Step 4: AI Review (Phase 2)

Module: junior.harnesses.pydantic (via junior.runbook.runner.run_runbook())

Provider: OpenAI | Model: gpt-5.4-mini | Tokens: 35,398

Input

• User message from Step 2 (12,339 chars)
• The merged system prompt from Step 3 (4,316 chars total)
• The pydantic harness makes a single structured LLM call

Output: ReviewResult

The pydantic harness makes one structured LLM call with output_type=LLMReviewOutput. The model returns the summary, recommendation, and the full comments list directly in that one response. Junior only attaches the measured token usage afterward.

{
  "summary": "The code quality is poor overall, with multiple critical security flaws...",
  "recommendation": "request_changes",
  "comments": [/* 38 findings */],
  "input_tokens": 28174,
  "output_tokens": 7224,
  "tokens_used": 35398
}

Findings Summary

Severity	Count
Critical	5
High	20
Medium	13
Total	38

Critical Findings

File	Line	Category	Issue
api.py	93	security	eval(payload) on untrusted input — arbitrary code execution
api.py	59	security	subprocess.run(..., shell=True) with user input — command injection
api.py	88	bug	eval(payload) in webhook handler
api.py	73	security	eval(payload) — flagged again at a second call site
api.py	50	security	shell=True with user-controlled command

High Findings (top 10)

File	Line	Category	Issue
auth.py	55	security	check_permission() returns True for unknown roles
auth.py	14	security	Deterministic token from timestamp + hardcoded secret
auth.py	8	security	Hardcoded SECRET_KEY in source
auth.py	11	security	MD5 for password hashing
database.py	33	security	SQL injection via f-string in find_user()
database.py	61	bug	SQL injection in delete_user()
database.py	70	bug	SQL injection in update_user_role()
database.py	80	bug	SQL injection in list_users()
database.py	94	bug	SQL injection in search_users()
auth.py	27	logic	Token validation broken — regenerates with current timestamp

Notes

• Some issues are flagged more than once (e.g. eval at multiple call sites)
• The model returns request_changes as the recommendation, given the critical findings
• 35,398 tokens used by the single structured call