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* Fix typos in docstrings of evaluation_generator.py and event.py (#101) Corrected 'resposnes' to 'responses', 'uncertainity' to 'uncertainty', 'conversaction' to 'conversation', and 'exeuction' to 'execution' in relevant docstrings for clarity. * Fix typos in docstrings and comments across multiple files Corrected 'detla' to 'delta', 'buil-in' to 'built-in', 'walkaround' to 'workaround', and 'conversaction' to 'conversation' for clarity in relevant files. Updated comments for consistency. --------- Co-authored-by: Hangfei Lin <hangfei@google.com>
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@@ -42,10 +42,10 @@ class EvaluationGenerator:
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"""Returns evaluation responses for the given dataset and agent.
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Args:
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eval_dataset: The dataset that needs to be scraped for resposnes.
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eval_dataset: The dataset that needs to be scraped for responses.
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agent_module_path: Path to the module that contains the root agent.
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repeat_num: Number of time the eval dataset should be repeated. This is
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usually done to remove uncertainity that a single run may bring.
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usually done to remove uncertainty that a single run may bring.
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agent_name: The name of the agent that should be evaluated. This is
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usually the sub-agent.
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initial_session: Initial session for the eval data.
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@@ -253,8 +253,8 @@ class EvaluationGenerator:
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all_mock_tools: set[str],
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):
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"""Recursively apply the before_tool_callback to the root agent and all its subagents."""
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# check if the agent has tools that defined by evalset
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# We use function name to check if tools match
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# Check if the agent has tools that are defined by evalset.
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# We use function names to check if tools match
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if not isinstance(agent, Agent) and not isinstance(agent, LlmAgent):
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return
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