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docs: add Daytona to batch_runner, process_registry, agent_loop, tool_context
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.
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4 changed files with 8 additions and 7 deletions
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@ -44,7 +44,7 @@ _tool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=4)
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def _run_tool_in_thread(tool_name: str, arguments: Dict[str, Any], task_id: str) -> str:
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"""
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Run a tool call in a thread pool executor so backends that use asyncio.run()
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internally (modal, docker) get a clean event loop.
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internally (modal, docker, daytona) get a clean event loop.
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If we're already in an async context, executes handle_function_call() in a
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disposable worker thread and blocks for the result.
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@ -95,7 +95,7 @@ class ToolContext:
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backend = os.getenv("TERMINAL_ENV", "local")
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logger.debug("ToolContext.terminal [%s backend] task=%s: %s", backend, self.task_id[:8], command[:100])
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# Run via thread helper so modal/docker backends' asyncio.run() doesn't deadlock
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# Run via thread helper so modal/docker/daytona backends' asyncio.run() doesn't deadlock
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result = _run_tool_in_thread(
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"terminal",
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{"command": command, "timeout": timeout},
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