Files
hermes-agent/environments/benchmarks/terminalbench_2/default.yaml
teknium 35ad3146a8 Add new environments and enhance tool context functionality
- Introduced new environments: Terminal Test Environment and SWE Environment, each with default configurations for testing and software engineering tasks.
- Added TerminalBench 2.0 evaluation environment with comprehensive setup for agentic LLMs, including task execution and verification.
- Enhanced ToolContext with methods for uploading and downloading files, ensuring binary-safe operations.
- Updated documentation across environments to reflect new features and usage instructions.
- Refactored existing environment configurations for consistency and clarity.
2026-02-10 19:39:05 +00:00

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YAML

# Terminal-Bench 2.0 Evaluation -- Default Configuration
#
# Eval-only environment for the TB2 benchmark (89 terminal tasks).
# Uses Modal terminal backend for per-task cloud-isolated sandboxes
# and OpenRouter for inference.
#
# Usage:
# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
# --config environments/benchmarks/terminalbench_2/default.yaml
#
# # Override model:
# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
# --config environments/benchmarks/terminalbench_2/default.yaml \
# --openai.model_name anthropic/claude-sonnet-4
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 60
max_token_length: 16000
agent_temperature: 0.6
terminal_backend: "modal"
dataset_name: "NousResearch/terminal-bench-2"
test_timeout: 180
tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
use_wandb: true
wandb_name: "terminal-bench-2"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "evals/terminal-bench-2"
system_prompt: >
You are a skilled software engineer and system administrator with
access to a terminal and file tools. You are working inside a Linux
container environment. Complete the user's task by using the available
tools. Be methodical: explore the environment first, plan your approach,
then execute step by step. Verify your work before finishing.
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-opus-4.6"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env