Files
Felipe Cardoso 6ab08537ca fix: address code review findings — batch args, venv path, serve flags
- Fix missing BATCH_ARGS in long-context commands (both benchmark scripts)
- Fix CLAUDE.md stale venv path (data/venv → .venv) and add serve/power docs
- Add -b/--batch to bin/benchmark help text
- Add --no-think flag to serve script (--reasoning-budget 0)
- Sanitize model names in eval run directories
- Simplify agentic setup to use requirements.txt
- Add serve --help test, batch flag assertions to existing tests
- Add requirements.txt for reproducible venv setup (Python 3.13)
2026-03-31 10:10:48 +02:00

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#!/usr/bin/env bash
# Setup agentic evaluation tools
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "$SCRIPT_DIR/../../lib/common.sh"
log_header "Agentic Evaluation Setup"
# ── Python virtual environment ───────────────────────────
VENV_DIR="$PROJECT_ROOT/.venv"
REQUIREMENTS="$PROJECT_ROOT/requirements.txt"
if [[ ! -f "$VENV_DIR/bin/activate" ]]; then
# Prefer Python 3.13 (bigcodebench requires <3.14)
PYTHON_BIN="python3.13"
if ! command -v "$PYTHON_BIN" >/dev/null 2>&1; then
PYTHON_BIN="python3"
log_warn "python3.13 not found, using $(python3 --version). bigcodebench may not install."
fi
log_info "Creating virtual environment with $($PYTHON_BIN --version)..."
"$PYTHON_BIN" -m venv "$VENV_DIR"
log_success "Virtual environment created at $VENV_DIR"
fi
source "$VENV_DIR/bin/activate"
log_info "Python: $(python3 --version) from $VENV_DIR"
# ── Install from requirements.txt ────────────────────────
log_info "Installing dependencies from requirements.txt..."
pip install -r "$REQUIREMENTS" 2>&1 | tail -5
log_success "Dependencies installed"
# ── Check for local LLM server ──────────────────────────
log_header "LLM Server Check"
if curl -sf http://localhost:8080/health >/dev/null 2>&1; then
log_success "llama-server running at localhost:8080"
elif curl -sf http://localhost:11434/api/tags >/dev/null 2>&1; then
log_success "ollama running at localhost:11434"
else
log_warn "No local LLM server running. Start one before running evals:"
log_info " make serve ARGS=\"-m MODEL.gguf\" (llama-server)"
log_info " ollama serve (ollama)"
fi
# ── Summary ──────────────────────────────────────────────
log_header "Setup Complete"
echo ""
echo " Installed tools:"
echo " inspect-ai — All-in-one eval framework (IFEval, BFCL, GAIA, ...)"
echo " inspect-evals — Task definitions for inspect-ai"
echo " evalplus — HumanEval+ / MBPP+ with native ollama support"
echo " bigcodebench — 1,140 coding tasks across 139 libraries"
echo ""
echo " Activate venv: source .venv/bin/activate"
echo ""
echo " Run evaluations:"
echo " make agentic-quick # EvalPlus HumanEval+ + IFEval (~1 hour)"
echo " make agentic-code # EvalPlus + BigCodeBench (~2-3 hours)"
echo " make agentic-tooluse # BFCL function calling (~1-2 hours)"
echo " make agentic-full # All of the above (~5-6 hours)"
echo ""