docs/brainstorming/magentic-pydantic/REVIEW_PROMPT_FOR_SENIOR_AGENT.md

Senior Agent Review Prompt

Copy and paste everything below this line to a fresh Claude/AI session:

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Context

I am a junior developer working on a HuggingFace hackathon project called DeepCritical. We made a significant architectural mistake and are now trying to course-correct. I need you to act as a senior staff engineer and critically review our proposed solution.

The Situation

We almost merged a refactor that would have deleted our multi-agent orchestration capability, mistakenly believing that pydantic-ai (a library for structured LLM outputs) and Microsoft's agent-framework (a framework for multi-agent orchestration) were mutually exclusive alternatives.

They are not. They are complementary:

• pydantic-ai ensures LLM responses match Pydantic schemas (type-safe outputs)
• agent-framework orchestrates multiple agents working together (coordination layer)

We now want to implement a dual-mode architecture where:

• Simple Mode (No API key): Uses only pydantic-ai with HuggingFace free tier
• Advanced Mode (With API key): Uses Microsoft Agent Framework for orchestration, with pydantic-ai inside each agent for structured outputs

Your Task

Please perform a deep, critical review of:

1. The architecture diagram (image attached: assets/magentic-pydantic.png)
2. Our documentation (4 files listed below)
3. The actual codebase to verify our claims

Specific Questions to Answer

Architecture Validation

1. Is our understanding correct that pydantic-ai and agent-framework are complementary, not competing?
2. Does the dual-mode architecture diagram accurately represent how these should integrate?
3. Are there any architectural flaws or anti-patterns in our proposed design?

Documentation Accuracy

4. Are the branch states we documented accurate? (Check git log, git ls-tree)
5. Is our understanding of what code exists where correct?
6. Are the implementation phases realistic and in the correct order?
7. Are there any missing steps or dependencies we overlooked?

Codebase Reality Check

8. Does origin/dev actually have the agent framework code intact? Verify by checking:
   • git ls-tree origin/dev -- src/agents/
   • git ls-tree origin/dev -- src/orchestrator_magentic.py
9. What does the current src/agents/ code actually import? Does it use agent_framework or agent-framework-core?
10. Is the agent-framework-core package actually available on PyPI, or do we need to install from source?

Implementation Feasibility

11. Can the cherry-pick strategy we outlined actually work, or are there merge conflicts we're not seeing?
12. Is the mode auto-detection logic sound?
13. What are the risks we haven't identified?

Critical Errors Check

14. Did we miss anything critical in our analysis?
15. Are there any factual errors in our documentation?
16. Would a Google/DeepMind senior engineer approve this plan, or would they flag issues?

Files to Review

Please read these files in order:

1. /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/docs/brainstorming/magentic-pydantic/00_SITUATION_AND_PLAN.md
2. /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/docs/brainstorming/magentic-pydantic/01_ARCHITECTURE_SPEC.md
3. /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/docs/brainstorming/magentic-pydantic/02_IMPLEMENTATION_PHASES.md
4. /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/docs/brainstorming/magentic-pydantic/03_IMMEDIATE_ACTIONS.md

And the architecture diagram: 5. /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/assets/magentic-pydantic.png

Reference Repositories to Consult

We have local clones of the source-of-truth repositories:

• Original DeepCritical: /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/reference_repos/DeepCritical/
• Microsoft Agent Framework: /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/reference_repos/agent-framework/
• Microsoft AutoGen: /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/reference_repos/autogen-microsoft/

Please cross-reference our hackathon fork against these to verify architectural alignment.

Codebase to Analyze

Our hackathon fork is at: /Users/ray/Desktop/CLARITY-DIGITAL-TWIN/DeepCritical-1/

Key files to examine:

• src/agents/ - Agent framework integration
• src/agent_factory/judges.py - pydantic-ai integration
• src/orchestrator.py - Simple mode orchestrator
• src/orchestrator_magentic.py - Advanced mode orchestrator
• src/orchestrator_factory.py - Mode selection
• pyproject.toml - Dependencies

Expected Output

Please provide:

1. Validation Summary: Is our plan sound? (YES/NO with explanation)
2. Errors Found: List any factual errors in our documentation
3. Missing Items: What did we overlook?
4. Risk Assessment: What could go wrong?
5. Recommended Changes: Specific edits to our documentation or plan
6. Go/No-Go Recommendation: Should we proceed with this plan?

Tone

Be brutally honest. If our plan is flawed, say so directly. We would rather know now than after implementation. Don't soften criticism - we need accuracy.

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END OF PROMPT