| schema_version = "1.4" | |
| artifacts = [ | |
| { source = "/var/lib/are", service = "grader" }, | |
| ] | |
| [task] | |
| name = "bespokelabs/cpu-decoder-graph-executor" | |
| version = "1.1.0" | |
| description = "" | |
| keywords = [ | |
| "autoresearch", | |
| "machine-learning", | |
| "benchmark", | |
| ] | |
| authors = [ | |
| { name = "Bespoke Labs" }, | |
| ] | |
| [metadata] | |
| category = "Model Training and ML Infrastructure" | |
| subcategory = "Systems and Efficiency" | |
| task_objective = [ | |
| "Optimize", | |
| "Implement", | |
| ] | |
| artifact_type = [ | |
| "Single script or program", | |
| "Codebase", | |
| ] | |
| expert_time_estimate_hours = 4.0 | |
| are_version = "1.1" | |
| budget_seconds = 86400 | |
| [verifier] | |
| timeout_sec = 600.0 | |
| environment_mode = "separate" | |
| [[verifier.collect]] | |
| service = "grader" | |
| command = "/opt/are/venv/bin/python /opt/are/drain.py" | |
| timeout_sec = 3600.0 | |
| [verifier.environment] | |
| network_mode = "no-network" | |
| build_timeout_sec = 600.0 | |
| cpus = 1 | |
| memory_mb = 1024 | |
| gpus = 0 | |
| [agent] | |
| network_mode = "allowlist" | |
| allowed_hosts = [ | |
| "api.openai.com", | |
| "api.anthropic.com", | |
| "grader", | |
| ] | |
| timeout_sec = 86400.0 | |
| user = "agent" | |
| [environment] | |
| network_mode = "public" | |
| build_timeout_sec = 3600.0 | |
| os = "linux" | |
| cpus = 8 | |
| memory_mb = 14336 | |
| storage_mb = 153600 | |
| gpus = 0 | |
| mcp_servers = [ | |
| { name = "are", transport = "streamable-http", url = "http://grader:8000/mcp" }, | |
| ] | |
| [environment.env] | |