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fix: P0 provider mismatch and code quality audit fixes (#102)
Unverified signature* refactor: replace hacky try/except with proper pydantic validation PROBLEM: - CodeRabbit recommended try/except for ADVANCED_MAX_ROUNDS parsing - This is hacky defensive programming, not Clean Code - Silent fallbacks mask configuration errors SOLUTION (Uncle Bob approved): 1. Add advanced_max_rounds to Settings with pydantic Field validation: - ge=1, le=20 bounds checking - Fails fast at startup with clear error message 2. Add advanced_timeout to Settings (60-900 seconds) 3. Remove os.getenv + try/except hack from advanced.py - Now uses settings.advanced_max_rounds directly 4. Fix domain.py: invalid domain strings now raise ValueError - Shows valid options in error message - Previously silently fell back to default 5. Update tests: 18 tests verifying fail-fast behavior - TestSettingsValidation: type errors, bounds violations all raise - TestGetDomainConfig: invalid strings raise with helpful message PHILOSOPHY: "If someone configures your app wrong, tell t…599a754
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rebrand: DeepCritical → DeepBoner (sexual health research agent)
🍆 AI-Native Sexual Health Research Agent - Package renamed: deepcritical → deepboner - New focus: sexual wellness, ED, hormone therapy, libido, reproductive health - Exception class: DeepCriticalError → DeepBonerError (with backwards compat) - UI examples updated for sexual health queries - Modal app renamed: deepboner-code-execution - Fixed pre-existing mypy issue (Modal API: uv_pip_install → pip_install) 46 files updated across: - Core: pyproject.toml, README.md, CLAUDE.md, AGENTS.md, GEMINI.md - Source: app.py, mcp_tools.py, exceptions.py, code_execution.py - Docs: ~25 markdown files - Examples: 8 demo scripts - Tests: exception tests updated All tests passing (102 passed, 6 skipped)5d12635
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refactor: address final CodeRabbit feedback
- Fix Windows path escaping in verify_sandbox.py using .as_posix() - Improve verdict detection with robust regex matching (avoid false positives) - Wire allow_network parameter to Modal sandbox block_network - Add finally block for sandbox resource cleanup - Use lru_cache for thread-safe singleton pattern - Add OpenAI-only note to LlamaIndexRAGService docstringb50fffd -
refactor: address CodeRabbit review feedback for Mario integration
CRITICAL fix: - Centralize sandbox library versions (SANDBOX_LIBRARIES constant) - Use shared config for both Modal image and LLM prompts - Prevent version mismatch between generated code and execution MAJOR fixes: - Use run_in_executor() for blocking Modal calls in async context - Lazy initialize code executor to avoid failing on import - Remove redundant hypothesis check (unreachable code) - Simplify semantic search placeholder (dead code paths) Minor fixes: - Update docs: Docker → Modal Sandbox terminology - Fix docstring claiming ConfigurationError (only warns)cbd94a4 -
feat: Integrate Mario's Modal code execution + LlamaIndex RAG
Cherry-picked from mario-dev branch: - src/tools/code_execution.py: Modal sandbox for LLM-generated code - src/services/llamaindex_rag.py: LlamaIndex + ChromaDB RAG service - src/agents/analysis_agent.py: Statistical analysis agent - examples/modal_demo/: Demo scripts for code execution - docs/workflow-diagrams.md: Architecture documentation Dependencies added as optional [modal] group: - modal>=0.63.0, llama-index, chromadb Config additions: - MODAL_TOKEN_ID, MODAL_TOKEN_SECRET, CHROMA_DB_PATH Co-authored-by: Mario <mario@contributor>3aa91e9
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adds scaffolding
Joseph Pollack6fbbcda