Week 1 assessment — career chatbot extension

This folder submits the Week 1 Lab 4 exercise (and ties in patterns from Labs 3–4):

Requirement	Implementation
Tool use + agent loop	lookup_faq, record_user_details, record_unknown_question with a while loop until the model finishes (no dangling tool calls).
FAQ / knowledge base	SQLite file faq_assessment.db (auto-created with seed rows; extend or replace in code). lookup_faq matches the user question to stored Q&A via a small structured LLM step.
Evaluator + retry	Pydantic Evaluation via parse; one automatic retry if the reply fails the check (Lab 3 pattern).
Optional Pushover	Same env vars as the course (PUSHOVER_USER, PUSHOVER_TOKEN); no-op print if unset.

Run locally

From the repository root (where .venv lives):

uv run python 1_foundations/community_contributions/mac_week1_assessment/week1_career_assessment.py

Put your 1_foundations/me/linkedin.pdf and 1_foundations/me/summary.txt in place (replace Ed’s samples with your own for a real deployment).

Set OPENAI_API_KEY in .env. Personalize self.name in CareerBot.__init__ in week1_career_assessment.py before opening a PR.

PR to the course repo

Fork ed-donner/agents, push your branch to your fork, then open a pull request against ed-donner/agents main with only your community_contributions/... folder (as in the course resources).