Support Agent Kit
A customer-support agent with ticket triage, pgvector retrieval over your docs, cited answers, confidence-gated auto-send, escalation to a human, and evals that measure the wrong-answer rate.
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Support Agent Kit
Customer-support automation: ticket triage, RAG with citations over a pgvector store (in-memory fallback for offline
tests), confidence-gated auto-send with human escalation, and a golden-set eval that measures wrong-answer rate.
Vendors the agent_forge core runtime, so it is standalone. All docs and tickets shipped are synthetic.
Quickstart (about 10 minutes)
python -m venv .venv && . .venv/bin/activate
pip install -e ".[dev]"
pytest # offline, mock LLM
python examples/quickstart.py # auto-send vs escalate
support-kit evals # wrong-answer rate on the golden set
Production: pip install -e ".[postgres]", see examples/pgvector_setup.py and guide/PGVECTOR.md. Plug in a real LLM via the
1-method agent_forge.llm.LLM protocol (or HTTPChatLLM) and a real embedding function.
Layout
src/support_kit (triage, kb, embed, store, agent, evals, cli) - src/agent_forge (vendored core) - data/docs -
evals/golden.yaml - tests/ - examples/ - guide/.
What it is not
Not a hosted helpdesk or a guarantee of correctness. The offline mock LLM is extractive and for tests; quality in production
depends on your model, docs and threshold. Evaluate on your own tickets.
License: MIT with a no-resale-as-template clause (see LICENSE).