harbor_agent:
  responses_api_agents:
    harbor_agent:
      # Python module entrypoint loaded by NeMo Gym.
      entrypoint: app.py
      domain: agent
      description: Harbor integration for agent harnesses and environments.
      value: Improve models in popular agentic environments supported by Harbor such as Terminus2.
      concurrency: 10

      harbor_datasets:
        scientific:
          local_dataset_path: "responses_api_agents/harbor_agent/data/nemotron_terminal_synthetic_tasks/skill_based/mixed/scientific_computing"
          workdir: "/app"
        terminal_bench:
          dataset_name: "terminal-bench"
          dataset_version: "2.0"

      harbor_agent_name: null
      harbor_agent_import_path: "responses_api_agents.harbor_agent.custom_agents.terminus_2_nemo_gym:Terminus2NemoGym"
      harbor_agent_kwargs:
        max_turns: 20
        interleaved_thinking: true
        enable_summarize: false
        collect_rollout_details: true
        trajectory_config:
          raw_content: true
        model_info:
          max_input_tokens: 49152
          max_output_tokens: 49152
          input_cost_per_token: 0.0
          output_cost_per_token: 0.0

      harbor_environment_type: "daytona"
      harbor_environment_import_path: null
      harbor_environment_kwargs:
        network_block_all: false

      model_server:
        type: responses_api_models
        name: policy_model

      harbor_agent_override_timeout: null
      harbor_agent_max_timeout: null
      harbor_verifier_override_timeout: null
      harbor_verifier_max_timeout: null
      harbor_timeout_multiplier: null
      harbor_jobs_dir: "responses_api_agents/harbor_agent/jobs"