schema_version = "1.4"
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]