| 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] |
|
|
