkl, .pt, etc.) are gitignored, not committed

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Anything reviewers should focus on

Reviewers can verify that the dictionary updates inside the skill registration method utilize clean dictionary unpacking to securely merge runtime parameters with baseline defaults without mutating existing configurations.