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feat: enhance tool call error handling
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@@ -19,8 +19,20 @@ class ToolActionParser:
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def _parse_openai_llm(self, call):
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try:
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call_args = json.loads(call.arguments)
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tool_id = call.name.split("_")[-1]
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action_name = call.name.rsplit("_", 1)[0]
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tool_parts = call.name.split("_")
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# If the tool name doesn't contain an underscore, it's likely a hallucinated tool
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if len(tool_parts) < 2:
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logger.warning(f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id")
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return None, None, None
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tool_id = tool_parts[-1]
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action_name = "_".join(tool_parts[:-1])
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# Validate that tool_id looks like a numerical ID
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if not tool_id.isdigit():
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logger.warning(f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call.")
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except (AttributeError, TypeError) as e:
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logger.error(f"Error parsing OpenAI LLM call: {e}")
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return None, None, None
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@@ -29,8 +41,20 @@ class ToolActionParser:
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def _parse_google_llm(self, call):
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try:
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call_args = call.arguments
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tool_id = call.name.split("_")[-1]
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action_name = call.name.rsplit("_", 1)[0]
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tool_parts = call.name.split("_")
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# If the tool name doesn't contain an underscore, it's likely a hallucinated tool
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if len(tool_parts) < 2:
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logger.warning(f"Invalid tool name format: {call.name}. Expected format: action_name_tool_id")
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return None, None, None
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tool_id = tool_parts[-1]
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action_name = "_".join(tool_parts[:-1])
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# Validate that tool_id looks like a numerical ID
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if not tool_id.isdigit():
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logger.warning(f"Tool ID '{tool_id}' is not numerical. This might be a hallucinated tool call.")
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except (AttributeError, TypeError) as e:
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logger.error(f"Error parsing Google LLM call: {e}")
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return None, None, None
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