Files
hermes-agent/environments/tool_context.py
teknium 07b615e96e Add support for Atropos Agentic RL environments (requires branch tool_call_support in Atropos atm)
- 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__`.
2026-02-07 09:17:16 +00:00

247 lines
7.6 KiB
Python

"""
ToolContext -- Unrestricted Tool Access for Reward Functions
A per-rollout handle that gives reward/verification functions direct access to
ALL hermes-agent tools, scoped to the rollout's task_id. The same task_id means
the terminal/browser session is the SAME one the model used during its rollout --
all state (files, processes, browser tabs) is preserved.
The verifier author decides which tools to use. Nothing is hardcoded or gated.
Example usage in a compute_reward():
async def compute_reward(self, item, result, ctx):
# Run tests in the model's terminal sandbox
test = ctx.terminal("pytest -v")
if test["exit_code"] == 0:
return 1.0
# Check if a file was created
content = ctx.read_file("/workspace/solution.py")
if content.get("content"):
return 0.5
return 0.0
"""
import json
import logging
from typing import Any, Dict, List, Optional
from model_tools import handle_function_call
from tools.terminal_tool import cleanup_vm
from tools.browser_tool import cleanup_browser
logger = logging.getLogger(__name__)
class ToolContext:
"""
Open-ended access to all hermes-agent tools for a specific rollout.
Passed to compute_reward() so verifiers can use any tool they need:
terminal commands, file reads/writes, web searches, browser automation, etc.
All calls share the rollout's task_id for session isolation.
"""
def __init__(self, task_id: str):
self.task_id = task_id
# -------------------------------------------------------------------------
# Terminal tools
# -------------------------------------------------------------------------
def terminal(self, command: str, timeout: int = 180) -> Dict[str, Any]:
"""
Run a command in the rollout's terminal session.
Args:
command: Shell command to execute
timeout: Command timeout in seconds
Returns:
Dict with 'exit_code' (int) and 'output' (str)
"""
result = handle_function_call(
"terminal",
{"command": command, "timeout": timeout},
task_id=self.task_id,
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"exit_code": -1, "output": result}
# -------------------------------------------------------------------------
# File tools
# -------------------------------------------------------------------------
def read_file(self, path: str) -> Dict[str, Any]:
"""
Read a file from the rollout's filesystem.
Args:
path: File path to read
Returns:
Dict with file content or error
"""
result = handle_function_call(
"read_file", {"path": path}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def write_file(self, path: str, content: str) -> Dict[str, Any]:
"""
Write a file in the rollout's filesystem.
Args:
path: File path to write
content: Content to write
Returns:
Dict with success status or error
"""
result = handle_function_call(
"write_file", {"path": path, "content": content}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def search(self, query: str, path: str = ".") -> Dict[str, Any]:
"""
Search for text in the rollout's filesystem.
Args:
query: Search query
path: Directory to search in
Returns:
Dict with search results
"""
result = handle_function_call(
"search", {"query": query, "path": path}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Web tools
# -------------------------------------------------------------------------
def web_search(self, query: str) -> Dict[str, Any]:
"""
Search the web.
Args:
query: Search query
Returns:
Dict with search results
"""
result = handle_function_call("web_search", {"query": query})
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def web_extract(self, urls: List[str]) -> Dict[str, Any]:
"""
Extract content from URLs.
Args:
urls: List of URLs to extract content from
Returns:
Dict with extracted content
"""
result = handle_function_call("web_extract", {"urls": urls})
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Browser tools
# -------------------------------------------------------------------------
def browser_navigate(self, url: str) -> Dict[str, Any]:
"""
Navigate the rollout's browser session to a URL.
Args:
url: URL to navigate to
Returns:
Dict with page snapshot or error
"""
result = handle_function_call(
"browser_navigate", {"url": url}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def browser_snapshot(self) -> Dict[str, Any]:
"""
Take a snapshot of the current browser page.
Returns:
Dict with page content/accessibility snapshot
"""
result = handle_function_call(
"browser_snapshot", {}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Generic tool access
# -------------------------------------------------------------------------
def call_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str:
"""
Call any hermes-agent tool by name.
This is the generic escape hatch -- if a tool doesn't have a convenience
wrapper above, you can call it directly here.
Args:
tool_name: Name of the tool (e.g., "vision_analyze", "skills_list")
arguments: Dict of arguments for the tool
Returns:
Raw JSON string result from the tool
"""
return handle_function_call(tool_name, arguments, task_id=self.task_id)
# -------------------------------------------------------------------------
# Cleanup
# -------------------------------------------------------------------------
def cleanup(self):
"""
Release all resources (terminal VMs, browser sessions) for this rollout.
Called automatically by the base environment via try/finally after
compute_reward() completes. You generally don't need to call this yourself.
"""
try:
cleanup_vm(self.task_id)
except Exception as e:
logger.debug("VM cleanup for task %s: %s", self.task_id, e)
try:
cleanup_browser(self.task_id)
except Exception as e:
logger.debug("Browser cleanup for task %s: %s", self.task_id, e)