work_summary_15032026.md

Work Summary - 15 March 2026

Project: Adaptive Study Agent

What was done

Built the entire project from scratch in a single session. All source files are written and dependencies are installed.

Files created

• pyproject.toml -- project config with all dependencies (LangGraph, langchain-anthropic, langchain-openai, langchain-chroma, chromadb, pymupdf, python-dotenv)
• .env -- placeholder for API keys (ANTHROPIC_API_KEY, OPENAI_API_KEY)
• src/graph/state.py -- StudyState TypedDict
• src/graph/nodes.py -- all 6 node functions (ingest, generate_question, answer, evaluate, reread, summarize)
• src/graph/edges.py -- conditional edge logic (after_evaluate routing)
• src/graph/build_graph.py -- LangGraph StateGraph assembly with entry point, normal edges, and conditional edges
• src/tools/ingest.py -- PDF/text extraction, chunking, ChromaDB ingestion
• src/tools/retriever.py -- ChromaDB similarity search wrapper
• src/prompts/question_prompt.py -- question generation prompt
• src/prompts/answer_prompt.py -- answer prompt with chunk citation
• src/prompts/evaluate_prompt.py -- strict self-grading prompt (Score + Reasoning format)
• src/main.py -- CLI entry point with argparse, session report writer
• tests/test_edges.py -- 5 tests for conditional edge logic
• tests/test_ingest.py -- 3 tests for text chunking

Dependencies

All 102 packages installed successfully via uv sync.

What remains

• Run tests (uv run pytest tests/ -v) to verify everything passes
• Add API keys to .env
• Test end-to-end with an actual PDF document
• Write README.md (portfolio framing as described in CLAUDE.md)

Notes

• Session started late evening, ended ~11:20 PM
• All code follows the architecture and rules defined in project_3_adaptive_study_agent_CLAUDE.md