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docs: add Daytona to batch_runner, process_registry, agent_loop, tool_context

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Add daytona_image to batch_runner per-prompt container image overrides
so batch processing works with the Daytona backend. Update inline
comments in RL environment files (agent_loop, tool_context) and
process_registry docstrings to include Daytona in backend lists.
This commit is contained in:
teknium1
2026-03-06 03:49:59 -08:00
parent 3982fcf095
commit 3670089a42
4 changed files with 8 additions and 7 deletions
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4
environments/tool_context.py
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@@ -44,7 +44,7 @@ _tool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=4)
def _run_tool_in_thread(tool_name: str, arguments: Dict[str, Any], task_id: str) -> str:
"""
Run a tool call in a thread pool executor so backends that use asyncio.run()
internally (modal, docker) get a clean event loop.
internally (modal, docker, daytona) get a clean event loop.
If we're already in an async context, executes handle_function_call() in a
disposable worker thread and blocks for the result.
@@ -95,7 +95,7 @@ class ToolContext:
backend = os.getenv("TERMINAL_ENV", "local")
logger.debug("ToolContext.terminal [%s backend] task=%s: %s", backend, self.task_id[:8], command[:100])
# Run via thread helper so modal/docker backends' asyncio.run() doesn't deadlock
# Run via thread helper so modal/docker/daytona backends' asyncio.run() doesn't deadlock
result = _run_tool_in_thread(
"terminal",
{"command": command, "timeout": timeout},