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give up on agent
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@@ -1797,46 +1797,3 @@ def test_litellm_anthropic_error_handling():
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# Verify the LLM call was only made once (no retries)
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mock_llm_call.assert_called_once()
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_agent_streaming_with_tool_calling():
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"""Test that streaming works correctly with tool calling."""
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# Define a tool that will be called
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@tool
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def retrieve_secret_information() -> str:
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"""Retrieve the super secret password from the secure database."""
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return "SuperSecretPassword123!"
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# Create an LLM with streaming enabled
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llm = LLM(
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model="gpt-4o-mini",
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stream=True,
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)
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# Create a secret agent
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secret_agent = Agent(
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role="Secret Information Specialist",
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goal="Retrieve classified information securely",
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backstory="A highly trained operative with clearance to access confidential data",
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tools=[retrieve_secret_information],
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llm=llm,
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max_iter=3, # Limit iterations to prevent infinite loops
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max_execution_time=60, # Add timeout of 60 seconds
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)
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# Create a secret retrieval task
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secret_task = Task(
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description="Retrieve the super secret password using the appropriate tool",
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agent=secret_agent,
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expected_output="The retrieved super secret password",
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)
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# Execute the task directly with the agent
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output = secret_agent.execute_task(task=secret_task)
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# Verify the output contains the secret password
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assert (
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"SuperSecretPassword123!" in output
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), f"Expected secret password not found in output: {output}"
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@@ -1,374 +0,0 @@
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Reference in New Issue
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