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https://github.com/bytedance/deer-flow.git
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16d36ccd21
* fix(benchmark): validate sandbox lifecycle and concurrent measurements * feat(sandbox): prewarm likely AIO tool turns (cherry picked from commit 3a1017ed032ed9331987bc3dc61f23dcdac4e905) * fix(sandbox): bind bounded prewarming to execution leases * docs: trim frontend guidance below its existing size limit * fix(benchmark): separate failed lifecycle stage timings * test(sandbox): measure prewarm overlap and unused resources through agent graphs * fix(sandbox): finish lease and sampler cleanup after cancellation or errors * docs(benchmark): distinguish initialization wait from model overlap * docs(helm): align the configuration example with version 61 * fix(sandbox): preserve synchronous agent graphs when prewarming is enabled * test(cargo): isolate native fixtures from inherited make jobserver flags * fix(sandbox): require managed cleanup before prewarming * fix(sandbox): log denied prewarming as an expected skip * fix(benchmark): filter provider summary input records --------- Co-authored-by: nothingyuancando <1579035512@qq.com>
25 lines
929 B
Python
25 lines
929 B
Python
"""Operator controls bound speculative sandbox work without enabling it by default."""
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import pytest
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from pydantic import ValidationError
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from deerflow.config.sandbox_config import SandboxConfig
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def test_prewarm_defaults_are_opt_in_and_bounded():
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config = SandboxConfig(use="deerflow.community.aio_sandbox:AioSandboxProvider")
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assert config.prewarm is False
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assert config.prewarm_max_concurrent == 1
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@pytest.mark.parametrize("value", [1, 4, "3"])
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def test_prewarm_limit_accepts_positive_integers_and_environment_strings(value):
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config = SandboxConfig(use="example:Provider", prewarm_max_concurrent=value)
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assert config.prewarm_max_concurrent == int(value)
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@pytest.mark.parametrize("value", [True, False, 0, -1, 1.5, "bad", None])
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def test_prewarm_limit_rejects_invalid_values(value):
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with pytest.raises(ValidationError):
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SandboxConfig(use="example:Provider", prewarm_max_concurrent=value)
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