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AutoGPT/classic/poetry.lock
Nicholas Tindle 57fbab500b feat(classic): add external benchmark adapters for GAIA, SWE-bench, and AgentBench
Integrate standard AI agent benchmarks into the direct_benchmark infrastructure
using a plugin-based adapter pattern:

- Add BenchmarkAdapter base class with setup(), load_challenges(), and evaluate()
- Implement GAIAAdapter for the GAIA benchmark (requires HF token)
- Implement SWEBenchAdapter for SWE-bench (requires Docker)
- Implement AgentBenchAdapter for AgentBench multi-environment benchmark
- Extend HarnessConfig with benchmark options (--benchmark, --benchmark-split, etc.)
- Modify ParallelExecutor to use adapter's evaluate() for external benchmarks
- Fix runner to record finish step (was being skipped, breaking answer extraction)
- Add optional benchmarks dependency group with datasets and huggingface-hub
- Increase default benchmark timeout to 900s

Usage:
  poetry run direct-benchmark run \
    --benchmark agent-bench \
    --benchmark-subset dbbench \
    --strategies one_shot \
    --models claude

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-21 13:06:32 -06:00

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