---

name: gaia-run description: Execute a GAIA benchmark run — shells out to gaia-bench run, streams progress, and writes JSON results argument-hint: "[--level=1] [--limit=53] [--models=haiku,sonnet] [--concurrency=3] [--voting-attempts=1] [--hardness-routing] [--enable-critic] [--decompose] [--planning-interval=4]"

/gaia run

Run GAIA benchmark questions through the ruflo agent loop.

Usage

/gaia run
/gaia run --level=1 --limit=53 --models=claude-sonnet-4-6
/gaia run --level=1 --limit=53 --models=haiku,sonnet --voting-attempts=3 --hardness-routing
/gaia run --smoke-only   # 5 questions, no HF token needed

# Recommended config (~$2/run, all active tracks):
/gaia run --level=1 --models=claude-sonnet-4-6 --hardness-routing --enable-critic --planning-interval=4

Options

Flag	Default	Description
--level	1	GAIA difficulty level (1=easiest, 2, 3)
--limit	all	Maximum questions to run
--models	claude-haiku-4-5	Comma-separated model IDs
--concurrency	3	Parallel question slots
--voting-attempts	1	Track A: self-consistency attempts (3 recommended, +5-10pp; voting takes precedence over critic when both set)
--hardness-routing	off	Track Q: route each question to appropriate model/turn budget (overrides --max-turns and --voting-attempts per question)
--hardness-verbose	off	Track Q: log predicted difficulty per question
--enable-critic	off	Track D: adversarial critic reviews answer before submission (+3-5pp; skipped when voting-attempts > 1)
--decompose	off	Track E: decompose multi-step questions into sub-questions (+5-10pp on ~30-40% of L1 set)
--planning-interval	4	Track B: inject planning checkpoint every N turns (0=disable; based on smolagents finding)
--max-turns	12	Max agent turns per question (overridden by hardness router)
--judge-model	claude-sonnet-4-6	Model used for LLM-as-judge scoring
--smoke-only	off	Use 5-question fixture (CI / no HF token)
--output	text	text or json

Flag precedence

When multiple flags combine:

1. --hardness-routing overrides --max-turns and --voting-attempts per question.
2. --voting-attempts > 1 takes precedence over --enable-critic (cost containment — voting + critic would cost voting-count × critic calls per question).
3. --decompose works independently; each sub-question runs through voting/critic/plain independently, then sub-answers are synthesized before judging.

What this does

1. Resolve environment keys — checks ANTHROPIC_API_KEY, HF_TOKEN, and optionally GOOGLE_* keys; falls back to GCP Secrets.
2. Load dataset — downloads and caches the GAIA validation split from Hugging Face (~/.cache/ruflo/gaia/). Cached files are reused on subsequent runs.
3. Estimate cost — computes expected spend based on model pricing and question count; asks for confirmation when estimated cost exceeds $5.
4. Run the agent loop — for each question, the multi-turn gaia-agent.ts loop drives the selected model through up to --max-turns turns, using the registered tool catalogue (web_search, file_read, web_browse, image_describe, python_exec).
5. Score results — two-stage LLM-as-judge (gaia-judge.ts) normalizes and compares the model's FINAL_ANSWER to the ground truth.
6. Write output — results land in ~/.cache/ruflo/gaia/results-<sha>.json. Progress is printed to stdout every 5 questions.

Resuming an interrupted run

If a run crashes, restart with the same flags. The loader checks for a checkpoint-<level>-<limit>.json in the cache dir and skips already-completed task_ids automatically.

Example invocation (underlying CLI)

node $(npm root -g)/@claude-flow/cli/bin/cli.js gaia-bench run \
  --level 1 --limit 53 \
  --models claude-sonnet-4-6 \
  --concurrency 3 --voting 1 \
  --output json

Baselines for context

System	L1 pass-rate	Notes
HAL (Sonnet 4.5)	74.6%	300 Q reference run
ruflo iter 23	20.8%	53 Q, web_search restored
ruflo iter 15	9.4%	53 Q, broken web_search

Steps Claude should follow

1. Check that ANTHROPIC_API_KEY and HF_TOKEN are set; if not, prompt user
2. Run the cost estimate: node … gaia-bench run --dry-run --level $LEVEL --limit $LIMIT --models $MODELS
3. If estimated cost > $5, show the estimate and ask for confirmation
4. Execute: node … gaia-bench run --level $LEVEL --limit $LIMIT --models $MODELS --concurrency $CONCURRENCY --output json
5. Parse JSON output and display a summary table (model | pass-rate | cost | mean-turns)
6. Store the run record in memory: npx @claude-flow/cli@latest memory store --namespace gaia-runs --key "run-$(date +%Y%m%d-%H%M)" --value "$SUMMARY"