recruitertriage

Triage recruiter outreach with a small (<1B) language model. Built for the HuggingFace Build Small Hackathon.

The default backend is SmolLM2-360M-Instruct. It fits on a free HF Space CPU and still gets useful triage signal. You can swap in any callable LM (a fine-tune, Qwen-0.5B, a heuristic, anything that maps prompt -> string).

Install

pip install recruitertriage              # core only (zero heavy deps)
pip install "recruitertriage[smollm]"    # + SmolLM2 / transformers
pip install "recruitertriage[space]"     # + Gradio for the Space UI

Python 3.10+.

What it does

Each piece of recruiter outreach gets bucketed into one of five labels:

Each Decision carries a label, a confidence (0..1), a one-line reason, an optional suggested reply, and the raw signals the model saw.

Usage

from recruitertriage import triage, HeuristicLLM

# Zero-dep fallback (good for tests/CI):
d = triage(
    subject="Staff ML Engineer @ AcmeAI",
    body="Hi - we're hiring a Staff ML Engineer. Comp 250-320k...",
    llm=HeuristicLLM(),
)
print(d.label, d.confidence, d.suggested_reply)

# Real small-model backend (requires the `smollm` extra):
from recruitertriage.smollm import make_smollm
llm = make_smollm("HuggingFaceTB/SmolLM2-360M-Instruct")
d = triage(subject="...", body="...", llm=llm)

triage() only cares that llm is Callable[[str], str], so any small instruction-tuned LM works. The core parser is tolerant of small-model JSON quirks (code fences, prose around the object, etc.).

HuggingFace Space

The space/ directory is the deployable Gradio app:

pip install "recruitertriage[space]"
python space/app.py

To publish:

1. hf login
2. Create a new Gradio Space (CPU basic is enough)
3. Push the contents of space/ as the Space root

Demo

python examples/demo.py             # uses HeuristicLLM
python examples/demo.py --smollm    # uses SmolLM2-360M-Instruct

Companion libraries

recruitertriage slots into the @mukundakatta agent-stack:

• agentleash — USD/call budget cap + tool-arg gate
• birddog — audited Bright Data egress for scraping agents
• agentvet — tool-arg validation with retry hints
• agentsnap — snapshot tests for agent traces

License

MIT