89ca9ad647
On-demand Scout service (replaces the nightly aggregator): - FastAPI agent-mesh service; card name "matchmaking-service" (HTTP /a2a/tasks + Redis-stream worker matching the sibling-service pattern) - run_search: parallel multi-board sweep (Naukri/blackfalcondata + Foundit + LinkedIn), city-filtered at the board, cheapest-per-result first - per-board adapters + normalizers -> ScoutJob with rich read-only details and offsite apply links; recall mode + MVQ guard - result cache for dev replay ($0); per-board cost knobs; retry-on-5xx - research/: engine design, board cost economics, India-actor shortlist, POC
24 lines
651 B
Plaintext
24 lines
651 B
Plaintext
# matchmaking-v2 — copy to .env (git-ignored). On-demand: no corpus DB required.
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ENV=development
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LOG_LEVEL=INFO
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API_PORT=8000
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AGENT_URL=http://localhost:8006
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# A2A bearer the orchestrator presents (match the mesh's shared key in prod)
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A2A_ALLOWED_KEYS=dev-a2a-key
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# Orchestrator comms (optional in dev — worker no-ops if unset/unreachable)
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ORCHESTRATOR_REDIS_URL=
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REDIS_URL=redis://localhost:6379/0
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# Inputs / engine (wired in later slices)
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APIFY_TOKEN=
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OPENAI_API_KEY=
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# QScore (consumed)
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QSCORE_BASE_URL=http://localhost:8004
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QSCORE_AUTH_TOKEN=
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# Feedback/label store (NOT the old corpus) — optional until the learning loop
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DATABASE_URL=
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