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.env.example

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+# == Job source / ingestion ==
+JOB_SOURCE=jobspy                   # jobspy (default, free) | apify
+SEARCH_TERMS=["software engineer"]  # JSON list; CLI --search overrides
+LOCATION=United States
+HOURS_OLD=72
+BATCH_SIZE=20
+RESULTS_WANTED=50
+
+# == Apify (only if JOB_SOURCE=apify) ==
+APIFY_TOKEN=
+APIFY_ACTOR=
+
+# == Website resolution (optional search API) ==
+SEARCH_API_ENABLED=false
+SEARCH_API_KEY=
+
+# == LLM / agent models ==
+# Set REAL model identifiers here; code ships with inert placeholders.
+# Pydantic AI is model-agnostic — you may also set the provider's native key var:
+#   Anthropic: ANTHROPIC_API_KEY=...
+#   OpenAI:    OPENAI_API_KEY=...
+LLM_API_KEY=
+CLASSIFIER_MODEL=           # cheap model for link classification
+AGENT_MODEL=                # stronger model for the browser agent
+
+# == HTTP client ==
+HTTP_TIMEOUT=20
+HTTP_MAX_RETRIES=3
+HTTP_BACKOFF_FACTOR=0.5
+USER_AGENT=JobSourceAgent/0.1 (+https://example.com)
+
+# == Storage / output ==
+DB_PATH=output/jobsource.db
+OUTPUT_CSV=output/results.csv
+
+# == Browser agent ==
+ENABLE_BROWSER_AGENT=true
+BROWSER_HEADLESS=true