07b615e96e
- Added new environments for reinforcement learning, including `HermesSweEnv` for software engineering tasks and `TerminalTestEnv` for inline testing. - Introduced `ToolContext` for unrestricted access to tools during reward computation. - Updated `.gitignore` to exclude `wandb/` directory. - Enhanced `README.md` with detailed architecture and usage instructions for Atropos environments. - Added configuration files for SWE and terminal test environments to streamline setup. - Removed unnecessary compiled Python files from `__pycache__`.
29 lines
1007 B
Python
29 lines
1007 B
Python
"""
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Hermes-Agent Atropos Environments
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Provides a layered integration between hermes-agent's tool-calling capabilities
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and the Atropos RL training framework.
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Layers:
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- agent_loop: Reusable multi-turn agent loop with standard OpenAI-spec tool calling
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- tool_context: Per-rollout tool access handle for reward/verification functions
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- hermes_base_env: Abstract base environment (BaseEnv subclass) for Atropos
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- tool_call_parsers: Client-side tool call parser registry for Phase 2 (VLLM /generate)
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Concrete environments:
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- terminal_test_env: Simple file-creation tasks for testing the stack
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- hermes_swe_env: SWE-bench style tasks with Modal sandboxes
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"""
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from environments.agent_loop import AgentResult, HermesAgentLoop
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from environments.tool_context import ToolContext
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from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
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__all__ = [
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"AgentResult",
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"HermesAgentLoop",
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"ToolContext",
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"HermesAgentBaseEnv",
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"HermesAgentEnvConfig",
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]
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