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# SWE-bench wrapper configuration for SWE-agent
swe_agents:
responses_api_agents:
swe_agents:
entrypoint: app.py
domain: coding
description: Software engineering tasks with OpenHands agent harness.
value: Improve agentic software engineering capabilities.
# Agent framework configuration
agent_framework: swe_agent
agent_config: configs/swe_agent_config.yaml
agent_max_turns: 100
agent_tools_file: configs/swe_agent_tools_openai_format.json # Used for response formatting only
agent_framework_repo: https://github.com/slikhite-1/nv-SWE-agent.git
agent_framework_commit: 34755442cb91fe0500a6dcb0485b91e899812f90 # pragma: allowlist secret
# Container configuration
container_formatter: "/lustre/fsw/portfolios/llmservice/users/igitman/images/swe-bench/swebench_sweb.eval.x86_64.{instance_id}.sif"
container_folder_path: null
swebench_tests_timeout: 900 # 30 minutes
concurrency: 512
# Optional model server reference
model_server:
name: policy_model # openai_model
type: responses_api_models
# Additional NeMo-Skills configuration
nemo_skills_config:
max_samples: -1
skip_filled: false
dry_run: false
max_concurrent_requests: 1
inference.top_logprobs: 10 # Request logprobs to get token IDs for training
# Dataset configurations
datasets:
# Training dataset
- name: train
type: train
jsonl_fpath: responses_api_agents/swe_agents/data/swegym_for_sweagent_and_openhands.jsonl
gitlab_identifier:
dataset_name: swegym_for_sweagent_and_openhands
version: 0.0.1
artifact_fpath: swegym_for_sweagent_and_openhands.jsonl
license: MIT
# Validation dataset
- name: validation
type: validation
jsonl_fpath: responses_api_agents/swe_agents/data/swebench_verified_for_sweagent_and_openhands.jsonl
gitlab_identifier:
dataset_name: swebench_verified_for_sweagent_and_openhands
version: 0.0.1
artifact_fpath: swebench_verified_for_sweagent_and_openhands.jsonl
license: TBD
# Example dataset for quick testing
- name: example
type: example
jsonl_fpath: responses_api_agents/swe_agents/data/example.jsonl