# SWE-bench wrapper configuration for opencode RL training.

swe_agents_train:
  responses_api_agents:
    swe_agents: &swe_agents_config
      entrypoint: app.py
      domain: coding
      description: SWE-bench driven by the opencode agent framework for RL training.
      value: Train software engineering capabilities on SWE tasks using opencode rollouts.

      # Agent framework configuration
      agent_framework: opencode
      agent_max_turns: 100
      # Pinned NeMo-Gym opencode fork (adds bench/cli.ts + the nemo-gym LanguageModelV3 provider).
      agent_framework_repo: https://github.com/sdevare-nv/nv-opencode.git
      agent_framework_commit: sdd/dev

      # Container configuration (same SIFs as the openhands path)
      container_formatter: ???
      container_folder_path: null
      swebench_agent_timeout: 1800
      swebench_tests_timeout: 900
      apptainer_memory_limit_mb: 65536
      command_exec_timeout: 300

      dataset_path: ???

      agent_prompt_overrides:
        - user_prompt_template: responses_api_agents/swe_agents/prompts/opencode_harness/user_prompt.txt
          agent_cls: OpenCodeAgent
          diversify_tool_names: false

      # Enable opencode's `task` tool (subagent sessions)
      opencode_subagents_enabled: true

      model_server:
        name: policy_model
        type: responses_api_models

      datasets:
        - 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: 0.0.2
            artifact_fpath: swegym-converted.jsonl
          license: Apache 2.0
        - name: example
          type: example
          jsonl_fpath: responses_api_agents/swe_agents/data/example.jsonl

swe_agents_val:
  responses_api_agents:
    swe_agents:
      <<: *swe_agents_config