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artifacts = [ "/app/output",]
[task]
name = "bespokelabs/cpu-decoder-graph-executor"
version = "1.0.0"
description = ""
keywords = [ "autoresearch", "machine-learning", "benchmark",]
[[task.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
[verifier]
timeout_sec = 1800.0
environment_mode = "separate"
collect = []
[verifier.env]
[verifier.environment]
network_mode = "no-network"
build_timeout_sec = 3600.0
os = "linux"
cpus = 8
memory_mb = 14336
storage_mb = 153600
gpus = 0
mcp_servers = []
[verifier.environment.env]
[agent]
network_mode = "allowlist"
allowed_hosts = [ "api.openai.com", "api.anthropic.com",]
timeout_sec = 14400.0
user = "agent"
[environment]
network_mode = "allowlist"
allowed_hosts = [ "api.openai.com", "api.anthropic.com",]
build_timeout_sec = 3600.0
os = "linux"
cpus = 8
memory_mb = 14336
storage_mb = 153600
gpus = 0
mcp_servers = []
[environment.env]
[solution.env]
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