wehub-resource-sync
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""End-to-end test for ``examples/agent_with_os_env.yaml``.
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The example wires an ``os_env:`` block onto the agent and exposes
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the built-in ``sys_os_read`` / ``sys_os_write`` / ``sys_os_edit`` /
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``sys_os_shell`` tools. The YAML now ships with
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``sandbox: type: none`` so it runs on macOS too — flip back to
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``linux_bwrap`` on Linux to exercise the actual sandbox.
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**What breaks if this fails:**
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- The spec parser regresses on ``os_env.sandbox`` blocks.
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- The ``sys_os_*`` builtin registration breaks for YAML-declared
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agents with an ``os_env:`` field.
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"""
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from __future__ import annotations
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from pathlib import Path
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from tests.e2e.omnigent._example_helpers import (
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assert_completed_one_shot,
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run_one_shot,
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)
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from tests.e2e.omnigent.conftest import configure_mock_llm
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def test_agent_with_os_env_one_shot(
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omnigent_python: Path,
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omnigent_repo_root: Path,
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mock_credentials_env: dict[str, str],
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mock_llm_server_url: str,
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) -> None:
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"""
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``omnigent run agent_with_os_env -p <prompt>`` completes
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cleanly and streams a reply.
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Uses the mock LLM server for deterministic responses.
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:param omnigent_python: Interpreter with omnigent +
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openai-agents installed.
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:param omnigent_repo_root: Repo root for subprocess cwd.
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:param mock_credentials_env: Mock-LLM env vars.
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:param mock_llm_server_url: Mock server URL for configuring
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response queues.
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"""
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configure_mock_llm(mock_llm_server_url, [{"text": "OK"}])
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result = run_one_shot(
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omnigent_python=omnigent_python,
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omnigent_repo_root=omnigent_repo_root,
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omnigent_credentials_env=mock_credentials_env,
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example_name="agent_with_os_env",
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model="mock-model",
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)
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assert_completed_one_shot(result, "agent_with_os_env")
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