[Bug]: LLM retries too fast #4238
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bug
Something isn't working
Comments
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@x66ccff Can you please clarify or give an example, what kind of command is being retried too fast? LLM_*retries variables apply to calls to the LLM, they don't apply to other retries that happen, like those of the runtime environment executing bash commands, etc. |
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The LLM try to run |
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pysr_example.py: import numpy as np
X = 2 * np.random.randn(100, 5)
y = 2.5382 * np.cos(X[:, 3]) + X[:, 0] ** 2 - 0.5
from pysr import PySRRegressor
model = PySRRegressor(
niterations=5, # < Increase me for better results
binary_operators=['+', '*'],
unary_operators=[
'cos',
'exp',
'sin',
'inv(x) = 1/x',
# ^ Custom operator (julia syntax)
],
extra_sympy_mappings={'inv': lambda x: 1 / x},
# ^ Define operator for SymPy as well
elementwise_loss='loss(prediction, target) = (prediction - target)^2',
# ^ Custom loss function (julia syntax)
)
model.fit(X, y)
print(model) |
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Sorry, I misunderstood the situation. This issue isn't necessary, so I'm closing it |
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Is there an existing issue for the same bug?
Describe the bug
i'm using docker to start the openhands. In my task, some commands needs long time to execute. (with slow outputs) The agent may regard this as stucked, but in fact it is not.
the agents tries to retry it frequently. I use this command but these seems useless
the agent retries every 3 seconds, but i don know how to change this
Current OpenHands version
Installation and Configuration
Model and Agent
qwen2.5:72b
Operating System
linux
Reproduction Steps
No response
Logs, Errors, Screenshots, and Additional Context
No response
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